PD1 and PD-L1 Inhibitors for the Treatment of Kidney Cancer: The Role of PD-L1 Assay

被引:12
作者
Cimadamore, Alessia [1 ]
Massari, Francesco [2 ]
Santoni, Matteo [3 ]
Lopez-Beltran, Antonio [4 ]
Cheng, Liang [5 ]
Scarpelli, Marina [1 ]
Montironi, Rodolfo [1 ]
Moch, Holger [6 ,7 ]
机构
[1] Polytech Univ Marche Reg, United Hosp, Sch Med, Sect Pathol Anat, Via Conca 71, I-60126 Ancona, Italy
[2] St Orsola Marcello Malpighi Hosp, Div Oncol, Bologna, Italy
[3] Macerata Hosp, Oncol Unit, Macerata, Italy
[4] Univ Cordoba, Fac Med, Dept Pathol & Surg, Cordoba, Spain
[5] Indiana Univ Sch Med, Dept Pathol & Lab Med, Indianapolis, IN 46202 USA
[6] Univ Zurich, Dept Pathol & Mol Pathol, CH-8091 Zurich, Switzerland
[7] Univ Hosp Zurich, CH-8091 Zurich, Switzerland
关键词
Immune-checkpoint inhibitors; immunotherapy; ipilimumab; nivolumab; pembrolizumab; atezolizumab; avelumab; renal cell carcinoma; PD-L1; immunohistochemistry; T-CELL EXHAUSTION; EXPRESSION; EVEROLIMUS; SUNITINIB; CABOZANTINIB; INFECTION; NIVOLUMAB; SUBSETS; THERAPY; PATHWAY;
D O I
10.2174/1389450121666200324151056
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Background: Immune checkpoint inhibitors targeting the programmed death receptor ligand 1 (PD-L1)/programmed death receptor 1 (PD-1) pathway represent a drastic change in the treatment landscape of RCC resulting in a dynamic and evolving scenario. There is an urgent need for predictive biomarkers of response to provide a personalized therapeutic strategy for individual patients. Objective: In this review, we focused on trials that investigated the administration of a PD-1 and PD-L1 inhibitor alone or in combination with another agent and compared the different assays applied in each trial to evaluate the role of PD-L1 as a prognostic and predictive biomarker. Conclusion: So far, the use of PD-L1 expression alone is not sufficient to predict treatment response and present many limitations: the lack of consensus between different methodologies on biomarker assessment, the heterogeneity of PD-L1 between primary tumors and metastatic sites, different criteria of response to therapy (RECIST vs. irRECIST), the complex interplay with inflammatory components, previous treatments, administration of antibiotic therapy. Combinations of different biomarkers and biological features, such as gene expression associated with angiogenesis, immune response and myeloid inflammation are promising biological variables that need to be validated in the context of prospective clinical trials.y
引用
收藏
页码:1664 / 1671
页数:8
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