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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

KIT Gene Mutations and Patterns of Protein Expression in Mucosal and Acral Melanoma

TL;DR: This case series represents the first Canadian study to characterize KIT gene mutations and patterns of protein expression in acral and mucosal melanoma and showed that 8.6% of mucosal and 4.2% of acral melanoma cases at the authors' institution harbor KIT mutations.
Journal ArticleDOI

The protective effect of coffee consumption on cutaneous melanoma risk and the role of GSTM1 and GSTT1 polymorphisms.

TL;DR: Results show a protective effect of coffee consumption for cutaneous melanoma, in particular for those with homozygous deletion for GSTM1 and GSTT1.
Patent

Diagnosis of melanoma by nucleic acid analysis

TL;DR: In this article, the authors presented methods for diagnosing melanoma in a subject by analyzing nucleic acid molecules obtained from the subject. And they also provided methods for distinguishing melanoma from dysplastic nevi and/or normal pigmented skin.
Journal ArticleDOI

NRAS mutations in primary and metastatic melanomas of Japanese patients

TL;DR: The frequency of NRAS mutations is lower in the Asian population than in Caucasian patients, and the observed heterogeneity of melanoma suggests that genotyping of both primary and metastatic lesions is important to identify candidate patients for molecular-targeted therapies.
Journal ArticleDOI

Identification of ARHGEF17, DENND2D, FGFR3, and RB1 mutations in melanoma by inhibition of nonsense-mediated mRNA decay.

TL;DR: It is concluded that although the false positive rate is high, most likely due to the lack of DNA mismatch repair gene defects, the GINI protocol is one approach to discover novel TSGs in melanoma.
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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