免疫组织化学在肺癌患者治疗预测生物标志物中能占据一席之地吗?

Any Place for Immunohistochemistry within the Predictive Biomarkers of Treatment in Lung Cancer Patients?

作者信息

Hofman Véronique, Lassalle Sandra, Bence Coraline, Long-Mira Elodie, Nahon-Estève Sacha, Heeke Simon, Lespinet-Fabre Virginie, Butori Catherine, Ilié Marius, Hofman Paul

机构信息

Laboratory of Clinical and Experimental Pathology, Côte d'Azur University, FHU OncoAge, Pasteur Hospital, 30 Avenue de la voie Romaine, 06001 Nice CEDEX 01, France.

Hospital-Integrated Biobank (BB-0033-00025), Pasteur Hospital, 30 Avenue de la voie Romaine, 06001 Nice CEDEX 01, France.

出版信息

Cancers (Basel). 2018 Mar 13;10(3):70. doi: 10.3390/cancers10030070.

Abstract

The identification of certain genomic alterations (, , , ) or immunological markers (PD-L1) in tissues or cells has led to targeted treatment for patients presenting with late stage or metastatic lung cancer. These biomarkers can be detected by immunohistochemistry (IHC) and/or by molecular biology (MB) techniques. These approaches are often complementary but depending on, the quantity and quality of the biological material, the urgency to get the results, the access to technological platforms, the financial resources and the expertise of the team, the choice of the approach can be questioned. The possibility of detecting simultaneously several molecular targets, and of analyzing the degree of tumor mutation burden and of the micro-satellite instability, as well as the recent requirement to quantify the expression of PD-L1 in tumor cells, has led to case by case development of algorithms and international recommendations, which depend on the quality and quantity of biological samples. This review will highlight the different predictive biomarkers detected by IHC for treatment of lung cancer as well as the present advantages and limitations of this approach. A number of perspectives will be considered.

摘要

在组织或细胞中鉴定某些基因组改变(如 、 、 、 )或免疫标志物(PD-L1),已促使针对晚期或转移性肺癌患者开展靶向治疗。这些生物标志物可通过免疫组织化学(IHC)和/或分子生物学(MB)技术进行检测。这些方法通常具有互补性,但根据生物材料的数量和质量、获取结果的紧迫性、技术平台的可及性、财政资源以及团队的专业知识,方法的选择可能会受到质疑。同时检测多个分子靶点、分析肿瘤突变负荷程度和微卫星不稳定性的可能性,以及最近对量化肿瘤细胞中PD-L1表达的要求,已促使根据生物样本的质量和数量逐案制定算法和国际建议。本综述将重点介绍通过免疫组织化学检测到的用于肺癌治疗的不同预测生物标志物,以及该方法目前的优点和局限性。还将考虑一些观点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6b8c/5876645/d3db4cd80240/cancers-10-00070-g001a.jpg

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