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German Medical Science
Conference object . 2010
License: CC BY NC ND
Clinical Cancer Research
Article . 2010 . Peer-reviewed
Data sources: Crossref
https://dx.doi.org/10.3205/10d...
Conference object . 2010
Data sources: Datacite
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Genetic Risk Profiles Identify Different Molecular Etiologies for Glioma

Authors: Simon, M; Hosking, FJ; Marie, Y; Gousias, K; Boisselier, B; Carpentier, C; Schramm, J; +8 Authors

Genetic Risk Profiles Identify Different Molecular Etiologies for Glioma

Abstract

Abstract Purpose: Genome-wide association studies have recently identified single-nucleotide polymorphisms (SNP) in five loci at 5p15.33 (rs2736100, TERT), 8q24.21 (rs4295627, CCDC26), 9p21.3 (rs4977756, CDKN2A/CDKN2B), 20q13.33 (rs6010620, RTEL1), and 11q23.3 (rs498872, PHLDB1) to be associated with glioma risk. Because gliomas are heterogeneous in histology, molecular alterations, and clinical behavior, we have investigated these polymorphisms for potential correlations with tumor histology and patient survival. Experimental Design: We studied the relationship between SNPs and glioma subtype in two large patient cohorts from France and Germany, totaling 1,577 patients, as well as the relationship between SNP genotype and overall survival. Results: In both cohorts, the frequencies of rs2736100 and rs6010620 risk genotypes were highly correlated with high-grade disease (P < 0.001), whereas rs4295627 and rs498872 risk genotypes were inversely related to tumor grade (P < 0.001). These data show that genetic variations at these loci have subtype-specific effects on the risk of developing glioma. In contrast, the rs4977756 genotype was not correlated with tumor grade, consistent with the causal variant having a generic influence on glioma development. None of the five SNPs was associated with prognosis independent of tumor grade. Conclusions: Our findings provide novel insight into etiologic pathways in the different glioma subtypes. Clin Cancer Res; 16(21); 5252–9. ©2010 AACR.

Keywords

Adult, Male, Risk, Genotype, Brain Neoplasms, Gene Expression Profiling, Glioma, Middle Aged, 610 Medical sciences; Medicine, Polymorphism, Single Nucleotide, Survival Analysis, Cohort Studies, Young Adult, ddc: 610, Gene Frequency, Humans, Female, Genetic Predisposition to Disease

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
52
Top 10%
Top 10%
Top 10%
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bronze
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