Whole-genome sequencing of 508 patients identifies key molecular features associated with poor prognosis in esophageal squamous cell carcinoma

Esophageal squamous cell carcinoma (ESCC) is a poor-prognosis cancer type with limited understanding of its molecular etiology. Using 508 ESCC genomes, we identified five novel significantly mutated genes and uncovered mutational signature clusters associated with metastasis and patients’ outcomes....

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Veröffentlicht in:Cell research 2020-10, Vol.30 (10), p.902-913
Hauptverfasser: Cui, Yongping, Chen, Hongyan, Xi, Ruibin, Cui, Heyang, Zhao, Yahui, Xu, Enwei, Yan, Ting, Lu, Xiaomei, Huang, Furong, Kong, Pengzhou, Li, Yang, Zhu, Xiaolin, Wang, Jiawei, Zhu, Wenjie, Wang, Jie, Ma, Yanchun, Zhou, Yong, Guo, Shiping, Zhang, Ling, Liu, Yiqian, Wang, Bin, Xi, Yanfeng, Sun, Ruifang, Yu, Xiao, Zhai, Yuanfang, Wang, Fang, Yang, Jian, Yang, Bin, Cheng, Caixia, Liu, Jing, Song, Bin, Li, Hongyi, Wang, Yi, Zhang, Yingchun, Cheng, Xiaolong, Zhan, Qimin, Li, Yanhong, Liu, Zhihua
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Sprache:eng
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Zusammenfassung:Esophageal squamous cell carcinoma (ESCC) is a poor-prognosis cancer type with limited understanding of its molecular etiology. Using 508 ESCC genomes, we identified five novel significantly mutated genes and uncovered mutational signature clusters associated with metastasis and patients’ outcomes. Several functional assays implicated that NFE2L2 may act as a tumor suppressor in ESCC and that mutations in NFE2L2 probably impaired its tumor-suppressive function, or even conferred oncogenic activities. Additionally, we found that the NFE2L2 mutations were significantly associated with worse prognosis of ESCC. We also identified potential noncoding driver mutations including hotspot mutations in the promoter region of SLC35E2 that were correlated with worse survival. Approximately 5.9% and 15.2% of patients had high tumor mutation burden or actionable mutations, respectively, and may benefit from immunotherapy or targeted therapies. We found clinically relevant coding and noncoding genomic alterations and revealed three major subtypes that robustly predicted patients’ outcomes. Collectively, we report the largest dataset of genomic profiling of ESCC useful for developing ESCC-specific biomarkers for diagnosis and treatment.
ISSN:1001-0602
1748-7838
DOI:10.1038/s41422-020-0333-6