Journal of International Oncology ›› 2020, Vol. 47 ›› Issue (8): 487-491.doi: 10.3760/cma.j.cn371439-20191105-00062

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Research progress in predictive biomarkers related to tumor immunotherapy

Zhang Min, Zhou Lina, Xu Shanshan, Chen Jun()   

  1. Department of Oncology, Second Hospital of Dalian Medical University, Dalian 116000, China
  • Received:2019-11-05 Revised:2020-03-11 Online:2020-08-08 Published:2020-10-22
  • Contact: Chen Jun E-mail:chenjundl@vip.sina.com
  • Supported by:
    CSCO-Junshi Tumor Immunotherapy Clinical Research Fund(Y-JS2019-034)

Abstract:

Tumor immunotherapy is a treatment method mainly for programmed cell death-1 (PD-1) and its ligand PD-L1. PD-1/PD-L1 inhibitors have obvious clinical benefits and long-lasting responses in a variety of tumors. But overall response rates are still low. Studies show that PD-L1 and tumor mutation burden can predict the effect of immunotherapy. MSI-H/dMMR, TP53 and KRAS mutations are positively correlated with the effect of immunotherapy. While MDM2/4, EGFR, ALK and other genes are negatively correlated with the effect of immunotherapy.

Key words: Neoplasms, Immunotherapy, Biomarkers