Zhang Wenyige, Zhang Xue, Teng Feifei, Yang Qijun, Wang Jiayi, Sun Bing, Liu Jie, Zhang Jingyan, Sun Xiaomeng, Zhao Hanqing, Xie Yuxuan, Liao Kaili, Wang Xiaozhong
Department of Clinical Laboratory, The 2nd Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi 330006, China.
Queen Mary College, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi 330006, China.
Genes Dis. 2024 Feb 3;12(1):101239. doi: 10.1016/j.gendis.2024.101239. eCollection 2025 Jan.
In precision cancer therapy, addressing intra-tumor heterogeneity poses a significant obstacle. Due to the heterogeneity of each cell subtype and between cells within the tumor, the sensitivity and resistance of different patients to targeted drugs, chemotherapy, , are inconsistent. Concerning a specific tumor type, many feasible treatments or combinations can be used by specifically targeting the tumor microenvironment. To solve this problem, it is necessary to further study the tumor microenvironment. Single-cell sequencing techniques can dissect distinct tumor cell populations by isolating cells and using statistical computational methods. This technology may assist in the selection of targeted combination therapy, and the obtained cell subset information is crucial for the rational application of targeted therapy. In this review, we summarized the research and application advances of single-cell sequencing technology in the tumor microenvironment, including the most commonly used single-cell genomic and transcriptomic sequencing, and their future development direction was proposed. The application of single-cell sequencing technology has been expanded to include epigenomics, proteomics, metabolomics, and microbiome analysis. The integration of these different omics approaches has significantly advanced the development of single-cell multiomics sequencing technology. This innovative approach holds immense potential for various fields, such as biological research and medical investigations. Finally, we discussed the advantages and disadvantages of using single-cell sequencing to explore the tumor microenvironment.
在精准癌症治疗中,应对肿瘤内异质性是一个重大障碍。由于肿瘤内各细胞亚型之间以及细胞内部存在异质性,不同患者对靶向药物、化疗等的敏感性和耐药性并不一致。针对特定肿瘤类型,通过特异性靶向肿瘤微环境可采用多种可行的治疗方法或联合治疗方案。为解决这一问题,有必要进一步研究肿瘤微环境。单细胞测序技术可通过分离细胞并运用统计计算方法剖析不同的肿瘤细胞群体。该技术有助于靶向联合治疗方案的选择,所获得的细胞亚群信息对于靶向治疗的合理应用至关重要。在本综述中,我们总结了单细胞测序技术在肿瘤微环境中的研究与应用进展,包括最常用的单细胞基因组和转录组测序,并提出了其未来的发展方向。单细胞测序技术的应用已扩展到表观基因组学、蛋白质组学、代谢组学和微生物组分析。这些不同组学方法的整合显著推动了单细胞多组学测序技术的发展。这种创新方法在生物学研究和医学调查等各个领域都具有巨大潜力。最后,我们讨论了使用单细胞测序探索肿瘤微环境的优缺点。