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质谱流式细胞术作为一种适用于癌症患者分层和监测的工具。

CyTOF as a suitable tool for stratification and monitoring of cancer patients.

作者信息

Seliger Barbara, Massa Chiara

机构信息

Medical Faculty, Martin-Luther-University Halle-Wittenberg, Magdeburger Str. 2, 06112, Halle (Saale), Germany.

Fraunhofer Institute for Cell Therapy and Immunology, 04103, Leipzig, Germany.

出版信息

J Transl Med. 2025 Jul 1;23(1):724. doi: 10.1186/s12967-025-06764-0.

Abstract

Despite the recent implementation of immunotherapies into clinical practice of various tumor types, the immunobiology of tumors and in particular the role and clinical relevance of the different immune cell populations and their function still remained unclear. Therefore, an in depth analysis of the complex landscape of immune cell populations and their soluble mediators in the peripheral blood and tumor microenvironment of cancer patients is urgently needed. Mass cytometry has revolutionized the immune phenotyping in particular in settings where simultaneous breadth and detailed characterization of the phenotype and function of immune cell (sub)populations with limited sample size is required, such as monitoring of patients' response to immunotherapies. Since mass cytometry is a powerful multiplex approach to decipher tumor intrinsic and tumor extrinsic effects of tumor immunotherapies, this review summarizes the use of this technology for determination of the frequency and functional status of immune cell populations within the tumor and in the blood leading to the identification of intratumoral/peripheral immune signatures that might serve as biomarkers (i) for treatment response and/or failure, (ii) for the stratification of tumor patients or (iii) for the identification of novel therapeutic targets.

摘要

尽管近期免疫疗法已应用于多种肿瘤类型的临床实践,但肿瘤的免疫生物学,尤其是不同免疫细胞群体的作用及其临床相关性仍不清楚。因此,迫切需要深入分析癌症患者外周血和肿瘤微环境中免疫细胞群体及其可溶性介质的复杂格局。质谱流式细胞术彻底改变了免疫表型分析,特别是在需要对有限样本量的免疫细胞(亚)群体的表型和功能进行同时广泛且详细表征的情况下,例如监测患者对免疫疗法的反应。由于质谱流式细胞术是一种强大的多重分析方法,可用于解读肿瘤免疫疗法的肿瘤内在和外在效应,本综述总结了该技术在确定肿瘤内和血液中免疫细胞群体的频率和功能状态方面的应用,从而识别可能作为生物标志物的肿瘤内/外周免疫特征:(i)用于治疗反应和/或失败,(ii)用于肿瘤患者的分层,或(iii)用于识别新的治疗靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c052/12220477/02d5061513d0/12967_2025_6764_Fig1_HTML.jpg

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