Optimization of Programmed Death Ligand-1 Immunohistochemical Protocol on Urothelial Carcinomas, Using an Automated Immunostainer (Leica, BOND-MAX)
DOI:
https://doi.org/10.62838/amsm-2026-0020Keywords:
PD-L1, urothelial carcinoma, immunohistochemistryAbstract
Background: In urothelial carcinomas, Programmed Death Ligand-1 (PD-L1) expression assessed by immunohistochemistry is essential in order to predict the response of patients to immunotherapy.
Objective: The aims of our study were (1) to optimise the automated immunohistochemistry staining technique for the PD-L1 antibody 73-10 clone (Leica Biosystems), using a control tissue, on the Leica BOND-MAX immunostaining platform at the Center for Advanced Medical and Pharmaceutical Research – Laboratory of Normal and Pathological Morphology (MORFO) and (2) to validate the technique by applying it on a series of 40 urothelial carcinomas.
Methods: The cases included in our study corresponded to muscle-invasive urothelial carcinomas diagnosed on radical cystectomy specimens. The cases were retrieved from the Pathology Department of Târgu-Mureș Emergency County Hospital database (between 2011-2018). The immunohistochemical staining was optimized according to the producer’s recommendation and adapted to our laboratory. Palatine tonsil specimen served as positive control tissue. PD-L1 positivity was assessed in all urothelial carcinoma cases either by evaluating the tumor and immune cells, or by applying the Combined Positive Score.
Results: Our technique enabled us to obtain a well-optimized, high quality immunohistochemical PD-L1 staining on the control tissue, which was further successfully applied on the urothelial carcinoma cases. By assessing the PD-L1-positive tumor cells and/or immune cells percentages, 15 cases were considered PD-L1 positive. Using the Combined Positive Score, 16 cases were evaluated as positive.
Conclusion: The immunohistochemistry protocol optimization for any antibody is a crucial step that must be performed in each laboratory in order to obtain reliable and reproducible results, which enable further application into daily routine.
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Copyright (c) 2026 Lorena Solovăstru, Alin Ioan Nechifor Boila, Angela Borda, Andrada Loghin, Adela Nechifor-Boilă

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