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癌症免疫疗法生物标志物检测全景。

The Cancer Immunotherapy Biomarker Testing Landscape.

机构信息

From the Department of Medical & Scientific Affairs, Roche Tissue Diagnostics, Tucson, Arizona (Dr Walk); the Department of Laboratory Medicine and Pathology, University of Minnesota Medical School, Minneapolis (Drs Yohe and Beckman); Diagnostic and Experimental Pathology, Eli Lilly and Company, Indianapolis, Indiana (Dr Schade); the Department of Pathology, Microbiology, and Immunology, Vanderbilt University School of Medicine, Nashville, Tennessee (Dr Zutter); the Department of Molecular Pathology and Genomics, Swedish Cancer Institute, Seattle, Washington (Dr Berry); and the Department of Pathology, Washington University School of Medicine, St Louis, Missouri (Dr Pfeifer).

出版信息

Arch Pathol Lab Med. 2020 Jun;144(6):706-724. doi: 10.5858/arpa.2018-0584-CP. Epub 2019 Nov 12.

Abstract

CONTEXT.—: Cancer immunotherapy provides unprecedented rates of durable clinical benefit to late-stage cancer patients across many tumor types, but there remains a critical need for biomarkers to accurately predict clinical response. Although some cancer immunotherapy tests are associated with approved therapies and considered validated, other biomarkers are still emerging and at various states of clinical and translational exploration.

OBJECTIVE.—: To provide pathologists with a current and practical update on the evolving field of cancer immunotherapy testing. The scientific background, clinical data, and testing methodology for the following cancer immunotherapy biomarkers are reviewed: programmed death ligand-1 (PD-L1), mismatch repair, microsatellite instability, tumor mutational burden, polymerase δ and ε mutations, cancer neoantigens, tumor-infiltrating lymphocytes, transcriptional signatures of immune responsiveness, cancer immunotherapy resistance biomarkers, and the microbiome.

DATA SOURCES.—: Selected scientific publications and clinical trial data representing the current field of cancer immunotherapy.

CONCLUSIONS.—: The cancer immunotherapy field, including the use of biomarker testing to predict patient response, is still in evolution. PD-L1, mismatch repair, and microsatellite instability testing are helping to guide the use of US Food and Drug Administration-approved therapies, but there remains a need for better predictors of response and resistance. Several categories of tumor and patient characteristics underlying immune responsiveness are emerging and may represent the next generation of cancer immunotherapy predictive biomarkers. Pathologists have important roles and responsibilities as the field of cancer immunotherapy continues to develop, including leadership of translational studies, exploration of novel biomarkers, and the accurate and timely implementation of newly approved and validated companion diagnostics.

摘要

背景

癌症免疫疗法为许多肿瘤类型的晚期癌症患者提供了前所未有的持久临床获益,但仍迫切需要生物标志物来准确预测临床反应。虽然一些癌症免疫疗法检测与已批准的疗法相关,被认为是经过验证的,但其他生物标志物仍在不断涌现,并处于临床和转化探索的不同阶段。

目的

为病理学家提供癌症免疫疗法检测领域不断发展的最新实用信息。本文回顾了以下癌症免疫疗法生物标志物的科学背景、临床数据和检测方法:程序性死亡配体 1(PD-L1)、错配修复、微卫星不稳定性、肿瘤突变负担、聚合酶 δ 和 ε 突变、癌症新抗原、肿瘤浸润淋巴细胞、免疫反应转录特征、癌症免疫疗法耐药生物标志物和微生物组。

资料来源

代表癌症免疫疗法当前领域的精选科学出版物和临床试验数据。

结论

癌症免疫疗法领域,包括使用生物标志物检测来预测患者的反应,仍在不断发展。PD-L1、错配修复和微卫星不稳定性检测有助于指导美国食品和药物管理局批准疗法的使用,但仍需要更好的反应和耐药预测指标。一些与免疫反应相关的肿瘤和患者特征类别正在出现,可能代表下一代癌症免疫疗法预测生物标志物。随着癌症免疫疗法领域的不断发展,病理学家在其中发挥着重要作用和承担着重要责任,包括领导转化研究、探索新的生物标志物以及准确及时地实施新批准和验证的伴随诊断。

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