Single-cell RNA sequencing in cancer research: discovering novel biomarkers and therapeutic targets for immune checkpoint blockade

被引:10
|
作者
Sun, Boyu [1 ]
Xun, Ziyu [1 ]
Zhang, Nan [1 ]
Liu, Kai [1 ]
Chen, Xiangqi [1 ]
Zhao, Haitao [1 ]
机构
[1] Chinese Acad Med Sci & Peking Union Med Coll, Peking Union Med Coll Hosp, Dept Liver Surg, State Key Lab Complex Severe & Rare Dis, 1 Shuaifuyuan, Beijing 100730, Peoples R China
关键词
Immune checkpoint blockade; Single-cell RNA sequencing; Tumor microenvironment; Biomarker; Therapeutic target; TERTIARY LYMPHOID STRUCTURES; INFILTRATING T-CELLS; MICROSATELLITE INSTABILITY; PD-1; BLOCKADE; HEPATOCELLULAR-CARCINOMA; ANTITUMOR CYTOTOXICITY; CLINICAL ACTIVITY; IMMUNOTHERAPY; EXPRESSION; LANDSCAPE;
D O I
10.1186/s12935-023-03158-4
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Immune checkpoint blockade (ICB) has become a promising strategy in treating advanced cancers, providing significant survival benefits for patients with various cancer types. However, among the vast population of cancer patients, only a small fraction are able to respond to and derive benefits from ICB therapy. Numerous factors contribute to the diminished efficacy of ICB, with the complex tumor microenvironment (TME) playing an important role. Therefore, comprehensively understanding the intricate composition of the TME is critical for elucidating the mechanisms that underlie distinct responses to ICB in patients. Single-cell RNA sequencing (scRNA-seq) is a novel technique that reveals gene expression profiles of individual cells, facilitating the investigation of TME heterogeneity at a high resolution and the identification of key cell subsets participating in the response to ICB. This review emphasizes the importance of scRNA-seq in studying ICB and summarizes recent findings in the discovery of biomarkers that predict ICB response and novel potential therapeutic targets for immunotherapy. These findings suggest future directions for the clinical implementation of cancer immunotherapy, facilitating further advancements in precision medicine.
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收藏
页数:21
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