Abstract

Abstract While it is well known that Glioblastoma (GBM) shows profound inter- and intra-tumoral heterogeneity, the ancestry disparities among races have been largely overlooked. By comparing the predominantly caucasian TCGA GBM dataset (EUR, n=383) with a large genomic and transcriptomic East Asian GBM dataset (EAS, n=443), we identified numerous significant differences between EAS-GBM and EUR-GBM. Transcriptomic clustering also established a novel EAS-GBM molecular classification system and the discovery of a new EAS-specific GBM subtype. We characterized each subtype comprehensively including genomic alterations, immune profile and TCR/BCR repertoire analysis. This study elucidates important ancestry-dependent biological and molecular differences between GBMs and proposes a new transcriptome-based EAS-GBM classification. Understanding these unique features contribute to a more comprehensive characterization of the heterogeneity in GBM patients and could facilitate more careful patient stratification during targeted therapy and drug development. Citation Format: Davy Deng. Genomic landscape and immunological profile of glioblastoma in East Asians [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 2294.

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