免疫疗法
微卫星不稳定性
生物标志物
医学
癌症免疫疗法
表观遗传学
癌症
生物标志物发现
免疫检查点
免疫学
免疫系统
生物信息学
计算生物学
肿瘤科
生物
内科学
等位基因
生物化学
蛋白质组学
微卫星
基因
作者
Xuwen Lin,Chenyu Zong,Zhihan Zhang,Weiyi Fang,Ping Xu
出处
期刊:MedComm
[Wiley]
日期:2023-10-01
卷期号:4 (5)
被引量:8
摘要
Abstract Currently, checkpoint inhibitor‐based immunotherapy has emerged as prevailing treatment modality for diverse cancers. However, immunotherapy as a first‐line therapy has not consistently yielded durable responses. Moreover, the risk of immune‐related adverse events increases with combination regimens. Thus, the development of predictive biomarkers is needed to optimize individuals benefit, minimize risk of toxicities, and guide combination approaches. The greatest focus has been on tumor programmed cell death‐ligand 1 (PD‐L1), microsatellite instability (MSI), and tumor mutational burden (TMB). However, there remains a subject of debate due to thresholds variability and significant heterogeneity. Major unmet challenges in immunotherapy are the discovery and validation of predictive biomarkers. Here, we show the status of tumor PD‐L1, MSI, TMB, and emerging data on novel biomarker strategies with oncogenic signaling and epigenetic regulation. Considering the exploration of peripheral and intestinal immunity has served as noninvasive alternative in predicting immunotherapy, this review also summarizes current data in systemic immunity, encompassing solute PD‐L1 and TMB, circulating tumor DNA and infiltrating lymphocytes, routine emerging inflammatory markers and cytokines, as well as gut microbiota. This review provides up‐to‐date information on the evolving field of currently available biomarkers in predicting immunotherapy. Future exploration of novel biomarkers is warranted.
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