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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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Citations
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Journal ArticleDOI

Clinical and epidemiologic profile of melanoma patients according to sun exposure of the tumor site

TL;DR: Clinical and biological characterization is necessary to determine alternative pathways of development in order to establish specific preventive measures for melanoma patients who did not fit these patterns of melanoma development.
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Spitz Nevi, Atypical Spitzoid Neoplasms, and Spitzoid Melanoma.

TL;DR: The clinical and histopathological attributes of Spitz nevi and spitzoid melanoma are reviewed and molecular assessment by way of comparative genomic hybridization or fluorescence in situ hybridization is increasingly used to facilitate assessment of this challenging differential and is especially germane to the evaluation of ambiguous lesions.
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Developments in the Space of New MAPK Pathway Inhibitors for BRAF-Mutant Melanoma.

TL;DR: The characterization of theMAPK signaling pathway has led to the development of multiple promising targeted therapy options for a subset of patients with metastatic melanoma, and further exploration of new targets within the MAPK pathway will strengthen therapeutic options for patients.
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Competitive allele-specific TaqMan PCR (Cast-PCR) is a sensitive, specific and fast method for BRAF V600 mutation detection in Melanoma patients.

TL;DR: The results indicate that Cast-PCR is a reliable diagnostic tool for the identification of melanoma patients as eligible to be treated with TKIs and might be implemented in the clinical setting as elective screening method.
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Melanoma genotypes and phenotypes get personal

TL;DR: What sets melanoma apart from other tumors is described, and how lessons learned in the melanoma clinic are being transferred to many other types of aggressive neoplasms are demonstrated.
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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