Association Between Race/Ethnicity and Survival of Melanoma Patients in the United States Over 3 Decades: A Secondary Analysis of SEER Data

Nomogram Predicts Prognostic Factors for Head and Neck Cutaneous Melanoma: A Population-Based Analysis

BACKGROUND

The head and neck cutaneous melanoma (HNCM) accounts for 20% of newly diagnosed melanoma. Research on prognostic models for their survival yet remains largely unexplored. This study employed a nomogram approach to develop and validate a predictive model for both overall survival (OS) and disease-specific survival (DSS) in patients with HNCM.

METHODS

This study analyzed the HNCM patients diagnosed between 2004 and 2014 from Surveillance, Epidemiology, and End Results database. To identify independent prognostic factors for HNCM, we integrated results from univariate Cox regression analysis, random survival forests, and LASSO regression with cross-validation. A nomogram was designed and validated based on the identified characteristics to predict the 3-, 5-, and 8-year OS and DSS of patients with HNCM.

RESULTS

Age, Stage, Ulceration, Thickness, Chemotherapy, lymph node metastasis, and Radiation were identified as independent prognostic factors. The nomogram achieved a satisfactory performance with C-indices of 0.824(DSS) and 0.757(OS) in the training cohort and 0.827(DSS) and 0.749(OS) in the validation cohort, respectively. The area under the curves for the OS at 3, 5, and 8 years were 0.789, 0.788, and 0.794 for the training cohort, and 0.778, 0.776, and 0.795 for the validation cohort, respectively. For DSS, the area under the curves at 3, 5, and 8 years were 0.859, 0.842, and 0.828 in the training cohort, and 0.864, 0.844, and 0.834 in the validation cohort, respectively. The calibration curve showed that there was a strong correlation between the observed outcomes and the predicted survival probability.

CONCLUSIONS

This study established and validated predictive nomograms for HNCM patients with robust predictive performance.

Factors Associated with Adoption of Immune Checkpoint Inhibitor Treatment for Advanced Melanoma: A SEER-Medicare Cohort Study

We aimed to explore the differences in immune checkpoint inhibitor (ICI) immunotherapy utilization for advanced melanoma by examining patient and neighborhood characteristics. We performed a retrospective cohort study using a deidentified, random sample of SEER-Medicare beneficiaries aged ≥65 years with stage III or stage IV melanoma (2011-2017). Our primary outcome was initiation of ICI immunotherapy (ipilimumab, pembrolizumab, nivolumab, or atezolizumab) after stage III or stage IV melanoma diagnosis. We analyzed ICI usage with multivariable logistic regression. After analyzing the entire 2011-2017 cohort, we conducted a secondary analysis in which we separately analyzed the 2011-2014 and 2015-2017 cohorts to assess possible differences over time. We included 3531 beneficiaries, with mean follow-up of 2.1 (SD = 2.0) years. Higher likelihood of ICI usage was associated with male sex (OR = 1.21, 95% confidence interval = 1.04-1.42) and higher density of medical oncologists (OR = 1.02, 95% confidence interval = 1.01-1.04). Lower likelihood of ICI usage was associated with older age group and Charlson comorbidity score (score ≥2; OR = 0.72, 95% confidence interval = 0.60-0.86). These associations were diminished in more recent years (no association with sex, medical oncologist density, Charlson comorbidity score, and association with only the oldest age group in years 2015-2017). We found significant sex- and age-related differences in initiation among SEER-Medicare beneficiaries with stage III or stage IV melanoma, which appear to be improving over time.

Effects of treatment methods on cutaneous melanoma related mortality and all-cause mortality in Texas: TCR-Medicare 2007-2017 database

PURPOSE

The incidence of cutaneous melanoma is rising, and Melanoma related deaths are highest among people aged 65-74. Herein, we aim to understand the impact of novel and established melanoma treatment methods on CM related mortality and all-cause mortality. We further compared these effects among Hispanic and non-Hispanic Whites (NHW).

METHODS

The data was extracted from the Texas Cancer Registry from 2007 to 2017. A Cox Proportional Hazard regression analysis was performed to assess treatment effect on melanoma mortality and all-cause mortality, with race-ethnicity as an effect modifier.

RESULTS

A higher percentage of Hispanic patients presented with CM-related mortality (22.11%) compared to NHW patients (14.39%). In both the Hispanic and NHW, post-diagnosis radiation (HR = 1.610, 95% CI 0.984-2.634, HR = 2.348, 95% CI 2.082-2.648, respectively), post-diagnosis chemotherapy (HR = 1.899, 95% CI 1.085-3.322, HR = 2.035, 95% CI 1.664-2.489, respectively), and post-diagnosis immunotherapy (HR = 2.100, 95% CI 1.338-3.296, HR = 2.402, 95% CI 2.100-2.748) are each associated with an increased risk in CM-related mortality. Similar results were seen with post-diagnosis radiation (Hispanic HR = 1.640, 95% CI 1.121-2.400, NHW HR = 1.800, 95% CI 1.644-1.971), post-diagnostic chemotherapy (Hispanic HR = 1.457, 95% CI 0.898-2.364, NHW HR = 1.592, 95% CI 1.356-1.869), and post-diagnosis immunotherapy (Hispanic HR = 2.140, 95% CI 1.494-3.065, NHW HR = 2.190, 95% CI 1.969-2.435) with respect to all-cause mortality. Post-diagnosis surgery (HR = 0.581, 95% CI 0.395-0.856, HR = 0.622, 95% CI 0.571-0.678) had the opposite effect in CM-related mortality for Hispanics and NHWs respectively.

CONCLUSION

Our results propose differences in all-cause and CM-only related mortality with separate treatment modalities, particularly with chemotherapy, radiation therapy and immunotherapy. In addition, this retrospective cohort study showed that health disparities exist in the Hispanic Medicare population of Texas with CM.

CD133-Dependent Activation of Phosphoinositide 3-Kinase /AKT/Mammalian Target of Rapamycin Signaling in Melanoma Progression and Drug Resistance

Melanoma frequently harbors genetic alterations in key molecules leading to the aberrant activation of PI3K and its downstream pathways. Although the role of PI3K/AKT/mTOR in melanoma progression and drug resistance is well documented, targeting the PI3K/AKT/mTOR pathway showed less efficiency in clinical trials than might have been expected, since the suppression of the PI3K/mTOR signaling pathway-induced feedback loops is mostly associated with the activation of compensatory pathways such as MAPK/MEK/ERK. Consequently, the development of intrinsic and acquired resistance can occur. As a solid tumor, melanoma is notorious for its heterogeneity. This can be expressed in the form of genetically divergent subpopulations including a small fraction of cancer stem-like cells (CSCs) and non-cancer stem cells (non-CSCs) that make the most of the tumor mass. Like other CSCs, melanoma stem-like cells (MSCs) are characterized by their unique cell surface proteins/stemness markers and aberrant signaling pathways. In addition to its function as a robust marker for stemness properties, CD133 is crucial for the maintenance of stemness properties and drug resistance. Herein, the role of CD133-dependent activation of PI3K/mTOR in the regulation of melanoma progression, drug resistance, and recurrence is reviewed.

Primary Prevention of Cancer: A Multilevel Approach to Behavioral Risk Factor Reduction in Racially and Ethnically Minoritized Groups

ABSTRACT

Cancer continues to be the second most common cause of death in the United States. Racially and ethnically minoritized populations continue to experience disparities in cancer prevention compared with majority populations. Multilevel interventions-from policy, communities, health care institutions, clinical teams, families, and individuals-may be uniquely suited to reducing health disparities through behavioral risk factor modification in these populations. The aim of this article is to provide a brief overview of the evidence for primary prevention among racially and ethnically minoritized subpopulations in the United States. We focus on the epidemiology of tobacco use, obesity, diet and physical activity, alcohol use, sun exposure, and smoking, as well as increasing uptake of the Human Papillomavirus Vaccine (HPV), as mutable behavioral risk factors. We describe interventions at the policy level, including raising excise taxes on tobacco products; within communities and with community partners, for safe greenways and parks, and local healthful food; health care institutions, with reminder systems for HPV vaccinations; among clinicians, by screening for alcohol use and providing tailored weight reduction approaches; families, with HPV education; and among individuals, routinely using sun protection. A multilevel approach to primary prevention of cancer can modify many of the risk factors in racially and ethnically minoritized populations for whom cancer is already a burden.

Disparity in initiation of checkpoint inhibitors among commercially insured and Medicare Advantage patients with metastatic melanoma

BACKGROUND: Immune checkpoint inhibitors (ICIs) have revolutionized the treatment of advanced melanoma, but racial disparities in melanoma outcomes continue. These inequities are not fully explained by individual factors. OBJECTIVE: To investigate the associations of neighborhood factors with the use of ICIs in metastatic melanoma. METHODS: We conducted a retrospective cohort study of commercially insured US adults with metastatic melanoma diagnosed between January 2011 and December 2020. We examined the associations between the county-level percentage of population from racial and ethnic minority groups and the time from metastatic melanoma diagnosis to initiating ICIs using Cox proportional hazards models adjusting for patient characteristics. RESULTS: We identified 4,052 patients with metastatic melanoma, of which 49% used ICIs. We found that the adoption of ICIs in a county declined with increasing minority quintile (quintile 1: 52.4%, quintile 2: 50.4%, quintile 3: 50.1%, quintile 4: 45.8%, and quintile 5: 44.7%). The delay in ICI initiation also went up as the percentage of minorities in a county increased (log-rank test P = 0.03). Compared with the lowest quintile, the adjusted hazard ratio of ICI initiation of the second, third, fourth, and highest minority quintile was 0.94 (95% CI = 0.81-1.08), 0.88 (95% CI = 0.76-1.02), 0.81 (95% CI = 0.68-0.97), and 0.77 (95% CI = 0.66-0.91), respectively. Secondary analysis revealed that the slower initiation was driven by the counties with the highest percentage of Hispanic population (hazard ratio = 0.74; 95% CI = 0.61-0.89) in both Cox models and sensitivity analyses. High-minority counties correlated with metro areas, higher poverty levels, and a greater number of medical oncologists. CONCLUSIONS: We found that patients with metastatic melanoma living in counties with higher proportion of minorities, particularly of Hispanic origin, are more likely to experience delays in ICI treatment. This study provides important population-level data on neighborhood-level disparity in medication use. More research is needed on the underlying provider- and system-level factors that directly contributed to the lower use of cancer medicines in high-minority areas, which can help inform the development of evidence-based medication use strategies that can improve health outcomes and equity.

MicroRNA-155 and Disease-Related Immunohistochemical Parameters in Cutaneous Melanoma

Cutaneous melanoma is a severe and life-threatening form of skin cancer with growing incidences. While novel interventions have improved prognoses for these patients, early diagnosis of targeted treatment remains the most effective approach. MicroRNAs have grown to good use as potential biomarkers for early detection and as targets for treatment. miR-155 is well-studied for its role in tumor cell survival and proliferation in various tissues, although its role in melanoma remains controversial. In silico data analysis was performed in the dbDEMC v.3 to identify differentially expressed miRNA. We validated gene targets in melanoma using TarBase v8.0 and miRPath v3.0 and determined protein-protein interactions of the target genes. One hundred forty patients (age range 21-90 years) with cutaneous melanoma who underwent resection were included. Molecular assessment using Real-Time RT-qPCR, clinicopathological associations, and a literature review for the different roles of miR-155 in melanoma were performed. Analysis of the dbDEMC reveals controversial findings. While there is evidence of upregulation of miR-155 in primary and metastatic melanoma samples, others suggest decreased expression in later-stage melanoma and cases with brain metastasis. miR-155 has been overexpressed in prior cases of melanoma and precancerous lesions, and it was found to be dysregulated when compared to benign nevi. While miR-155 expression was associated with favorable outcomes in some studies, others showed an association with metastasis. Patients with high levels of miR-155 also noted reduction after receiving anti-PD-1 treatment, correlated with more prolonged overall survival. In our patient's cohort, 22.9% relapsed during treatment, and 45% developed recurrence, associated with factors such as lymph node infiltration, high mitotic index, and positive staining for CD117. Although overall analysis revealed miR-155 downregulation in melanoma specimens compared to non-cancer tissues, increased expression of miR-155 was associated with cases of superficial spreading melanoma subtype (p = 0.005) and any melanoma with a high mitotic rate (p = 0.010). The analysis did not identify optimum cutoff values to predict relapse, recurrence, or mortality. In conclusion, miR-155 could have, in part, a potential prognostic utility in cutaneous melanoma. Further mechanistic studies are required to unravel the multifunctional role of miR-155 in melanoma.

Primary cutaneous melanoma in Black patients: An analysis of 2464 cases from the National Cancer Database 2004-2018

Melanoma in Black patients carries a poor prognosis. Due to its rarity, melanoma in this population has not been well characterized. This study evaluates survival predictors in Black patients with melanoma. This was a retrospective cohort study of Black patients with cutaneous melanoma from the National Cancer Database 2004-2018. Of the 2464 cases, melanoma was more common among females than males (57.1% vs. 42.9%, p < .001). Median Breslow depth was 1.8 mm (interquartile range 0.4-4.4). Lower extremities were the most common location (52.8%), followed by upper extremities (13.1%) along with otherwise specified/overlapping/other (13.1%), then by trunk (11.8%), and lastly head and neck (9.2%). Stage at diagnosis was I (30.7%), II (27.5%), III (24.1%), and IV (17.7%). Ulceration was observed in 41.4% of lesions. Acral lentiginous melanoma (ALM) was the most common specific histologic subtype (20.3%), followed by superficial spreading melanoma (9.4%). After adjusting for confounders, higher stages and primary site on the head and neck were the strongest independent predictors of worse overall survival. Melanoma in Black patients is most likely to appear on the lower extremities. A large portion (41.8%) presented with stage III or IV disease. ALM was the most common specific histologic subtype.

Artificial Intelligence in Dermatology: Challenges and Perspectives

Artificial intelligence (AI) based on machine learning and convolutional neuron networks (CNN) is rapidly becoming a realistic prospect in dermatology. Non-melanoma skin cancer is the most common cancer worldwide and melanoma is one of the deadliest forms of cancer. Dermoscopy has improved physicians' diagnostic accuracy for skin cancer recognition but unfortunately it remains comparatively low. AI could provide invaluable aid in the early evaluation and diagnosis of skin cancer. In the last decade, there has been a breakthrough in new research and publications in the field of AI. Studies have shown that CNN algorithms can classify skin lesions from dermoscopic images with superior or at least equivalent performance compared to clinicians. Even though AI algorithms have shown very promising results for the diagnosis of skin cancer in reader studies, their generalizability and applicability in everyday clinical practice remain elusive. Herein we attempted to summarize the potential pitfalls and challenges of AI that were underlined in reader studies and pinpoint strategies to overcome limitations in future studies. Finally, we tried to analyze the advantages and opportunities that lay ahead for a better future for dermatology and patients, with the potential use of AI in our practices.

An analysis of lactate dehydrogenase (LDH) levels in advanced stage IV melanoma of the skin: prognostic capabilities and demographic variability

Despite its limitations, in part due to decreased specificity in advanced disease, serum lactate dehydrogenase (LDH) is one of few serum factors used in cancer staging. This study quantifies the predictive capabilities of LDH in stage IV melanoma of the skin and explores the validity of suggested demographic discrepancies which may exist in its use. The 1975-2017 Surveillance Epidemiology and End Results (SEER) database was queried for stage IV cutaneous melanoma cases. Demographic characteristics were compared between LDH groups using chi-square and t tests. Subsequent Cox multivariable regression was performed to assess survival differences. 334 cases of stage IV cutaneous melanoma (average age: 63.0 years) with measured serum LDH levels were identified. Of these patients, 150 (44.9%) had normal LDH, 112 (33.5%) had LDH < 1.5 × upper limit of normal (ULN), 57 (17.1%) had LDH 1.5-10 × ULN, and 15 (4.5%) had LDH > 10 × ULN. Lower incomes were associated with higher LDH; individuals with incomes < $50,000 had the greatest proportion of LDH 10 × ULN (19.2%; p = 0.0031). LDH > 10 × ULN also had the lowest proportion of White patients (p = 0.04). On Cox multivariable survival analysis, increasing LDH levels showed increased risk of death (LDH < 1.5 × ULN: HR = 2.05, p = 0.01; LDH 1.5-10 × ULN: HR = 1.46, p < 0.001; LDH > 10 × ULN: HR = 5.91, p < 0.001). This study reaffirms the utility of LDH as a significant predictor of mortality with incremental severity, suggesting possible use for mortality projections. We note that Black patients and those with lower incomes may be more likely to have an elevated LDH. Older age groups and presence of ulceration among patients with stage IV melanoma were also associated with a greater risk of mortality.

Does race affect the long-term survival benefit of systemic therapy in pancreatic adenocarcinoma?

BACKGROUND

Systemic therapy is a key management component of pancreatic ductal adenocarcinoma(PDAC). Racial disparities exist in PDAC, often linked to socioeconomic variables. We investigated the impact of race in PDAC patients who had undergone systemic therapy and surgical resection.

METHODS

A retrospective analysis was performed for all patients who underwent surgical resection for PDAC from 2010 to 2018.

RESULTS

234 patients (78.2% White; 21.8% Black) were included. Black patients presented at a younger age with larger tumors. White patients benefited from systemic therapy with longer overall survival (35vs20 months, p = 0.002). This survival advantage was not present in Black patients (21vs15 months, p = 0.15). Black patients receiving systemic therapy had similar survival as White patients who did not (p = 0.81).

CONCLUSION

Black PDAC patients present at younger ages and with larger initial tumors. In our population, White patients had a longer overall survival after both surgical and systemic therapy. These findings may indicate differences in tumor biology. Further prospective studies are needed.

Risk factors for cardiovascular mortality and melanoma-specific mortality among patients with melanoma: a SEER based study

OBJECTIVE

This study aims to identify the risk factors for cardiovascular mortality in melanoma patients.

METHODS

Data of melanoma patients were obtained from the Surveillance, Epidemiology, and End Results database. We used Person's chi-square test to assess the relationships between categorical variables. We used Kaplan-Meier test in the univariate analysis and Cox regression test for the multivariate analysis. Analyses were conducted using the SPSS software.

RESULTS

We analyzed data of 194 503 melanoma patients. Among them, 28 818 (14.8 %) died due to cardiovascular diseases. Cardiovascular-specific survival was higher in younger patients, women, married, localized disease, superficial spreading melanoma and in patients who had surgery. It was lower in patients who received chemotherapy or radiotherapy. The multivariate analysis revealed a higher risk of cardiovascular mortality in patients aged 50-64 years [hazard ratio (HR), 7.297; 95% confidence interval (CI), 6.68-7.97], patients aged ≥65 years (HR, 43.309; 95% CI, 39.706-47.240), men (HR, 1.535; 95% CI, 1.475-1.597), Blacks (HR, 1.29; 95% CI, 1.044-1.594), separated (HR, 1.286; 95% CI, 1.058-1.562), widowed (HR, 1.829; 95% CI, 1.706-1.961), patients with no or unknown history of chemotherapy (HR, 1.302; 95% CI, 1.071-1.583) or radiotherapy (HR, 1.477; 95% CI, 1.217-1.793) and patients with no surgery (HR, 1.468; 95% CI, 1.264-1.706).

CONCLUSIONS

In patients with melanoma, the risk of cardiovascular death is higher in older patients, men, Blacks, separated, widowed and patients with nodular or lentigo maligna melanoma. The risk is lower in married, patients with superficial spreading or acral lentiginous melanoma, and patients who had chemotherapy, radiotherapy or surgery.

Disease-Specific Health Disparities: A Targeted Review Focusing on Race and Ethnicity

Background: Wide disparities in health status exist in the United States across race and ethnicity, broadly driven by social determinants of health—most notably race and ethnic group differences in income, education, and occupational status. However, disparities in disease frequency or severity remain underappreciated for many individual diseases whose distribution in the population varies. Such information is not readily accessible, nor emphasized in treatment guidelines or reviews used by practitioners. Specifically, a summary on disease-specific evidence of disparities from population-based studies is lacking. Our goal was to summarize the published evidence for specific disease disparities in the United States so that this knowledge becomes more widely available “at the bedside”. We hope this summary stimulates health equity research at the disease level so that these disparities can be addressed effectively. Methods: A targeted literature review of disorders in Pfizer’s current pipeline was conducted. The 38 diseases included metabolic disorders, cancers, inflammatory conditions, dermatologic disorders, rare diseases, and infectious targets of vaccines under development. Online searches in Ovid and Google were performed to identify sources focused on differences in disease rates and severity between non-Hispanic Whites and Black/African Americans, and between non-Hispanic Whites and Hispanics. As a model for how this might be accomplished for all disorders, disparities in disease rates and disease severity were scored to make the results of our review most readily accessible. After primary review of each condition by one author, another undertook an independent review. Differences between reviewers were resolved through discussion. Results: For Black/African Americans, 29 of the 38 disorders revealed a robust excess in incidence, prevalence, or severity. After sickle cell anemia, the largest excesses in frequency were identified for multiple myeloma and hidradenitis suppurativa. For Hispanics, there was evidence of disparity in 19 diseases. Most notable were metabolic disorders, including non-alcoholic steatohepatitis (NASH). Conclusions: This review summarized recent disease-specific evidence of disparities based on race and ethnicity across multiple diseases, to inform clinicians and health equity research. Our findings may be well known to researchers and specialists in their respective fields but may not be common knowledge to health care providers or public health and policy institutions. Our hope is that this effort spurs research into the causes of the many disease disparities that exist in the United States.

Skin Cancer in People of Color: A Systematic Review

BACKGROUND

People of African, Asian, Hispanic or Latino, Pacific Islander, and Native Indian descent are considered people of color by the Skin of Color Society (SOCS).

OBJECTIVES

In this study, we assess incidence, risk factors, clinical characteristics, histopathology, treatment, and survival for skin malignancies in people of color as defined by the SOCS, by systematically reviewing the literature.

METHODS

An electronic literature search of the PubMed, EMBASE, and MEDLINE databases was performed. Articles published from 1 January 1990 through 12 December 2020 were included in the search.

RESULTS

We identified 2666 publications potentially meeting the study criteria. Titles and abstracts of these studies were reviewed and 2353 were excluded. The full text of 313 articles were evaluated and 251 were included in this review.

CONCLUSION

Differences in incidence, patterns, treatment, and survival exist among people of color for cutaneous malignancies. Further research and initiatives are needed to account for and mitigate these differences.

Temporal Aspects of the Association between Exposure to the World Trade Center Disaster and Risk of Cutaneous Melanoma

Rescue/recovery workers who responded to the World Trade Center (WTC) attacks were exposed to known/suspected carcinogens. Studies have identified a trend toward an elevated risk of cutaneous melanoma in this population; however, few found significant increases. Furthermore, temporal aspects of the association have not been investigated. A total of 44,540 non-Hispanic White workers from the WTC Combined Rescue/Recovery Cohort were studied between March 12, 2002 and December 31, 2015. Cancer data were obtained through linkages with 13 state registries. Poisson regression was used to estimate hazard ratios and 95% confidence intervals using the New York State population as the reference; change points in hazard ratios were estimated using profile likelihood. We observed 247 incident cases of melanoma. No increase in incidence was detected during 2002-2004. From 2005 to 2015, the hazard ratio was 1.34 (95% confidence interval = 1.18-1.52). A dose‒response relationship was observed by arrival time at the WTC site. Risk was elevated just over 3 years after the attacks. Whereas WTC-related exposures to UVR or other agents might have contributed to this result, exposures other than those at the WTC site, enhanced medical surveillance, and lack of a control group with a similar proportion of rescue/recovery workers cannot be discounted. Our results support continued study of this population for melanoma.

Characteristics of publicly available skin cancer image datasets: a systematic review

Publicly available skin image datasets are increasingly used to develop machine learning algorithms for skin cancer diagnosis. However, the total number of datasets and their respective content is currently unclear. This systematic review aimed to identify and evaluate all publicly available skin image datasets used for skin cancer diagnosis by exploring their characteristics, data access requirements, and associated image metadata. A combined MEDLINE, Google, and Google Dataset search identified 21 open access datasets containing 106 950 skin lesion images, 17 open access atlases, eight regulated access datasets, and three regulated access atlases. Images and accompanying data from open access datasets were evaluated by two independent reviewers. Among the 14 datasets that reported country of origin, most (11 [79%]) originated from Europe, North America, and Oceania exclusively. Most datasets (19 [91%]) contained dermoscopic images or macroscopic photographs only. Clinical information was available regarding age for 81 662 images (76·4%), sex for 82 848 (77·5%), and body site for 79 561 (74·4%). Subject ethnicity data were available for 1415 images (1·3%), and Fitzpatrick skin type data for 2236 (2·1%). There was limited and variable reporting of characteristics and metadata among datasets, with substantial under-representation of darker skin types. This is the first systematic review to characterise publicly available skin image datasets, highlighting limited applicability to real-life clinical settings and restricted population representation, precluding generalisability. Quality standards for characteristics and metadata reporting for skin image datasets are needed.

Racial Differences in the Prognosis and Survival of Cutaneous Melanoma From 1990 to 2020 in North America: A Systematic Review and Meta-Analysis

Background

Factors influencing the difference in the diagnosis and treatment of melanoma in racial minority groups are well-described in the literature and include atypical presentations and socioeconomic factors that impede access to care.

Objective

To characterize the differences in melanoma survival outcomes between non-Hispanic white patients and ethnic minority patients in North America.

Methods

We conducted searches of Embase via Ovid and MEDLINE via Ovid of studies published from 1989 to August 5, 2020. We included observational studies in North America which reported crude or effect estimate data on patient survival with cutaneous melanoma stratified by race.

Results

Forty-four studies met our inclusion criteria and were included in this systematic review. Pooled analysis revealed that black patients were at a significantly increased risk for overall mortality (HR 1.42, 95% CI, 1.25-1.60), as well as for melanoma-specific mortality (HR 1.27, 95% CI, 1.03-1.56). Pooled analyses using a representative study for each database yielded similar trends. Other ethnic minorities were also more likely report lower melanoma-specific survival compared to non-Hispanic white patients.

Conclusion

Our results support findings that melanoma patients of ethnic minorities, particularly black patients, experience worse health outcomes with regards to mortality. Overall survival and melanoma-specific survival are significantly decreased in black patients compared to non-Hispanic white patients. With the advent of more effective, contemporary treatments such as immunotherapy, our review identifies a gap in the literature investigating present-day or prospective data on melanoma outcomes, in order to characterize how current racial differences compare to findings from previous decades.

Dermoscopic features of neoplasms in skin of color: A review

BACKGROUND

Dermoscopy is undoubtedly a useful tool to improve diagnostic accuracy and minimize the number of unnecessary biopsies. However, much of the literature on dermoscopy focuses on findings in lighter-skin phototypes, leaving potential gaps of knowledge regarding its use in skin of color (SoC). As the clinical applications of dermoscopy continue to increase, understanding dermoscopic patterns in SoC is imperative.

OBJECTIVE

This review discusses the literature on dermoscopic findings of neoplasms in SoC, highlighting unique and characteristic dermoscopic features.

METHODS

A literature review was performed using the PubMed database. Case reports, case series, case-control studies, and systematic reviews were included.

RESULTS

A total of 8326 studies were identified based on the selected search terms, and 41 were included in this review based on relevance.

CONCLUSION

There are specific dermoscopic characteristics in SoC for benign nevi, acral lentiginous melanoma, ethnic melanonychia, and dermatofibroma; however, there is a lack of published data about specific features of cutaneous melanoma, subungual melanoma, pigmented basal cell carcinoma, and pigmented squamous cell carcinoma in SoC. Because pigmented basal cell carcinoma, pigmented squamous cell carcinoma, ethnic melanonychia, and acral lentiginous melanoma are diagnosed at later stages in this population, it is important to understand their dermoscopic features. Further descriptive studies are needed to better characterize unique dermoscopic features in neoplasms in SoC.

Immune-Based Cancer Treatment: Addressing Disparities in Access and Outcomes

Avoidable differences in the care and outcomes of patients with cancer (i.e., cancer care disparities) emerge or worsen with discoveries of new, more effective approaches to cancer diagnosis and treatment. The rapidly expanding use of immunotherapy for many different cancers across the spectrum from late to early stages has, predictably, been followed by emerging evidence of disparities in access to these highly effective but expensive treatments. The danger that these new treatments will further widen preexisting cancer care and outcome disparities requires urgent corrective intervention. Using a multilevel etiologic framework that categorizes the targets of intervention at the individual, provider, health care system, and social policy levels, we discuss options for a comprehensive approach to prevent and, where necessary, eliminate disparities in access to the clinical trials that are defining the optimal use of immunotherapy for cancer, as well as its safe use in routine care among appropriately diverse populations. We make the case that, contrary to the traditional focus on the individual level in descriptive reports of health care disparities, there is sequentially greater leverage at the provider, health care system, and social policy levels to overcome the challenge of cancer care and outcomes disparities, including access to immunotherapy. We also cite examples of effective government-sponsored and policy-level interventions, such as the National Cancer Institute Minority-Underserved Community Oncology Research Program and the Affordable Care Act, that have expanded clinical trial access and access to high-quality cancer care in general.

The value of melanoma inhibitory activity and LDH with melanoma patients in a Chinese population

ABSTRACT

Malignant melanoma is a highly malignant tumor originating from the melanocytes of the neural crest, which is prone to metastasis and has a poor prognosis. Previous research demonstrated that melanoma inhibitory activity (MIA) and lactate dehydrogenase (LDH) could serve as serum markers in malignant melanoma and indicate prognosis in the Caucasian race. Researchers suspected that both MIA and LDH could prompt the prognosis of malignant melanoma in the Chinese population. This study aimed to investigate the value of MIA and LDH in the prognosis of acral malignant melanoma.From January 1, 2014, to December 31, 2017, in Jiangsu Province, 44 acral malignant melanoma patients with complete data were chosen from the clinic. The LDH levels were extracted from their clinical data, and MIA levels were measured by enzyme-linked immunosorbent assay method. 8 paired advancing samples before and after metastasis were examined. 22 health donors were matched to the patient group. Receiver operating characteristic (ROC) curves of MIA and LDH were drawn to determine acral malignant melanoma tumorigenesis and metastasis and finally got the cut-off value. Cumulative survival was illustrated with the Kaplan-Meier plot, and factors were compared using the Log-rank test.Compared with age-matched healthy donors, MIA was significantly high in patients (P < .001). Moreover, serum MIA was significantly higher in III-IV stage patients than I-II stage patients (P < .001). However, there was no such association between LDH and melanoma stage and risk. Further study indicated that the MIA cut-off > 914.7pg/mL predicted disease progression with 86.4% specificity and 95.5% sensitivity. In the Kaplan-Meier analysis, MIA levels were independent risk factors for long-term mortality of acral malignant melanoma patients.It concluded that the quantification of MIA in the serum should be performed as a general standard of care in patients at risk of developing metastatic melanoma.

Recent Advances in Nanotechnology for the Treatment of Melanoma

Melanoma is one of the most aggressive forms of skin cancer, with few possibilities for therapeutic approaches, due to its multi-drug resistance and, consequently, low survival rate for patients. Conventional therapies for treatment melanoma include radiotherapy, chemotherapy, targeted therapy, and immunotherapy, which have various side effects. For this reason, in recent years, pharmaceutical and biomedical research has focused on new sito-specific alternative therapeutic strategies. In this regard, nanotechnology offers numerous benefits which could improve the life expectancy of melanoma patients with very low adverse effects. This review aims to examine the latest advances in nanotechnology as an innovative strategy for treating melanoma. In particular, the use of different types of nanoparticles, such as vesicles, polymers, metal-based, carbon nanotubes, dendrimers, solid lipid, microneedles, and their combination with immunotherapies and vaccines will be discussed.

Comparative study of cutaneous melanoma and its associated issues between people of African decent and Caucasians

Cutaneous melanoma is uncommon in people of African descent unlike their Caucasian counterparts. This rarity of cutaneous melanoma in people of African descent makes studies in this group difficult. In the few studies that are available, several differences exist in the incidence, disease severity, course of the disease, treatment modalities and survival rates between these two groups. Observed difference in cutaneous melanoma between people of African descent and Caucasians include; a higher incidence and better prognosis in Caucasians, a low awareness of melanoma, no definite risk factors, presentation with advanced disease, poor melanoma specific survival in people of African descent. Other differences are a better UV-induced DNA damage recovery, acral as opposed to truncal melanoma, female preponderance and lack of preventive measures in people of African descent.

Trends in short-term survival from distant-stage cutaneous melanoma in the United States, 2001-2013 (CONCORD-3)

Background

Survival from metastatic cutaneous melanoma is substantially lower than for localized disease. Treatments for metastatic melanoma have been limited, but remarkable clinical improvements have been reported in clinical trials in the last decade. We described the characteristics of US patients diagnosed with cutaneous melanoma during 2001-2013 and assessed trends in short-term survival for distant-stage disease.

Methods

Trends in 1-year net survival were estimated using the Pohar Perme estimator, controlling for background mortality with life tables of all-cause mortality rates by county of residence, single year of age, sex, and race for each year 2001-2013. We fitted a flexible parametric survival model on the log-hazard scale to estimate the effect of race on the hazard of death because of melanoma and estimated 1-year net survival by race.

Results

Only 4.4% of the 425 915 melanomas were diagnosed at a distant stage, cases diagnosed at a distant stage are more commonly men, older patients, and African Americans. Age-standardized, 1-year net survival for distant-stage disease was stable at approximately 43% during 2001-2010. From 2010 onward, survival improved rapidly, reaching 58.9% (95% confidence interval = 56.6% to 61.2%) for patients diagnosed in 2013. Younger patients experienced the largest improvement. Survival for distant-stage disease increased in both Blacks and Whites but was consistently lower in Blacks.

Conclusions

One-year survival for distant-stage melanoma improved during 2001-2013, particularly in younger patients and those diagnosed since 2010. This improvement may be a consequence of the introduction of immune-checkpoint-inhibitors and other targeted treatments for metastatic and unresectable disease. Persistent survival inequalities exist between Blacks and Whites, suggesting differential access to treatment.

Second-Generation Digital Health Platforms: Placing the Patient at the Center and Focusing on Clinical Outcomes

Artificial intelligence (AI) digital health systems have drawn much attention over the last decade. However, their implementation into medical practice occurs at a much slower pace than expected. This paper reviews some of the achievements of first-generation AI systems, and the barriers facing their implementation into medical practice. The development of second-generation AI systems is discussed with a focus on overcoming some of these obstacles. Second-generation systems are aimed at focusing on a single subject and on improving patients' clinical outcomes. A personalized closed-loop system designed to improve end-organ function and the patient's response to chronic therapies is presented. The system introduces a platform which implements a personalized therapeutic regimen and introduces quantifiable individualized-variability patterns into its algorithm. The platform is designed to achieve a clinically meaningful endpoint by ensuring that chronic therapies will have sustainable effect while overcoming compensatory mechanisms associated with disease progression and drug resistance. Second-generation systems are expected to assist patients and providers in adopting and implementing of these systems into everyday care.

Racial and Socioeconomic Disparities in the Delivery of Immunotherapy for Metastatic Melanoma in the United States

Immunotherapy for metastatic melanoma has rapidly expanded, but racial and/or socioeconomic factors often impact the type of therapies delivered for cancer care. This study addressed a crucial public health priority by evaluating disparities in administration of immunotherapy for metastatic melanoma. The National Cancer Database was queried for newly diagnosed metastatic melanoma. Patients were dichotomized based on receipt of immunotherapy based on National Cancer Database coding. Multivariable logistic regression ascertained factors associated with immunotherapy delivery. Subgroup analysis evaluated the interaction between race, insurance status, and income. Secondarily, Cox multivariate and propensity-matched Kaplan-Meier analyses assessed overall survival based on immunotherapy receipt. Of 15,941 patients meeting the selection criteria, 2448 (15.4%) received immunotherapy, and 13,493 (84.6%) did not. Temporal trends showed that utilization of immunotherapy was 8%-12% of patients between 2004 and 2010, with utilization increasing to 29.7% of patients in 2014. Immunotherapy was more likely administered to younger and healthier patients, at academic centers, and in the absence of chemotherapy and brain metastases (P<0.05 for all). African Americans, along with patients with Medicaid and lower incomes were less likely to receive immunotherapy (P<0.05 for all). As expected, immunotherapy was associated with improved overall survival (median 16.3 vs. 8.3 mo, P<0.001). Although immunotherapy for metastatic melanoma is markedly escalating, not all populations experience this rise equally. Because immunotherapy utilization is expected to amplify even further in the future, these public health and economic issues are essential to identify and address appropriately, and have implications on public health policy, pharmaceutical and insurance companies, and value-based oncology. Methods to address these inequalities are also discussed.

Machine Learning in Dermatology: Current Applications, Opportunities, and Limitations

Machine learning (ML) has the potential to improve the dermatologist's practice from diagnosis to personalized treatment. Recent advancements in access to large datasets (e.g., electronic medical records, image databases, omics), faster computing, and cheaper data storage have encouraged the development of ML algorithms with human-like intelligence in dermatology. This article is an overview of the basics of ML, current applications of ML, and potential limitations and considerations for further development of ML. We have identified five current areas of applications for ML in dermatology: (1) disease classification using clinical images; (2) disease classification using dermatopathology images; (3) assessment of skin diseases using mobile applications and personal monitoring devices; (4) facilitating large-scale epidemiology research; and (5) precision medicine. The purpose of this review is to provide a guide for dermatologists to help demystify the fundamentals of ML and its wide range of applications in order to better evaluate its potential opportunities and challenges.

Worse survival of invasive melanoma patients in men and "de novo" lesions

Background

The incidence and mortality of melanoma is increasing in many countries, including Brazil. Survival studies are still scarce in our country, but much needed to know and address this problem better.

Objective

To analyze the disease-specific survival of patients with invasive melanoma and to correlate it with clinical and histopathological variables.

Methods

Retrospective cohort analysis of 565 cases of invasive melanoma in a tertiary hospital with the objective of testing variables that could be associated with a worse prognosis, such as gender, phototype, thickness, histological type and presence of pre-existing clinical lesion at the site of the tumor.

Results

The worst survival rates were significantly associated with thicker tumors (p < 0.001), male sex (p = 0.014), high phototype (p = 0.047), nodular melanoma (p = 0.024) and “de novo” lesions (p = 0.005). When all variables were adjusted for melanoma thickness, male patients (p = 0.011) and “de novo” melanomas (p = 0.025) remained associated with worse survival.

Study limitations

Retrospective study of a single tertiary hospital.

Conclusions

Although the causes are still unknown, melanoma-specific survival was statistically worse for males and for “de novo” melanomas even after adjustment of tumor thickness.

Characterizing the role of dermatologists in developing artificial intelligence for assessment of skin cancer: A systematic review

BACKGROUND

The use of artificial intelligence (AI) for skin cancer assessment has been an emerging topic in dermatology. Leadership of dermatologists is necessary in defining how these technologies fit into clinical practice.

OBJECTIVE

To characterize the evolution of AI in skin cancer assessment and characterize the involvement of dermatologists in developing these technologies.

METHODS

An electronic literature search was performed using PubMed by searching machine learning or artificial intelligence combined with skin cancer or melanoma. Articles were included if they used AI for screening and diagnosis of skin cancer using data sets consisting of dermoscopic images or photographs of gross lesions.

RESULTS

Fifty-one articles were included, and 41% of these had dermatologists included as authors. Articles that included dermatologists described algorithms built with more images versus articles that did not include dermatologists (mean, 12,111 vs 660 images, respectively). In terms of underlying technology, AI used for skin cancer assessment has followed trends in the field of image recognition.

LIMITATIONS

This review focused on models described in the medical literature and did not account for those described elsewhere.

CONCLUSIONS

Greater involvement of dermatologists is needed in thinking through issues in data collection, data set biases, and applications of technology. Dermatologists can provide access to large, diverse data sets that are increasingly important for building these models.

Is the survival rate for acral melanoma actually worse than other cutaneous melanomas?

It is still not clear whether the survival rate for acral melanoma (AM) is better or worse than that of cutaneous melanoma developed at other sites. We sought to evaluate the difference in survival depending on the primary tumor site of cutaneous melanoma. We retrospectively reviewed primary cutaneous melanoma cases diagnosed at Samsung Medical Center, a tertiary institution in Korea, from January 1995 to July 2017. The cohort consisted of 642 patients, with 389 non-acral cutaneous melanoma (NACM) patients and 253 AM patients. The AM patients had a higher percentage of stage 0 diagnoses than the NACM patients (31.6% vs 6.9%, respectively). The factors associated with overall survival were primary tumor site, sex, age, American Joint Committee on Cancer stage, surgery and medical treatment (P < 0.05). Non-acral sites showed worse survival in multivariable analysis (hazard ratio [HR], 1.457; 95% confidence interval [CI], 1.051-2.020; P = 0.0240). Among the NACM, melanomas on the trunk were associated with a higher risk of mortality compared with AM (HR, 1.883; 95% CI, 1.142-3.107; P = 0.0131). Acral melanoma was associated with a better prognosis than non-acral melanoma, specifically when located on the trunk, in Korean patients.

Effects of pharmacogenetic variants on vemurafenib-related toxicities in patients with melanoma

Aim: The pharmacokinetics and pharmacodynamics of vemurafenib are characterized by a wide interpatient variability. Since multiple polymorphic enzymes and drug transporters are involved in vemurafenib pharmacokinetics, we studied associations of polymorphisms on vemurafenib-associated toxicities. Patients & methods: Prospectively collected samples of 97 melanoma patients treated with vemurafenib alone (n = 62) or in combination with cobimetinib (n = 35) were genotyped for ABCB1 (3435C>T), ABCG2 (421C>A, 34G>A) and CYP3A4 (*22, 15389C>T) polymorphisms. Associations between these variants and the incidence of toxicities were studied. Results: CYP3A4*22 was significantly associated with increased risk for grade ≥3 nausea, grade 1-4 hyperbilirubinemia, and cutaneous squamous cell carcinoma. ABCB1 3435C>T was a predictor for grade ≥3 toxicity. Conclusion: Genetic variants in CYP3A4 and ABCB1 are associated with vemurafenib-associated toxicities.

Key challenges for delivering clinical impact with artificial intelligence

BACKGROUND

Artificial intelligence (AI) research in healthcare is accelerating rapidly, with potential applications being demonstrated across various domains of medicine. However, there are currently limited examples of such techniques being successfully deployed into clinical practice. This article explores the main challenges and limitations of AI in healthcare, and considers the steps required to translate these potentially transformative technologies from research to clinical practice.

MAIN BODY

Key challenges for the translation of AI systems in healthcare include those intrinsic to the science of machine learning, logistical difficulties in implementation, and consideration of the barriers to adoption as well as of the necessary sociocultural or pathway changes. Robust peer-reviewed clinical evaluation as part of randomised controlled trials should be viewed as the gold standard for evidence generation, but conducting these in practice may not always be appropriate or feasible. Performance metrics should aim to capture real clinical applicability and be understandable to intended users. Regulation that balances the pace of innovation with the potential for harm, alongside thoughtful post-market surveillance, is required to ensure that patients are not exposed to dangerous interventions nor deprived of access to beneficial innovations. Mechanisms to enable direct comparisons of AI systems must be developed, including the use of independent, local and representative test sets. Developers of AI algorithms must be vigilant to potential dangers, including dataset shift, accidental fitting of confounders, unintended discriminatory bias, the challenges of generalisation to new populations, and the unintended negative consequences of new algorithms on health outcomes.

CONCLUSION

The safe and timely translation of AI research into clinically validated and appropriately regulated systems that can benefit everyone is challenging. Robust clinical evaluation, using metrics that are intuitive to clinicians and ideally go beyond measures of technical accuracy to include quality of care and patient outcomes, is essential. Further work is required (1) to identify themes of algorithmic bias and unfairness while developing mitigations to address these, (2) to reduce brittleness and improve generalisability, and (3) to develop methods for improved interpretability of machine learning predictions. If these goals can be achieved, the benefits for patients are likely to be transformational.

Clinical Presentations of Melanoma in African Americans, Hispanics, and Asians

BACKGROUND

Skin cancer has traditionally been studied in Caucasian skin. Although it does occur with increased relative frequency in Caucasians, patients with skin of color suffer from elevated morbidity and mortality when diagnosed with skin cancer.

OBJECTIVE

To detail the unique demographic, clinical, and genetic features of melanoma in patients with skin of color, including Hispanic, African American, and Asian patients.

MATERIALS AND METHODS

A PubMed search was conducted spanning dates 1947 to June 2017. A total of 246 articles were screened, from which 69 were included in this review.

RESULTS

Relative to Caucasians, melanoma has unique demographic, clinical, and genetic features in African Americans, Hispanics, and Asians that include gender and subtype predominance.

CONCLUSION

Familiarization with these unique presentations of skin cancer in skin of color is imperative to accurate identification and treatment of cutaneous malignancies in these populations and ultimately to improved disease-related outcomes.

Melanoma Among Non-Hispanic Black Americans

INTRODUCTION

Few studies have examined melanoma incidence and survival rates among non-Hispanic black populations because melanoma risk is lower among this group than among non-Hispanic white populations. However, non-Hispanic black people are often diagnosed with melanoma at later stages, and the predominant histologic types of melanomas that occur in non-Hispanic black people have poorer survival rates than the most common types among non-Hispanic white people.

METHODS

We used the US Cancer Statistics 2001-2015 Public Use Research Database to examine melanoma incidence and 5-year survival among non-Hispanic black US populations.

RESULTS

From 2011 through 2015, the overall incidence of melanoma among non-Hispanic black people was 1.0 per 100,000, and incidence increased with age. Although 63.8% of melanomas in non-Hispanic black people were of unspecified histology, the most commonly diagnosed defined histologic type was acral lentiginous melanoma (16.7%). From 2001 through 2014, the relative 5-year melanoma survival rate among non-Hispanic black people was 66.2%.

CONCLUSION

Although incidence of melanoma is relatively rare among non-Hispanic black populations, survival rates lag behind rates for non-Hispanic white populations. Improved public education is needed about incidence of acral lentiginous melanoma among non-Hispanic black people along with increased awareness among health care providers.

Health Outcome Studies in Skin Cancer Surgery

As cutaneous cancers are the most common malignancies affecting US citizens, they represent a significant public health problem and health care cost burden. There are a variety of treatment options available to manage cutaneous malignancies, but limited data are available regarding outcomes, including quality of life, recurrence, and mortality. Here, we examine outcomes of skin cancer surgery as they relate to sociodemographic data and treatment factors.

Ethnic disparity in primary cutaneous CD30+ T-cell lymphoproliferative disorders: an analysis of 1496 cases from the US National Cancer Database

Primary cutaneous CD30⁺ T cell lymphoproliferative disorders (PCLPD), the second most common type of primary cutaneous T cell lymphomas, accounts for approximately 25-30% of cutaneous T-cell lymphoma cases. However, only small retrospective studies have been reported. We aimed to identify prognostic factors and evaluate the overall survival (OS) of patients with PCLPD stratified by ethnicity. We identified 1496 patients diagnosed with PCLPD between 2004 and 2014 in the US National Cancer Database. Chi-square test and anova were used to evaluate differences in demographic and disease characteristics, socioeconomic factors and treatments received. OS was evaluated with the log-rank test, Cox proportional hazard regression analysis, and propensity score matching. The study included 1267 Caucasians, 153 African Americans (AA), 43 Asians, and 33 of other/unknown ethnicity. Older age, higher Charlson-Deyo score, higher clinical stage and receipt of chemotherapy were predictors of shorter OS. Primary disease site on a lower extremity was associated with shorter OS, while a head and neck location was associated with longer OS. AA patients had shorter OS when compared to Caucasian patients on multivariate analysis. This ethnic disparity persisted on propensity-score matched analysis and after matching Caucasian and AA patients on demographic and disease characteristics, socioeconomic factors and treatments received, and age and gender-matched relative survival analyses.

Design of MC1R Selective γ-MSH Analogues with Canonical Amino Acids Leads to Potency and Pigmentation

Melanoma is a lethal form of skin cancer. Skin pigmentation, which is regulated by the melanocortin 1 receptor (MC1R), is an effective protection against melanoma. However, the endogenous MC1R agonists lack selectivity for the MC1R and thus can have side effects. The use of noncanonical amino acids in previous MC1R ligand development raises safety concerns. Here we report the development of the first potent and selective hMC1R agonist with only canonical amino acids. Using γ-MSH as a template, we developed a peptide, [Leu3, Leu7, Phe8]-γ-MSH-NH2 (compound 5), which is 16-fold selective for the hMC1R (EC50 = 4.5 nM) versus other melanocortin receptors. Conformational studies revealed a constrained conformation for this linear peptide. Molecular docking demonstrated a hydrophobic binding pocket for the melanocortin 1 receptor. In vivo pigmentation study shows high potency and short duration. [Leu3, Leu7, Phe8]-γ-MSH-NH2 is ideal for inducing short-term skin pigmentation without sun for melanoma prevention.

Epidemiology of skin cancer in the mature patient

Epidermal cancers include keratinocyte cancer, melanocyte cancer, and Merkel cell carcinoma. These cancers account for the vast majority of new cancers diagnosed in Australia, North America, and Europe. Keratinocyte cancer is the most common epidermal cancer and accounts for 7 out of 8 new cancers diagnosed in Australia. Melanoma and Merkel cell carcinoma are less common than keratinocyte carcinoma but are more important causes of mortality in Australia. Keratinocyte cancer has also been demonstrated to be a marker of cancer-prone phenotype. Risk factors for epidermal cancer include intrinsic and environmental factors, in particular exposure to ultraviolet radiation and advanced age. Actinic keratosis has an approximate prevalence of 79% of men and 68% of women between 60 and 69 years of age, and has a low risk of malignant transformation into squamous cell carcinoma. Basal cell carcinoma is the most common malignancy in Caucasians worldwide, with the incidence increasing by 2% per year in Australia. Squamous cell carcinoma is the second most common epidermal cancer, with an incidence of approximately 1035 or 472 per 100,000 person-years in men and women, respectively. Primary risk factors for both basal cell carcinoma and squamous cell carcinoma include light skin color, UV radiation exposure, and chronic immunosuppression. Although the rate of melanoma is increasing, the mortality in Australia is reducing and is currently 9%. The overall incidence of melanoma in Australia is approximately 50 cases per 100,000 persons (62 for men and 40 for women). Keratinocyte carcinoma and melanoma are risk factors for developing further skin cancer and primary malignancy. This contribution reviews the incidence, prevalence, and risk factors associated with the development of epidermal cancer and premalignant epidermal neoplasia.