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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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Sun Exposure, Sunbeds and Sunscreens and Melanoma. What Are the Controversies?

TL;DR: It is apparent that melanomas have different somatic changes according to body sites/histological subtypes and that UV exposure may be relevant for some but not all types of melanomas and it is still prudent to avoid excessive sun exposure and sunburn especially in poor tanners.
Journal ArticleDOI

Sorafenib in non-small cell lung cancer

TL;DR: It is very likely that only a subset of NSCLC patients will benefit from sorafenib, and so it is imperative to discover biomarkers to select patients who will probably benefit from it, and to combine with other agents targeting parallel and compensatory pathways, such as EGFR inhibitors.
Journal ArticleDOI

Histologic and epidemiologic correlates of P-MAPK, Brn-2, pRb, p53, and p16 immunostaining in cutaneous melanomas.

TL;DR: The hypothesis that molecular profiles of melanoma reflect their histologic and epidemiologic characteristics, offering further evidence of more than one melanoma causal pathway is supported.

Histologic and epidemiologic correlates of P-MAPK, Brn-2, pRb, p53, and p16 immunostaining in cutaneous melanomas

TL;DR: In this article, the expression of key melanoma-related proteins according to histologic characteristics of the tumors and epidemiologic risk factors among a sample of 129 patients newly diagnosed with melanoma.
Journal ArticleDOI

Prognostic and Clinicopathologic Associations of BRAF Mutation in Primary Acral Lentiginous Melanoma in Korean Patients: A Preliminary Study.

TL;DR: In Korean primary ALM, a low frequency of BRAf mutation was shown; and BRAF mutation presented with a favorable prognosis, indicating that other distinctive genetic mechanisms may have more important roles in the development and progression of disease.
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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