Molecular classification of gliomas based on whole genome gene expression: a systematic report of 225 samples from the Chinese Glioma Cooperative Group.

Defining glioma subtypes based on objective genetic and molecular signatures may allow for a more rational, patient-specific approach to molecularly targeted therapy. However, prior studies attempting to classify glioma subtypes have given conflicting results. We aim to complement and validate the existing molecular classification system on a large number of samples from an East Asian population. A total of 225 samples from Chinese patients was selected for whole genome gene expression profiling. Consensus clustering was applied. Three major groups of gliomas were identified (referred to as G1, G2, and G3). The G1 subgroup correlates with a good clinical outcome, young age, and extremely high frequency of IDH1 mutations. Relative to the G1 subgroup, the G3 subgroup is correlated with a poorer clinical outcome, older age, and a very low rate of mutations in the IDH1 gene. Correlations of the G2 subgroup with respect to clinical outcome, age, and IDH1 mutation fall between the G1 and G3 subgroups. In addition, the G2 subtype was associated with a higher percentage of loss of 1p/19q when compared with G1 and G3 subtypes. Furthermore, our classification scheme was validated on 2 independent datasets derived from the cancer genome atlas (TCGA) and Rembrandt. With use of the TCGA classification system, proneural, neural, and mesenchymal, but not classical subtype, associated gene signatures were clearly defined. In summary, our results reveal that 3 main subtypes stably exist in Chinese patients with glioma. Our classification scheme may reflect the clinical and genetic alterations more clearly. Classical subtype-associated gene signature was not found in our dataset.

[1]  C. Brennan Genomic Profiles of Glioma , 2011, Current neurology and neuroscience reports.

[2]  N. Hashimoto,et al.  Gene Expression-Based Molecular Diagnostic System for Malignant Gliomas Is Superior to Histological Diagnosis , 2007, Clinical Cancer Research.

[3]  Andrew D Norden,et al.  Therapeutic strategies for inhibiting invasion in glioblastoma , 2009, Expert review of neurotherapeutics.

[4]  C. Brennan,et al.  Molecular subclassification of diffuse gliomas: Seeing order in the chaos , 2011, Glia.

[5]  Andrey Korshunov,et al.  Analysis of the IDH1 codon 132 mutation in brain tumors , 2008, Acta Neuropathologica.

[6]  Yuri Kotliarov,et al.  Unsupervised analysis of transcriptomic profiles reveals six glioma subtypes. , 2009, Cancer research.

[7]  R. Tibshirani,et al.  Diagnosis of multiple cancer types by shrunken centroids of gene expression , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[8]  Andrew P. Stubbs,et al.  Intrinsic gene expression profiles of gliomas are a better predictor of survival than histology. , 2009, Cancer research.

[9]  Christian Mawrin,et al.  Type and frequency of IDH1 and IDH2 mutations are related to astrocytic and oligodendroglial differentiation and age: a study of 1,010 diffuse gliomas , 2009, Acta Neuropathologica.

[10]  P. Kleihues,et al.  IDH1 mutations are early events in the development of astrocytomas and oligodendrogliomas. , 2009, The American journal of pathology.

[11]  Matthew D. Wilkerson,et al.  ConsensusClusterPlus: a class discovery tool with confidence assessments and item tracking , 2010, Bioinform..

[12]  S. Cannistra,et al.  Gene-expression profiling in epithelial ovarian cancer , 2008, Nature Clinical Practice Oncology.

[13]  S. Gabriel,et al.  Integrated genomic analysis identifies clinically relevant subtypes of glioblastoma characterized by abnormalities in PDGFRA, IDH1, EGFR, and NF1. , 2010, Cancer cell.

[14]  D. Hayes,et al.  Gene expression profiling of gliomas: merging genomic and histopathological classification for personalised therapy , 2010, British Journal of Cancer.

[15]  Thomas D. Wu,et al.  Molecular subclasses of high-grade glioma predict prognosis, delineate a pattern of disease progression, and resemble stages in neurogenesis. , 2006, Cancer cell.

[16]  Y. Wang,et al.  Clinical and molecular genetic factors affecting postoperative seizure control of 183 Chinese adult patients with low‐grade gliomas , 2012, European journal of neurology.

[17]  Zhaoshi Jiang,et al.  Evidence for sequenced molecular evolution of IDH1 mutant glioblastoma from a distinct cell of origin. , 2011, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[18]  K. Aldape,et al.  The Use of Global Profiling in Biomarker Development for Gliomas , 2011, Brain pathology.

[19]  Subha Madhavan,et al.  Rembrandt: Helping Personalized Medicine Become a Reality through Integrative Translational Research , 2009, Molecular Cancer Research.

[20]  Brad T. Sherman,et al.  Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources , 2008, Nature Protocols.

[21]  T. Jiang,et al.  Oncogene addiction in gliomas: Implications for molecular targeted therapy , 2011, Journal of experimental & clinical cancer research : CR.