Duruisseaux Michaël, Lize-Dufranc Cécile, Badoual Céline, Bibeau Frédéric
UM oncologie thoracique, clinique de pneumologie, pôle thorax et vaisseaux, CHU Grenoble-Alpes, 38700 Grenoble, France.
Service d'anatomie pathologique, CHU de Caen, université de Caen, 14003 Caen, France.
Ann Pathol. 2017 Feb;37(1):46-54. doi: 10.1016/j.annpat.2016.12.016. Epub 2017 Jan 26.
The remarkable efficacy of PD-1/PD-L1 and CTLA4 immune checkpoint inhibitors has led to numerous approvals in melanoma, non-small cell lung cancer, kidney cancer and several other cancers. Nevertheless, a response is observed in a variable proportion of patients, emphasizing the need for predictive biomarkers of efficacy of immune checkpoint inhibitors effectiveness. Several predictive biomarkers of efficacy are of interest: companion tests such PD-L1 immunohistochemistry, the mutational load, the immune status of the tumor and its molecular profile. They do not allow a perfect selection of the patients, but standardization procedures for certain techniques are ongoing. Moreover the emergence of new approaches, such as the multiplex in situ techniques and the microbiote analysis, may offer the opportunity to better select patients who really benefit from immunotherapy. The goal of this article is to discuss available and promising predictive biomarkers of efficacy for immunotherapy strategies.
PD-1/PD-L1和CTLA4免疫检查点抑制剂的显著疗效已使其在黑色素瘤、非小细胞肺癌、肾癌和其他几种癌症中获得了众多批准。然而,在不同比例的患者中观察到了反应,这凸显了对免疫检查点抑制剂疗效预测生物标志物的需求。几种疗效预测生物标志物备受关注:诸如PD-L1免疫组织化学、突变负荷、肿瘤的免疫状态及其分子特征等伴随检测。它们无法完美地筛选出患者,但某些技术的标准化程序正在进行中。此外,诸如多重原位技术和微生物群分析等新方法的出现,可能为更好地筛选真正从免疫治疗中获益的患者提供机会。本文的目的是讨论免疫治疗策略中现有的和有前景的疗效预测生物标志物。