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Model-based analysis uncovers mutations altering autophagy selectivity in human cancer

Authors :
Da Jia
Zehua Shang
Chenwei Wang
Tsuyoshi Morita
Lu Chen
Zhu Han
Zhidan Li
Yu Xue
Xiaohui Liu
Otto Baba
Wankun Deng
Weizhi Zhang
Wanshan Ning
Xiaofei Shen
Source :
Nature Communications, Nature Communications, Vol 12, Iss 1, Pp 1-18 (2021)
Publication Year :
2021
Publisher :
Nature Publishing Group UK, 2021.

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.<br />Although autophagy has been linked to tumourigenesis, it is unclear how genomic alterations affect autophagy selectivity in tumours. Here, the authors establish a pipeline that integrates computational and experimental approaches to show that altered autophagy selectivity is frequent in cancer cells and link glycogen autophagy with tumourigenesis.

Details

Language :
English
ISSN :
20411723
Volume :
12
Database :
OpenAIRE
Journal :
Nature Communications
Accession number :
edsair.doi.dedup.....4d053decd5d0d57ac1ccb193aee70458