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常规临床实践中评估肿瘤突变负荷的方法。

Approach to evaluating tumor mutational burden in routine clinical practice.

作者信息

Truesdell John, Miller Vincent A, Fabrizio David

机构信息

Foundation Medicine, Inc., Cambridge, MA, USA.

出版信息

Transl Lung Cancer Res. 2018 Dec;7(6):678-681. doi: 10.21037/tlcr.2018.10.10.

Abstract

Immune checkpoint inhibition with monoclonal antibodies has emerged as a promising therapeutic approach but in most tumor types responses are unpredictable and observed in a minority of treated patients. Positive and negative predictive biomarkers for efficacy of these costly drugs are desperately needed. Immunohistochemistry (IHC) for programmed death ligand (PD-L1) expression in tumor and inflammatory infiltrate has emerged as one predictive biomarker of some value. However, multiple confounders including those inherent to any IHC and the unique complexities of the biology of the immune response have limited its utility. Tumor mutational burden (TMB) has emerged as a seemingly more promising predictive biomarker for immunotherapy with checkpoint inhibitors in several tumor types and is likely to be incorporated into future treatment algorithms for these agents. Given this, the need to define and standardize key parameters of the most promising biomarkers becomes essential to allow all stakeholders to make meaningful observations and inferences as to the efficacy of ostensibly similar agents and combinations in various settings. This review briefly summarizes approaches to measurement of TMB and ongoing efforts to achieve harmonization of this key biomarker.

摘要

单克隆抗体免疫检查点抑制已成为一种有前景的治疗方法,但在大多数肿瘤类型中,反应不可预测,且仅在少数接受治疗的患者中观察到。迫切需要这些昂贵药物疗效的阳性和阴性预测生物标志物。肿瘤和炎性浸润中程序性死亡配体(PD-L1)表达的免疫组织化学(IHC)已成为一种有一定价值的预测生物标志物。然而,包括任何免疫组织化学固有的因素以及免疫反应生物学独特复杂性在内的多种混杂因素限制了其效用。肿瘤突变负荷(TMB)在几种肿瘤类型中已成为免疫检查点抑制剂免疫治疗一种看似更有前景的预测生物标志物,并可能被纳入这些药物未来的治疗方案中。鉴于此,定义和标准化最有前景生物标志物的关键参数变得至关重要,以便所有利益相关者能够对表面上相似的药物及其组合在各种情况下的疗效进行有意义的观察和推断。本综述简要总结了肿瘤突变负荷的测量方法以及实现这一关键生物标志物标准化的持续努力。

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