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整合实体瘤的组织病理学、免疫生物标志物和分子亚群:精准肿瘤学的下一步。

Integrating histopathology, immune biomarkers, and molecular subgroups in solid cancer: the next step in precision oncology.

机构信息

Pathology Department, Johns Hopkins University School of Medicine, 600 N. Wolfe Street, Baltimore, MD, 21287, USA.

INSERM, UMR_S 1138, Centre de Recherche des Cordeliers, Team "Cancer, immune control and escape", 75006, Paris, France.

出版信息

Virchows Arch. 2019 Apr;474(4):463-474. doi: 10.1007/s00428-018-02517-1. Epub 2019 Jan 10.

DOI:10.1007/s00428-018-02517-1
PMID:30631935
Abstract

For many years, the gold standard cancer grading and staging had focused on the characteristics of the cancer cells and often disregarded the non-tumoral cell compartments. The expansion of research on the tumor immune microenvironment, the successes and dissemination of immunotherapies to treat cancer, and the open access to large -omic databases have allowed the development of novel powerful immune-based prognostic and theranostic biomarkers. Although they often correlate with histopathologic characteristics and TNM staging, in many instances, they are independently associated with, and potentially superior predictors of, the patient's prognosis and response to immunotherapies. As pathologists in the era of precision medicine, we are uniquely positioned to participate in the integration of these histologic and molecular features of the tumor microenvironment to provide the best prognostic information to clinicians and patients. In this review, we summarize some of the most important immune-related prognostic biomarkers in solid cancer, how they integrate with traditional histopathologic (i.e., staging and grading) and novel molecular stratification systems, and their potential role as predictors to response to agents blocking the PD-1/PD-L1 axis.

摘要

多年来,癌症分级和分期的金标准一直侧重于癌细胞的特征,而常常忽略了非肿瘤细胞区室。肿瘤免疫微环境研究的扩展、免疫疗法治疗癌症的成功和传播以及对大型组学数据库的开放访问,使得新型强大的基于免疫的预后和治疗诊断生物标志物得以发展。虽然它们通常与组织病理学特征和 TNM 分期相关,但在许多情况下,它们与患者的预后和对免疫疗法的反应独立相关,并且可能是更好的预测因素。作为精准医学时代的病理学家,我们具有独特的优势,可以参与整合肿瘤微环境的这些组织学和分子特征,为临床医生和患者提供最佳的预后信息。在这篇综述中,我们总结了实体瘤中一些最重要的免疫相关预后生物标志物,它们如何与传统的组织病理学(即分期和分级)和新型分子分层系统相结合,以及它们作为预测因子对阻断 PD-1/PD-L1 轴药物反应的潜在作用。

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