scispace - formally typeset
E

Erwin G. Van Meir

Researcher at University of Alabama at Birmingham

Publications -  202
Citations -  39049

Erwin G. Van Meir is an academic researcher from University of Alabama at Birmingham. The author has contributed to research in topics: Glioma & Cancer. The author has an hindex of 75, co-authored 183 publications receiving 32866 citations. Previous affiliations of Erwin G. Van Meir include Emory University & University Hospital of Lausanne.

Papers
More filters
Journal ArticleDOI

Comprehensive genomic characterization defines human glioblastoma genes and core pathways

Roger E. McLendon, +233 more
- 23 Oct 2008 - 
TL;DR: The interim integrative analysis of DNA copy number, gene expression and DNA methylation aberrations in 206 glioblastomas reveals a link between MGMT promoter methylation and a hypermutator phenotype consequent to mismatch repair deficiency in treated gliobeasts, demonstrating that it can rapidly expand knowledge of the molecular basis of cancer.
Journal ArticleDOI

The Somatic Genomic Landscape of Glioblastoma

Cameron Brennan, +57 more
- 10 Oct 2013 - 
TL;DR: Correlative analyses confirm that the survival advantage of the proneural subtype is conferred by the G-CIMP phenotype, and MGMT DNA methylation may be a predictive biomarker for treatment response only in classical subtype GBM.
Journal ArticleDOI

Comprehensive, Integrative Genomic Analysis of Diffuse Lower-Grade Gliomas.

Daniel J. Brat, +306 more
TL;DR: The integration of genomewide data from multiple platforms delineated three molecular classes of lower-grade gliomas that were more concordant with IDH, 1p/19q, and TP53 status than with histologic class.
Journal ArticleDOI

Pan-cancer analysis of whole genomes

Peter J. Campbell, +1332 more
- 06 Feb 2020 - 
TL;DR: The flagship paper of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium describes the generation of the integrative analyses of 2,658 whole-cancer genomes and their matching normal tissues across 38 tumour types, the structures for international data sharing and standardized analyses, and the main scientific findings from across the consortium studies.