Somatic mutations of the BRAF gene are common in melanomas and nevi but the contribution of polymorphisms in this gene to melanoma or nevus susceptibility remains unclear. An Australian melanoma case-control sample was typed for 16 single nucleotide polymorphisms (SNP) within the BRAF gene, and five SNP in three neighboring genes. The sample comprised 755 melanoma cases from 740 families stratified by family history of melanoma and controls from 635 unselected twin families (2,239 individuals). Ancestry of the cases and controls was recorded, and the twins had undergone skin examination to assess total body nevus count, degree of freckling, and pigmentation phenotype. Genotyping was carried out via primer extension followed by matrix-assisted laser desorption ionization-time of flight mass spectrometry. SNP in the BRAF gene were found to be weakly associated with melanoma status but not with development of nevi or freckles. The estimated proportion of attributable risk of melanoma due to variants in BRAF is 1.6%. This study shows that BRAF polymorphisms predispose to melanoma but the causal variant has yet to be determined. The burden of disease associated with this variant is greater than that associated with the major melanoma susceptibility locus CDKN2A, which has an estimated attributable risk of 0.2%.

Download full-text PDF

Source
http://dx.doi.org/10.1111/j.0022-202X.2005.23937.xDOI Listing

Publication Analysis

Top Keywords

braf gene
12
braf polymorphisms
8
melanoma
8
snp braf
8
attributable risk
8
braf
6
polymorphisms risk
4
risk melanocytic
4
melanocytic neoplasia
4
neoplasia somatic
4

Similar Publications

Background: Major mutations (e.g., KRAS, GNAS, TP53, SMAD4) in pancreatic cyst fluid (PCF) are useful for classifying and risk stratifying certain cyst types, particularly in cases with nondiagnostic cytology.

View Article and Find Full Text PDF

To investigate the expression pattern of pan-TRK protein in colorectal cancers with NTRK gene fusion and mismatch repair deficient (dMMR) and to analyze its molecular pathological characteristics. A total of 117 dMMR colorectal cancers diagnosed in the Department of Pathology of Henan Provincial People's Hospital, Zhengzhou, China from 2020 to 2023 were collected. Immunohistochemistry (IHC), fluorescence in situ hybridization (FISH) and DNA/RNA-based next-generation sequencing (NGS) were used to detect pan-TRK protein expression and fusion partner genes in tumors, and to further explore the correlation between pan-TRK staining patterns and partner genes.

View Article and Find Full Text PDF

Irisin is a newly discovered 12 kDa messenger protein involved in energy metabolism. Irisin affects signaling pathways in several types of cancer; however, the role of irisin in metastatic melanoma (MM) has not been described yet. We explored the biological effects of irisin in in vitro models of MM cells (HBL, LND1, Hmel1 and M3) capable of the oncogenic activation of BRAF.

View Article and Find Full Text PDF

The expression level of Programmed Death-Ligand 1 (PD-L1) determined by the immunohistochemical method is currently approved to test the potential efficacy of immune-checkpoint inhibitors and to candidate patients with Non-Small Cell Lung Cancer (NSCLC) for treatment with immunotherapeutic drugs. As part of the CORELAB (New prediCtivebiOmaRkers of activity and Efficacy of immune checkpoint inhibitors in advanced non-small cell Lung cArcinoma) project, aimed at identifying new predictive and prognostic biomarkers in NSCLC patients receiving immunotherapeutic drugs, we investigated the role of circulating tumor DNA (ctDNA) molecular characterization as an additional predictive biomarker. We analyzed plasma ctDNA by targeted Next Generation Sequencing in a subset of 50 patients at different time points.

View Article and Find Full Text PDF

Necroptosis-Related Gene Signature Predicts Prognosis in Patients with Advanced Ovarian Cancer.

Cancers (Basel)

January 2025

Department of Obstetrics and Gynecology, University Hospital, LMU Munich, Marchioninistrasse 15, 81377 Munich, Germany.

This study aimed to construct a risk score (RS) based on necroptosis-associated genes to predict the prognosis of patients with advanced epithelial ovarian cancer (EOC). EOC data from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) series 140082 (GSE140082) were used. Based on known necroptosis-associated genes, clustering was performed to identify molecular subtypes of EOC.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!