Yamaguchi Hirohito, Hsu Jung-Mao, Sun Linlin, Wang Shao-Chun, Hung Mien-Chie
Graduate Institute of Cell Biology, China Medical University, Taichung City 406040, Taiwan; Graduate Institute of Biomedical Sciences and Institute of Biochemistry and Molecular Biology, China Medical University, Taichung City 406040, Taiwan; Cancer Biology and Precision Therapeutics Center and Research Center for Cancer Biology, China Medical University, Taichung City 40402, Taiwan.
Graduate Institute of Biomedical Sciences and Institute of Biochemistry and Molecular Biology, China Medical University, Taichung City 406040, Taiwan; Cancer Biology and Precision Therapeutics Center and Research Center for Cancer Biology, China Medical University, Taichung City 40402, Taiwan.
Cell Rep Med. 2024 Jul 16;5(7):101621. doi: 10.1016/j.xcrm.2024.101621. Epub 2024 Jun 20.
Immune checkpoint inhibitors (ICIs) activate anti-cancer immunity by blocking T cell checkpoint molecules such as programmed death 1 (PD-1) and cytotoxic T lymphocyte-associated protein 4 (CTLA-4). Although ICIs induce some durable responses in various cancer patients, they also have disadvantages, including low response rates, the potential for severe side effects, and high treatment costs. Therefore, selection of patients who can benefit from ICI treatment is critical, and identification of biomarkers is essential to improve the efficiency of ICIs. In this review, we provide updated information on established predictive biomarkers (tumor programmed death-ligand 1 [PD-L1] expression, DNA mismatch repair deficiency, microsatellite instability high, and tumor mutational burden) and potential biomarkers currently under investigation such as tumor-infiltrated and peripheral lymphocytes, gut microbiome, and signaling pathways related to DNA damage and antigen presentation. In particular, this review aims to summarize the current knowledge of biomarkers, discuss issues, and further explore future biomarkers.
免疫检查点抑制剂(ICIs)通过阻断程序性死亡1(PD-1)和细胞毒性T淋巴细胞相关蛋白4(CTLA-4)等T细胞检查点分子来激活抗癌免疫。尽管ICIs在各种癌症患者中诱导了一些持久反应,但它们也有缺点,包括低反应率、严重副作用的可能性和高治疗成本。因此,选择能够从ICI治疗中获益的患者至关重要,而生物标志物的识别对于提高ICIs的效率至关重要。在本综述中,我们提供了关于已确立的预测性生物标志物(肿瘤程序性死亡配体1 [PD-L1]表达、DNA错配修复缺陷、微卫星高度不稳定和肿瘤突变负担)以及目前正在研究的潜在生物标志物(如肿瘤浸润淋巴细胞和外周淋巴细胞、肠道微生物群以及与DNA损伤和抗原呈递相关的信号通路)的最新信息。特别是,本综述旨在总结生物标志物的当前知识、讨论问题并进一步探索未来的生物标志物。