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Medical students lead event addressing disparity in skin cancer morbidity and mortality
WASHINGTON – Those who self-identify as Hispanic or Black have a lower self-perceived risk of melanoma. In fact, people of color receive little to no information concerning skin cancer risks and prevention strategies and experience a longer time from diagnosis to definitive surgery, resulting in far worse outcomes, compared with non-Hispanic Whites.
This disparity is reflected in statistics showing that the average 5-year survival rate for melanoma is 92% in White patients but drops down to 67% in Black patients. Low income is also a contributing factor: Patients with lower incomes experience greater difficulty accessing health care and have greater time to diagnosis and a worse prognosis and survival time with melanoma. Despite economic advancements, Black Americans are still economically deprived when compared with White Americans.
This reality is what led Sarah Millan, a 4th-year medical student at George Washington University, Washington, to focus on the Ward 8 community in Washington – one of the poorest regions in our nation’s capital – well known for limited access to medical care and referred to as a health care desert. “Ward 8 has a population that is 92% Black and does not have a single dermatology clinic in the vicinity – my vision was to bring together the community through an enjoyable attraction conducive to the delivery of quality dermatologic care and education to a community that has none,” said Ms. Millan.
This low-resource population that is socioeconomically and geographically isolated is likely unaware of skin cancer risks, prevention strategies, and signs or symptoms that would warrant a visit to the dermatologist.
, while also exploring the attitudes and behaviors around skin cancer and sunscreen use in the community through data collected from optional surveys.
On Saturday, July 10, 2021, dermatologists from George Washington University, department of dermatology and medical students from George Washington School of Medicine and Health Sciences and Howard University College of Medicine in Washington, transformed Martha’s Outfitters in Ward 8 into a decorated, music-filled venue. Part of the Ward 8 council member’s 40 Days of Peace initiative, the Learn2Derm fair provided free skin cancer screenings by dermatologists, while students staffed various stations, delivering fun and interactive educational lessons organized by Ms. Millan under the mentorship of Adam Friedman, MD, chair of dermatology at George Washington University.
“It is our responsibility to support our communities through care, but even more importantly, combating misinformation and misperceptions that could interfere with healthy living,” said Dr. Friedman.
Activities included arts and crafts sponsored by the American Academy of Dermatology Good Skin Knowledge lessons, games with giveaways sponsored by the Polka Dot Mama Melanoma Foundation and IMPACT Melanoma, Skin Analyzers (to see where sunscreen was applied, and where it was missed) supplied by the Melanoma Research Foundation (MRF) and Children’s Melanoma Prevention Foundation (CMPF), and even Viva Vita virtual reality headsets that are catered towards the senior population – but enjoyable to anyone. Prizes and giveaways ranged from ultraviolet-induced color-changing bracelets and Frisbees, SPF lip balms, sunglasses – and of course – an abundant supply of free sunscreen. Many community members expressed their gratitude for this event and were impressed by the education that was enlivened through interactive games, activities, and giveaways. One participant shared the news of the event with a friend who immediately stopped what she was doing to come by for some education, a skin cancer screening, and free skincare products. While parents went in for a free skin cancer screening, their children were supervised by medical student volunteers as they colored or participated in other stations.
Ms. Millan’s involvement with the National Council on Skin Cancer Prevention’s Skin Smart Campus Initiative facilitated the support and partnership with multiple national organizations central to the event’s success, including the AAD, the National Council on Skin Cancer Prevention, the Skin Cancer Foundation, IMPACT Melanoma, Polka Dot Mama Melanoma Foundation, MRF, and CMPF. The donations of these organizations and businesses in the sun protection industry, along with faculty and medical students who share a passion for delivering dermatologic care and resources brought this exciting plan into fruition. The aim of Learn2Derm is not for this to be a single event, but rather the first of many that will continue to deliver this type of care to a community that is in need of greater dermatologic attention – an ongoing occurrence that can have a lasting impact on the Ward 8 community.
Major sunscreen manufacturers that donated sunscreen for this event included Avène, Black Girl Sunscreen, CeraVe, Cetaphil, EltaMD, and Neutrogena. Coolibar, which specializes in sun-protective clothing, also made a donation of multistyle hats, gaiters, and clothes for attendees.
References
1: Harvey VM et al. Cancer Control. 2014 Oct;21(4):343-9.
2: Tripathi R et al. J Am Acad Dermatol. 2020 Sep;83(3):854-9.
3. Beyer Don. “The Economic State of Black America in 2020” U.S. Congress: Joint Economic Committee.
4. Culp MaryBeth B and Lunsford Natasha Buchanan. “Melanoma Among Non-Hispanic Black Americans” Prev Chronic Dis;16. 2019 Jun 20. doi: 10.5888/pcd16.180640.
5. “Ask the Expert: Is There a Skin Cancer Crisis in People of Color?” The Skin Cancer Foundation. 2020 Jul 5.
6. Salvaggio C et al. Oncology. 2016;90(2):79-87.
WASHINGTON – Those who self-identify as Hispanic or Black have a lower self-perceived risk of melanoma. In fact, people of color receive little to no information concerning skin cancer risks and prevention strategies and experience a longer time from diagnosis to definitive surgery, resulting in far worse outcomes, compared with non-Hispanic Whites.
This disparity is reflected in statistics showing that the average 5-year survival rate for melanoma is 92% in White patients but drops down to 67% in Black patients. Low income is also a contributing factor: Patients with lower incomes experience greater difficulty accessing health care and have greater time to diagnosis and a worse prognosis and survival time with melanoma. Despite economic advancements, Black Americans are still economically deprived when compared with White Americans.
This reality is what led Sarah Millan, a 4th-year medical student at George Washington University, Washington, to focus on the Ward 8 community in Washington – one of the poorest regions in our nation’s capital – well known for limited access to medical care and referred to as a health care desert. “Ward 8 has a population that is 92% Black and does not have a single dermatology clinic in the vicinity – my vision was to bring together the community through an enjoyable attraction conducive to the delivery of quality dermatologic care and education to a community that has none,” said Ms. Millan.
This low-resource population that is socioeconomically and geographically isolated is likely unaware of skin cancer risks, prevention strategies, and signs or symptoms that would warrant a visit to the dermatologist.
, while also exploring the attitudes and behaviors around skin cancer and sunscreen use in the community through data collected from optional surveys.
On Saturday, July 10, 2021, dermatologists from George Washington University, department of dermatology and medical students from George Washington School of Medicine and Health Sciences and Howard University College of Medicine in Washington, transformed Martha’s Outfitters in Ward 8 into a decorated, music-filled venue. Part of the Ward 8 council member’s 40 Days of Peace initiative, the Learn2Derm fair provided free skin cancer screenings by dermatologists, while students staffed various stations, delivering fun and interactive educational lessons organized by Ms. Millan under the mentorship of Adam Friedman, MD, chair of dermatology at George Washington University.
“It is our responsibility to support our communities through care, but even more importantly, combating misinformation and misperceptions that could interfere with healthy living,” said Dr. Friedman.
Activities included arts and crafts sponsored by the American Academy of Dermatology Good Skin Knowledge lessons, games with giveaways sponsored by the Polka Dot Mama Melanoma Foundation and IMPACT Melanoma, Skin Analyzers (to see where sunscreen was applied, and where it was missed) supplied by the Melanoma Research Foundation (MRF) and Children’s Melanoma Prevention Foundation (CMPF), and even Viva Vita virtual reality headsets that are catered towards the senior population – but enjoyable to anyone. Prizes and giveaways ranged from ultraviolet-induced color-changing bracelets and Frisbees, SPF lip balms, sunglasses – and of course – an abundant supply of free sunscreen. Many community members expressed their gratitude for this event and were impressed by the education that was enlivened through interactive games, activities, and giveaways. One participant shared the news of the event with a friend who immediately stopped what she was doing to come by for some education, a skin cancer screening, and free skincare products. While parents went in for a free skin cancer screening, their children were supervised by medical student volunteers as they colored or participated in other stations.
Ms. Millan’s involvement with the National Council on Skin Cancer Prevention’s Skin Smart Campus Initiative facilitated the support and partnership with multiple national organizations central to the event’s success, including the AAD, the National Council on Skin Cancer Prevention, the Skin Cancer Foundation, IMPACT Melanoma, Polka Dot Mama Melanoma Foundation, MRF, and CMPF. The donations of these organizations and businesses in the sun protection industry, along with faculty and medical students who share a passion for delivering dermatologic care and resources brought this exciting plan into fruition. The aim of Learn2Derm is not for this to be a single event, but rather the first of many that will continue to deliver this type of care to a community that is in need of greater dermatologic attention – an ongoing occurrence that can have a lasting impact on the Ward 8 community.
Major sunscreen manufacturers that donated sunscreen for this event included Avène, Black Girl Sunscreen, CeraVe, Cetaphil, EltaMD, and Neutrogena. Coolibar, which specializes in sun-protective clothing, also made a donation of multistyle hats, gaiters, and clothes for attendees.
References
1: Harvey VM et al. Cancer Control. 2014 Oct;21(4):343-9.
2: Tripathi R et al. J Am Acad Dermatol. 2020 Sep;83(3):854-9.
3. Beyer Don. “The Economic State of Black America in 2020” U.S. Congress: Joint Economic Committee.
4. Culp MaryBeth B and Lunsford Natasha Buchanan. “Melanoma Among Non-Hispanic Black Americans” Prev Chronic Dis;16. 2019 Jun 20. doi: 10.5888/pcd16.180640.
5. “Ask the Expert: Is There a Skin Cancer Crisis in People of Color?” The Skin Cancer Foundation. 2020 Jul 5.
6. Salvaggio C et al. Oncology. 2016;90(2):79-87.
WASHINGTON – Those who self-identify as Hispanic or Black have a lower self-perceived risk of melanoma. In fact, people of color receive little to no information concerning skin cancer risks and prevention strategies and experience a longer time from diagnosis to definitive surgery, resulting in far worse outcomes, compared with non-Hispanic Whites.
This disparity is reflected in statistics showing that the average 5-year survival rate for melanoma is 92% in White patients but drops down to 67% in Black patients. Low income is also a contributing factor: Patients with lower incomes experience greater difficulty accessing health care and have greater time to diagnosis and a worse prognosis and survival time with melanoma. Despite economic advancements, Black Americans are still economically deprived when compared with White Americans.
This reality is what led Sarah Millan, a 4th-year medical student at George Washington University, Washington, to focus on the Ward 8 community in Washington – one of the poorest regions in our nation’s capital – well known for limited access to medical care and referred to as a health care desert. “Ward 8 has a population that is 92% Black and does not have a single dermatology clinic in the vicinity – my vision was to bring together the community through an enjoyable attraction conducive to the delivery of quality dermatologic care and education to a community that has none,” said Ms. Millan.
This low-resource population that is socioeconomically and geographically isolated is likely unaware of skin cancer risks, prevention strategies, and signs or symptoms that would warrant a visit to the dermatologist.
, while also exploring the attitudes and behaviors around skin cancer and sunscreen use in the community through data collected from optional surveys.
On Saturday, July 10, 2021, dermatologists from George Washington University, department of dermatology and medical students from George Washington School of Medicine and Health Sciences and Howard University College of Medicine in Washington, transformed Martha’s Outfitters in Ward 8 into a decorated, music-filled venue. Part of the Ward 8 council member’s 40 Days of Peace initiative, the Learn2Derm fair provided free skin cancer screenings by dermatologists, while students staffed various stations, delivering fun and interactive educational lessons organized by Ms. Millan under the mentorship of Adam Friedman, MD, chair of dermatology at George Washington University.
“It is our responsibility to support our communities through care, but even more importantly, combating misinformation and misperceptions that could interfere with healthy living,” said Dr. Friedman.
Activities included arts and crafts sponsored by the American Academy of Dermatology Good Skin Knowledge lessons, games with giveaways sponsored by the Polka Dot Mama Melanoma Foundation and IMPACT Melanoma, Skin Analyzers (to see where sunscreen was applied, and where it was missed) supplied by the Melanoma Research Foundation (MRF) and Children’s Melanoma Prevention Foundation (CMPF), and even Viva Vita virtual reality headsets that are catered towards the senior population – but enjoyable to anyone. Prizes and giveaways ranged from ultraviolet-induced color-changing bracelets and Frisbees, SPF lip balms, sunglasses – and of course – an abundant supply of free sunscreen. Many community members expressed their gratitude for this event and were impressed by the education that was enlivened through interactive games, activities, and giveaways. One participant shared the news of the event with a friend who immediately stopped what she was doing to come by for some education, a skin cancer screening, and free skincare products. While parents went in for a free skin cancer screening, their children were supervised by medical student volunteers as they colored or participated in other stations.
Ms. Millan’s involvement with the National Council on Skin Cancer Prevention’s Skin Smart Campus Initiative facilitated the support and partnership with multiple national organizations central to the event’s success, including the AAD, the National Council on Skin Cancer Prevention, the Skin Cancer Foundation, IMPACT Melanoma, Polka Dot Mama Melanoma Foundation, MRF, and CMPF. The donations of these organizations and businesses in the sun protection industry, along with faculty and medical students who share a passion for delivering dermatologic care and resources brought this exciting plan into fruition. The aim of Learn2Derm is not for this to be a single event, but rather the first of many that will continue to deliver this type of care to a community that is in need of greater dermatologic attention – an ongoing occurrence that can have a lasting impact on the Ward 8 community.
Major sunscreen manufacturers that donated sunscreen for this event included Avène, Black Girl Sunscreen, CeraVe, Cetaphil, EltaMD, and Neutrogena. Coolibar, which specializes in sun-protective clothing, also made a donation of multistyle hats, gaiters, and clothes for attendees.
References
1: Harvey VM et al. Cancer Control. 2014 Oct;21(4):343-9.
2: Tripathi R et al. J Am Acad Dermatol. 2020 Sep;83(3):854-9.
3. Beyer Don. “The Economic State of Black America in 2020” U.S. Congress: Joint Economic Committee.
4. Culp MaryBeth B and Lunsford Natasha Buchanan. “Melanoma Among Non-Hispanic Black Americans” Prev Chronic Dis;16. 2019 Jun 20. doi: 10.5888/pcd16.180640.
5. “Ask the Expert: Is There a Skin Cancer Crisis in People of Color?” The Skin Cancer Foundation. 2020 Jul 5.
6. Salvaggio C et al. Oncology. 2016;90(2):79-87.
Which AK treatment has the best long-term efficacy? A study reviews the data
The four
results from a systemic review and meta-analysis suggest.To date, many studies have reported that “most interventions are superior to placebo in terms of lesion clearance and improving the cosmetic image,” corresponding author Markus V. Heppt, MD, MSc, and colleagues wrote in a study published online Aug. 4, 2021, in JAMA Dermatology.
“However, most randomized clinical trials (RCTs) and meta-analyses focused on short-term outcomes that are evaluated within 3-6 months after treatment, although AK is increasingly being considered a chronic condition and reducing the incidence of cSCC [cutaneous squamous cell carcinoma] should be the ultimate goal of treatment,” they said. In addition, most treatments have been compared with placebo “and head-to-head comparisons are widely lacking, limiting the possibility to cross compare distinct active treatments. To this end, no evidence-based recommendation regarding the long-term efficacy of interventions for AK exists.”
To determine the long-term clearance rates of treatments used in adults with AK, a precursor of cSCC, Dr. Heppt, of the department of dermatology at University Hospital Erlangen (Germany), and colleagues drew from 15 randomized clinical trials that reported sustained clearance rates after at least 12 months of treatment and were published up to April 6, 2020. They conducted the review by following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) reporting guideline and its extension for network meta-analyses (PRIMSA-NMA) and using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) process to determine the certainty of the evidence for network meta-analyses.
The study population included 4,252 patients. Among 10 studies included in a network meta-analysis for the outcome of participant complete clearance, ALA-PDT showed the most favorable risk ratio profile, compared with placebo (RR, 8.06; moderate-quality evidence on GRADE), followed by imiquimod, 5% (RR, 5.98; very-low-quality evidence on GRADE); MAL-PDT (RR, 5.95; low-quality evidence on GRADE); and cryosurgery (RR, 4.76; very-low-quality evidence on GRADE).
ALA-PDT had the highest RR in the network meta-analyses for lesion-specific clearance (RR, 5.08; moderate-quality evidence on GRADE).
“Although ALA-PDT showed the most favorable RR and was ranked best among all interventions, the relative efficacy values and treatment rankings must be interpreted with caution,” because of the low certainty of evidence and few direct, head-to-head comparisons, the authors emphasized. “In particular, it remains elusive how to translate the distinct RR values into clinical relevance. We are hesitant to derive hierarchical or algorithmic treatment recommendations from our results.”
“The current meta-analysis notes that there are conflicting results in different studies,” said Christine Ko, MD, professor of dermatology and pathology at Yale University, New Haven, Conn. who was asked to comment on the study. “Sustained participant complete clearance of actinic keratoses at 12 months is used as an outcome measure, although the authors comment that prevention/reduction of squamous cell carcinoma might be the more valid outcome measure.”
In her clinical experience, Dr. Ko said that patients often have good, sustained clearance of AKs with field treatment using a topical medication like 5-fluorouracil. “Patients can also have a good result with photodynamic therapy,” she said. “The paper’s results therefore do reflect what I have seen in my own practice. I also agree with the authors that, while it is difficult to measure, a meaningful outcome for patients is reduction/prevention of squamous cell carcinoma. It would be useful to have data on which treatment of actinic keratosis is best to reduce/prevent squamous cell carcinoma.”
The authors acknowledged limitations of the study, including the fact that field-directed treatments such as imiquimod, PDT, and fluorouracil were compared with lesion-directed approaches such as cryosurgery, “which may limit the generalizability of our results.” They concluded that their analysis “provides data that might contribute to an evidence-based framework to guide the selection of interventions for AK with proven long-term efficacy and sustained AK clearance.”
The analysis did not include data on tirbanibulin, a first-in-class dual Src kinase and tubulin polymerization inhibitor that was approved by the FDA for the topical treatment of AKs on the face or scalp in December 2020.
Dr. Heppt disclosed that he has been a member of the advisory boards of Almirall Hermal and Sanofi-Aventis and has received speaker’s honoraria from Galderma and Biofrontera. Many of his coauthors also reported having relevant financial disclosures. Dr. Ko reported having no relevant disclosures.
The four
results from a systemic review and meta-analysis suggest.To date, many studies have reported that “most interventions are superior to placebo in terms of lesion clearance and improving the cosmetic image,” corresponding author Markus V. Heppt, MD, MSc, and colleagues wrote in a study published online Aug. 4, 2021, in JAMA Dermatology.
“However, most randomized clinical trials (RCTs) and meta-analyses focused on short-term outcomes that are evaluated within 3-6 months after treatment, although AK is increasingly being considered a chronic condition and reducing the incidence of cSCC [cutaneous squamous cell carcinoma] should be the ultimate goal of treatment,” they said. In addition, most treatments have been compared with placebo “and head-to-head comparisons are widely lacking, limiting the possibility to cross compare distinct active treatments. To this end, no evidence-based recommendation regarding the long-term efficacy of interventions for AK exists.”
To determine the long-term clearance rates of treatments used in adults with AK, a precursor of cSCC, Dr. Heppt, of the department of dermatology at University Hospital Erlangen (Germany), and colleagues drew from 15 randomized clinical trials that reported sustained clearance rates after at least 12 months of treatment and were published up to April 6, 2020. They conducted the review by following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) reporting guideline and its extension for network meta-analyses (PRIMSA-NMA) and using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) process to determine the certainty of the evidence for network meta-analyses.
The study population included 4,252 patients. Among 10 studies included in a network meta-analysis for the outcome of participant complete clearance, ALA-PDT showed the most favorable risk ratio profile, compared with placebo (RR, 8.06; moderate-quality evidence on GRADE), followed by imiquimod, 5% (RR, 5.98; very-low-quality evidence on GRADE); MAL-PDT (RR, 5.95; low-quality evidence on GRADE); and cryosurgery (RR, 4.76; very-low-quality evidence on GRADE).
ALA-PDT had the highest RR in the network meta-analyses for lesion-specific clearance (RR, 5.08; moderate-quality evidence on GRADE).
“Although ALA-PDT showed the most favorable RR and was ranked best among all interventions, the relative efficacy values and treatment rankings must be interpreted with caution,” because of the low certainty of evidence and few direct, head-to-head comparisons, the authors emphasized. “In particular, it remains elusive how to translate the distinct RR values into clinical relevance. We are hesitant to derive hierarchical or algorithmic treatment recommendations from our results.”
“The current meta-analysis notes that there are conflicting results in different studies,” said Christine Ko, MD, professor of dermatology and pathology at Yale University, New Haven, Conn. who was asked to comment on the study. “Sustained participant complete clearance of actinic keratoses at 12 months is used as an outcome measure, although the authors comment that prevention/reduction of squamous cell carcinoma might be the more valid outcome measure.”
In her clinical experience, Dr. Ko said that patients often have good, sustained clearance of AKs with field treatment using a topical medication like 5-fluorouracil. “Patients can also have a good result with photodynamic therapy,” she said. “The paper’s results therefore do reflect what I have seen in my own practice. I also agree with the authors that, while it is difficult to measure, a meaningful outcome for patients is reduction/prevention of squamous cell carcinoma. It would be useful to have data on which treatment of actinic keratosis is best to reduce/prevent squamous cell carcinoma.”
The authors acknowledged limitations of the study, including the fact that field-directed treatments such as imiquimod, PDT, and fluorouracil were compared with lesion-directed approaches such as cryosurgery, “which may limit the generalizability of our results.” They concluded that their analysis “provides data that might contribute to an evidence-based framework to guide the selection of interventions for AK with proven long-term efficacy and sustained AK clearance.”
The analysis did not include data on tirbanibulin, a first-in-class dual Src kinase and tubulin polymerization inhibitor that was approved by the FDA for the topical treatment of AKs on the face or scalp in December 2020.
Dr. Heppt disclosed that he has been a member of the advisory boards of Almirall Hermal and Sanofi-Aventis and has received speaker’s honoraria from Galderma and Biofrontera. Many of his coauthors also reported having relevant financial disclosures. Dr. Ko reported having no relevant disclosures.
The four
results from a systemic review and meta-analysis suggest.To date, many studies have reported that “most interventions are superior to placebo in terms of lesion clearance and improving the cosmetic image,” corresponding author Markus V. Heppt, MD, MSc, and colleagues wrote in a study published online Aug. 4, 2021, in JAMA Dermatology.
“However, most randomized clinical trials (RCTs) and meta-analyses focused on short-term outcomes that are evaluated within 3-6 months after treatment, although AK is increasingly being considered a chronic condition and reducing the incidence of cSCC [cutaneous squamous cell carcinoma] should be the ultimate goal of treatment,” they said. In addition, most treatments have been compared with placebo “and head-to-head comparisons are widely lacking, limiting the possibility to cross compare distinct active treatments. To this end, no evidence-based recommendation regarding the long-term efficacy of interventions for AK exists.”
To determine the long-term clearance rates of treatments used in adults with AK, a precursor of cSCC, Dr. Heppt, of the department of dermatology at University Hospital Erlangen (Germany), and colleagues drew from 15 randomized clinical trials that reported sustained clearance rates after at least 12 months of treatment and were published up to April 6, 2020. They conducted the review by following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) reporting guideline and its extension for network meta-analyses (PRIMSA-NMA) and using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) process to determine the certainty of the evidence for network meta-analyses.
The study population included 4,252 patients. Among 10 studies included in a network meta-analysis for the outcome of participant complete clearance, ALA-PDT showed the most favorable risk ratio profile, compared with placebo (RR, 8.06; moderate-quality evidence on GRADE), followed by imiquimod, 5% (RR, 5.98; very-low-quality evidence on GRADE); MAL-PDT (RR, 5.95; low-quality evidence on GRADE); and cryosurgery (RR, 4.76; very-low-quality evidence on GRADE).
ALA-PDT had the highest RR in the network meta-analyses for lesion-specific clearance (RR, 5.08; moderate-quality evidence on GRADE).
“Although ALA-PDT showed the most favorable RR and was ranked best among all interventions, the relative efficacy values and treatment rankings must be interpreted with caution,” because of the low certainty of evidence and few direct, head-to-head comparisons, the authors emphasized. “In particular, it remains elusive how to translate the distinct RR values into clinical relevance. We are hesitant to derive hierarchical or algorithmic treatment recommendations from our results.”
“The current meta-analysis notes that there are conflicting results in different studies,” said Christine Ko, MD, professor of dermatology and pathology at Yale University, New Haven, Conn. who was asked to comment on the study. “Sustained participant complete clearance of actinic keratoses at 12 months is used as an outcome measure, although the authors comment that prevention/reduction of squamous cell carcinoma might be the more valid outcome measure.”
In her clinical experience, Dr. Ko said that patients often have good, sustained clearance of AKs with field treatment using a topical medication like 5-fluorouracil. “Patients can also have a good result with photodynamic therapy,” she said. “The paper’s results therefore do reflect what I have seen in my own practice. I also agree with the authors that, while it is difficult to measure, a meaningful outcome for patients is reduction/prevention of squamous cell carcinoma. It would be useful to have data on which treatment of actinic keratosis is best to reduce/prevent squamous cell carcinoma.”
The authors acknowledged limitations of the study, including the fact that field-directed treatments such as imiquimod, PDT, and fluorouracil were compared with lesion-directed approaches such as cryosurgery, “which may limit the generalizability of our results.” They concluded that their analysis “provides data that might contribute to an evidence-based framework to guide the selection of interventions for AK with proven long-term efficacy and sustained AK clearance.”
The analysis did not include data on tirbanibulin, a first-in-class dual Src kinase and tubulin polymerization inhibitor that was approved by the FDA for the topical treatment of AKs on the face or scalp in December 2020.
Dr. Heppt disclosed that he has been a member of the advisory boards of Almirall Hermal and Sanofi-Aventis and has received speaker’s honoraria from Galderma and Biofrontera. Many of his coauthors also reported having relevant financial disclosures. Dr. Ko reported having no relevant disclosures.
FROM JAMA DERMATOLOGY
Exploring the Utility of Artificial Intelligence During COVID-19 in Dermatology Practice
With the need to adapt to the given challenges associated with COVID-19, artificial intelligence (AI) serves as a potential tool in providing access to medical-based diagnosis in a novel way. Artificial intelligence is defined as intelligence harnessed by machines that have the ability to perform what is called cognitive thinking and to mimic the problem-solving abilities of the human mind. Virtual AI in dermatology entails neural network–based guidance that includes developing algorithms to detect skin pathology through photographs.1 To use AI in dermatology, recognition of visual patterns must be established to give diagnoses. These neural networks have been used to classify skin diseases, including cancer, actinic keratosis, and warts.2
AI for Skin Cancer
The use of AI to classify melanoma and nonmelanoma skin cancer has been studied extensively, including the following 2 research projects.
Convolutional Neural Network
In 2017, Stanford University published a study in which a deep-learning algorithm known as a convolutional neural network was used to classify skin lesions.3 The network was trained using a dataset of 129,450 clinical images of 2032 diseases. Its performance was compared to that of 21 board-certified dermatologists on biopsy-proven clinical images with 2 classifications of cases: (1) keratinocyte carcinoma as opposed to benign seborrheic keratosis and (2) malignant melanoma as opposed to benign nevi—the first representing the most common skin cancers, and the second, the deadliest skin cancers. The study showed that the machine could accurately identify and classify skin cancers compared to the work of board-certified dermatologists. The study did not include demographic information, which limits its external validity.3
Dermoscopic Image Classification
A 2019 study by Brinker and colleagues4 showed the superiority of automated dermoscopic melanoma image classifications compared to the work of board-certified dermatologists. For the study, 804 biopsy-proven images of melanoma and nevi (1:1 ratio) were randomly presented to dermatologists for their evaluation and recommended treatment (yielding 19,296 recommendations). The dermatologists classified the lesions with a sensitivity of 67.2% and specificity of 62.2%; the trained convolutional neural network attained both higher sensitivity (82.3%) and higher specificity (77.9%).4
Smartphone Diagnosis of Melanoma
An application of AI has been to use smartphone apps for the diagnosis of melanoma. The most utilized and novel algorithm-based smartphone app that assesses skin lesions for malignancy characteristics is SkinVision. With a simple download from Apple’s App Store, this technology allows a person to check their skin spots by taking a photograph and receiving algorithmic risk-assessment feedback. This inexpensive software ($51.78 a year) also allows a patient’s physician to assess the photograph and then validate their assessment by comparing it with the algorithmic analysis that the program provides.5
A review of SkinVision conducted by Thissen and colleagues6 found that, in a hypothetical population of 1000 adults of whom 3% actually had melanoma, 4 of those 30 people would not have been flagged as at “high risk” by SkinVision. There also was a high false-positive rate with the app, with more than 200 people flagged as at high risk. The analysis pegged SkinVision as having a sensitivity of 88% and specificity of 79%.6
In summary, systematic review of diagnostic accuracy has shown that, although there is accuracy in AI analyses, it should be used only as a guide for health care advice due to variability in algorithm performance.7
Utility of AI in Telehealth
Artificial intelligence algorithms could be created to ensure telehealth image accuracy, stratify risk, and track patient progress. With teledermatology visits on the rise during the COVID-19 pandemic, AI algorithms could ensure that photographs of appropriate quality are taken. Also, patients could be organized by risk factors with such algorithms, allowing physicians to save time on triage and stratification. Algorithms also could be used to track a telehealth patient’s treatment and progress.8
Furthermore, there is a need for an algorithm that has the ability to detect, quantify, and monitor changes in dermatologic conditions using images that patients have uploaded. This capability will lead to creation of a standardized quantification scale that will allow physicians to virtually track the progression of visible skin pathologies.
Hazards of Racial Bias in AI
Artificial intelligence is limited by racial disparity bias seen in computerized medicine. For years, the majority of dermatology research, especially in skin cancer, has been conducted on fairer-skinned populations. This bias has existed at the expense of darker-skinned patients, whose skin conditions and symptoms present differently,9 and reflects directly in available data sets that can be used to develop AI algorithms. Because these data are inadequate to the task, AI might misdiagnose skin cancer in people of color or miss an existing condition entirely.10 Consequently, the higher rate of skin cancer mortality that is reported in people of color is likely to persist with the rise of AI in dermatology.11 A more representative database of imaged skin lesions needs to be utilized to create a diversely representative and applicable data set for AI algorithms.12
Benefits of Conversational Agents
Another method by which AI could be incorporated into dermatology is through what is known as a conversational agent (CA)—AI software that engages in a dialogue with users by interpreting their voice and replying to them through text, image, or voice.13 Conversational agents facilitate remote patient management, allow clinicians to focus on other functions, and aid in data collection.14 A 2014 study showed that patients were significantly more likely to disclose history and emotions when informed they were interacting with a CA than with a human clinician (P=.007).15 Such benefits could be invaluable in dermatology, where emotions and patient perceptions of skin conditions play into the treatment process.
However, some evidence showed that CAs cannot respond to patients’ statements in all circumstances.16 It also is unclear how well CAs recognize nuanced statements that might signal potential harm. This fits into the greater theme of a major problem with AI: the lack of a reliable response in all circumstances.13
Final Thoughts
The practical implementations of AI in dermatology are still being explored. Given the uncertainty surrounding the COVID-19 pandemic and the future of patient care, AI might serve as an important asset in assisting with the diagnosis and treatment of dermatologic conditions, physician productivity, and patient monitoring.
- Amisha, Malik P, Pathania M, et al. Overview of artificial intelligence in medicine. J Family Med Prim Care. 2019;8:2328-2331. doi:10.4103/jfmpc.jfmpc_440_19
- Han SS, Kim MS, Lim W, et al. Classification of the clinical images for benign and malignant cutaneous tumors using a deep learning algorithm. J Invest Dermatol. 2018;138:1529-1538. doi:10.1016/j.jid.2018.01.028
- Esteva A, Kuprel B, Novoa RA, et al. Dermatologist-level classification of skin cancer with deep neural networks. Nature. 2017;542:115-118. doi:10.1038/nature21056
- Brinker TJ, Hekler A, Enk AH, et al. Deep neural networks are superior to dermatologists in melanoma image classification. Eur J Cancer. 2019;119:11-17. doi:10.1016/j.ejca.2019.05.023
- Regulated medical device for detecting skin cancer. SkinVision website. Accessed July 23, 2021. https://www.skinvision.com/hcp/
- Thissen M, Udrea A, Hacking M, et al. mHealth app for risk assessment of pigmented and nonpigmented skin lesions—a study on sensitivity and specificity in detecting malignancy. Telemed J E Health. 2017;23:948-954. doi:10.1089/tmj.2016.0259
- Freeman K, Dinnes J, Chuchu N, et al. Algorithm based smartphone apps to assess risk of skin cancer in adults: systematic review of diagnostic accuracy studies. BMJ. 2020;368:m127. doi:10.1136/bmj.m127
- Puri P, Comfere N, Pittelkow MR, et al. COVID-19: an opportunity to build dermatology’s digital future. Dermatol Ther. 2020;33:e14149. doi:10.1111/dth.14149
- Buster KJ, Stevens EI, Elmets CA. Dermatologic health disparities. Dermatol Clin. 2012;30:53-59,viii. doi:10.1016/j.det.2011.08.002
- Adamson AS, Smith A. Machine learning and health care disparities in dermatology. JAMA Dermatol. 2018;154:1247-1248. doi:10.1001/jamadermatol.2018.2348
- Agbai ON, Buster K, Sanchez M, et al. Skin cancer and photoprotection in people of color: a review and recommendations for physicians and the public. J Am Acad Dermatol. 2014;70:748-762. doi:S0190-9622(13)01296-6
- Alabdulkareem A. Artificial intelligence and dermatologists: friends or foes? J Dermatol Dermatolog Surg. 2019;23:57-60. doi:10.4103/jdds.jdds_19_19
- McGreevey JD 3rd, Hanson CW 3rd, Koppel R. Clinical, legal, and ethical aspects of artificial intelligence-assisted conversational agents in health care. JAMA. 2020;324:552-553. doi:10.1001/jama.2020.2724
- Piau A, Crissey R, Brechemier D, et al. A smartphone chatbot application to optimize monitoring of older patients with cancer. Int J Med Inform. 2019;128:18-23. doi:10.1016/j.ijmedinf.2019.05.013
- Lucas GM, Gratch J, King A, et al. It’s only a computer: virtual humans increase willingness to disclose. Comput Human Behav. 2014;37:94-100. https://doi.org/10.1016/j.chb.2014.04.043
- Miner AS, Milstein A, Schueller S, et al. Smartphone-based conversational agents and responses to questions about mental health, interpersonal violence, and physical health. JAMA Intern Med. 2016;176:619-625. doi:10.1001/jamainternmed.2016.0400
With the need to adapt to the given challenges associated with COVID-19, artificial intelligence (AI) serves as a potential tool in providing access to medical-based diagnosis in a novel way. Artificial intelligence is defined as intelligence harnessed by machines that have the ability to perform what is called cognitive thinking and to mimic the problem-solving abilities of the human mind. Virtual AI in dermatology entails neural network–based guidance that includes developing algorithms to detect skin pathology through photographs.1 To use AI in dermatology, recognition of visual patterns must be established to give diagnoses. These neural networks have been used to classify skin diseases, including cancer, actinic keratosis, and warts.2
AI for Skin Cancer
The use of AI to classify melanoma and nonmelanoma skin cancer has been studied extensively, including the following 2 research projects.
Convolutional Neural Network
In 2017, Stanford University published a study in which a deep-learning algorithm known as a convolutional neural network was used to classify skin lesions.3 The network was trained using a dataset of 129,450 clinical images of 2032 diseases. Its performance was compared to that of 21 board-certified dermatologists on biopsy-proven clinical images with 2 classifications of cases: (1) keratinocyte carcinoma as opposed to benign seborrheic keratosis and (2) malignant melanoma as opposed to benign nevi—the first representing the most common skin cancers, and the second, the deadliest skin cancers. The study showed that the machine could accurately identify and classify skin cancers compared to the work of board-certified dermatologists. The study did not include demographic information, which limits its external validity.3
Dermoscopic Image Classification
A 2019 study by Brinker and colleagues4 showed the superiority of automated dermoscopic melanoma image classifications compared to the work of board-certified dermatologists. For the study, 804 biopsy-proven images of melanoma and nevi (1:1 ratio) were randomly presented to dermatologists for their evaluation and recommended treatment (yielding 19,296 recommendations). The dermatologists classified the lesions with a sensitivity of 67.2% and specificity of 62.2%; the trained convolutional neural network attained both higher sensitivity (82.3%) and higher specificity (77.9%).4
Smartphone Diagnosis of Melanoma
An application of AI has been to use smartphone apps for the diagnosis of melanoma. The most utilized and novel algorithm-based smartphone app that assesses skin lesions for malignancy characteristics is SkinVision. With a simple download from Apple’s App Store, this technology allows a person to check their skin spots by taking a photograph and receiving algorithmic risk-assessment feedback. This inexpensive software ($51.78 a year) also allows a patient’s physician to assess the photograph and then validate their assessment by comparing it with the algorithmic analysis that the program provides.5
A review of SkinVision conducted by Thissen and colleagues6 found that, in a hypothetical population of 1000 adults of whom 3% actually had melanoma, 4 of those 30 people would not have been flagged as at “high risk” by SkinVision. There also was a high false-positive rate with the app, with more than 200 people flagged as at high risk. The analysis pegged SkinVision as having a sensitivity of 88% and specificity of 79%.6
In summary, systematic review of diagnostic accuracy has shown that, although there is accuracy in AI analyses, it should be used only as a guide for health care advice due to variability in algorithm performance.7
Utility of AI in Telehealth
Artificial intelligence algorithms could be created to ensure telehealth image accuracy, stratify risk, and track patient progress. With teledermatology visits on the rise during the COVID-19 pandemic, AI algorithms could ensure that photographs of appropriate quality are taken. Also, patients could be organized by risk factors with such algorithms, allowing physicians to save time on triage and stratification. Algorithms also could be used to track a telehealth patient’s treatment and progress.8
Furthermore, there is a need for an algorithm that has the ability to detect, quantify, and monitor changes in dermatologic conditions using images that patients have uploaded. This capability will lead to creation of a standardized quantification scale that will allow physicians to virtually track the progression of visible skin pathologies.
Hazards of Racial Bias in AI
Artificial intelligence is limited by racial disparity bias seen in computerized medicine. For years, the majority of dermatology research, especially in skin cancer, has been conducted on fairer-skinned populations. This bias has existed at the expense of darker-skinned patients, whose skin conditions and symptoms present differently,9 and reflects directly in available data sets that can be used to develop AI algorithms. Because these data are inadequate to the task, AI might misdiagnose skin cancer in people of color or miss an existing condition entirely.10 Consequently, the higher rate of skin cancer mortality that is reported in people of color is likely to persist with the rise of AI in dermatology.11 A more representative database of imaged skin lesions needs to be utilized to create a diversely representative and applicable data set for AI algorithms.12
Benefits of Conversational Agents
Another method by which AI could be incorporated into dermatology is through what is known as a conversational agent (CA)—AI software that engages in a dialogue with users by interpreting their voice and replying to them through text, image, or voice.13 Conversational agents facilitate remote patient management, allow clinicians to focus on other functions, and aid in data collection.14 A 2014 study showed that patients were significantly more likely to disclose history and emotions when informed they were interacting with a CA than with a human clinician (P=.007).15 Such benefits could be invaluable in dermatology, where emotions and patient perceptions of skin conditions play into the treatment process.
However, some evidence showed that CAs cannot respond to patients’ statements in all circumstances.16 It also is unclear how well CAs recognize nuanced statements that might signal potential harm. This fits into the greater theme of a major problem with AI: the lack of a reliable response in all circumstances.13
Final Thoughts
The practical implementations of AI in dermatology are still being explored. Given the uncertainty surrounding the COVID-19 pandemic and the future of patient care, AI might serve as an important asset in assisting with the diagnosis and treatment of dermatologic conditions, physician productivity, and patient monitoring.
With the need to adapt to the given challenges associated with COVID-19, artificial intelligence (AI) serves as a potential tool in providing access to medical-based diagnosis in a novel way. Artificial intelligence is defined as intelligence harnessed by machines that have the ability to perform what is called cognitive thinking and to mimic the problem-solving abilities of the human mind. Virtual AI in dermatology entails neural network–based guidance that includes developing algorithms to detect skin pathology through photographs.1 To use AI in dermatology, recognition of visual patterns must be established to give diagnoses. These neural networks have been used to classify skin diseases, including cancer, actinic keratosis, and warts.2
AI for Skin Cancer
The use of AI to classify melanoma and nonmelanoma skin cancer has been studied extensively, including the following 2 research projects.
Convolutional Neural Network
In 2017, Stanford University published a study in which a deep-learning algorithm known as a convolutional neural network was used to classify skin lesions.3 The network was trained using a dataset of 129,450 clinical images of 2032 diseases. Its performance was compared to that of 21 board-certified dermatologists on biopsy-proven clinical images with 2 classifications of cases: (1) keratinocyte carcinoma as opposed to benign seborrheic keratosis and (2) malignant melanoma as opposed to benign nevi—the first representing the most common skin cancers, and the second, the deadliest skin cancers. The study showed that the machine could accurately identify and classify skin cancers compared to the work of board-certified dermatologists. The study did not include demographic information, which limits its external validity.3
Dermoscopic Image Classification
A 2019 study by Brinker and colleagues4 showed the superiority of automated dermoscopic melanoma image classifications compared to the work of board-certified dermatologists. For the study, 804 biopsy-proven images of melanoma and nevi (1:1 ratio) were randomly presented to dermatologists for their evaluation and recommended treatment (yielding 19,296 recommendations). The dermatologists classified the lesions with a sensitivity of 67.2% and specificity of 62.2%; the trained convolutional neural network attained both higher sensitivity (82.3%) and higher specificity (77.9%).4
Smartphone Diagnosis of Melanoma
An application of AI has been to use smartphone apps for the diagnosis of melanoma. The most utilized and novel algorithm-based smartphone app that assesses skin lesions for malignancy characteristics is SkinVision. With a simple download from Apple’s App Store, this technology allows a person to check their skin spots by taking a photograph and receiving algorithmic risk-assessment feedback. This inexpensive software ($51.78 a year) also allows a patient’s physician to assess the photograph and then validate their assessment by comparing it with the algorithmic analysis that the program provides.5
A review of SkinVision conducted by Thissen and colleagues6 found that, in a hypothetical population of 1000 adults of whom 3% actually had melanoma, 4 of those 30 people would not have been flagged as at “high risk” by SkinVision. There also was a high false-positive rate with the app, with more than 200 people flagged as at high risk. The analysis pegged SkinVision as having a sensitivity of 88% and specificity of 79%.6
In summary, systematic review of diagnostic accuracy has shown that, although there is accuracy in AI analyses, it should be used only as a guide for health care advice due to variability in algorithm performance.7
Utility of AI in Telehealth
Artificial intelligence algorithms could be created to ensure telehealth image accuracy, stratify risk, and track patient progress. With teledermatology visits on the rise during the COVID-19 pandemic, AI algorithms could ensure that photographs of appropriate quality are taken. Also, patients could be organized by risk factors with such algorithms, allowing physicians to save time on triage and stratification. Algorithms also could be used to track a telehealth patient’s treatment and progress.8
Furthermore, there is a need for an algorithm that has the ability to detect, quantify, and monitor changes in dermatologic conditions using images that patients have uploaded. This capability will lead to creation of a standardized quantification scale that will allow physicians to virtually track the progression of visible skin pathologies.
Hazards of Racial Bias in AI
Artificial intelligence is limited by racial disparity bias seen in computerized medicine. For years, the majority of dermatology research, especially in skin cancer, has been conducted on fairer-skinned populations. This bias has existed at the expense of darker-skinned patients, whose skin conditions and symptoms present differently,9 and reflects directly in available data sets that can be used to develop AI algorithms. Because these data are inadequate to the task, AI might misdiagnose skin cancer in people of color or miss an existing condition entirely.10 Consequently, the higher rate of skin cancer mortality that is reported in people of color is likely to persist with the rise of AI in dermatology.11 A more representative database of imaged skin lesions needs to be utilized to create a diversely representative and applicable data set for AI algorithms.12
Benefits of Conversational Agents
Another method by which AI could be incorporated into dermatology is through what is known as a conversational agent (CA)—AI software that engages in a dialogue with users by interpreting their voice and replying to them through text, image, or voice.13 Conversational agents facilitate remote patient management, allow clinicians to focus on other functions, and aid in data collection.14 A 2014 study showed that patients were significantly more likely to disclose history and emotions when informed they were interacting with a CA than with a human clinician (P=.007).15 Such benefits could be invaluable in dermatology, where emotions and patient perceptions of skin conditions play into the treatment process.
However, some evidence showed that CAs cannot respond to patients’ statements in all circumstances.16 It also is unclear how well CAs recognize nuanced statements that might signal potential harm. This fits into the greater theme of a major problem with AI: the lack of a reliable response in all circumstances.13
Final Thoughts
The practical implementations of AI in dermatology are still being explored. Given the uncertainty surrounding the COVID-19 pandemic and the future of patient care, AI might serve as an important asset in assisting with the diagnosis and treatment of dermatologic conditions, physician productivity, and patient monitoring.
- Amisha, Malik P, Pathania M, et al. Overview of artificial intelligence in medicine. J Family Med Prim Care. 2019;8:2328-2331. doi:10.4103/jfmpc.jfmpc_440_19
- Han SS, Kim MS, Lim W, et al. Classification of the clinical images for benign and malignant cutaneous tumors using a deep learning algorithm. J Invest Dermatol. 2018;138:1529-1538. doi:10.1016/j.jid.2018.01.028
- Esteva A, Kuprel B, Novoa RA, et al. Dermatologist-level classification of skin cancer with deep neural networks. Nature. 2017;542:115-118. doi:10.1038/nature21056
- Brinker TJ, Hekler A, Enk AH, et al. Deep neural networks are superior to dermatologists in melanoma image classification. Eur J Cancer. 2019;119:11-17. doi:10.1016/j.ejca.2019.05.023
- Regulated medical device for detecting skin cancer. SkinVision website. Accessed July 23, 2021. https://www.skinvision.com/hcp/
- Thissen M, Udrea A, Hacking M, et al. mHealth app for risk assessment of pigmented and nonpigmented skin lesions—a study on sensitivity and specificity in detecting malignancy. Telemed J E Health. 2017;23:948-954. doi:10.1089/tmj.2016.0259
- Freeman K, Dinnes J, Chuchu N, et al. Algorithm based smartphone apps to assess risk of skin cancer in adults: systematic review of diagnostic accuracy studies. BMJ. 2020;368:m127. doi:10.1136/bmj.m127
- Puri P, Comfere N, Pittelkow MR, et al. COVID-19: an opportunity to build dermatology’s digital future. Dermatol Ther. 2020;33:e14149. doi:10.1111/dth.14149
- Buster KJ, Stevens EI, Elmets CA. Dermatologic health disparities. Dermatol Clin. 2012;30:53-59,viii. doi:10.1016/j.det.2011.08.002
- Adamson AS, Smith A. Machine learning and health care disparities in dermatology. JAMA Dermatol. 2018;154:1247-1248. doi:10.1001/jamadermatol.2018.2348
- Agbai ON, Buster K, Sanchez M, et al. Skin cancer and photoprotection in people of color: a review and recommendations for physicians and the public. J Am Acad Dermatol. 2014;70:748-762. doi:S0190-9622(13)01296-6
- Alabdulkareem A. Artificial intelligence and dermatologists: friends or foes? J Dermatol Dermatolog Surg. 2019;23:57-60. doi:10.4103/jdds.jdds_19_19
- McGreevey JD 3rd, Hanson CW 3rd, Koppel R. Clinical, legal, and ethical aspects of artificial intelligence-assisted conversational agents in health care. JAMA. 2020;324:552-553. doi:10.1001/jama.2020.2724
- Piau A, Crissey R, Brechemier D, et al. A smartphone chatbot application to optimize monitoring of older patients with cancer. Int J Med Inform. 2019;128:18-23. doi:10.1016/j.ijmedinf.2019.05.013
- Lucas GM, Gratch J, King A, et al. It’s only a computer: virtual humans increase willingness to disclose. Comput Human Behav. 2014;37:94-100. https://doi.org/10.1016/j.chb.2014.04.043
- Miner AS, Milstein A, Schueller S, et al. Smartphone-based conversational agents and responses to questions about mental health, interpersonal violence, and physical health. JAMA Intern Med. 2016;176:619-625. doi:10.1001/jamainternmed.2016.0400
- Amisha, Malik P, Pathania M, et al. Overview of artificial intelligence in medicine. J Family Med Prim Care. 2019;8:2328-2331. doi:10.4103/jfmpc.jfmpc_440_19
- Han SS, Kim MS, Lim W, et al. Classification of the clinical images for benign and malignant cutaneous tumors using a deep learning algorithm. J Invest Dermatol. 2018;138:1529-1538. doi:10.1016/j.jid.2018.01.028
- Esteva A, Kuprel B, Novoa RA, et al. Dermatologist-level classification of skin cancer with deep neural networks. Nature. 2017;542:115-118. doi:10.1038/nature21056
- Brinker TJ, Hekler A, Enk AH, et al. Deep neural networks are superior to dermatologists in melanoma image classification. Eur J Cancer. 2019;119:11-17. doi:10.1016/j.ejca.2019.05.023
- Regulated medical device for detecting skin cancer. SkinVision website. Accessed July 23, 2021. https://www.skinvision.com/hcp/
- Thissen M, Udrea A, Hacking M, et al. mHealth app for risk assessment of pigmented and nonpigmented skin lesions—a study on sensitivity and specificity in detecting malignancy. Telemed J E Health. 2017;23:948-954. doi:10.1089/tmj.2016.0259
- Freeman K, Dinnes J, Chuchu N, et al. Algorithm based smartphone apps to assess risk of skin cancer in adults: systematic review of diagnostic accuracy studies. BMJ. 2020;368:m127. doi:10.1136/bmj.m127
- Puri P, Comfere N, Pittelkow MR, et al. COVID-19: an opportunity to build dermatology’s digital future. Dermatol Ther. 2020;33:e14149. doi:10.1111/dth.14149
- Buster KJ, Stevens EI, Elmets CA. Dermatologic health disparities. Dermatol Clin. 2012;30:53-59,viii. doi:10.1016/j.det.2011.08.002
- Adamson AS, Smith A. Machine learning and health care disparities in dermatology. JAMA Dermatol. 2018;154:1247-1248. doi:10.1001/jamadermatol.2018.2348
- Agbai ON, Buster K, Sanchez M, et al. Skin cancer and photoprotection in people of color: a review and recommendations for physicians and the public. J Am Acad Dermatol. 2014;70:748-762. doi:S0190-9622(13)01296-6
- Alabdulkareem A. Artificial intelligence and dermatologists: friends or foes? J Dermatol Dermatolog Surg. 2019;23:57-60. doi:10.4103/jdds.jdds_19_19
- McGreevey JD 3rd, Hanson CW 3rd, Koppel R. Clinical, legal, and ethical aspects of artificial intelligence-assisted conversational agents in health care. JAMA. 2020;324:552-553. doi:10.1001/jama.2020.2724
- Piau A, Crissey R, Brechemier D, et al. A smartphone chatbot application to optimize monitoring of older patients with cancer. Int J Med Inform. 2019;128:18-23. doi:10.1016/j.ijmedinf.2019.05.013
- Lucas GM, Gratch J, King A, et al. It’s only a computer: virtual humans increase willingness to disclose. Comput Human Behav. 2014;37:94-100. https://doi.org/10.1016/j.chb.2014.04.043
- Miner AS, Milstein A, Schueller S, et al. Smartphone-based conversational agents and responses to questions about mental health, interpersonal violence, and physical health. JAMA Intern Med. 2016;176:619-625. doi:10.1001/jamainternmed.2016.0400
Practice Points
- Dermatologists should amass pictures of dermatologic conditions in skin of color to contribute to growing awareness and knowledge of presentation of disease in this population.
- Dermatologists should use artificial intelligence as a tool for delivering more efficient and beneficial patient care.
One in three cancer articles on social media has wrong info
Of the 200 most popular articles (50 each for prostate, lung, breast, and colorectal cancer), about a third (32.5%, n = 65) contained misinformation.
Among these articles containing misinformation, 76.9% (50/65) contained harmful information.
“The Internet is a leading source of health misinformation,” the study authors wrote. This is “particularly true for social media, where false information spreads faster and more broadly than fact-checked information,” they said, citing other research.
“We need to address these issues head on,” said lead author Skyler Johnson, MD, of the University of Utah’s Huntsman Cancer Institute in Salt Lake City.
“As a medical community, we can’t ignore the problem of cancer misinformation on social media or ask our patients to ignore it. We must empathize with our patients and help them when they encounter this type of information,” he said in a statement. “My goal is to help answer their questions, and provide cancer patients with accurate information that will give them the best chance for the best outcome.”
The study was published online July 22 in the Journal of the National Cancer Institute.
The study period ran from 2018 to 2019, and looked at articles posted on social media platforms Facebook, Reddit, Twitter, or Pinterest. Popularity was measured by engagement with readers, such as upvotes, comments, reactions, and shares.
Some of the articles came from long-established news entities such as CBS News, The New York Times, and medical journals, while others came from fleeting crowdfunding web pages and fledging nontraditional news sites.
One example of popular and harmful misinformation highlighted by Dr. Johnson in an interview was titled, “44-Year-Old Mother Claims CBD Oil Cured Her of Breast Cancer within 5 Months.” Posted on truththeory.com in February 2018, the article is tagged as “opinion” by the publisher and in turn links to another news story about the same woman in the UK’s Daily Mail newspaper.
The ideas and claims in such articles can be very influential, Jennifer L. Lycette, MD, suggested in a recent blog post.
“After 18 years as a cancer doctor, it sadly doesn’t come as a surprise anymore when a patient declines treatment recommendations and instead opts for ‘alternative’ treatment,” she wrote.
Sometimes, misinformation is not sensational but is still effective via clever wording and presentation, observed Brian G. Southwell, PhD, of Duke University, Durham, N.C., who has studied patients and misinformation.
“It isn’t the falsehood that is somehow magically attractive, per se, but the way that misinformation is often framed that can make it attractive,” he said in an interview.
Dr. Southwell recommends that clinicians be proactive about medical misinformation.
“Rather than expect patients to raise concerns without prompting, health care providers should invite conversations about potential misinformation with their patients,” he wrote in a recent essay in the American Journal of Public Health.
In short, ask patients what they know about the treatment of their cancer, he suggests.
“Patients don’t typically know that the misinformation they are encountering is misinformation,” said Dr. Southwell. “Approaching patients with compassion and empathy is a good first step.”
Study details
For the study, reported by Johnson et al., two National Comprehensive Cancer Network panel members were selected as content experts for each of the four cancers and were tasked with reviewing the primary medical claims in each article. The experts then completed a set of ratings to arrive at the proportion of misinformation and potential for harm in each article.
Of the 200 articles, 41.5% were from nontraditional news (digital only), 37.5% were from traditional news sources (online versions of print and/or broadcast media), 17% were from medical journals, 3% were from a crowdfunding site, and 1% were from personal blogs.
This expert review concluded that nearly one-third of the articles contained misinformation, as noted above. The misinformation was described as misleading (title not supported by text or statistics/data do not support conclusion, 28.8%), strength of the evidence mischaracterized (weak evidence portrayed as strong or vice versa, 27.7%) and unproven therapies (not studied or insufficient evidence, 26.7%).
Notably, the median number of engagements, such as likes on Twitter, for articles with misinformation was greater than that of factual articles (median, 2,300 vs. 1,600; P = .05).
In total, 30.5% of all 200 articles contained harmful information. This was described as harmful inaction (could lead to delay or not seeking medical attention for treatable/curable condition, 31.0%), economic harm (out-of-pocket financial costs associated with treatment/travel, 27.7%), harmful action (potentially toxic effects of the suggested test/treatment, 17.0%), and harmful interactions (known/unknown medical interactions with curative therapies, 16.2%).
The median number of engagements for articles with harmful information was statistically significantly greater than that of articles with correct information (median, 2,300 vs. 1,500; P = .007).
A limitation of the study is that it included only the most popular English language cancer articles.
This study was funded in part by the Huntsman Cancer Institute. Dr. Johnson, Dr. Lycette, and Dr. Southwell have disclosed no relevant financial relationships. Some study authors have ties to the pharmaceutical industry.
A version of this article first appeared on Medscape.com.
Of the 200 most popular articles (50 each for prostate, lung, breast, and colorectal cancer), about a third (32.5%, n = 65) contained misinformation.
Among these articles containing misinformation, 76.9% (50/65) contained harmful information.
“The Internet is a leading source of health misinformation,” the study authors wrote. This is “particularly true for social media, where false information spreads faster and more broadly than fact-checked information,” they said, citing other research.
“We need to address these issues head on,” said lead author Skyler Johnson, MD, of the University of Utah’s Huntsman Cancer Institute in Salt Lake City.
“As a medical community, we can’t ignore the problem of cancer misinformation on social media or ask our patients to ignore it. We must empathize with our patients and help them when they encounter this type of information,” he said in a statement. “My goal is to help answer their questions, and provide cancer patients with accurate information that will give them the best chance for the best outcome.”
The study was published online July 22 in the Journal of the National Cancer Institute.
The study period ran from 2018 to 2019, and looked at articles posted on social media platforms Facebook, Reddit, Twitter, or Pinterest. Popularity was measured by engagement with readers, such as upvotes, comments, reactions, and shares.
Some of the articles came from long-established news entities such as CBS News, The New York Times, and medical journals, while others came from fleeting crowdfunding web pages and fledging nontraditional news sites.
One example of popular and harmful misinformation highlighted by Dr. Johnson in an interview was titled, “44-Year-Old Mother Claims CBD Oil Cured Her of Breast Cancer within 5 Months.” Posted on truththeory.com in February 2018, the article is tagged as “opinion” by the publisher and in turn links to another news story about the same woman in the UK’s Daily Mail newspaper.
The ideas and claims in such articles can be very influential, Jennifer L. Lycette, MD, suggested in a recent blog post.
“After 18 years as a cancer doctor, it sadly doesn’t come as a surprise anymore when a patient declines treatment recommendations and instead opts for ‘alternative’ treatment,” she wrote.
Sometimes, misinformation is not sensational but is still effective via clever wording and presentation, observed Brian G. Southwell, PhD, of Duke University, Durham, N.C., who has studied patients and misinformation.
“It isn’t the falsehood that is somehow magically attractive, per se, but the way that misinformation is often framed that can make it attractive,” he said in an interview.
Dr. Southwell recommends that clinicians be proactive about medical misinformation.
“Rather than expect patients to raise concerns without prompting, health care providers should invite conversations about potential misinformation with their patients,” he wrote in a recent essay in the American Journal of Public Health.
In short, ask patients what they know about the treatment of their cancer, he suggests.
“Patients don’t typically know that the misinformation they are encountering is misinformation,” said Dr. Southwell. “Approaching patients with compassion and empathy is a good first step.”
Study details
For the study, reported by Johnson et al., two National Comprehensive Cancer Network panel members were selected as content experts for each of the four cancers and were tasked with reviewing the primary medical claims in each article. The experts then completed a set of ratings to arrive at the proportion of misinformation and potential for harm in each article.
Of the 200 articles, 41.5% were from nontraditional news (digital only), 37.5% were from traditional news sources (online versions of print and/or broadcast media), 17% were from medical journals, 3% were from a crowdfunding site, and 1% were from personal blogs.
This expert review concluded that nearly one-third of the articles contained misinformation, as noted above. The misinformation was described as misleading (title not supported by text or statistics/data do not support conclusion, 28.8%), strength of the evidence mischaracterized (weak evidence portrayed as strong or vice versa, 27.7%) and unproven therapies (not studied or insufficient evidence, 26.7%).
Notably, the median number of engagements, such as likes on Twitter, for articles with misinformation was greater than that of factual articles (median, 2,300 vs. 1,600; P = .05).
In total, 30.5% of all 200 articles contained harmful information. This was described as harmful inaction (could lead to delay or not seeking medical attention for treatable/curable condition, 31.0%), economic harm (out-of-pocket financial costs associated with treatment/travel, 27.7%), harmful action (potentially toxic effects of the suggested test/treatment, 17.0%), and harmful interactions (known/unknown medical interactions with curative therapies, 16.2%).
The median number of engagements for articles with harmful information was statistically significantly greater than that of articles with correct information (median, 2,300 vs. 1,500; P = .007).
A limitation of the study is that it included only the most popular English language cancer articles.
This study was funded in part by the Huntsman Cancer Institute. Dr. Johnson, Dr. Lycette, and Dr. Southwell have disclosed no relevant financial relationships. Some study authors have ties to the pharmaceutical industry.
A version of this article first appeared on Medscape.com.
Of the 200 most popular articles (50 each for prostate, lung, breast, and colorectal cancer), about a third (32.5%, n = 65) contained misinformation.
Among these articles containing misinformation, 76.9% (50/65) contained harmful information.
“The Internet is a leading source of health misinformation,” the study authors wrote. This is “particularly true for social media, where false information spreads faster and more broadly than fact-checked information,” they said, citing other research.
“We need to address these issues head on,” said lead author Skyler Johnson, MD, of the University of Utah’s Huntsman Cancer Institute in Salt Lake City.
“As a medical community, we can’t ignore the problem of cancer misinformation on social media or ask our patients to ignore it. We must empathize with our patients and help them when they encounter this type of information,” he said in a statement. “My goal is to help answer their questions, and provide cancer patients with accurate information that will give them the best chance for the best outcome.”
The study was published online July 22 in the Journal of the National Cancer Institute.
The study period ran from 2018 to 2019, and looked at articles posted on social media platforms Facebook, Reddit, Twitter, or Pinterest. Popularity was measured by engagement with readers, such as upvotes, comments, reactions, and shares.
Some of the articles came from long-established news entities such as CBS News, The New York Times, and medical journals, while others came from fleeting crowdfunding web pages and fledging nontraditional news sites.
One example of popular and harmful misinformation highlighted by Dr. Johnson in an interview was titled, “44-Year-Old Mother Claims CBD Oil Cured Her of Breast Cancer within 5 Months.” Posted on truththeory.com in February 2018, the article is tagged as “opinion” by the publisher and in turn links to another news story about the same woman in the UK’s Daily Mail newspaper.
The ideas and claims in such articles can be very influential, Jennifer L. Lycette, MD, suggested in a recent blog post.
“After 18 years as a cancer doctor, it sadly doesn’t come as a surprise anymore when a patient declines treatment recommendations and instead opts for ‘alternative’ treatment,” she wrote.
Sometimes, misinformation is not sensational but is still effective via clever wording and presentation, observed Brian G. Southwell, PhD, of Duke University, Durham, N.C., who has studied patients and misinformation.
“It isn’t the falsehood that is somehow magically attractive, per se, but the way that misinformation is often framed that can make it attractive,” he said in an interview.
Dr. Southwell recommends that clinicians be proactive about medical misinformation.
“Rather than expect patients to raise concerns without prompting, health care providers should invite conversations about potential misinformation with their patients,” he wrote in a recent essay in the American Journal of Public Health.
In short, ask patients what they know about the treatment of their cancer, he suggests.
“Patients don’t typically know that the misinformation they are encountering is misinformation,” said Dr. Southwell. “Approaching patients with compassion and empathy is a good first step.”
Study details
For the study, reported by Johnson et al., two National Comprehensive Cancer Network panel members were selected as content experts for each of the four cancers and were tasked with reviewing the primary medical claims in each article. The experts then completed a set of ratings to arrive at the proportion of misinformation and potential for harm in each article.
Of the 200 articles, 41.5% were from nontraditional news (digital only), 37.5% were from traditional news sources (online versions of print and/or broadcast media), 17% were from medical journals, 3% were from a crowdfunding site, and 1% were from personal blogs.
This expert review concluded that nearly one-third of the articles contained misinformation, as noted above. The misinformation was described as misleading (title not supported by text or statistics/data do not support conclusion, 28.8%), strength of the evidence mischaracterized (weak evidence portrayed as strong or vice versa, 27.7%) and unproven therapies (not studied or insufficient evidence, 26.7%).
Notably, the median number of engagements, such as likes on Twitter, for articles with misinformation was greater than that of factual articles (median, 2,300 vs. 1,600; P = .05).
In total, 30.5% of all 200 articles contained harmful information. This was described as harmful inaction (could lead to delay or not seeking medical attention for treatable/curable condition, 31.0%), economic harm (out-of-pocket financial costs associated with treatment/travel, 27.7%), harmful action (potentially toxic effects of the suggested test/treatment, 17.0%), and harmful interactions (known/unknown medical interactions with curative therapies, 16.2%).
The median number of engagements for articles with harmful information was statistically significantly greater than that of articles with correct information (median, 2,300 vs. 1,500; P = .007).
A limitation of the study is that it included only the most popular English language cancer articles.
This study was funded in part by the Huntsman Cancer Institute. Dr. Johnson, Dr. Lycette, and Dr. Southwell have disclosed no relevant financial relationships. Some study authors have ties to the pharmaceutical industry.
A version of this article first appeared on Medscape.com.
Stop using Neutrogena and Aveeno spray sunscreen, J&J warns
Benzene is not an ingredient of sunscreen, and should not be present in these products. The levels detected were low and would not be expected to have an adverse effect on health, but the company says it is recalling the products anyway “out of an abundance of caution.”
The sunscreen products that have been recalled are:
- NEUTROGENA® Beach Defense® aerosol sunscreen.
- NEUTROGENA® Cool Dry Sport aerosol sunscreen.
- NEUTROGENA® Invisible Daily™ defense aerosol sunscreen.
- NEUTROGENA® Ultra Sheer® aerosol sunscreen.
- AVEENO® Protect + Refresh aerosol sunscreen.
These products were distributed nationwide through a variety of retail stores. Consumers should stop using these products and throw them away, the company said.
At the same time, it emphasized the importance of using alternative sunscreen products to protect the skin from excessive sun exposure, which can lead to skin cancer including melanoma.
Johnson & Johnson has launched an investigation into how benzene got into these products.
One of the company’s other spray sunscreen products, Neutrogena Wet Skin, was not included in the recall.
Recently, benzene was found in 78 widely-used sunscreen products in tests conducted by the online pharmacy and laboratory Valisure. Most of the products were aerosol sprays, and the company called on the Food and Drug Administration to recall them all.
That petition suggested that the finding of benzene was the result of contamination somewhere in the manufacturing process.
“This isn’t a sunscreen issue, it’s a manufacturing issue,” said Adam Friedman, MD, professor and chief of dermatology at George Washington University. “We don’t want those things to be blurred.”
There is a risk that people take away the wrong message from these findings.
“People already have ambivalence about sunscreen, and this is just going to make that worse,” Dr. Friedman said in an interview.
He pointed out that benzene is present in car exhaust, second-hand smoke, and elsewhere. Inhalation exposure has been the primary focus of toxicology investigations, as has exposure from things such as contaminated drinking water – not via topical application. “We don’t know how effectively [benzene] gets through the skin, if it gets absorbed systemically, and how that then behaves downstream,” he noted.
On the other hand, ultraviolet radiation is a well-established carcinogen. Avoiding an effective preventive measure such as sunscreen could prove more harmful than exposure to trace amounts of benzene, he said.
A version of this article first appeared on WebMD.com.
Benzene is not an ingredient of sunscreen, and should not be present in these products. The levels detected were low and would not be expected to have an adverse effect on health, but the company says it is recalling the products anyway “out of an abundance of caution.”
The sunscreen products that have been recalled are:
- NEUTROGENA® Beach Defense® aerosol sunscreen.
- NEUTROGENA® Cool Dry Sport aerosol sunscreen.
- NEUTROGENA® Invisible Daily™ defense aerosol sunscreen.
- NEUTROGENA® Ultra Sheer® aerosol sunscreen.
- AVEENO® Protect + Refresh aerosol sunscreen.
These products were distributed nationwide through a variety of retail stores. Consumers should stop using these products and throw them away, the company said.
At the same time, it emphasized the importance of using alternative sunscreen products to protect the skin from excessive sun exposure, which can lead to skin cancer including melanoma.
Johnson & Johnson has launched an investigation into how benzene got into these products.
One of the company’s other spray sunscreen products, Neutrogena Wet Skin, was not included in the recall.
Recently, benzene was found in 78 widely-used sunscreen products in tests conducted by the online pharmacy and laboratory Valisure. Most of the products were aerosol sprays, and the company called on the Food and Drug Administration to recall them all.
That petition suggested that the finding of benzene was the result of contamination somewhere in the manufacturing process.
“This isn’t a sunscreen issue, it’s a manufacturing issue,” said Adam Friedman, MD, professor and chief of dermatology at George Washington University. “We don’t want those things to be blurred.”
There is a risk that people take away the wrong message from these findings.
“People already have ambivalence about sunscreen, and this is just going to make that worse,” Dr. Friedman said in an interview.
He pointed out that benzene is present in car exhaust, second-hand smoke, and elsewhere. Inhalation exposure has been the primary focus of toxicology investigations, as has exposure from things such as contaminated drinking water – not via topical application. “We don’t know how effectively [benzene] gets through the skin, if it gets absorbed systemically, and how that then behaves downstream,” he noted.
On the other hand, ultraviolet radiation is a well-established carcinogen. Avoiding an effective preventive measure such as sunscreen could prove more harmful than exposure to trace amounts of benzene, he said.
A version of this article first appeared on WebMD.com.
Benzene is not an ingredient of sunscreen, and should not be present in these products. The levels detected were low and would not be expected to have an adverse effect on health, but the company says it is recalling the products anyway “out of an abundance of caution.”
The sunscreen products that have been recalled are:
- NEUTROGENA® Beach Defense® aerosol sunscreen.
- NEUTROGENA® Cool Dry Sport aerosol sunscreen.
- NEUTROGENA® Invisible Daily™ defense aerosol sunscreen.
- NEUTROGENA® Ultra Sheer® aerosol sunscreen.
- AVEENO® Protect + Refresh aerosol sunscreen.
These products were distributed nationwide through a variety of retail stores. Consumers should stop using these products and throw them away, the company said.
At the same time, it emphasized the importance of using alternative sunscreen products to protect the skin from excessive sun exposure, which can lead to skin cancer including melanoma.
Johnson & Johnson has launched an investigation into how benzene got into these products.
One of the company’s other spray sunscreen products, Neutrogena Wet Skin, was not included in the recall.
Recently, benzene was found in 78 widely-used sunscreen products in tests conducted by the online pharmacy and laboratory Valisure. Most of the products were aerosol sprays, and the company called on the Food and Drug Administration to recall them all.
That petition suggested that the finding of benzene was the result of contamination somewhere in the manufacturing process.
“This isn’t a sunscreen issue, it’s a manufacturing issue,” said Adam Friedman, MD, professor and chief of dermatology at George Washington University. “We don’t want those things to be blurred.”
There is a risk that people take away the wrong message from these findings.
“People already have ambivalence about sunscreen, and this is just going to make that worse,” Dr. Friedman said in an interview.
He pointed out that benzene is present in car exhaust, second-hand smoke, and elsewhere. Inhalation exposure has been the primary focus of toxicology investigations, as has exposure from things such as contaminated drinking water – not via topical application. “We don’t know how effectively [benzene] gets through the skin, if it gets absorbed systemically, and how that then behaves downstream,” he noted.
On the other hand, ultraviolet radiation is a well-established carcinogen. Avoiding an effective preventive measure such as sunscreen could prove more harmful than exposure to trace amounts of benzene, he said.
A version of this article first appeared on WebMD.com.
Metformin use may curb BCC risk
in Iceland.
“In addition to general anticarcinogenic effects, metformin has also been shown to directly inhibit the sonic hedgehog pathway, a key pathway in basal cell carcinoma (BCC) pathogenesis,” Jonas A. Adalsteinsson, MD, of the University of Iceland, Reykjavik, and colleagues wrote. “The relationship between metformin and keratinocyte carcinoma has not been well-characterized but is of importance considering that metformin is a commonly prescribed medication.”
They added that the hedgehog pathway inhibitors vismodegib (Erivedge) and sonidegib (Odomzo), approved for treating BCC, “are highly effective for BCC prevention, but their broad use for BCC prophylaxis is limited due to numerous side effects.”
In the study, published in the Journal of the American Academy of Dermatology, the researchers identified 6,880 first-time cancer patients with BCC, squamous cell carcinoma in situ (SCCis), or invasive SCC, and 69,620 population controls using data from the Icelandic Cancer Registry and the Icelandic Prescription Medicine Register between 2003 and 2017. Metformin exposure was defined as having filled at least one prescription of metformin more than 2 years prior to cancer diagnosis. They used grams and daily dose units of metformin in their analysis; one DDU of metformin, “or its average daily maintenance dose when used for its primary indication, is 2 grams,” they noted.
Overall, metformin use was associated with a significantly lower risk of developing BCC, compared with nonuse (adjusted odds ratio, 0.71; 95% confidence interval, 0.61-0.83).
The reduced risk occurred similarly across age and gender subgroups, with the exception of individuals younger than 60 years, the researchers said. “This might signify that metformin has less of a protective effect in younger individuals, but we might also have lacked power in this category.” The association with reduced BCC risk remained significant at all three cumulative dose levels measured: 1-500 DDUs, 501-1,500 DDUs, and more than 1,500 DDUs.
Metformin use was not significantly associated with reduced risk of invasive SCC (aOR, 1.01) and in most cases of SCCis. However, the 501-1,500 DDU dose category was associated with a slight increase in risk of SCCis (aOR, 1.40; 95% CI, 1.00-1.96), “showing a possible increased risk of SCCis,” the authors wrote.
The decrease in BCC risk was seen across all metformin dosing levels, but the reason for this remains unclear, and might be related to a confounding factor that was not considered in this study, the researchers said. “It could also be that metformin’s BCC risk-lowering effect is immediate, with only a low dose being needed to see a clinical benefit.”
The study findings were limited by several factors, including the retrospective design and the inability to adjust for factors including ultraviolet exposure, Fitzpatrick skin type, and comorbidities. The frequent use of metformin by people with type 2 diabetes suggests diabetes itself or other diabetes medications could be possible confounding factors, the researchers wrote.
However, the results were strengthened by the large study population, and the data suggest an association between reduced risk of first-time BCC and metformin use, they added.
“Randomized, prospective trials are required to fully understand the effect metformin has on BCC and SCC risk,” the researchers concluded.
“There is a dire need to reduce incidence of skin cancers in general, and consequently a need for new non-surgical treatment options for keratinocytic nonmelanoma skin cancers,” Amor Khachemoune, MD, a dermatologist at the State University of New York, Brooklyn, and the department of dermatology of the Veteran Affairs NY Harbor Healthcare System, also in Brooklyn, said in an interview.
Dr. Khachemoune, who was not involved with the study, said that he was not surprised by the findings. “Like other well-studied sonic hedgehog inhibitors, vismodegib and sonidegib, metformin has a demonstrated effect on this pathway. The medical community outside of dermatology has extensive experience with the use of metformin for a host of other indications, including its role as anticarcinogenic, so it seemed natural that one would consider widening its use to quell the ever-expanding cases of basal cell carcinomas.”
However, complications from long-term use, though likely rare, could be a limitation in using metformin as a chemoprotective agent, Dr. Khachemoune said. Metformin-associated lactic acidosis is one example of a rare, but potentially life-threatening adverse event.
“Finding the right dosage and having an algorithm for follow up monitoring of side effects would certainly need to be put in place in a standardized way,” he emphasized. “As stated by the authors of this study, more inclusive research involving other groups with nonkeratinocytic malignancies in larger cohorts is needed.”
The study received no outside funding. The researchers and Dr. Khachemoune had no financial conflicts to disclose.
in Iceland.
“In addition to general anticarcinogenic effects, metformin has also been shown to directly inhibit the sonic hedgehog pathway, a key pathway in basal cell carcinoma (BCC) pathogenesis,” Jonas A. Adalsteinsson, MD, of the University of Iceland, Reykjavik, and colleagues wrote. “The relationship between metformin and keratinocyte carcinoma has not been well-characterized but is of importance considering that metformin is a commonly prescribed medication.”
They added that the hedgehog pathway inhibitors vismodegib (Erivedge) and sonidegib (Odomzo), approved for treating BCC, “are highly effective for BCC prevention, but their broad use for BCC prophylaxis is limited due to numerous side effects.”
In the study, published in the Journal of the American Academy of Dermatology, the researchers identified 6,880 first-time cancer patients with BCC, squamous cell carcinoma in situ (SCCis), or invasive SCC, and 69,620 population controls using data from the Icelandic Cancer Registry and the Icelandic Prescription Medicine Register between 2003 and 2017. Metformin exposure was defined as having filled at least one prescription of metformin more than 2 years prior to cancer diagnosis. They used grams and daily dose units of metformin in their analysis; one DDU of metformin, “or its average daily maintenance dose when used for its primary indication, is 2 grams,” they noted.
Overall, metformin use was associated with a significantly lower risk of developing BCC, compared with nonuse (adjusted odds ratio, 0.71; 95% confidence interval, 0.61-0.83).
The reduced risk occurred similarly across age and gender subgroups, with the exception of individuals younger than 60 years, the researchers said. “This might signify that metformin has less of a protective effect in younger individuals, but we might also have lacked power in this category.” The association with reduced BCC risk remained significant at all three cumulative dose levels measured: 1-500 DDUs, 501-1,500 DDUs, and more than 1,500 DDUs.
Metformin use was not significantly associated with reduced risk of invasive SCC (aOR, 1.01) and in most cases of SCCis. However, the 501-1,500 DDU dose category was associated with a slight increase in risk of SCCis (aOR, 1.40; 95% CI, 1.00-1.96), “showing a possible increased risk of SCCis,” the authors wrote.
The decrease in BCC risk was seen across all metformin dosing levels, but the reason for this remains unclear, and might be related to a confounding factor that was not considered in this study, the researchers said. “It could also be that metformin’s BCC risk-lowering effect is immediate, with only a low dose being needed to see a clinical benefit.”
The study findings were limited by several factors, including the retrospective design and the inability to adjust for factors including ultraviolet exposure, Fitzpatrick skin type, and comorbidities. The frequent use of metformin by people with type 2 diabetes suggests diabetes itself or other diabetes medications could be possible confounding factors, the researchers wrote.
However, the results were strengthened by the large study population, and the data suggest an association between reduced risk of first-time BCC and metformin use, they added.
“Randomized, prospective trials are required to fully understand the effect metformin has on BCC and SCC risk,” the researchers concluded.
“There is a dire need to reduce incidence of skin cancers in general, and consequently a need for new non-surgical treatment options for keratinocytic nonmelanoma skin cancers,” Amor Khachemoune, MD, a dermatologist at the State University of New York, Brooklyn, and the department of dermatology of the Veteran Affairs NY Harbor Healthcare System, also in Brooklyn, said in an interview.
Dr. Khachemoune, who was not involved with the study, said that he was not surprised by the findings. “Like other well-studied sonic hedgehog inhibitors, vismodegib and sonidegib, metformin has a demonstrated effect on this pathway. The medical community outside of dermatology has extensive experience with the use of metformin for a host of other indications, including its role as anticarcinogenic, so it seemed natural that one would consider widening its use to quell the ever-expanding cases of basal cell carcinomas.”
However, complications from long-term use, though likely rare, could be a limitation in using metformin as a chemoprotective agent, Dr. Khachemoune said. Metformin-associated lactic acidosis is one example of a rare, but potentially life-threatening adverse event.
“Finding the right dosage and having an algorithm for follow up monitoring of side effects would certainly need to be put in place in a standardized way,” he emphasized. “As stated by the authors of this study, more inclusive research involving other groups with nonkeratinocytic malignancies in larger cohorts is needed.”
The study received no outside funding. The researchers and Dr. Khachemoune had no financial conflicts to disclose.
in Iceland.
“In addition to general anticarcinogenic effects, metformin has also been shown to directly inhibit the sonic hedgehog pathway, a key pathway in basal cell carcinoma (BCC) pathogenesis,” Jonas A. Adalsteinsson, MD, of the University of Iceland, Reykjavik, and colleagues wrote. “The relationship between metformin and keratinocyte carcinoma has not been well-characterized but is of importance considering that metformin is a commonly prescribed medication.”
They added that the hedgehog pathway inhibitors vismodegib (Erivedge) and sonidegib (Odomzo), approved for treating BCC, “are highly effective for BCC prevention, but their broad use for BCC prophylaxis is limited due to numerous side effects.”
In the study, published in the Journal of the American Academy of Dermatology, the researchers identified 6,880 first-time cancer patients with BCC, squamous cell carcinoma in situ (SCCis), or invasive SCC, and 69,620 population controls using data from the Icelandic Cancer Registry and the Icelandic Prescription Medicine Register between 2003 and 2017. Metformin exposure was defined as having filled at least one prescription of metformin more than 2 years prior to cancer diagnosis. They used grams and daily dose units of metformin in their analysis; one DDU of metformin, “or its average daily maintenance dose when used for its primary indication, is 2 grams,” they noted.
Overall, metformin use was associated with a significantly lower risk of developing BCC, compared with nonuse (adjusted odds ratio, 0.71; 95% confidence interval, 0.61-0.83).
The reduced risk occurred similarly across age and gender subgroups, with the exception of individuals younger than 60 years, the researchers said. “This might signify that metformin has less of a protective effect in younger individuals, but we might also have lacked power in this category.” The association with reduced BCC risk remained significant at all three cumulative dose levels measured: 1-500 DDUs, 501-1,500 DDUs, and more than 1,500 DDUs.
Metformin use was not significantly associated with reduced risk of invasive SCC (aOR, 1.01) and in most cases of SCCis. However, the 501-1,500 DDU dose category was associated with a slight increase in risk of SCCis (aOR, 1.40; 95% CI, 1.00-1.96), “showing a possible increased risk of SCCis,” the authors wrote.
The decrease in BCC risk was seen across all metformin dosing levels, but the reason for this remains unclear, and might be related to a confounding factor that was not considered in this study, the researchers said. “It could also be that metformin’s BCC risk-lowering effect is immediate, with only a low dose being needed to see a clinical benefit.”
The study findings were limited by several factors, including the retrospective design and the inability to adjust for factors including ultraviolet exposure, Fitzpatrick skin type, and comorbidities. The frequent use of metformin by people with type 2 diabetes suggests diabetes itself or other diabetes medications could be possible confounding factors, the researchers wrote.
However, the results were strengthened by the large study population, and the data suggest an association between reduced risk of first-time BCC and metformin use, they added.
“Randomized, prospective trials are required to fully understand the effect metformin has on BCC and SCC risk,” the researchers concluded.
“There is a dire need to reduce incidence of skin cancers in general, and consequently a need for new non-surgical treatment options for keratinocytic nonmelanoma skin cancers,” Amor Khachemoune, MD, a dermatologist at the State University of New York, Brooklyn, and the department of dermatology of the Veteran Affairs NY Harbor Healthcare System, also in Brooklyn, said in an interview.
Dr. Khachemoune, who was not involved with the study, said that he was not surprised by the findings. “Like other well-studied sonic hedgehog inhibitors, vismodegib and sonidegib, metformin has a demonstrated effect on this pathway. The medical community outside of dermatology has extensive experience with the use of metformin for a host of other indications, including its role as anticarcinogenic, so it seemed natural that one would consider widening its use to quell the ever-expanding cases of basal cell carcinomas.”
However, complications from long-term use, though likely rare, could be a limitation in using metformin as a chemoprotective agent, Dr. Khachemoune said. Metformin-associated lactic acidosis is one example of a rare, but potentially life-threatening adverse event.
“Finding the right dosage and having an algorithm for follow up monitoring of side effects would certainly need to be put in place in a standardized way,” he emphasized. “As stated by the authors of this study, more inclusive research involving other groups with nonkeratinocytic malignancies in larger cohorts is needed.”
The study received no outside funding. The researchers and Dr. Khachemoune had no financial conflicts to disclose.
FROM THE JOURNAL OF THE AMERICAN ACADEMY OF DERMATOLOGY
Latest FDA pembrolizumab approval expands label to cutaneous SCCs
The
The July 6 approval for the programmed death–1 inhibitor follows a June FDA approval for pembrolizumab monotherapy in patients with recurrent or metastatic cSCC disease not curable by surgery or radiation. Both approvals, pembrolizumab’s first for cSCC, are based on findings from the second interim analysis of the phase 2, multicenter, open-label KEYNOTE-629 trial.
The objective response rate in the cohort of 54 patients with locally advanced disease was 50%, including a complete response rate of 17% and a partial response rate of 33%. Duration of response was 6 months or longer in 81% of the 27 responders, and 12 months or longer in 37% of responders. After a median follow-up of 13.4 months, median duration of response had not yet been reached.
Pembrolizumab has previously received FDA approvals, either as monotherapy or in combination with other agents, for the treatment of numerous cancer types, including certain melanomas, non–small cell lung cancers, head and neck SCCs, classical Hodgkin lymphomas, primary mediastinal large B-cell lymphomas, urothelial carcinomas, microsatellite instability–high or mismatch repair–deficient cancers, and gastric, esophageal, cervical, hepatocellular, Merkel cell, renal cell, tumor mutational burden–high, and triple-negative breast cancers.
Patients in the KEYNOTE-629 trial received pembrolizumab at a dose of 200 mg IV every 3 weeks for 24 months or until documented disease progression or unacceptable toxicity.
Adverse reactions occurring in patients with recurrent or metastatic cSCC or locally advanced cSCC in KEYNOTE-629 were similar to those observed in patients with melanoma or non–small cell lung cancer who were treated with pembrolizumab monotherapy in previous trials.
The checkpoint inhibitor can cause immune-mediated adverse reactions, which may be severe or fatal, according to Merck, the drug’s manufacturer. The reactions can occur in any organ system or tissue and can affect more than one body system simultaneously.
“Immune-mediated adverse reactions can occur at any time during or after treatment with Keytruda, including pneumonitis, colitis, hepatitis, endocrinopathies, nephritis, dermatologic reactions, solid organ transplant rejection, and complications of allogeneic hematopoietic stem cell transplantation,” Merck explained in a press release, noting that “early identification and management of immune-mediated adverse reactions are essential to ensure safe use of Keytruda.”
Depending on the severity of any reaction, treatment should be withheld or permanently discontinued, and corticosteroids administered if appropriate, Merck stated.
The
The July 6 approval for the programmed death–1 inhibitor follows a June FDA approval for pembrolizumab monotherapy in patients with recurrent or metastatic cSCC disease not curable by surgery or radiation. Both approvals, pembrolizumab’s first for cSCC, are based on findings from the second interim analysis of the phase 2, multicenter, open-label KEYNOTE-629 trial.
The objective response rate in the cohort of 54 patients with locally advanced disease was 50%, including a complete response rate of 17% and a partial response rate of 33%. Duration of response was 6 months or longer in 81% of the 27 responders, and 12 months or longer in 37% of responders. After a median follow-up of 13.4 months, median duration of response had not yet been reached.
Pembrolizumab has previously received FDA approvals, either as monotherapy or in combination with other agents, for the treatment of numerous cancer types, including certain melanomas, non–small cell lung cancers, head and neck SCCs, classical Hodgkin lymphomas, primary mediastinal large B-cell lymphomas, urothelial carcinomas, microsatellite instability–high or mismatch repair–deficient cancers, and gastric, esophageal, cervical, hepatocellular, Merkel cell, renal cell, tumor mutational burden–high, and triple-negative breast cancers.
Patients in the KEYNOTE-629 trial received pembrolizumab at a dose of 200 mg IV every 3 weeks for 24 months or until documented disease progression or unacceptable toxicity.
Adverse reactions occurring in patients with recurrent or metastatic cSCC or locally advanced cSCC in KEYNOTE-629 were similar to those observed in patients with melanoma or non–small cell lung cancer who were treated with pembrolizumab monotherapy in previous trials.
The checkpoint inhibitor can cause immune-mediated adverse reactions, which may be severe or fatal, according to Merck, the drug’s manufacturer. The reactions can occur in any organ system or tissue and can affect more than one body system simultaneously.
“Immune-mediated adverse reactions can occur at any time during or after treatment with Keytruda, including pneumonitis, colitis, hepatitis, endocrinopathies, nephritis, dermatologic reactions, solid organ transplant rejection, and complications of allogeneic hematopoietic stem cell transplantation,” Merck explained in a press release, noting that “early identification and management of immune-mediated adverse reactions are essential to ensure safe use of Keytruda.”
Depending on the severity of any reaction, treatment should be withheld or permanently discontinued, and corticosteroids administered if appropriate, Merck stated.
The
The July 6 approval for the programmed death–1 inhibitor follows a June FDA approval for pembrolizumab monotherapy in patients with recurrent or metastatic cSCC disease not curable by surgery or radiation. Both approvals, pembrolizumab’s first for cSCC, are based on findings from the second interim analysis of the phase 2, multicenter, open-label KEYNOTE-629 trial.
The objective response rate in the cohort of 54 patients with locally advanced disease was 50%, including a complete response rate of 17% and a partial response rate of 33%. Duration of response was 6 months or longer in 81% of the 27 responders, and 12 months or longer in 37% of responders. After a median follow-up of 13.4 months, median duration of response had not yet been reached.
Pembrolizumab has previously received FDA approvals, either as monotherapy or in combination with other agents, for the treatment of numerous cancer types, including certain melanomas, non–small cell lung cancers, head and neck SCCs, classical Hodgkin lymphomas, primary mediastinal large B-cell lymphomas, urothelial carcinomas, microsatellite instability–high or mismatch repair–deficient cancers, and gastric, esophageal, cervical, hepatocellular, Merkel cell, renal cell, tumor mutational burden–high, and triple-negative breast cancers.
Patients in the KEYNOTE-629 trial received pembrolizumab at a dose of 200 mg IV every 3 weeks for 24 months or until documented disease progression or unacceptable toxicity.
Adverse reactions occurring in patients with recurrent or metastatic cSCC or locally advanced cSCC in KEYNOTE-629 were similar to those observed in patients with melanoma or non–small cell lung cancer who were treated with pembrolizumab monotherapy in previous trials.
The checkpoint inhibitor can cause immune-mediated adverse reactions, which may be severe or fatal, according to Merck, the drug’s manufacturer. The reactions can occur in any organ system or tissue and can affect more than one body system simultaneously.
“Immune-mediated adverse reactions can occur at any time during or after treatment with Keytruda, including pneumonitis, colitis, hepatitis, endocrinopathies, nephritis, dermatologic reactions, solid organ transplant rejection, and complications of allogeneic hematopoietic stem cell transplantation,” Merck explained in a press release, noting that “early identification and management of immune-mediated adverse reactions are essential to ensure safe use of Keytruda.”
Depending on the severity of any reaction, treatment should be withheld or permanently discontinued, and corticosteroids administered if appropriate, Merck stated.
Etanercept-Induced Squamous Proliferations in a Patient With Porokeratosis
To the Editor:
Etanercept is an immune-modulating drug used for the treatment of a variety of diseases including psoriasis, rheumatoid arthritis, and ankylosing spondylitis. It is an anti–tumor necrosis factor (TNF) fusion protein consisting of an extracellular domain of the p75 TNF receptor and the Fc portion of human IgG.1 Etanercept is well known for its immunosuppressive side effects. A handful of case reports have provided evidence of squamous cell cancers in the setting of etanercept therapy. The most comprehensive description was a case series by Brewer et al2 describing 4 patients with squamous cell carcinoma (SCC) that developed 1 to 17 months after the initiation of etanercept therapy. We present a case of a patient diagnosed with psoriasis and concomitant porokeratosis who developed multiple SCCs and squamous proliferations after initiation of etanercept therapy.
A 66-year-old man was referred to our clinic for treatment of psoriasis, as noted on a biopsy of the right ankle diagnosed several years prior. He was being treated with etanercept 50 mg twice weekly. Other treatments included calcipotriene–betamethasone dipropionate, salicylic acid gel, intralesional triamcinolone, clobetasol, and urea 40%. Physical examination revealed multiple erythematous tender nodules with hyperkeratotic scale distributed on the right arm and leg (Figure 1) that were concerning for SCC. Biopsies from 6 lesions revealed multiple SCC/keratoacanthomas (KAs) with verrucous features (Figure 2). Primers for human papillomavirus (HPV) 6, 11, 16, 18, 31, 33, and 51 were all negative. At that time, etanercept was discontinued. The patient was referred for Mohs micrographic surgery and underwent excision of several SCC lesions including an approximately 7-cm SCC on the right ankle (Figure 1B). Positron emission tomography/computed tomography found hypermetabolic lymphadenopathy. A follow-up biopsy of the inguinal nodes identified no malignant cells. Given their multiplicity, the patient was initiated on a prolonged course of a retinoid with acitretin 35 mg daily. The clearance of the large 7-cm lesion with a single stage of Mohs micrographic surgery directed suspicion to a pseudoepitheliomatous or HPV-induced cause for the lesions. Rereview of the original 6 biopsies indicated 1 definitive SCC on the right wrist, 2 KAs, and 3 that were most consistent with verruca vulgaris. At 1-year follow-up, most of the hyperkeratotic lesions had resolved with continued acitretin. Baseline porokeratosis lesions that were abundantly present on the arms and legs resolved by 1-year follow-up (Figure 3A).
The link between classic porokeratosis and the development of squamous cell proliferations is well established. Ninomiya et al3 noted a possible mechanism of p53 overexpression in the epidermis of porokeratotic lesions that may make the lesions particularly susceptible to the development of immunosuppression-induced SCC. Etanercept is an immune-modulating drug with well-known immunosuppressive side effects including reactivation of HPV as well as the development of SCCs.
Our patient initially was diagnosed with psoriasis and etanercept was initiated. The presence of coexistent porokeratosis likely predisposed him to etanercept-induced squamous proliferations including 2 SCCs and verrucous lesions, with histologic features suggesting SCC/KA. Histopathology revealed a cornoid lamella in SCC (Figure 3B), suggesting development of malignancy within epithelial clones, as noted by Lee et al.4
Targeted systemic therapies may lead to the formation of SCCs. The association between epidermal growth factor receptor (EGFR) kinase inhibitors and SCC formation is well known. For instance, sorafenib—a multikinase inhibitor that is downstream in the EGFR pathway—has been noted to induce epidermal growths including KAs and SCCs.5 There has been no definitive causal relationship identified between the development of SCC and TNF-α inhibitors. It has been suggested that perhaps there is an unmasking effect, as subclinical SCC manifests after TNF-α inhibition that leads to SCC development. Discontinuation of etanercept and resolution of lesions highlights a potential role of TNF-α inhibition and tumorigenesis of SCCs, especially in the background of porokeratosis. Vigilance for development of immunosuppression-induced malignancy, especially squamous cell proliferations, has become exceedingly important with exponentially increasing use of biologic therapies in medicine.
- Feldmann M, Charles P, Taylor P, et al. Biological insights from clinical trials with anti-TNF therapy. Springer Semin Immunopathol Springer Sem Immunopathol. 1998;20:211-228.
- Brewer JD, Schott ARH, Roenigk RK. Multiple squamous cell carcinomas in the setting of psoriasis treated with etanercept: a report of four cases and review of the literature. Int J Dermatol. 2011;50:1555-1559.
- Ninomiya Y, Urano Y, Yoshimoto K, et al. p53 gene mutation analysis in porokeratosis and porokeratosis-associated squamous cell carcinoma. J Dermatol Sci. 1997;14:173-178.
- Lee HR, Han TY, Son S-J, et al. Squamous cell carcinoma developing within lesions of disseminated superficial actinic porokeratosis. Ann Dermatol. 2011;23:536.
- Kwon EJ, Kish LS, Jaworsky C. The histologic spectrum of epithelial neoplasms induced by sorafenib. J Am Acad Dermatol. 2009;61:522-527.
To the Editor:
Etanercept is an immune-modulating drug used for the treatment of a variety of diseases including psoriasis, rheumatoid arthritis, and ankylosing spondylitis. It is an anti–tumor necrosis factor (TNF) fusion protein consisting of an extracellular domain of the p75 TNF receptor and the Fc portion of human IgG.1 Etanercept is well known for its immunosuppressive side effects. A handful of case reports have provided evidence of squamous cell cancers in the setting of etanercept therapy. The most comprehensive description was a case series by Brewer et al2 describing 4 patients with squamous cell carcinoma (SCC) that developed 1 to 17 months after the initiation of etanercept therapy. We present a case of a patient diagnosed with psoriasis and concomitant porokeratosis who developed multiple SCCs and squamous proliferations after initiation of etanercept therapy.
A 66-year-old man was referred to our clinic for treatment of psoriasis, as noted on a biopsy of the right ankle diagnosed several years prior. He was being treated with etanercept 50 mg twice weekly. Other treatments included calcipotriene–betamethasone dipropionate, salicylic acid gel, intralesional triamcinolone, clobetasol, and urea 40%. Physical examination revealed multiple erythematous tender nodules with hyperkeratotic scale distributed on the right arm and leg (Figure 1) that were concerning for SCC. Biopsies from 6 lesions revealed multiple SCC/keratoacanthomas (KAs) with verrucous features (Figure 2). Primers for human papillomavirus (HPV) 6, 11, 16, 18, 31, 33, and 51 were all negative. At that time, etanercept was discontinued. The patient was referred for Mohs micrographic surgery and underwent excision of several SCC lesions including an approximately 7-cm SCC on the right ankle (Figure 1B). Positron emission tomography/computed tomography found hypermetabolic lymphadenopathy. A follow-up biopsy of the inguinal nodes identified no malignant cells. Given their multiplicity, the patient was initiated on a prolonged course of a retinoid with acitretin 35 mg daily. The clearance of the large 7-cm lesion with a single stage of Mohs micrographic surgery directed suspicion to a pseudoepitheliomatous or HPV-induced cause for the lesions. Rereview of the original 6 biopsies indicated 1 definitive SCC on the right wrist, 2 KAs, and 3 that were most consistent with verruca vulgaris. At 1-year follow-up, most of the hyperkeratotic lesions had resolved with continued acitretin. Baseline porokeratosis lesions that were abundantly present on the arms and legs resolved by 1-year follow-up (Figure 3A).
The link between classic porokeratosis and the development of squamous cell proliferations is well established. Ninomiya et al3 noted a possible mechanism of p53 overexpression in the epidermis of porokeratotic lesions that may make the lesions particularly susceptible to the development of immunosuppression-induced SCC. Etanercept is an immune-modulating drug with well-known immunosuppressive side effects including reactivation of HPV as well as the development of SCCs.
Our patient initially was diagnosed with psoriasis and etanercept was initiated. The presence of coexistent porokeratosis likely predisposed him to etanercept-induced squamous proliferations including 2 SCCs and verrucous lesions, with histologic features suggesting SCC/KA. Histopathology revealed a cornoid lamella in SCC (Figure 3B), suggesting development of malignancy within epithelial clones, as noted by Lee et al.4
Targeted systemic therapies may lead to the formation of SCCs. The association between epidermal growth factor receptor (EGFR) kinase inhibitors and SCC formation is well known. For instance, sorafenib—a multikinase inhibitor that is downstream in the EGFR pathway—has been noted to induce epidermal growths including KAs and SCCs.5 There has been no definitive causal relationship identified between the development of SCC and TNF-α inhibitors. It has been suggested that perhaps there is an unmasking effect, as subclinical SCC manifests after TNF-α inhibition that leads to SCC development. Discontinuation of etanercept and resolution of lesions highlights a potential role of TNF-α inhibition and tumorigenesis of SCCs, especially in the background of porokeratosis. Vigilance for development of immunosuppression-induced malignancy, especially squamous cell proliferations, has become exceedingly important with exponentially increasing use of biologic therapies in medicine.
To the Editor:
Etanercept is an immune-modulating drug used for the treatment of a variety of diseases including psoriasis, rheumatoid arthritis, and ankylosing spondylitis. It is an anti–tumor necrosis factor (TNF) fusion protein consisting of an extracellular domain of the p75 TNF receptor and the Fc portion of human IgG.1 Etanercept is well known for its immunosuppressive side effects. A handful of case reports have provided evidence of squamous cell cancers in the setting of etanercept therapy. The most comprehensive description was a case series by Brewer et al2 describing 4 patients with squamous cell carcinoma (SCC) that developed 1 to 17 months after the initiation of etanercept therapy. We present a case of a patient diagnosed with psoriasis and concomitant porokeratosis who developed multiple SCCs and squamous proliferations after initiation of etanercept therapy.
A 66-year-old man was referred to our clinic for treatment of psoriasis, as noted on a biopsy of the right ankle diagnosed several years prior. He was being treated with etanercept 50 mg twice weekly. Other treatments included calcipotriene–betamethasone dipropionate, salicylic acid gel, intralesional triamcinolone, clobetasol, and urea 40%. Physical examination revealed multiple erythematous tender nodules with hyperkeratotic scale distributed on the right arm and leg (Figure 1) that were concerning for SCC. Biopsies from 6 lesions revealed multiple SCC/keratoacanthomas (KAs) with verrucous features (Figure 2). Primers for human papillomavirus (HPV) 6, 11, 16, 18, 31, 33, and 51 were all negative. At that time, etanercept was discontinued. The patient was referred for Mohs micrographic surgery and underwent excision of several SCC lesions including an approximately 7-cm SCC on the right ankle (Figure 1B). Positron emission tomography/computed tomography found hypermetabolic lymphadenopathy. A follow-up biopsy of the inguinal nodes identified no malignant cells. Given their multiplicity, the patient was initiated on a prolonged course of a retinoid with acitretin 35 mg daily. The clearance of the large 7-cm lesion with a single stage of Mohs micrographic surgery directed suspicion to a pseudoepitheliomatous or HPV-induced cause for the lesions. Rereview of the original 6 biopsies indicated 1 definitive SCC on the right wrist, 2 KAs, and 3 that were most consistent with verruca vulgaris. At 1-year follow-up, most of the hyperkeratotic lesions had resolved with continued acitretin. Baseline porokeratosis lesions that were abundantly present on the arms and legs resolved by 1-year follow-up (Figure 3A).
The link between classic porokeratosis and the development of squamous cell proliferations is well established. Ninomiya et al3 noted a possible mechanism of p53 overexpression in the epidermis of porokeratotic lesions that may make the lesions particularly susceptible to the development of immunosuppression-induced SCC. Etanercept is an immune-modulating drug with well-known immunosuppressive side effects including reactivation of HPV as well as the development of SCCs.
Our patient initially was diagnosed with psoriasis and etanercept was initiated. The presence of coexistent porokeratosis likely predisposed him to etanercept-induced squamous proliferations including 2 SCCs and verrucous lesions, with histologic features suggesting SCC/KA. Histopathology revealed a cornoid lamella in SCC (Figure 3B), suggesting development of malignancy within epithelial clones, as noted by Lee et al.4
Targeted systemic therapies may lead to the formation of SCCs. The association between epidermal growth factor receptor (EGFR) kinase inhibitors and SCC formation is well known. For instance, sorafenib—a multikinase inhibitor that is downstream in the EGFR pathway—has been noted to induce epidermal growths including KAs and SCCs.5 There has been no definitive causal relationship identified between the development of SCC and TNF-α inhibitors. It has been suggested that perhaps there is an unmasking effect, as subclinical SCC manifests after TNF-α inhibition that leads to SCC development. Discontinuation of etanercept and resolution of lesions highlights a potential role of TNF-α inhibition and tumorigenesis of SCCs, especially in the background of porokeratosis. Vigilance for development of immunosuppression-induced malignancy, especially squamous cell proliferations, has become exceedingly important with exponentially increasing use of biologic therapies in medicine.
- Feldmann M, Charles P, Taylor P, et al. Biological insights from clinical trials with anti-TNF therapy. Springer Semin Immunopathol Springer Sem Immunopathol. 1998;20:211-228.
- Brewer JD, Schott ARH, Roenigk RK. Multiple squamous cell carcinomas in the setting of psoriasis treated with etanercept: a report of four cases and review of the literature. Int J Dermatol. 2011;50:1555-1559.
- Ninomiya Y, Urano Y, Yoshimoto K, et al. p53 gene mutation analysis in porokeratosis and porokeratosis-associated squamous cell carcinoma. J Dermatol Sci. 1997;14:173-178.
- Lee HR, Han TY, Son S-J, et al. Squamous cell carcinoma developing within lesions of disseminated superficial actinic porokeratosis. Ann Dermatol. 2011;23:536.
- Kwon EJ, Kish LS, Jaworsky C. The histologic spectrum of epithelial neoplasms induced by sorafenib. J Am Acad Dermatol. 2009;61:522-527.
- Feldmann M, Charles P, Taylor P, et al. Biological insights from clinical trials with anti-TNF therapy. Springer Semin Immunopathol Springer Sem Immunopathol. 1998;20:211-228.
- Brewer JD, Schott ARH, Roenigk RK. Multiple squamous cell carcinomas in the setting of psoriasis treated with etanercept: a report of four cases and review of the literature. Int J Dermatol. 2011;50:1555-1559.
- Ninomiya Y, Urano Y, Yoshimoto K, et al. p53 gene mutation analysis in porokeratosis and porokeratosis-associated squamous cell carcinoma. J Dermatol Sci. 1997;14:173-178.
- Lee HR, Han TY, Son S-J, et al. Squamous cell carcinoma developing within lesions of disseminated superficial actinic porokeratosis. Ann Dermatol. 2011;23:536.
- Kwon EJ, Kish LS, Jaworsky C. The histologic spectrum of epithelial neoplasms induced by sorafenib. J Am Acad Dermatol. 2009;61:522-527.
Practice Points
- The use of biologics, particularly tumor necrosis factor α blockers, rarely are reported to induce skin cancer.
- Squamous cell carcinoma in the setting of biologic treatment would warrant a change of systemic medication.
Cutaneous Carcinomatous Arteriopathy and Retiform Purpura Secondary to Metastatic Penile Carcinoma
To the Editor:
A 56-year-old man with a history of stage IV metastatic penile squamous cell carcinoma treated with penectomy and chemotherapy with 5-fluorouracil and cisplatin presented with several painful ulcerations in the groin, abdomen, and thighs. The lesions initially appeared in the groin and were treated as bacterial abscesses with antibiotics. Over the next few weeks, new lesions appeared on the abdomen and thighs. An additional cycle of chemotherapy led to a reduction in number; however, they again increased within a few weeks. Medications included enoxaparin followed by 3 weeks of warfarin use due to a right leg deep vein thrombosis.
Physical examination revealed multiple 1- to 4-cm, firm, ulcerated nodules on the bilateral inguinal folds, abdomen, and upper thighs, as well as areas of livedo racemosa and noninflammatory retiform purpura with central ulceration (Figures 1 and 2). This retiform purpura was both perilesional and in areas without ulcerations. Laboratory values included the following: sodium, 127 mmol/L (reference range, 136–145 mmol/L); prothrombin time, 16.1 seconds (reference range, 11–15 seconds); white blood cell count, 20.69×109/L (reference range, 4.5–11.0×109/L) with 87% neutrophils (reference range, 54%–62%); hemoglobin, 6.1 g/dL (reference range, 13.5–17.5 g/dL); hematocrit, 18.8% (reference range, 41%–53%); platelets, 474×109/L (reference range, 150–400×109/L); D-dimer, 0.77 mg/L (reference range, ≤0.50 mg/L); fibrinogen, 489 mg/dL (reference range, 150–400 mg/dL); prior urine culture positive for Pseudomonas aeruginosa. He was negative for hepatitis B and hepatitis C viruses as well as HIV, and the lesions were not clinically consistent with herpes simplex virus, as they were not scalloped or circinate. Punch biopsies were obtained from a nodule on the left leg and a purpuric patch on the right leg.
Histopathology of the ulcerated nodule revealed a proliferation of atypical keratinocytes with hyperchromatic and pleomorphic nuclei in the dermis without involvement of the overlying epidermis, consistent with metastatic squamous cell carcinoma (Figure 3). Histopathology of the purpuric patch demonstrated a thrombotic vasculopathy with numerous fibrin thrombi in the lumina of superficial dermal capillaries (Figure 4). No atypical cells, calcifications, or organisms were seen in the vessels. Periodic acid–Schiff, Fite, and Gram stains also were negative. The extent of the disease portended a poor prognosis, and additional vasculopathic workup was not pursued. Following antibiotic treatment and palliative care consultation, he died from subsequent infectious complications 1 month after presentation.
Cutaneous metastases may occur in the setting of multiple malignancies including breast, lung, melanoma, and various gastrointestinal cancers.1 These may present in multiple ways, including firm nontender nodules or as plaques with one of the following morphologies: carcinoma erysipeloides: erythematous, occasionally tender areas resembling cellulitis due to lymphatic obstruction by tumor cells2; carcinoma en cuirasse: indurated sclerotic scarlike plaques due to collagen infiltration3; or carcinoma telangiectoides: telangiectatic, thin erythematous plaques due to dermal capillary infiltration by malignant cells.3
Ischemic cutaneous lesions less commonly occur in the setting of malignancy and can be the result of both direct and indirect systemic effects from the cancer. Malignancies are known to directly trigger vasculopathies in other organs, most commonly the lungs, through 2 primary mechanisms. First, in carcinomatous arteriopathy, metastatic cells promote fibrocellular intimal proliferation of small pulmonary arteries and arterioles leading to stenosis, thrombosis, and obliteration. This mechanism has been described in pulmonary thrombotic microangiopathy secondary to lung carcinoma.4 This pathophysiology likely is also what underlies paraneoplastic acral vascular syndromes, which culminate in digital ischemia. Hypothesized mechanisms for this ischemia also range from vasospasm to thromboembolism.5 Secondly, in vasculitis carcinomatosa, metastatic tumor cells damage or block vessel walls, resulting in end-organ ischemia. Vasculitis carcinomatosa is a well-known phenomenon in angiocentric and intravascular lymphoid malignancies (typically of B-T or natural killer/T-cell origin) but also has been reported in a case of gastric adenocarcinoma with arterial invasion.6 This process is different than carcinoma telangiectoides where malignant cells may be present in the vasculature on histopathology but not trigger thrombosis and ischemic skin necrosis.
Systemic coagulopathies such as disseminated intravascular coagulation (DIC), thrombotic thrombocytopenia purpura, and catastrophic antiphospholipid antibody syndrome can occur in the setting of malignancies.7 Clinically, all may present with livedo racemosa, noninflammatory retiform purpura, and widespread skin necrosis. In adult patients, purpura fulminans most often is seen in the setting of sepsis and DIC, with accompanying evidence of microangiopathy.8 Catastrophic antiphospholipid antibody syndrome can be triggered by malignancy and is characterized by central nervous system, renal, pulmonary, and gastrointestinal complications. Skin involvement such as ulcers, livedo reticularis, and gangrene have been reported.9 Other causes of thrombotic vasculopathy include warfarin necrosis, heparin-induced thrombotic thrombocytopenia, calciphylaxis, and angioinvasive infections.8 Warfarin necrosis and heparin-induced thrombotic thrombocytopenia typically present days after initiating therapy with the respective medication. Calciphylaxis typically occurs in patients on dialysis, though it may occur in nonuremic patients including those with malignancy.8 Patients with malignancies on chemotherapy can become neutropenic and are at risk for ecthyma gangrenosum due to P aeruginosa and other gram-negative rods, Staphylococcus aureus, and angioinvasive fungi.10
Based on clinical, histopathological, and laboratory data, we favored a diagnosis of cutaneous carcinomatous arteriopathy. Vasculitis carcinomatosa was a possibility despite the lack of vasculotropism on histopathology, which may have been due to biopsy site selection. Systemic coagulopathies such as DIC, thrombotic thrombocytopenia purpura, and catastrophic antiphospholipid antibody syndrome were unlikely, as the ischemic skin lesions and livedo racemosa were limited to areas adjacent to cutaneous metastases, and the patient lacked other common multiorgan manifestations or laboratory findings. Although our patient was on warfarin, he was on a stable dose for weeks and histopathologic features of subcutaneous thrombosis were not seen. The biopsy also was not consistent with calciphylaxis. Ecthyma gangrenosum was unlikely given the lack of organisms on histopathology and negative skin and blood cultures. Although additional laboratory testing in this patient may have included cryoglobulins and cryofibrinogens, both entities were unlikely due to a lack of ischemic acral lesions.
In conclusion, we present a case of localized thrombotic vasculopathy that likely was secondary to cutaneous carcinomatous arteriopathy in the setting of cutaneous metastatic penile squamous cell carcinoma. The differential diagnosis of retiform purpura, livedo racemosa, and other signs of cutaneous ischemia in patients with metastatic cancer is broad and can be the result of both direct and indirect systemic effects from the cancer. Appropriate workup in these cases should include skin biopsies for histopathology and culture, medication review, and laboratory evaluation for systemic coagulopathies.
- Alcaraz I, Cerroni L, Ruetten A, et al. Cutaneous metastases from internal malignancies: a clinicopathologic and immunohistochemical review. Am J Dermatopathol. 2012;34:347-393.
- Prat L, Chouaid C, Kettaneh A, et al. Cutaneous lymphangitis carcinomatosa in a patient with lung adenocarcinoma: case report and literature review. Lung Cancer. 2013;79:91-93.
- Marneros AG, Blanco F, Husain S, et al. Classification of cutaneous intravascular breast cancer metastases based on immunolabeling for blood and lymph vessels. J Am Acad Dermatol. 2009;60:633-638.
- von Herbay A, Illes A, Waldherr R, et al. Pulmonary tumor thrombotic microangiopathy with pulmonary hypertension. Cancer. 1990;66:587-592.
- Besnerais ML, Miranda S, Cailleux N, et al. Digital ischemia associated with cancer. Medicine. 2014;93:E47.
- Sweeney S, Utzschneider R, Fraire AE. Vasculitis carcinomatosa occurring in association with adenocarcinoma of the stomach. Ann Diagn Pathol. 1998;2:247-249.
- Zwicker JI, Furie BC, Furie B. Cancer-associated thrombosis. Crit Rev Oncol Hematol. 2007;62:126-136.
- Thornsberry LA, LoSicco KI, English JC. The skin and hypercoagulable states. J Am Acad Dermatol. 2013;69:450-462.
- Miesbach W, Asherson RA, Cervera R, et al; CAPS Registry Group. The role of malignancies in patients with catastrophic anti-phospholipid (Asherson’s) syndrome. Clin Rheumatol. 2007;26:2109-2114.
- Pozo D. Ecthyma gangrenosum‐like eruption associated with Morganella morganii infection. Br J Dermatol. 1998;139:520-521.
To the Editor:
A 56-year-old man with a history of stage IV metastatic penile squamous cell carcinoma treated with penectomy and chemotherapy with 5-fluorouracil and cisplatin presented with several painful ulcerations in the groin, abdomen, and thighs. The lesions initially appeared in the groin and were treated as bacterial abscesses with antibiotics. Over the next few weeks, new lesions appeared on the abdomen and thighs. An additional cycle of chemotherapy led to a reduction in number; however, they again increased within a few weeks. Medications included enoxaparin followed by 3 weeks of warfarin use due to a right leg deep vein thrombosis.
Physical examination revealed multiple 1- to 4-cm, firm, ulcerated nodules on the bilateral inguinal folds, abdomen, and upper thighs, as well as areas of livedo racemosa and noninflammatory retiform purpura with central ulceration (Figures 1 and 2). This retiform purpura was both perilesional and in areas without ulcerations. Laboratory values included the following: sodium, 127 mmol/L (reference range, 136–145 mmol/L); prothrombin time, 16.1 seconds (reference range, 11–15 seconds); white blood cell count, 20.69×109/L (reference range, 4.5–11.0×109/L) with 87% neutrophils (reference range, 54%–62%); hemoglobin, 6.1 g/dL (reference range, 13.5–17.5 g/dL); hematocrit, 18.8% (reference range, 41%–53%); platelets, 474×109/L (reference range, 150–400×109/L); D-dimer, 0.77 mg/L (reference range, ≤0.50 mg/L); fibrinogen, 489 mg/dL (reference range, 150–400 mg/dL); prior urine culture positive for Pseudomonas aeruginosa. He was negative for hepatitis B and hepatitis C viruses as well as HIV, and the lesions were not clinically consistent with herpes simplex virus, as they were not scalloped or circinate. Punch biopsies were obtained from a nodule on the left leg and a purpuric patch on the right leg.
Histopathology of the ulcerated nodule revealed a proliferation of atypical keratinocytes with hyperchromatic and pleomorphic nuclei in the dermis without involvement of the overlying epidermis, consistent with metastatic squamous cell carcinoma (Figure 3). Histopathology of the purpuric patch demonstrated a thrombotic vasculopathy with numerous fibrin thrombi in the lumina of superficial dermal capillaries (Figure 4). No atypical cells, calcifications, or organisms were seen in the vessels. Periodic acid–Schiff, Fite, and Gram stains also were negative. The extent of the disease portended a poor prognosis, and additional vasculopathic workup was not pursued. Following antibiotic treatment and palliative care consultation, he died from subsequent infectious complications 1 month after presentation.
Cutaneous metastases may occur in the setting of multiple malignancies including breast, lung, melanoma, and various gastrointestinal cancers.1 These may present in multiple ways, including firm nontender nodules or as plaques with one of the following morphologies: carcinoma erysipeloides: erythematous, occasionally tender areas resembling cellulitis due to lymphatic obstruction by tumor cells2; carcinoma en cuirasse: indurated sclerotic scarlike plaques due to collagen infiltration3; or carcinoma telangiectoides: telangiectatic, thin erythematous plaques due to dermal capillary infiltration by malignant cells.3
Ischemic cutaneous lesions less commonly occur in the setting of malignancy and can be the result of both direct and indirect systemic effects from the cancer. Malignancies are known to directly trigger vasculopathies in other organs, most commonly the lungs, through 2 primary mechanisms. First, in carcinomatous arteriopathy, metastatic cells promote fibrocellular intimal proliferation of small pulmonary arteries and arterioles leading to stenosis, thrombosis, and obliteration. This mechanism has been described in pulmonary thrombotic microangiopathy secondary to lung carcinoma.4 This pathophysiology likely is also what underlies paraneoplastic acral vascular syndromes, which culminate in digital ischemia. Hypothesized mechanisms for this ischemia also range from vasospasm to thromboembolism.5 Secondly, in vasculitis carcinomatosa, metastatic tumor cells damage or block vessel walls, resulting in end-organ ischemia. Vasculitis carcinomatosa is a well-known phenomenon in angiocentric and intravascular lymphoid malignancies (typically of B-T or natural killer/T-cell origin) but also has been reported in a case of gastric adenocarcinoma with arterial invasion.6 This process is different than carcinoma telangiectoides where malignant cells may be present in the vasculature on histopathology but not trigger thrombosis and ischemic skin necrosis.
Systemic coagulopathies such as disseminated intravascular coagulation (DIC), thrombotic thrombocytopenia purpura, and catastrophic antiphospholipid antibody syndrome can occur in the setting of malignancies.7 Clinically, all may present with livedo racemosa, noninflammatory retiform purpura, and widespread skin necrosis. In adult patients, purpura fulminans most often is seen in the setting of sepsis and DIC, with accompanying evidence of microangiopathy.8 Catastrophic antiphospholipid antibody syndrome can be triggered by malignancy and is characterized by central nervous system, renal, pulmonary, and gastrointestinal complications. Skin involvement such as ulcers, livedo reticularis, and gangrene have been reported.9 Other causes of thrombotic vasculopathy include warfarin necrosis, heparin-induced thrombotic thrombocytopenia, calciphylaxis, and angioinvasive infections.8 Warfarin necrosis and heparin-induced thrombotic thrombocytopenia typically present days after initiating therapy with the respective medication. Calciphylaxis typically occurs in patients on dialysis, though it may occur in nonuremic patients including those with malignancy.8 Patients with malignancies on chemotherapy can become neutropenic and are at risk for ecthyma gangrenosum due to P aeruginosa and other gram-negative rods, Staphylococcus aureus, and angioinvasive fungi.10
Based on clinical, histopathological, and laboratory data, we favored a diagnosis of cutaneous carcinomatous arteriopathy. Vasculitis carcinomatosa was a possibility despite the lack of vasculotropism on histopathology, which may have been due to biopsy site selection. Systemic coagulopathies such as DIC, thrombotic thrombocytopenia purpura, and catastrophic antiphospholipid antibody syndrome were unlikely, as the ischemic skin lesions and livedo racemosa were limited to areas adjacent to cutaneous metastases, and the patient lacked other common multiorgan manifestations or laboratory findings. Although our patient was on warfarin, he was on a stable dose for weeks and histopathologic features of subcutaneous thrombosis were not seen. The biopsy also was not consistent with calciphylaxis. Ecthyma gangrenosum was unlikely given the lack of organisms on histopathology and negative skin and blood cultures. Although additional laboratory testing in this patient may have included cryoglobulins and cryofibrinogens, both entities were unlikely due to a lack of ischemic acral lesions.
In conclusion, we present a case of localized thrombotic vasculopathy that likely was secondary to cutaneous carcinomatous arteriopathy in the setting of cutaneous metastatic penile squamous cell carcinoma. The differential diagnosis of retiform purpura, livedo racemosa, and other signs of cutaneous ischemia in patients with metastatic cancer is broad and can be the result of both direct and indirect systemic effects from the cancer. Appropriate workup in these cases should include skin biopsies for histopathology and culture, medication review, and laboratory evaluation for systemic coagulopathies.
To the Editor:
A 56-year-old man with a history of stage IV metastatic penile squamous cell carcinoma treated with penectomy and chemotherapy with 5-fluorouracil and cisplatin presented with several painful ulcerations in the groin, abdomen, and thighs. The lesions initially appeared in the groin and were treated as bacterial abscesses with antibiotics. Over the next few weeks, new lesions appeared on the abdomen and thighs. An additional cycle of chemotherapy led to a reduction in number; however, they again increased within a few weeks. Medications included enoxaparin followed by 3 weeks of warfarin use due to a right leg deep vein thrombosis.
Physical examination revealed multiple 1- to 4-cm, firm, ulcerated nodules on the bilateral inguinal folds, abdomen, and upper thighs, as well as areas of livedo racemosa and noninflammatory retiform purpura with central ulceration (Figures 1 and 2). This retiform purpura was both perilesional and in areas without ulcerations. Laboratory values included the following: sodium, 127 mmol/L (reference range, 136–145 mmol/L); prothrombin time, 16.1 seconds (reference range, 11–15 seconds); white blood cell count, 20.69×109/L (reference range, 4.5–11.0×109/L) with 87% neutrophils (reference range, 54%–62%); hemoglobin, 6.1 g/dL (reference range, 13.5–17.5 g/dL); hematocrit, 18.8% (reference range, 41%–53%); platelets, 474×109/L (reference range, 150–400×109/L); D-dimer, 0.77 mg/L (reference range, ≤0.50 mg/L); fibrinogen, 489 mg/dL (reference range, 150–400 mg/dL); prior urine culture positive for Pseudomonas aeruginosa. He was negative for hepatitis B and hepatitis C viruses as well as HIV, and the lesions were not clinically consistent with herpes simplex virus, as they were not scalloped or circinate. Punch biopsies were obtained from a nodule on the left leg and a purpuric patch on the right leg.
Histopathology of the ulcerated nodule revealed a proliferation of atypical keratinocytes with hyperchromatic and pleomorphic nuclei in the dermis without involvement of the overlying epidermis, consistent with metastatic squamous cell carcinoma (Figure 3). Histopathology of the purpuric patch demonstrated a thrombotic vasculopathy with numerous fibrin thrombi in the lumina of superficial dermal capillaries (Figure 4). No atypical cells, calcifications, or organisms were seen in the vessels. Periodic acid–Schiff, Fite, and Gram stains also were negative. The extent of the disease portended a poor prognosis, and additional vasculopathic workup was not pursued. Following antibiotic treatment and palliative care consultation, he died from subsequent infectious complications 1 month after presentation.
Cutaneous metastases may occur in the setting of multiple malignancies including breast, lung, melanoma, and various gastrointestinal cancers.1 These may present in multiple ways, including firm nontender nodules or as plaques with one of the following morphologies: carcinoma erysipeloides: erythematous, occasionally tender areas resembling cellulitis due to lymphatic obstruction by tumor cells2; carcinoma en cuirasse: indurated sclerotic scarlike plaques due to collagen infiltration3; or carcinoma telangiectoides: telangiectatic, thin erythematous plaques due to dermal capillary infiltration by malignant cells.3
Ischemic cutaneous lesions less commonly occur in the setting of malignancy and can be the result of both direct and indirect systemic effects from the cancer. Malignancies are known to directly trigger vasculopathies in other organs, most commonly the lungs, through 2 primary mechanisms. First, in carcinomatous arteriopathy, metastatic cells promote fibrocellular intimal proliferation of small pulmonary arteries and arterioles leading to stenosis, thrombosis, and obliteration. This mechanism has been described in pulmonary thrombotic microangiopathy secondary to lung carcinoma.4 This pathophysiology likely is also what underlies paraneoplastic acral vascular syndromes, which culminate in digital ischemia. Hypothesized mechanisms for this ischemia also range from vasospasm to thromboembolism.5 Secondly, in vasculitis carcinomatosa, metastatic tumor cells damage or block vessel walls, resulting in end-organ ischemia. Vasculitis carcinomatosa is a well-known phenomenon in angiocentric and intravascular lymphoid malignancies (typically of B-T or natural killer/T-cell origin) but also has been reported in a case of gastric adenocarcinoma with arterial invasion.6 This process is different than carcinoma telangiectoides where malignant cells may be present in the vasculature on histopathology but not trigger thrombosis and ischemic skin necrosis.
Systemic coagulopathies such as disseminated intravascular coagulation (DIC), thrombotic thrombocytopenia purpura, and catastrophic antiphospholipid antibody syndrome can occur in the setting of malignancies.7 Clinically, all may present with livedo racemosa, noninflammatory retiform purpura, and widespread skin necrosis. In adult patients, purpura fulminans most often is seen in the setting of sepsis and DIC, with accompanying evidence of microangiopathy.8 Catastrophic antiphospholipid antibody syndrome can be triggered by malignancy and is characterized by central nervous system, renal, pulmonary, and gastrointestinal complications. Skin involvement such as ulcers, livedo reticularis, and gangrene have been reported.9 Other causes of thrombotic vasculopathy include warfarin necrosis, heparin-induced thrombotic thrombocytopenia, calciphylaxis, and angioinvasive infections.8 Warfarin necrosis and heparin-induced thrombotic thrombocytopenia typically present days after initiating therapy with the respective medication. Calciphylaxis typically occurs in patients on dialysis, though it may occur in nonuremic patients including those with malignancy.8 Patients with malignancies on chemotherapy can become neutropenic and are at risk for ecthyma gangrenosum due to P aeruginosa and other gram-negative rods, Staphylococcus aureus, and angioinvasive fungi.10
Based on clinical, histopathological, and laboratory data, we favored a diagnosis of cutaneous carcinomatous arteriopathy. Vasculitis carcinomatosa was a possibility despite the lack of vasculotropism on histopathology, which may have been due to biopsy site selection. Systemic coagulopathies such as DIC, thrombotic thrombocytopenia purpura, and catastrophic antiphospholipid antibody syndrome were unlikely, as the ischemic skin lesions and livedo racemosa were limited to areas adjacent to cutaneous metastases, and the patient lacked other common multiorgan manifestations or laboratory findings. Although our patient was on warfarin, he was on a stable dose for weeks and histopathologic features of subcutaneous thrombosis were not seen. The biopsy also was not consistent with calciphylaxis. Ecthyma gangrenosum was unlikely given the lack of organisms on histopathology and negative skin and blood cultures. Although additional laboratory testing in this patient may have included cryoglobulins and cryofibrinogens, both entities were unlikely due to a lack of ischemic acral lesions.
In conclusion, we present a case of localized thrombotic vasculopathy that likely was secondary to cutaneous carcinomatous arteriopathy in the setting of cutaneous metastatic penile squamous cell carcinoma. The differential diagnosis of retiform purpura, livedo racemosa, and other signs of cutaneous ischemia in patients with metastatic cancer is broad and can be the result of both direct and indirect systemic effects from the cancer. Appropriate workup in these cases should include skin biopsies for histopathology and culture, medication review, and laboratory evaluation for systemic coagulopathies.
- Alcaraz I, Cerroni L, Ruetten A, et al. Cutaneous metastases from internal malignancies: a clinicopathologic and immunohistochemical review. Am J Dermatopathol. 2012;34:347-393.
- Prat L, Chouaid C, Kettaneh A, et al. Cutaneous lymphangitis carcinomatosa in a patient with lung adenocarcinoma: case report and literature review. Lung Cancer. 2013;79:91-93.
- Marneros AG, Blanco F, Husain S, et al. Classification of cutaneous intravascular breast cancer metastases based on immunolabeling for blood and lymph vessels. J Am Acad Dermatol. 2009;60:633-638.
- von Herbay A, Illes A, Waldherr R, et al. Pulmonary tumor thrombotic microangiopathy with pulmonary hypertension. Cancer. 1990;66:587-592.
- Besnerais ML, Miranda S, Cailleux N, et al. Digital ischemia associated with cancer. Medicine. 2014;93:E47.
- Sweeney S, Utzschneider R, Fraire AE. Vasculitis carcinomatosa occurring in association with adenocarcinoma of the stomach. Ann Diagn Pathol. 1998;2:247-249.
- Zwicker JI, Furie BC, Furie B. Cancer-associated thrombosis. Crit Rev Oncol Hematol. 2007;62:126-136.
- Thornsberry LA, LoSicco KI, English JC. The skin and hypercoagulable states. J Am Acad Dermatol. 2013;69:450-462.
- Miesbach W, Asherson RA, Cervera R, et al; CAPS Registry Group. The role of malignancies in patients with catastrophic anti-phospholipid (Asherson’s) syndrome. Clin Rheumatol. 2007;26:2109-2114.
- Pozo D. Ecthyma gangrenosum‐like eruption associated with Morganella morganii infection. Br J Dermatol. 1998;139:520-521.
- Alcaraz I, Cerroni L, Ruetten A, et al. Cutaneous metastases from internal malignancies: a clinicopathologic and immunohistochemical review. Am J Dermatopathol. 2012;34:347-393.
- Prat L, Chouaid C, Kettaneh A, et al. Cutaneous lymphangitis carcinomatosa in a patient with lung adenocarcinoma: case report and literature review. Lung Cancer. 2013;79:91-93.
- Marneros AG, Blanco F, Husain S, et al. Classification of cutaneous intravascular breast cancer metastases based on immunolabeling for blood and lymph vessels. J Am Acad Dermatol. 2009;60:633-638.
- von Herbay A, Illes A, Waldherr R, et al. Pulmonary tumor thrombotic microangiopathy with pulmonary hypertension. Cancer. 1990;66:587-592.
- Besnerais ML, Miranda S, Cailleux N, et al. Digital ischemia associated with cancer. Medicine. 2014;93:E47.
- Sweeney S, Utzschneider R, Fraire AE. Vasculitis carcinomatosa occurring in association with adenocarcinoma of the stomach. Ann Diagn Pathol. 1998;2:247-249.
- Zwicker JI, Furie BC, Furie B. Cancer-associated thrombosis. Crit Rev Oncol Hematol. 2007;62:126-136.
- Thornsberry LA, LoSicco KI, English JC. The skin and hypercoagulable states. J Am Acad Dermatol. 2013;69:450-462.
- Miesbach W, Asherson RA, Cervera R, et al; CAPS Registry Group. The role of malignancies in patients with catastrophic anti-phospholipid (Asherson’s) syndrome. Clin Rheumatol. 2007;26:2109-2114.
- Pozo D. Ecthyma gangrenosum‐like eruption associated with Morganella morganii infection. Br J Dermatol. 1998;139:520-521.
Practice Points
- Cutaneous metastases may present in multiple ways, including carcinoma erysipeloides, carcinoma en cuirasse, or carcinoma telangiectoides.
- Ischemic cutaneous lesions, characterized by livedoid skin changes and retiform purpura, occur less commonly in the setting of malignancy.
- Direct mechanisms include carcinomatous arteriopathy and vasculitis carcinomatosa. Indirect systemic processes include coagulopathies such as disseminated intravascular coagulation, thrombotic thrombocytopenia purpura, catastrophic antiphospholipid antibody syndrome, calciphylaxis, and cryoglobulinemia.
Indoor tanning ICD-10 codes may be underused, study finds
according to a study presented at the annual meeting of the Society for Investigative Dermatology.
“Since indoor tanning ICD-10 codes were only recently universally implemented in 2015, and providers may still be using other codes that cover similar services, we think our data likely underestimate the number of encounters and sequelae associated with indoor tanning,” Alexandria M. Brown, BSA, of Baylor College of Medicine, Houston, said in her presentation. “We think increased usage of these indoor tanning exposure codes in coming years will strengthen this body of indoor tanning literature and data.”
Using insurance claims data on about 43 million patients from Truven Health MarketScan, Ms. Brown and colleagues analyzed patient encounters with ICD-10 indoor tanning codes W89.1, W89.1XXA, W89.1XXD, and W89.1XXS between 2016 and 2018 for about 43 million patients. Overall, there were 4,550 patient encounters where these codes had been recorded, with most (99%) occurring in an outpatient setting. The majority of providers at these encounters were dermatologists (72%). Patients were mostly women (85%); and most were ages 25-34 years (19.4%), 35-44 years (20.6%), 45-54 years (22.7%), and 55-64 years (19%). Almost 5% were 65 and over, 11.7% were ages 18-24, and 1.6% were under age 18.
The use of indoor tanning codes were most common in the Midwest (55 per 100,000 encounters with dermatologists), compared with 16 per 100,000 in the Northeast, 21 per 100,000 in the West, and 28 per 100,000 in the South. CPT codes for “destruction of a premalignant lesion” and “biopsy” were the most frequently used codes entered at visits where indoor tanning codes were also entered, and were present in 15.1% of encounters and 18.4% of encounters, respectively.
“This suggests that many of these encounters may have been for skin cancer surveillance and that indoor tanning exposure may have been coded as part of a patient’s skin cancer risk profile,” Ms. Brown noted.
The study shows how these codes are being used and could help determine health care use patterns for these patients as well as their comorbidities, behaviors, and risk factors, according to the authors, who believe this is the first study to look at the use of ICD-10 indoor tanning codes.
“Any effort to reduce indoor tanning requires knowledge of the population at risk. It has been shown that the ability to recognize and provide counseling to at-risk patients can improve sun protective behaviors and reduce indoor tanning,” Ms. Brown said. Claims databases can be a “valuable tool to better understand patients who have been exposed to indoor tanning and their associated risk factors, comorbidities, behaviors, and health care utilization.”
In an interview, Adam Friedman, MD, professor and chair of dermatology at George Washington University, Washington, said the study was interesting and “provides some guidance with respect to who, when, and where in the U.S. to target educational initiatives on the harms of tanning beds.”
Dr. Friedman, who was not involved with the research, agreed with the authors’ assertion that their study was underestimating the use of indoor tanning beds. “Using a large database provides the means to better generalize one’s dataset; however in this case, it relies on proper coding by the practitioner,” or even using the code for tanning bed use at all.
“There also could be some inherent bias given most of the cases for which the code was used was for skin cancer surveillance, and therefore tanning bed use was top of mind,” he said.
While he believes this study may not be most efficient way of determining demographics of at-risk individuals using tanning beds, Dr. Friedman said the results “should serve as the impetus to develop public health campaigns around this information, following which research can be conducted to evaluate if the intervention had an impact.”
Ms. Brown and Dr. Friedman reported no relevant financial disclosures.
according to a study presented at the annual meeting of the Society for Investigative Dermatology.
“Since indoor tanning ICD-10 codes were only recently universally implemented in 2015, and providers may still be using other codes that cover similar services, we think our data likely underestimate the number of encounters and sequelae associated with indoor tanning,” Alexandria M. Brown, BSA, of Baylor College of Medicine, Houston, said in her presentation. “We think increased usage of these indoor tanning exposure codes in coming years will strengthen this body of indoor tanning literature and data.”
Using insurance claims data on about 43 million patients from Truven Health MarketScan, Ms. Brown and colleagues analyzed patient encounters with ICD-10 indoor tanning codes W89.1, W89.1XXA, W89.1XXD, and W89.1XXS between 2016 and 2018 for about 43 million patients. Overall, there were 4,550 patient encounters where these codes had been recorded, with most (99%) occurring in an outpatient setting. The majority of providers at these encounters were dermatologists (72%). Patients were mostly women (85%); and most were ages 25-34 years (19.4%), 35-44 years (20.6%), 45-54 years (22.7%), and 55-64 years (19%). Almost 5% were 65 and over, 11.7% were ages 18-24, and 1.6% were under age 18.
The use of indoor tanning codes were most common in the Midwest (55 per 100,000 encounters with dermatologists), compared with 16 per 100,000 in the Northeast, 21 per 100,000 in the West, and 28 per 100,000 in the South. CPT codes for “destruction of a premalignant lesion” and “biopsy” were the most frequently used codes entered at visits where indoor tanning codes were also entered, and were present in 15.1% of encounters and 18.4% of encounters, respectively.
“This suggests that many of these encounters may have been for skin cancer surveillance and that indoor tanning exposure may have been coded as part of a patient’s skin cancer risk profile,” Ms. Brown noted.
The study shows how these codes are being used and could help determine health care use patterns for these patients as well as their comorbidities, behaviors, and risk factors, according to the authors, who believe this is the first study to look at the use of ICD-10 indoor tanning codes.
“Any effort to reduce indoor tanning requires knowledge of the population at risk. It has been shown that the ability to recognize and provide counseling to at-risk patients can improve sun protective behaviors and reduce indoor tanning,” Ms. Brown said. Claims databases can be a “valuable tool to better understand patients who have been exposed to indoor tanning and their associated risk factors, comorbidities, behaviors, and health care utilization.”
In an interview, Adam Friedman, MD, professor and chair of dermatology at George Washington University, Washington, said the study was interesting and “provides some guidance with respect to who, when, and where in the U.S. to target educational initiatives on the harms of tanning beds.”
Dr. Friedman, who was not involved with the research, agreed with the authors’ assertion that their study was underestimating the use of indoor tanning beds. “Using a large database provides the means to better generalize one’s dataset; however in this case, it relies on proper coding by the practitioner,” or even using the code for tanning bed use at all.
“There also could be some inherent bias given most of the cases for which the code was used was for skin cancer surveillance, and therefore tanning bed use was top of mind,” he said.
While he believes this study may not be most efficient way of determining demographics of at-risk individuals using tanning beds, Dr. Friedman said the results “should serve as the impetus to develop public health campaigns around this information, following which research can be conducted to evaluate if the intervention had an impact.”
Ms. Brown and Dr. Friedman reported no relevant financial disclosures.
according to a study presented at the annual meeting of the Society for Investigative Dermatology.
“Since indoor tanning ICD-10 codes were only recently universally implemented in 2015, and providers may still be using other codes that cover similar services, we think our data likely underestimate the number of encounters and sequelae associated with indoor tanning,” Alexandria M. Brown, BSA, of Baylor College of Medicine, Houston, said in her presentation. “We think increased usage of these indoor tanning exposure codes in coming years will strengthen this body of indoor tanning literature and data.”
Using insurance claims data on about 43 million patients from Truven Health MarketScan, Ms. Brown and colleagues analyzed patient encounters with ICD-10 indoor tanning codes W89.1, W89.1XXA, W89.1XXD, and W89.1XXS between 2016 and 2018 for about 43 million patients. Overall, there were 4,550 patient encounters where these codes had been recorded, with most (99%) occurring in an outpatient setting. The majority of providers at these encounters were dermatologists (72%). Patients were mostly women (85%); and most were ages 25-34 years (19.4%), 35-44 years (20.6%), 45-54 years (22.7%), and 55-64 years (19%). Almost 5% were 65 and over, 11.7% were ages 18-24, and 1.6% were under age 18.
The use of indoor tanning codes were most common in the Midwest (55 per 100,000 encounters with dermatologists), compared with 16 per 100,000 in the Northeast, 21 per 100,000 in the West, and 28 per 100,000 in the South. CPT codes for “destruction of a premalignant lesion” and “biopsy” were the most frequently used codes entered at visits where indoor tanning codes were also entered, and were present in 15.1% of encounters and 18.4% of encounters, respectively.
“This suggests that many of these encounters may have been for skin cancer surveillance and that indoor tanning exposure may have been coded as part of a patient’s skin cancer risk profile,” Ms. Brown noted.
The study shows how these codes are being used and could help determine health care use patterns for these patients as well as their comorbidities, behaviors, and risk factors, according to the authors, who believe this is the first study to look at the use of ICD-10 indoor tanning codes.
“Any effort to reduce indoor tanning requires knowledge of the population at risk. It has been shown that the ability to recognize and provide counseling to at-risk patients can improve sun protective behaviors and reduce indoor tanning,” Ms. Brown said. Claims databases can be a “valuable tool to better understand patients who have been exposed to indoor tanning and their associated risk factors, comorbidities, behaviors, and health care utilization.”
In an interview, Adam Friedman, MD, professor and chair of dermatology at George Washington University, Washington, said the study was interesting and “provides some guidance with respect to who, when, and where in the U.S. to target educational initiatives on the harms of tanning beds.”
Dr. Friedman, who was not involved with the research, agreed with the authors’ assertion that their study was underestimating the use of indoor tanning beds. “Using a large database provides the means to better generalize one’s dataset; however in this case, it relies on proper coding by the practitioner,” or even using the code for tanning bed use at all.
“There also could be some inherent bias given most of the cases for which the code was used was for skin cancer surveillance, and therefore tanning bed use was top of mind,” he said.
While he believes this study may not be most efficient way of determining demographics of at-risk individuals using tanning beds, Dr. Friedman said the results “should serve as the impetus to develop public health campaigns around this information, following which research can be conducted to evaluate if the intervention had an impact.”
Ms. Brown and Dr. Friedman reported no relevant financial disclosures.
FROM SID 2021