单位:[1]Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong University, Jinan, China[2]Department of Radiation Oncology, China-Japan Friendship Hospital, Beijing, China
Immune checkpoint inhibitors (ICIs), represented by anti-CTLA-4 or anti-PD-1/anti-PD-L1 pathway antibodies, have led to a revolution in cancer treatment modalities. ICIs have unique clinical benefits, such as effectiveness against a broad range of tumor types, strong overall impact on survival, and persistent responses after the cessation of therapy. However, only a subset of patients responds to these therapies, and a small proportion of patients even experience rapid progression or an increased risk of death. Therefore, it is imperative to optimize patient selection for treatment. This review focuses on the mechanisms of tumor escape from immune surveillance, the composition and activity of a preexisting immune infiltrate, the degree of tumor foreignness (as reflected by the mutational burden, expression of viral genes, and driver gene mutations), and host factors (including peripheral blood biomarkers, genetic polymorphisms, and gut microbiome) to summarize current evidence on the biomarkers of responses to ICIs and explore the future prospects in this field.
基金:
Shandong Provincial Natural Science FoundationNatural Science Foundation of Shandong Province [ZR2015HZ004]; National Health and Family Planning Commission of China [201402011]; National Science Foundation for Young Scientists of China [81602031]
第一作者单位:[1]Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong University, Jinan, China[2]Department of Radiation Oncology, China-Japan Friendship Hospital, Beijing, China
通讯作者:
通讯机构:[1]Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong University, Jinan, China[*1]Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong University, 440 Jiyan Road, Jinan 250117, Shandong, China
推荐引用方式(GB/T 7714):
Yingming Zhu,Fen Zhao,Zhenxiang Li,et al.Current landscape and future directions of biomarkers for predicting responses to immune checkpoint inhibitors[J].CANCER MANAGEMENT and RESEARCH.2018,10:2475-2488.doi:10.2147/CMAR.S167400.
APA:
Yingming Zhu,Fen Zhao,Zhenxiang Li&Jinming Yu.(2018).Current landscape and future directions of biomarkers for predicting responses to immune checkpoint inhibitors.CANCER MANAGEMENT and RESEARCH,10,
MLA:
Yingming Zhu,et al."Current landscape and future directions of biomarkers for predicting responses to immune checkpoint inhibitors".CANCER MANAGEMENT and RESEARCH 10.(2018):2475-2488