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基于在线数据库筛选免疫检查点抑制剂的反应性或耐药性生物标志物。

Screening responsive or resistant biomarkers of immune checkpoint inhibitors based on online databases.

机构信息

Department of Surgery, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine; Shanghai Key Laboratory of Gastric Neoplasms, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.

出版信息

Front Med. 2019 Feb;13(1):24-31. doi: 10.1007/s11684-019-0679-7. Epub 2019 Jan 18.

Abstract

Immune checkpoint inhibitors are a promising strategy in the treatment of cancer, especially advanced types. However, not all patients are responsive to immune checkpoint inhibitors. The response rate depends on the immune microenvironment, tumor mutational burden (TMB), expression level of immune checkpoint proteins, and molecular subtypes of cancers. Along with the Cancer Genome Project, various open access databases, including The Cancer Genome Atlas and Gene Expression Omnibus, provide large volumes of data, which allow researchers to explore responsive or resistant biomarkers of immune checkpoint inhibitors. In this review, we introduced some methodologies on database selection, biomarker screening, current progress of immune checkpoint blockade in solid tumor treatment, possible mechanisms of drug resistance, strategies of overcoming resistance, and indications for immune checkpoint inhibitor therapy.

摘要

免疫检查点抑制剂是治疗癌症,特别是晚期癌症的一种很有前途的策略。然而,并非所有患者对免疫检查点抑制剂都有反应。反应率取决于免疫微环境、肿瘤突变负担(TMB)、免疫检查点蛋白的表达水平以及癌症的分子亚型。随着癌症基因组计划的开展,各种开放获取数据库,包括癌症基因组图谱和基因表达综合数据库,提供了大量的数据,使研究人员能够探索免疫检查点抑制剂的反应性或耐药性生物标志物。在这篇综述中,我们介绍了一些关于数据库选择、生物标志物筛选、免疫检查点阻断在实体瘤治疗中的最新进展、可能的耐药机制、克服耐药的策略以及免疫检查点抑制剂治疗的适应证的方法学。

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