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An immune checkpoint score system for prognostic evaluation and adjuvant chemotherapy selection in gastric cancer

Author

Listed:
  • Jia-Bin Wang

    (Fujian Medical University Union Hospital
    Fujian Medical University
    Fujian Medical University)

  • Ping Li

    (Fujian Medical University Union Hospital
    Fujian Medical University
    Fujian Medical University)

  • Xiao-Long Liu

    (The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province)

  • Qiao-Ling Zheng

    (Fujian Medical University Union Hospital)

  • Yu-Bin Ma

    (The Affiliated Hospital of Qinghai University)

  • Ya-Jun Zhao

    (The First Affiliated Hospital of USTC, University of Science and Technology of China)

  • Jian-Wei Xie

    (Fujian Medical University Union Hospital
    Fujian Medical University
    Fujian Medical University)

  • Jian-Xian Lin

    (Fujian Medical University Union Hospital
    Fujian Medical University
    Fujian Medical University)

  • Jun Lu

    (Fujian Medical University Union Hospital
    Fujian Medical University
    Fujian Medical University)

  • Qi-Yue Chen

    (Fujian Medical University Union Hospital
    Fujian Medical University
    Fujian Medical University)

  • Long-Long Cao

    (Fujian Medical University Union Hospital
    Fujian Medical University
    Fujian Medical University)

  • Mi Lin

    (Fujian Medical University Union Hospital
    Fujian Medical University
    Fujian Medical University)

  • Li-Chao Liu

    (Fujian Medical University Union Hospital
    Fujian Medical University
    Fujian Medical University)

  • Ning-Zi Lian

    (Fujian Medical University Union Hospital
    Fujian Medical University
    Fujian Medical University)

  • Ying-Hong Yang

    (Fujian Medical University Union Hospital)

  • Chang-Ming Huang

    (Fujian Medical University Union Hospital
    Fujian Medical University
    Fujian Medical University)

  • Chao-Hui Zheng

    (Fujian Medical University Union Hospital
    Fujian Medical University
    Fujian Medical University)

Abstract

Immunosuppressive molecules are extremely valuable prognostic biomarkers across different cancer types. However, the diversity of different immunosuppressive molecules makes it very difficult to accurately predict clinical outcomes based only on a single immunosuppressive molecule. Here, we establish a comprehensive immune scoring system (ISSGC) based on 6 immunosuppressive ligands (NECTIN2, CEACAM1, HMGB1, SIGLEC6, CD44, and CD155) using the LASSO method to improve prognostic accuracy and provide an additional selection strategy for adjuvant chemotherapy of gastric cancer (GC). The results show that ISSGC is an independent prognostic factor and a supplement of TNM stage for GC patients, and it can improve their prognosis prediction accuracy; in addition, it can distinguish GC patients with better prognosis from those with high prognostic nutritional index score; furthermore, ISSGC can also be used as a tool to select GC patients who would benefit from adjuvant chemotherapy independent of their TNM stages, MSI status and EBV status.

Suggested Citation

  • Jia-Bin Wang & Ping Li & Xiao-Long Liu & Qiao-Ling Zheng & Yu-Bin Ma & Ya-Jun Zhao & Jian-Wei Xie & Jian-Xian Lin & Jun Lu & Qi-Yue Chen & Long-Long Cao & Mi Lin & Li-Chao Liu & Ning-Zi Lian & Ying-Ho, 2020. "An immune checkpoint score system for prognostic evaluation and adjuvant chemotherapy selection in gastric cancer," Nature Communications, Nature, vol. 11(1), pages 1-14, December.
    • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-20260-7
    DOI: 10.1038/s41467-020-20260-7
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    Cited by:

    1. Yuedong Guo & Qunqun Bao & Ping Hu & Jianlin Shi, 2023. "Nanomedicine-based co-delivery of a calcium channel inhibitor and a small molecule targeting CD47 for lung cancer immunotherapy," Nature Communications, Nature, vol. 14(1), pages 1-20, December.

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