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

Author

Listed:
  • Zhu Han

    (Sichuan University)

  • Weizhi Zhang

    (Huazhong University of Science and Technology)

  • Wanshan Ning

    (Huazhong University of Science and Technology)

  • Chenwei Wang

    (Huazhong University of Science and Technology)

  • Wankun Deng

    (Huazhong University of Science and Technology)

  • Zhidan Li

    (Sichuan University)

  • Zehua Shang

    (Sichuan University)

  • Xiaofei Shen

    (Hospital of Chengdu University of Traditional Chinese Medicine)

  • Xiaohui Liu

    (Tsinghua University)

  • Otto Baba

    (Tokushima University Graduate School)

  • Tsuyoshi Morita

    (Tokushima University Graduate School)

  • Lu Chen

    (Sichuan University)

  • Yu Xue

    (Huazhong University of Science and Technology
    Nanjing University Institute of Artificial Intelligence Biomedicine)

  • Da Jia

    (Sichuan University)

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.

Suggested Citation

  • Zhu Han & Weizhi Zhang & Wanshan Ning & Chenwei Wang & Wankun Deng & Zhidan Li & Zehua Shang & Xiaofei Shen & Xiaohui Liu & Otto Baba & Tsuyoshi Morita & Lu Chen & Yu Xue & Da Jia, 2021. "Model-based analysis uncovers mutations altering autophagy selectivity in human cancer," Nature Communications, Nature, vol. 12(1), pages 1-18, December.
  • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-23539-5
    DOI: 10.1038/s41467-021-23539-5
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    Cited by:

    1. Zehua Shang & Sitao Zhang & Jinrui Wang & Lili Zhou & Xinyue Zhang & Daniel D. Billadeau & Peiguo Yang & Lingqiang Zhang & Fangfang Zhou & Peng Bai & Da Jia, 2024. "TRIM25 predominately associates with anti-viral stress granules," Nature Communications, Nature, vol. 15(1), pages 1-17, December.

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