Model-based analysis uncovers mutations altering autophagy selectivity in human cancer
Han Zhu, Zhang Weizhi, Ning Wanshan, Wang Chenwei, Deng Wankun, Li Zhidan, Shang Zehua, Shen Xiaofei, Liu Xiaohui, Baba Otto, Morita Tsuyoshi, Chen Lu, Xue Yu, Jia Da
Journal:Nature Communications
IF:14.92
DOI:10.1038/s41467-021-23539-5
PMID:34059679
Published:2021-05-31
research field:肿瘤学分子生物学细胞生物学免疫治疗药学植物生物技术纳米医学
Abstract
Autophagy can selectively target protein aggregates, pathogens, and dysfunctional organelles for the lysosomal degradation. Aberrant regulation of autophagy promotes tumorigenesis, while it is far less clear whether and how tumor-specific alterations result in autophagic aberrance. To form a link between aberrant autophagy selectivity and human cancer, we establish a computational pipeline and prioritize 222 potential LIR (LC3-interacting region) motif-associated mutations (LAMs) in 148 proteins. We validate LAMs in multiple proteins including ATG4B, STBD1, EHMT2 and BRAF that impair their interactions with LC3 and autophagy activities. Using a combination of transcriptomic, metabolomic and additional experimental assays, we show that STBD1, a poorly-characterized protein, inhibits tumor growth via modulating glycogen autophagy, while a patient-derived W203C mutation on LIR abolishes its cancer inhibitory function. This work suggests that altered autophagy selectivity is a frequently-used mechanism by cancer cells to survive during various stresses, and provides a framework to discover additional autophagy-related pathways that influence carcinogenesis.
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