Biomarkers for predicting efficacy of PD-1/PD-L1 inhibitors

被引:606
作者
Yi, Ming [1 ]
Jiao, Dechao [2 ]
Xu, Hanxiao [1 ]
Liu, Qian [1 ]
Zhao, Weiheng [1 ]
Han, Xinwei [2 ]
Wu, Kongming [1 ]
机构
[1] Huazhong Univ Sci & Technol, Tongji Med Coll, Tongji Hosp, Dept Oncol, Wuhan 430030, Hubei, Peoples R China
[2] Zhengzhou Univ, Affiliated Hosp 1, Dept Intervent Radiol, Zhengzhou 450052, Henan, Peoples R China
来源
MOLECULAR CANCER | 2018年 / 17卷
基金
国家高技术研究发展计划(863计划); 中国国家自然科学基金;
关键词
PD-1/PD-L1; inhibitors; Predictive biomarkers; Tumor mutational burden; Microsatellite instability; Gut microbiota; Peripheral biomarker; CELL LUNG-CANCER; DEATH-LIGAND; METASTATIC UROTHELIAL CARCINOMA; IMMUNE CHECKPOINT INHIBITORS; MISMATCH REPAIR DEFICIENCY; CISPLATIN-INELIGIBLE PATIENTS; RANDOMIZED CONTROLLED-TRIAL; TUMOR MUTATIONAL BURDEN; RECEPTOR-T-CELLS; PD-L1; EXPRESSION;
D O I
10.1186/s12943-018-0864-3
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Programmed cell death protein 1/programmed cell death ligand 1 (PD-1/PD-L1) is a negative modulatory signaling pathway for activation of T cell. It is acknowledged that PD-1/PD-L1 axis plays a crucial role in the progression of tumor by altering status of immune surveillance. As one of the most promising immune therapy strategies, PD-1/PD-L1 inhibitor is a breakthrough for the therapy of some refractory tumors. However, response rate of PD-1/PD-L1 inhibitors in overall patients is unsatisfactory, which limits the application in clinical practice. Therefore, biomarkers which could effectively predict the efficacy of PD-1/PD-L1 inhibitors are crucial for patient selection. Biomarkers reflecting tumor immune microenvironment and tumor cell intrinsic features, such as PD-L1 expression, density of tumor infiltrating lymphocyte (TIL), tumor mutational burden, and mismatch-repair (MMR) deficiency, have been noticed to associate with treatment effect of anti-PD-1/anti-PD-L1 therapy. Furthermore, gut microbiota, circulating biomarkers, and patient previous history have been found as valuable predictors as well. Therefore establishing a comprehensive assessment framework involving multiple biomarkers would be meaningful to interrogate tumor immune landscape and select sensitive patients.
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页数:14
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