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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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Characterization of candidate gene copy number alterations in the 11q13 region along with BRAF and NRAS mutations in human melanoma.

TL;DR: It is assumed that coamplification of these candidate genes in the 11q13 region or CCND1 gene alterations along with either BRAF or NRAS mutations might be more important for prognosis than the presence of these alterations alone.
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Polymorphisms in nevus-associated genes MTAP, PLA2G6, and IRF4 and the risk of invasive cutaneous melanoma.

TL;DR: The results suggest that the relationship between MTAP and melanoma is subtype-specific, and that the association between IRF4 and melanomas is more evident for cases with a younger age at onset, and lend some support to the ‘divergent pathways’ hypothesis.
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Distinct subclonal tumour responses to therapy revealed by circulating cell-free DNA.

TL;DR: Next-generation sequencing of cfDNA is used to monitor therapy responses of a metastatic vaginal mucosal melanoma and shows that cfDNA can be used tomonitor tumour evolution and subclonal responses to therapy even when biopsies are not available.
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Personalized Clinical Trials in Hepatocellular Carcinoma Based on Biomarker Selection.

TL;DR: Clinical development of new agents in HCC will need to be targeted towards those patients who are most likely to benefit, and based on biomarkers for patient selection, this strategy is more likely to yield positive results and mitigate the risk of continued negative Phase III studies.
Journal ArticleDOI

Regulation of NR4A nuclear receptor expression by oncogenic BRAF in melanoma cells.

TL;DR: In this article, the BRAF-MEK-ERK cascade was used to detect mutations in the MAPK pathway effectors, NRAS or BRAF, which are detected in over 70% of melanoma cells.
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.
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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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