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Journal ArticleDOI

Distinct Sets of Genetic Alterations in Melanoma

TLDR
The genetic alterations identified in melanoma at different sites and with different levels of sun exposure indicate that there are distinct genetic pathways in the development of melanoma and implicate CDK4 and CCND1 as independent oncogenes in melanomas without mutations in BRAF or N-RAS.
Abstract
Background Exposure to ultraviolet light is a major causative factor in melanoma, although the relationship between risk and exposure is complex. We hypothesized that the clinical heterogeneity is explained by genetically distinct types of melanoma with different susceptibility to ultraviolet light. Methods We compared genome-wide alterations in the number of copies of DNA and mutational status of BRAF and N-RAS in 126 melanomas from four groups in which the degree of exposure to ultraviolet light differs: 30 melanomas from skin with chronic sun-induced damage and 40 melanomas from skin without such damage; 36 melanomas from palms, soles, and subungual (acral) sites; and 20 mucosal melanomas. Results We found significant differences in the frequencies of regional changes in the number of copies of DNA and mutation frequencies in BRAF among the four groups of melanomas. Samples could be correctly classified into the four groups with 70 percent accuracy on the basis of the changes in the number of copies of...

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New Developments in the Treatment of Metastatic Melanoma: Immune Checkpoint Inhibitors and Targeted Therapies

TL;DR: Available clinical experience on approved therapies is reviewed, promising combination therapies are highlighted, and new developments are discussed.
Journal ArticleDOI

Molecular biology of normal melanocytes and melanoma cells

TL;DR: The understanding of genetic alterations in signalling pathways of primary and metastatic malignant melanoma and their interactions may lead to therapeutics modalities, particularly in advanced melanomas that have high mortality rates and are often resistant to chemotherapy and radiotherapy.
Journal ArticleDOI

Canine Melanomas as Models for Human Melanomas: Clinical, Histological, and Genetic Comparison.

TL;DR: This review addresses how canine and human melanoma subtypes compare based on their epidemiological, clinical, histological, and genetic characteristics, and how comparative oncology approaches can provide insights into rare and poorly characterized melanomas subtypes in humans that are frequent and breed-specific in dogs.
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Identification of candidate tumor suppressor genes inactivated by promoter methylation in melanoma

TL;DR: PPP1R3C, ENC1, RARRES1, and TP53INP1, showed reduced mRNA expression in 35–59% of the melanoma cell lines compared to melanocytes and which was correlated with a high proportion of promoter methylation, thus confirming them as novel candidate TSGs in melanoma.
Journal ArticleDOI

The rapidly evolving therapies for advanced melanoma—Towards immunotherapy, molecular targeted therapy, and beyond

TL;DR: The existing evidence for the newest treatments for advanced melanoma, including CTLA-4, PD-1/PD-L1 checkpoint inhibitors and BRAF, MEK inhibitors are presented.
References
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Journal ArticleDOI

R: A Language for Data Analysis and Graphics

TL;DR: In this article, the authors discuss their experience designing and implementing a statistical computing language, which combines what they felt were useful features from two existing computer languages, and they feel that the new language provides advantages in the areas of portability, computational efficiency, memory management, and scope.
Journal ArticleDOI

A new regulatory motif in cell-cycle control causing specific inhibition of cyclin D/CDK4

TL;DR: P16 seems to act in a regulatory feedback circuit with CDK4, D-type cyclins and retinoblastoma protein, and inhibits the catalytic activity of theCDK4/cyclin D enzymes.
Journal ArticleDOI

Comparison of discrimination methods for the classification of tumors using gene expression data

TL;DR: Different discrimination methods for the classification of tumors based on gene expression data include nearest-neighbor classifiers, linear discriminant analysis, and classification trees, which are applied to datasets from three recently published cancer gene expression studies.
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