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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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Treating cancer with selective CDK4/6 inhibitors

TL;DR: Results of pivotal phase III trials investigating palbociclib in patients with advanced-stage oestrogen receptor (ER)-positive breast cancer have demonstrated a substantial improvement in progression-free survival, with a well-tolerated toxicity profile.
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KIT as a therapeutic target in metastatic melanoma

TL;DR: Among patients with advanced melanoma harboring KIT alterations, treatment with imatinib mesylate results in significant clinical responses in a subset of patients, indicating positive selection for the mutated allele.
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Melanoma genome sequencing reveals frequent PREX2 mutations

TL;DR: A wide range of point mutation rates was observed: lowest in melanomas whose primaries arose on non-ultraviolet-exposed hairless skin of the extremities (3 and 14 per megabase (Mb) of genome, intermediate in those originating from hair-bearing skin on the trunk (5-55 per Mb), and highest in a patient with a documented history of chronic sun exposure (111 per Mb).
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Oncogenic BRAF Regulates Oxidative Metabolism via PGC1α and MITF

TL;DR: It is shown that BRAF inhibition also induces an oxidative phosphorylation gene program, mitochondrial biogenesis, and the increased expression of the mitochondrial master regulator, PGC1α, and a target of BRAF, the melanocyte lineage factor MITF, directly regulates the expression of P GC1α.
Journal ArticleDOI

In vivo Switching of Human Melanoma Cells between Proliferative and Invasive States

TL;DR: A new model for melanoma progression is presented that accounts for transcription signature plasticity and provides a more rational context for explaining observed melanoma biology, and challenge previous models of melan cancer progression that evoke one-way changes in gene expression.
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.
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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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