Refining PD-1/PD-L1 assessment for biomarker-guided immunotherapy: A review

被引:12
作者
Zdrenka, Marek [1 ]
Kowalewski, Adam [1 ]
Ahmadi, Navid [2 ]
Sadiqi, Rizwan Ullah [3 ]
Chmura, Lukasz [4 ]
Borowczak, Jedrzej [5 ]
Maniewski, Mateusz [5 ]
Szylberg, Lukasz [1 ,5 ]
机构
[1] Prof Franciszek Lukaszczyk Mem Hosp, Oncol Ctr, Dept Tumor Pathol & Pathomorphol, Bydgoszcz, Poland
[2] Royal Papworth Hosp, Dept Cardiothorac Surg, Cambridge, England
[3] Med Univ Pleven, Pleven, Bulgaria
[4] Jagiellonian Univ Med Coll, Dept Pathomorphol, Krakow, Poland
[5] Nicolaus Copernicus Univ Torun, Coll Med Bydgoszcz, Chair Pathomorphol & Clin Placentol, Dept Obstet Gynaecol & Oncol, Bydgoszcz, Poland
来源
BIOMOLECULES AND BIOMEDICINE | 2024年 / 24卷 / 01期
关键词
Programmed cell death-1 (PD-1); programmed cell death ligand 1 (PD-L1); biomarkers; diagnosis; treatment response; digital pathology; CELL LUNG-CANCER; CIRCULATING TUMOR-CELLS; MUTATION BURDEN TMB; PD-L1; EXPRESSION; PREDICTS RESPONSE; CLASS-I; NIVOLUMAB; ASSOCIATION; IPILIMUMAB; SPECIMENS;
D O I
10.17305/bb.2023.9265
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
Anti-programmed cell death ligand 1 (PD-L1) immunotherapy is increasingly crucial in cancer treatment. To date, the Federal Drug Administration has approved four PD-L1 immunohistochemistry (IHC) staining protocols, commercially available in the form of "kits," facilitating testing for PD-L1 expression. These kits comprise four PD-L1 antibodies on two separate IHC platforms, each utilizing distinct, non-interchangeable scoring systems. Several factors, including tumor heterogeneity and the size of the tissue specimens assessed, can lead to PD-L1 status misclassification, potentially hindering the initiation of therapy. Therefore, the development of more accurate predictive biomarkers to distinguish between responders and non-responders prior to anti-PD-1/PD-L1 therapy warrants further research. Achieving this goal necessitates refining sampling criteria, enhancing current methods of PD-L1 detection, and deepening our understanding of the impact of additional biomarkers. In this article, we review potential solutions to improve the predictive accuracy of PD-L1 assessment in order to more precisely anticipate patients' responses to anti-PD-1/PD-L1 therapy, monitor disease progression, and predict clinical outcomes.
引用
收藏
页码:14 / 29
页数:16
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