Le Jiayuan, Dian Yating, Zhao Deze, Guo Ziyu, Luo Zehao, Chen Xiang, Zeng Furong, Deng Guangtong
Department of Dermatology, Xiangya Hospital, Central South University, 87 Xiangya road, Changsha, Hunan, 410008, China.
National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Changsha, Hunan, China.
Mol Cancer. 2025 Aug 25;24(1):221. doi: 10.1186/s12943-025-02426-3.
Cancer immunotherapy has revolutionized clinical oncology; however, the inherent complexity and heterogeneity of cancer present substantial challenges to achieving broad therapeutic efficacy. Tumor heterogeneity manifests not only among different patients but also within individual tumors, further complicating personalized treatment approaches. Single-cell sequencing technologies encompassing genomics, transcriptomics, epigenomics, proteomics, and spatial omics have significantly enhanced our ability to dissect tumor heterogeneity at single-cell resolution with multi-layered depth. These approaches have illuminated tumor biology, immune escape mechanisms, treatment resistance, and patient-specific immune response mechanisms, thereby substantially advancing precision oncology strategies. This review systematically examines recent advances in single-cell multi-omics technologies across various cancer research areas, emphasizing their transformative impacts on understanding tumor heterogeneity, immunotherapy, minimal residual disease monitoring, and neoantigen discovery. Additionally, we discuss current technical and analytical limitations and unresolved questions associated with single-cell technologies. We anticipate single-cell multi-omics technologies will become central to precision oncology, facilitating truly personalized therapeutic interventions.
癌症免疫疗法彻底改变了临床肿瘤学;然而,癌症固有的复杂性和异质性给实现广泛的治疗效果带来了巨大挑战。肿瘤异质性不仅表现在不同患者之间,也存在于单个肿瘤内部,这使得个性化治疗方法更加复杂。涵盖基因组学、转录组学、表观基因组学、蛋白质组学和空间组学的单细胞测序技术显著增强了我们以多层深度在单细胞分辨率下剖析肿瘤异质性的能力。这些方法阐明了肿瘤生物学、免疫逃逸机制、治疗抗性和患者特异性免疫反应机制,从而极大地推动了精准肿瘤学策略的发展。本综述系统地研究了单细胞多组学技术在各个癌症研究领域的最新进展,强调了它们对理解肿瘤异质性、免疫疗法、微小残留病监测和新抗原发现的变革性影响。此外,我们还讨论了当前与单细胞技术相关的技术和分析局限性以及未解决的问题。我们预计单细胞多组学技术将成为精准肿瘤学的核心,促进真正的个性化治疗干预。