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Identification of predictors of drug sensitivity using patient-derived models of esophageal squamous cell carcinoma

Author

Listed:
  • Dan Su

    (Chinese Academy of Sciences
    Cancer Hospital of the University of Chinese Academy of Sciences
    Zhejiang Cancer Hospital)

  • Dadong Zhang

    (3D Medicines Inc.)

  • Jiaoyue Jin

    (Cancer Hospital of the University of Chinese Academy of Sciences
    Zhejiang Cancer Hospital)

  • Lisha Ying

    (Chinese Academy of Sciences
    Zhejiang Cancer Hospital
    Cancer Hospital of the University of Chinese Academy of Sciences)

  • Miao Han

    (3D Medicines Inc.)

  • Kaiyan Chen

    (Cancer Hospital of the University of Chinese Academy of Sciences)

  • Bin Li

    (3D Medicines Inc.)

  • Junzhou Wu

    (Chinese Academy of Sciences
    Zhejiang Cancer Hospital
    Cancer Hospital of the University of Chinese Academy of Sciences)

  • Zhenghua Xie

    (3D Medicines Inc.)

  • Fanrong Zhang

    (Cancer Hospital of the University of Chinese Academy of Sciences)

  • Yihui Lin

    (3D Medicines Inc.)

  • Guoping Cheng

    (Cancer Hospital of the University of Chinese Academy of Sciences)

  • Jing-Yu Li

    (3D Medicines Inc.)

  • Minran Huang

    (Chinese Academy of Sciences
    Zhejiang Cancer Hospital
    Cancer Hospital of the University of Chinese Academy of Sciences)

  • Jinchao Wang

    (3D Medicines Inc.)

  • Kailai Wang

    (Chinese Academy of Sciences)

  • Jianjun Zhang

    (University of Texas MD Anderson Cancer Center
    University of Texas MD Anderson Cancer Center)

  • Fugen Li

    (3D Medicines Inc.)

  • Lei Xiong

    (3D Medicines Inc.)

  • Andrew Futreal

    (University of Texas MD Anderson Cancer Center
    Wellcome Trust Sanger Institute)

  • Weimin Mao

    (Chinese Academy of Sciences
    Zhejiang Cancer Hospital
    Cancer Hospital of the University of Chinese Academy of Sciences)

Abstract

Previous studies from the Cancer Cell Line Encyclopedia (CCLE) project have adopted commercial pan-cancer cell line models to identify drug sensitivity biomarkers. However, drug sensitivity biomarkers in esophageal squamous cell carcinoma (ESCC) have not been widely explored. Here, eight patient-derived cell lines (PDCs) are successfully established from 123 patients with ESCC. The mutation profiling of PDCs can partially recapture the tumor tissue actionable mutations from 161 patients with ESCC. Based on these mutations and relative pathways in eight PDCs, 46 targeted drugs are selected for screening. Interestingly, some drug and biomarker relationships are established that were not discovered in the CCLE project. For example, CDKN2A or CDKN2B loss is significantly associated with the sensitivity of CDK4/6 inhibitors. Furthermore, both PDC xenografts and patient-derived xenografts confirm CDKN2A/2B loss as a biomarker predictive of CDK4/6 inhibitor sensitivity. Collectively, patient-derived models could predict targeted drug sensitivity associated with actionable mutations in ESCC.

Suggested Citation

  • Dan Su & Dadong Zhang & Jiaoyue Jin & Lisha Ying & Miao Han & Kaiyan Chen & Bin Li & Junzhou Wu & Zhenghua Xie & Fanrong Zhang & Yihui Lin & Guoping Cheng & Jing-Yu Li & Minran Huang & Jinchao Wang & , 2019. "Identification of predictors of drug sensitivity using patient-derived models of esophageal squamous cell carcinoma," Nature Communications, Nature, vol. 10(1), pages 1-13, December.
  • Handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-12846-7
    DOI: 10.1038/s41467-019-12846-7
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    Cited by:

    1. Tanaz Sharifnia & Mathias J. Wawer & Amy Goodale & Yenarae Lee & Mariya Kazachkova & Joshua M. Dempster & Sandrine Muller & Joan Levy & Daniel M. Freed & Josh Sommer & Jérémie Kalfon & Francisca Vazqu, 2023. "Mapping the landscape of genetic dependencies in chordoma," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
    2. Yafei Jiang & Jinzeng Wang & Mengxiong Sun & Dongqing Zuo & Hongsheng Wang & Jiakang Shen & Wenyan Jiang & Haoran Mu & Xiaojun Ma & Fei Yin & Jun Lin & Chongren Wang & Shuting Yu & Lu Jiang & Gang Lv , 2022. "Multi-omics analysis identifies osteosarcoma subtypes with distinct prognosis indicating stratified treatment," Nature Communications, Nature, vol. 13(1), pages 1-17, December.

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