Molecular Landscape and Contemporary Prognostic Signatures of Gliomas
Ghosh, H. S.; Patel, R. V.; Woodward, E.; Greenwald, N. F.; Bhave, V. M.; Maury, E. A.; Cello, G.; Hoffman, S. E.; Li, Y.; Gupta, H.; Spurr, L. F.; Vogelzang, J.; Touat, M.; Dubois, F.; Cherniack, A.; Guo, X.; Tavakol, S.; Cioffi, G.; Lindeman, N. I.; Ligon, A. H.; Chiocca, E. A.; Reardon, D. A.; Wen, P. Y.; Meredith, D.; Santagata, S.; Barnholtz-Sloan, J. S.; Ligon, K. L.; Beroukhim, R.; Bi, W. L.
Show abstract
Molecularly-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, 1,198 IDH1/2-mutant astrocytoma, 531 oligodendroglioma, 271 other IDH1/2-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, including NF1 alteration and 21q loss in glioblastoma, and EGFR amplification and 22q loss in IDH1/2-mutant astrocytoma. Certain prognostic features varied across age, with decreasing prevalence of IDH1/2-mutation over time while MGMT-methylation remained steady. Our findings provide a framework for further exploration and validation of glioma prognostic indicators in clinically representative cohorts and trials.
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