Genomic landscape and immunological profile of glioblastoma in East Asian patients.

东亚胶质母细胞瘤患者的基因组图谱和免疫学特征

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作者:Zhong Sheng, Wu Bo, Dubois Frank, Deng Davy, Bergholz Johann S, Hu Wanming, Duan Hao, Shao Yujie, Liu Jingyi, Liu Luwei, Chen Sitong, Hu Yongfei, Zhao Zheng, Yao Maojin, Sai Ke, Wang Jian, Chen Yinsheng, Ke Chao, Zhang Xiangheng, Yang Qunying, Guo Chengcheng, Zhang Ji, Lin Fuhua, Chen Zhenghe, Li Deipei, He Zhenqiang, Li Chang, Jiang Xiaobing, Lu Jie, Yang Wenzhuo, Jiang Tao, Chen Zhongping, Beroukhim Rameen, Zhao Jean J, Mou Yonggao
Glioblastoma multiforme (GBM) shows profound inter- and intratumoral heterogeneity, but differences across ancestries remain understudied. We assemble the largest cohort of GBMs from East Asian patients (EAS-GBM) and perform genomic and transcriptomic analyses. Transcriptomic clustering reveals distinct EAS-GBM molecular subtypes-proliferative (PL), neurosynaptic (NS), metabolic (MB), and immunomodulatory (IM)-based on activated biological pathways. We also identify protein markers enabling subtype classification in pathology. Comparative analysis with the predominantly European-ancestry The Cancer Genome Atlas (TCGA) GBM dataset (EUR-GBM) reveals similar main drivers, though EAS-GBMs lack the epidermal growth factor receptor (EGFR)-defined classical EUR-GBM subtype. EAS PL-GBMs display CCNE1/CCND2 overexpression, with myelocytomatosis viral oncogene (MYC) signaling activation. The IM-GBM cluster exhibits an immunotherapy-responsive expression profile, corroborated by improved overall survival under immune checkpoint blockade in an external dataset. Together, our data reveal distinctive genomic features of EAS-GBMs that may inform patient stratification for targeted therapy and drug development tailored to the EAS population.

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