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肿瘤突变负荷作为免疫治疗的生物标志物:当前数据和新兴概念。

Tumour mutational burden as a biomarker for immunotherapy: Current data and emerging concepts.

机构信息

Department of Medical Oncology, Center GF Leclerc, Dijon, France; Research Platform in Biological Oncology, Dijon, France; GIMI Genetic and Immunology Medical Institute, Dijon, France; University of Burgundy-Franche Comté, Dijon, France; UMR INSERM 1231, Dijon, France.

Research Platform in Biological Oncology, Dijon, France; GIMI Genetic and Immunology Medical Institute, Dijon, France; UMR INSERM 1231, Dijon, France.

出版信息

Eur J Cancer. 2020 May;131:40-50. doi: 10.1016/j.ejca.2020.02.038. Epub 2020 Apr 9.

DOI:10.1016/j.ejca.2020.02.038
PMID:32278982
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9473693/
Abstract

Treatment with immune checkpoint inhibitors targeting programmed cell death protein 1 (PD-1) or its ligand (PD-L1) can generate durable responses in various cancer types, but only in a subset of patients. The use of predictive biomarkers for response to PD-1/PD-L1 inhibitors is critical for patient selection. Expression of PD-L1 has demonstrated utility in patient selection. Tumour mutational burden (TMB) is an emerging biomarker for response to PD-1/PD-L1 inhibitors. The evaluation of this biomarker is based on the hypothesis that a high number of mutations in somatic exonic regions will lead to an increase in neoantigen production, which could then be recognised by CD8 T cells, resulting in improved immune responses. In this review, we will discuss rationale and implementation of TMB usage in patients, development of different methods to assess it, current limitations and technical issues to use this biomarker as a diagnostic test and propose future perspectives beyond TMB.

摘要

治疗针对程序性细胞死亡蛋白 1(PD-1)或其配体(PD-L1)的免疫检查点抑制剂可以在多种癌症类型中产生持久的反应,但仅在一部分患者中。因此,预测 PD-1/PD-L1 抑制剂反应的生物标志物对于患者选择至关重要。PD-L1 的表达已被证明在患者选择中具有一定的作用。肿瘤突变负担(TMB)是一种新的 PD-1/PD-L1 抑制剂反应生物标志物。该生物标志物的评估基于以下假设:体细胞外显子区域的大量突变会导致新抗原的产生增加,然后这些新抗原可以被 CD8 T 细胞识别,从而增强免疫反应。在这篇综述中,我们将讨论 TMB 在患者中的应用原理和实施情况,不同评估方法的发展,目前的局限性和使用该生物标志物作为诊断测试的技术问题,并提出除 TMB 以外的未来展望。

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本文引用的文献

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The Predictive Value of Tumor Mutation Burden on Efficacy of Immune Checkpoint Inhibitors in Cancers: A Systematic Review and Meta-Analysis.肿瘤突变负荷对癌症中免疫检查点抑制剂疗效的预测价值:一项系统评价和荟萃分析
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Evolutionary divergence of HLA class I genotype impacts efficacy of cancer immunotherapy.HLA 类 I 基因型的进化分歧影响癌症免疫疗法的疗效。
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Comprehensive Outline of Whole Exome Sequencing Data Analysis Tools Available in Clinical Oncology.临床肿瘤学中可用的全外显子组测序数据分析工具综合概述。
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Clinical efficacy and biomarker analysis of neoadjuvant atezolizumab in operable urothelial carcinoma in the ABACUS trial.ABACUS 试验中阿替利珠单抗新辅助治疗可手术型尿路上皮癌的临床疗效和生物标志物分析。
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Five-Year Survival with Combined Nivolumab and Ipilimumab in Advanced Melanoma.纳武利尤单抗联合伊匹木单抗治疗晚期黑色素瘤的 5 年生存数据
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Neoantigen quality, not quantity.新抗原质量,而非数量。
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