Caligola Simone, De Sanctis Francesco, Canè Stefania, Ugel Stefano
Immunology Section, Department of Medicine, University of Verona, Verona, Italy.
Front Genet. 2022 May 16;13:867880. doi: 10.3389/fgene.2022.867880. eCollection 2022.
Tumors are not a simple aggregate of transformed cells but rather a complicated ecosystem containing various components, including infiltrating immune cells, tumor-related stromal cells, endothelial cells, soluble factors, and extracellular matrix proteins. Profiling the immune contexture of this intricate framework is now mandatory to develop more effective cancer therapies and precise immunotherapeutic approaches by identifying exact targets or predictive biomarkers, respectively. Conventional technologies are limited in reaching this goal because they lack high resolution. Recent developments in single-cell technologies, such as single-cell RNA transcriptomics, mass cytometry, and multiparameter immunofluorescence, have revolutionized the cancer immunology field, capturing the heterogeneity of tumor-infiltrating immune cells and the dynamic complexity of tenets that regulate cell networks in the tumor microenvironment. In this review, we describe some of the current single-cell technologies and computational techniques applied for immune-profiling the cancer landscape and discuss future directions of how integrating multi-omics data can guide a new "precision oncology" advancement.
肿瘤并非简单的转化细胞聚集体,而是一个复杂的生态系统,包含多种成分,如浸润性免疫细胞、肿瘤相关基质细胞、内皮细胞、可溶性因子和细胞外基质蛋白。剖析这个复杂框架的免疫格局,对于分别通过识别确切靶点或预测性生物标志物来开发更有效的癌症治疗方法和精确的免疫治疗手段而言,现已成为必要之举。传统技术在实现这一目标方面存在局限,因为它们缺乏高分辨率。单细胞技术的最新进展,如单细胞RNA转录组学、质谱流式细胞术和多参数免疫荧光技术,已经彻底改变了癌症免疫学领域,捕捉到了肿瘤浸润免疫细胞的异质性以及调节肿瘤微环境中细胞网络的原理的动态复杂性。在这篇综述中,我们描述了一些目前用于对癌症格局进行免疫剖析的单细胞技术和计算技术,并讨论了整合多组学数据如何能够引领新的“精准肿瘤学”进展的未来方向。