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Substantial geographic disparities in melanoma incidence and access to tanning bed facilities exist. In this spatial ecological study, we evaluate the relationship between access to tanning bed facilities and melanoma incidence. New England county-level melanoma incidence rates (2014-2018), tanning bed facilities location, demographic data, socioeconomic data, and geographic data were obtained from the National Cancer Institute State Cancer Profiles, Data Axle, American Community Survey, and United States Geological Survey. Spatial regression models were utilized to determine the association between melanoma incidence and access to tanning beds, adjusting for confounding factors. Adjusted spatial regression identified that for every 1-minute increase in average travel time to tanning facilities within 30 minutes travel time threshold, the melanoma incidence rate decreased by 3.46% in the same county and by 1.92% across New England. We found a negative association between average travel time to tanning facilities and county-level melanoma incidence rate, suggesting that policy aimed at decreasing access to indoor tanning facilities has the potential to reduce melanoma rates. High-risk clusters, with respect to county-level melanoma rate, were also identified. Targeting of interventions and resources to high-risk clusters may reduce geographic melanoma rates disparities., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)

Dermatologic diseases often exhibit distinct geographic patterns, underscoring the significant role of regional environmental, genetic, and sociocultural factors in driving their prevalence and manifestations. Geographic information and geospatial analysis enable researchers to investigate the spatial distribution of adverse health outcomes and their relationship with socioeconomic and environmental risk factors that are inherently geographic. Health geographers and spatial epidemiologists have developed numerous geospatial analytical tools to collect, process, visualize, and analyze geographic data. These tools help provide vital spatial context to the comprehension of the underlying dynamics behind health outcomes. By identifying areas with high rates of dermatologic disease and areas with barriers to access to quality dermatologic care, findings from studies utilizing geospatial analysis can inform the design and targeting of policy and intervention to help improve dermatologic healthcare outcomes and promote health equity. This article emphasizes the significance of geospatial data and analysis in dermatology research. We explore the common processes in data acquisition, harmonization, and geospatial analytics while conducting spatially and dermatologically relevant research. The article also highlights the practical application of geospatial analysis through instances drawn from the dermatology literature., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)

The identification and application of targeted therapies that inhibit critical pathways in malignant cells have shown tremendous promise for improving clinical outcomes for patients with advanced cutaneous malignancies. However, tumor cell heterogeneity, development of drug resistance, and risks of off-target effects remain barriers to prolonged remission and definitive cure. Herein, we describe the potential that combinations of antitumor targeted agents may offer in overcoming these challenges and detail techniques whereby promising combination regimens can be identified and further evaluated preclinically. Cancer cell lines and primary patient-derived malignant cells can be utilized to perform dose-response screenings in vitro for individual targeted agents before moving toward the evaluation of potential synergistic combinations. Mathematical analyses, including the Chou-Talalay method, determine combination indices and Hill slopes that permit relative comparisons among various drug combinations by quantification of synergistic activities. Further preclinical in vivo evaluation of promising single versus combination regimens may be studied in relevant mouse models of cutaneous malignancy. Ultimately, the formulation of combination targeted therapy regimens may be more broadly effective and less toxic, helping to better inform clinical trial design and prioritization., (Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved.)

Recognizing the skin manifestations of metabolic and endocrine disorders, many of which may have potentially lethal complications, is important for dermatologists and other clinicians. The skin can be a window into a patient's internal health, and cutaneous manifestations can facilitate early diagnosis and intervention of potentially life-altering systemic disorders with associated morbidity and mortality. This contribution provides an overview of the diverse rashes associated with potentially lethal, acquired metabolic and endocrine disorders of the pituitary, thyroid, parathyroid, pancreas, adrenals, and blood, as well as neuroendocrine and nutritional disease., (Copyright © 2019 Elsevier Inc. All rights reserved.)

The presence and degree of peripheral blood involvement in patients with cutaneous T-cell lymphoma (CTCL) portend a worse clinical outcome. Available systemic therapies for CTCL may variably decrease tumor burden and improve quality of life, but offer limited effects on survival; thus, novel approaches to the treatment of advanced stages of this non-Hodgkin lymphoma are clearly warranted. Mutational analyses of CTCL patient peripheral blood malignant cell samples suggested the antiapoptotic mediator B-cell lymphoma 2 (BCL2) as a potential therapeutic target. To test this, we developed a screening assay for evaluating the sensitivity of CTCL cells to targeted molecular agents, and compared a novel BCL2 inhibitor, venetoclax, alone and in combination with a histone deacetylase (HDAC) inhibitor, vorinostat or romidepsin. Peripheral blood CTCL malignant cells were isolated from 25 patients and exposed ex vivo to the 3 drugs alone and in combination, and comparisons were made to 4 CTCL cell lines (Hut78, Sez4, HH, MyLa). The majority of CTCL patient samples were sensitive to venetoclax, and BCL2 expression levels were negatively correlated ( r = -0.52; P = 018) to 50% inhibitory concentration values. Furthermore, this anti-BCL2 effect was markedly potentiated by concurrent HDAC inhibition with 93% of samples treated with venetoclax and vorinostat and 73% of samples treated with venetoclax and romidepsin showing synergistic effects. These data strongly suggest that concurrent BCL2 and HDAC inhibition may offer synergy in the treatment of patients with advanced CTCL. By using combination therapies and correlating response to gene expression in this way, we hope to achieve more effective and personalized treatments for CTCL., (© 2017 by The American Society of Hematology.)