机构:[1]Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China.首都医科大学附属北京同仁医院首都医科大学附属同仁医院[2]Department of Hematology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China.临床科室血液内科首都医科大学附属北京同仁医院首都医科大学附属同仁医院[3]Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University & Capital Medical University, Beijing Tongren Hospital, Beijing 100730, China.首都医科大学附属北京同仁医院首都医科大学附属同仁医院
Immune checkpoint blockade has vastly changed the landscape of cancer treatment and showed a promising prognosis for cancer patients. However, there is still a large portion of patients who have no response to this therapy. Therefore, it's essential to investigate biomarkers to predict the efficacy of immune checkpoint inhibitors. This article summarizes the predictive value of established biomarkers, including programmed cell death ligand 1(PD-L1) expression level, tumor mutational burden, tumor-infiltrating lymphocytes, and mismatch repair deficiency. It also addresses the predictive value of tumorous mutations, circulation factors, immune-related factors, and gut microbiome with immunotherapy treatment. Furthermore, some of the emerging novel biomarkers, and potential markers for hyper progressive disease are discussed, which should be validated in clinical trials in the future.
基金:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [81873450, 82170181]; Open Research Fund from Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beijing Tongren Hospital, Beihang University; Capital Medical University [BHTR-KFJJ-202009]; Beijing Municipal Administration of Hospitals' Youth Programme [yQMS20200201]
第一作者机构:[1]Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China.
共同第一作者:
通讯作者:
通讯机构:[2]Department of Hematology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China.[3]Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University & Capital Medical University, Beijing Tongren Hospital, Beijing 100730, China.[*1]Department of Hematology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China[*2]Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University & Capital Medical University, Beijing Tongren Hospital, Beijing 100730, China.
推荐引用方式(GB/T 7714):
Wang Chengji,Wang He-nan,Wang Liang.Biomarkers for predicting the efficacy of immune checkpoint inhibitors[J].JOURNAL OF CANCER.2022,13(2):481-495.doi:10.7150/jca.65012.
APA:
Wang, Chengji,Wang, He-nan&Wang, Liang.(2022).Biomarkers for predicting the efficacy of immune checkpoint inhibitors.JOURNAL OF CANCER,13,(2)
MLA:
Wang, Chengji,et al."Biomarkers for predicting the efficacy of immune checkpoint inhibitors".JOURNAL OF CANCER 13..2(2022):481-495