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多种组学技术的联合应用,以实现个性化治疗或治疗选择。

Combination of multiple omics techniques for a personalized therapy or treatment selection.

机构信息

Institute for Translational Immunology, Brandenburg Medical School Theodor Fontane, Brandenburg an der Havel, Germany.

Institute of Medical Immunology, Martin Luther University Halle-Wittenberg, Halle, Germany.

出版信息

Front Immunol. 2023 Sep 27;14:1258013. doi: 10.3389/fimmu.2023.1258013. eCollection 2023.

Abstract

Despite targeted therapies and immunotherapies have revolutionized the treatment of cancer patients, only a limited number of patients have long-term responses. Moreover, due to differences within cancer patients in the tumor mutational burden, composition of the tumor microenvironment as well as of the peripheral immune system and microbiome, and in the development of immune escape mechanisms, there is no "one fit all" therapy. Thus, the treatment of patients must be personalized based on the specific molecular, immunologic and/or metabolic landscape of their tumor. In order to identify for each patient the best possible therapy, different approaches should be employed and combined. These include (i) the use of predictive biomarkers identified on large cohorts of patients with the same tumor type and (ii) the evaluation of the individual tumor with "omics"-based analyses as well as its characterization for susceptibility to different therapies.

摘要

尽管靶向治疗和免疫疗法已经彻底改变了癌症患者的治疗方式,但只有少数患者能获得长期的缓解。此外,由于肿瘤突变负担、肿瘤微环境组成、外周免疫系统和微生物组的不同,以及免疫逃逸机制的发展,没有一种治疗方法适用于所有患者。因此,必须根据肿瘤的特定分子、免疫和/或代谢特征对患者进行个体化治疗。为了为每位患者确定最佳治疗方法,应采用并结合不同的方法。这些方法包括:(i)在具有相同肿瘤类型的大量患者中使用预测性生物标志物进行识别,以及(ii)使用基于“组学”的分析对个体肿瘤进行评估,并对其对不同治疗方法的敏感性进行描述。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce78/10565668/71a66b1b6c93/fimmu-14-1258013-g001.jpg

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