scispace - formally typeset
Open AccessJournal ArticleDOI

Comprehensive genomic characterization defines human glioblastoma genes and core pathways

Roger E. McLendon, +233 more
- 23 Oct 2008 - 
- Vol. 455, Iss: 7216, pp 1061-1068
TLDR
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.
Abstract
Human cancer cells typically harbour multiple chromosomal aberrations, nucleotide substitutions and epigenetic modifications that drive malignant transformation. The Cancer Genome Atlas ( TCGA) pilot project aims to assess the value of large- scale multi- dimensional analysis of these molecular characteristics in human cancer and to provide the data rapidly to the research community. Here we report the interim integrative analysis of DNA copy number, gene expression and DNA methylation aberrations in 206 glioblastomas - the most common type of primary adult brain cancer - and nucleotide sequence aberrations in 91 of the 206 glioblastomas. This analysis provides new insights into the roles of ERBB2, NF1 and TP53, uncovers frequent mutations of the phosphatidylinositol- 3- OH kinase regulatory subunit gene PIK3R1, and provides a network view of the pathways altered in the development of glioblastoma. Furthermore, integration of mutation, DNA methylation and clinical treatment data reveals a link between MGMT promoter methylation and a hypermutator phenotype consequent to mismatch repair deficiency in treated glioblastomas, an observation with potential clinical implications. Together, these findings establish the feasibility and power of TCGA, demonstrating that it can rapidly expand knowledge of the molecular basis of cancer.

read more

Content maybe subject to copyright    Report

Citations
More filters
Journal ArticleDOI

The cBio Cancer Genomics Portal: An Open Platform for Exploring Multidimensional Cancer Genomics Data

TL;DR: The cBio Cancer Genomics Portal significantly lowers the barriers between complex genomic data and cancer researchers who want rapid, intuitive, and high-quality access to molecular profiles and clinical attributes from large-scale cancer genomics projects and empowers researchers to translate these rich data sets into biologic insights and clinical applications.
Journal ArticleDOI

Integrative analysis of complex cancer genomics and clinical profiles using the cBioPortal

TL;DR: A practical guide to the analysis and visualization features of the cBioPortal for Cancer Genomics, which makes complex cancer genomics profiles accessible to researchers and clinicians without requiring bioinformatics expertise, thus facilitating biological discoveries.
Journal ArticleDOI

Integrative genomics viewer

TL;DR: In this article, the authors present an approach for efficient and intuitive visualization tools able to scale to very large data sets and to flexibly integrate multiple data types, including clinical data.
Journal ArticleDOI

Comprehensive molecular portraits of human breast tumours

Daniel C. Koboldt, +355 more
- 04 Oct 2012 - 
TL;DR: The ability to integrate information across platforms provided key insights into previously defined gene expression subtypes and demonstrated the existence of four main breast cancer classes when combining data from five platforms, each of which shows significant molecular heterogeneity.
Journal ArticleDOI

Integrative Genomics Viewer (IGV): high-performance genomics data visualization and exploration

TL;DR: The Integrative Genomics Viewer (IGV) is a high-performance viewer that efficiently handles large heterogeneous data sets, while providing a smooth and intuitive user experience at all levels of genome resolution.
References
More filters
Journal ArticleDOI

Molecular subclasses of high-grade glioma predict prognosis, delineate a pattern of disease progression, and resemble stages in neurogenesis

TL;DR: Previously undescribed prognostic subclasses of high-grade astrocytoma are identified and discovered to resemble stages in neurogenesis, suggesting functional relevance of tumor subtype molecular signatures is suggested by the ability of cell line signatures to predict neurosphere growth.
Journal ArticleDOI

Malignant astrocytic glioma: genetics, biology, and paths to treatment.

TL;DR: The recent confluence of advances in stem cell biology, cell signaling, genome and computational science and genetic model systems have revolutionized understanding of the mechanisms underlying the genetics, biology and clinical behavior of glioblastoma.
Journal ArticleDOI

Tumor stem cells derived from glioblastomas cultured in bFGF and EGF more closely mirror the phenotype and genotype of primary tumors than do serum-cultured cell lines.

TL;DR: Significant phenotypic and genotypic differences are demonstrated between primary human tumor-derived TSCs and their matched glioma cell lines, suggesting that TSC's may be a more reliable model than many commonly utilized cancer cell lines for understanding the biology of primary human tumors.
Related Papers (5)