Molecular Landscape and Contemporary Prognostic Signatures of Gliomas

Author:

Ghosh Hia S.,Patel Ruchit V.ORCID,Woodward Eleanor,Greenwald Noah F.,Bhave Varun M.,Maury Eduardo A.ORCID,Cello Gregory,Hoffman Samantha E.,Li Yvonne,Gupta Hersh,Spurr Liam F.,Vogelzang Jayne,Touat Mehdi,Dubois Frank,Cherniack Andrew D.,Guo Xiaopeng,Tavakol Sherwin,Cioffi Gino,Lindeman Neal I.,Ligon Azra H.,Chiocca E. Antonio,Reardon David A.,Wen Patrick Y.,Meredith David,Santagata Sandro,Barnholtz-Sloan Jill S.,Ligon Keith L.,Beroukhim Rameen,Bi Wenya Linda

Abstract

AbstractMolecularly-driven treatments are expanding options for patients with gliomas, driving a need for molecularly-informed prognostic information. To characterize the genomic landscape and contemporary outcomes of gliomas, we analyzed 4,400 gliomas from multi-institutional datasets and The Cancer Genome Atlas (TCGA): 2,195 glioblastoma, 1,198IDH1/2-mutant astrocytoma, 531 oligodendroglioma, 271 otherIDH1/2-wildtype glioma, and 205 pediatric-type glioma. Molecular classification updated 27.4% of gliomas from their original histopathologic diagnosis. Canonical alterations helped categorize glioma subtypes, revealing mutually exclusive alterations within tumorigenic pathways. Across each glioma subtype, non-TCGA patients had longer survival compared to TCGA patients. Several novel prognostic alterations emerged, includingNF1alteration and 21q loss in glioblastoma, andEGFRamplification and 22q loss inIDH1/2-mutant astrocytoma. Certain prognostic features varied across age, with decreasing prevalence ofIDH1/2-mutation over time whileMGMT-methylation remained steady. Our findings provide a framework for further exploration and validation of glioma prognostic indicators in clinically representative cohorts and trials.

Publisher

Cold Spring Harbor Laboratory

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