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非小细胞肺癌中抗PD-1/PD-L1治疗的预测生物标志物。

Predictive biomarkers of anti-PD-1/PD-L1 therapy in NSCLC.

作者信息

Niu Mengke, Yi Ming, Li Ning, Luo Suxia, Wu Kongming

机构信息

Department of Medical Oncology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, 450008, China.

Department of Oncology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.

出版信息

Exp Hematol Oncol. 2021 Mar 2;10(1):18. doi: 10.1186/s40164-021-00211-8.

Abstract

Immunotherapy, especially anti-programmed cell death protein 1/programmed cell death ligand 1 (PD-1/PD-L1) treatment has significantly improved the survival of non-small cell lung cancer (NSCLC) patients. However, the overall response rate remains unsatisfactory. Many factors affect the outcome of anti-PD-1/PD-L1 treatment, such as PD-L1 expression level, tumor-infiltrating lymphocytes (TILs), tumor mutation burden (TMB), neoantigens, and driver gene mutations. Further exploration of biomarkers would be favorable for the best selection of patients and precisely predict the efficacy of anti-PD-1/PD-L1 treatment. In this review, we summarized the latest advances in this field, and discussed the potential applications of these laboratory findings in the clinic.

摘要

免疫疗法,尤其是抗程序性细胞死亡蛋白1/程序性细胞死亡配体1(PD-1/PD-L1)治疗,显著提高了非小细胞肺癌(NSCLC)患者的生存率。然而,总体缓解率仍不尽人意。许多因素影响抗PD-1/PD-L1治疗的结果,如PD-L1表达水平、肿瘤浸润淋巴细胞(TILs)、肿瘤突变负荷(TMB)、新抗原和驱动基因突变。进一步探索生物标志物将有助于最佳地选择患者,并准确预测抗PD-1/PD-L1治疗的疗效。在本综述中,我们总结了该领域的最新进展,并讨论了这些实验室研究结果在临床中的潜在应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/086e/7923338/ed0717947801/40164_2021_211_Fig1_HTML.jpg

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