Chromatin Profiling Of Glioblastoma Tissues Identifies Core Oncogenic Dependency And Therapeutic Opportunities.

Abstract Background: Glioblastoma (GBM) is the most aggressive and therapy-refractory brain tumor in adults. Molecular profiling of GBM on the basis of gene expression, DNA methylation and genomic variations has advanced both cancer research and clinical diagnosis. However, the enhancer architectures and regulatory circuitries governing tumor-intrinsic transcriptional diversity and subtype identity are still elusive. Methods: Chromatin immunoprecipitation followed by sequencing analysis was applied to examine H3K27ac deposition and to map the active regulatory landscapes across 95 GBM biopsies and 12 normal brain tissues. RNA-sequencing analysis was performed to measure transcriptome and to classify transcriptional subtypes. Super-enhancer associated genes and master transcriptional factors were identified. Function of novel cancer associated genes was explored using both patient-derived GBM propagating cells and orthotopic xenograft models. Results: Analyses of differentially regulated enhancers and super-enhancers uncovered previously unrecognized layers of inter-tumor heterogeneity. Integrative analysis of variant enhancer loci and transcriptome identified topographies of transcriptional enhancers and core regulatory circuitries in four molecular subtypes of primary tumors: AC1-mesenchymal, AC1-classical, AC2-proneural and AC3-proneural. Subtype-specific enhancer domains contributed to transcriptional diversity and shaped subtype identity. Moreover, this study reveals novel oncogenic dependency of GBM on various super-enhancer-driven transcriptional factors and druggable targets (e.g., BRD4). Conclusion: Through profiling of transcriptional enhancers, we provide clinically relevant insights into the molecular classification, pathogenesis and therapeutic intervention of GBM. Citation Format: Liang Xu, Ye Chen, Yulun Huang, Edwin Sandanaraj, John S. Yu, Ruby Yu-Tong Lin, Pushkar Dakle, Xin-Yu Ke, Yuk Kien Chong, Lynnette Koh, Anand Mayakonda, Kassoum Nacro, Jeffrey Hill, Mo-Li Huang, Sigal Gery, See Wee Lim, Zhengyun Huang, Ying Xu, Jianxiang Chen, Longchuan Bai, Shaomeng Wang, Hiroaki Wakimoto, Tseng Tsai Yeo, Beng Ti Ang, Markus Müschen, Carol Tang, Tuan Zea Tan, Phillip H. Koeffler. Chromatin profiling of glioblastoma tissues identifies core oncogenic dependency and therapeutic opportunities [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 2123.