Is There an Immunohistochemical PD-L1 Cut-Off Point That Serves as a Prognostic Indicator for Large B-Cell Lymphomas?

The aim of this study is to investigate whether there is a cut-off value for PD-L1 expression in large B-cell lymphomas that predicts prognosis, and to clarify the relationship between PD-L1 expression and histopathological as well as clinical parameters. The study included a total of 130 patients w...

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Published in:Diagnostics (Basel) Vol. 14; no. 11; p. 1167
Main Authors: Cin, Selcuk, Aki, Suat Hilal, Elverdi, Tugrul, Ozmen, Deniz, Salihoglu, Ayse
Format: Journal Article
Language:English
Published: Switzerland MDPI AG 31-05-2024
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Summary:The aim of this study is to investigate whether there is a cut-off value for PD-L1 expression in large B-cell lymphomas that predicts prognosis, and to clarify the relationship between PD-L1 expression and histopathological as well as clinical parameters. The study included a total of 130 patients who were diagnosed with large B-cell lymphoma at Istanbul University-Cerrahpasa, Cerrahpasa Faculty of Medicine, Pathology Department. Biopsy samples were assessed using the PD-L1 immunohistochemical antibody (Dako, 22C3 clone). The patients had a mean age of 54 ± 17 years, with a median age of 56 years. No statistically significant difference was observed between the groups in terms of survival when the 30% cut-off value was used. However, a noteworthy discrepancy in survival became apparent when the cut-off point was established at 70%. Among the diffuse large B-cell lymphoma-not otherwise specified (DLBCL-NOS) category, the activated B-cell-like (ABC-like) phenotype showed higher PD-L1 expression compared to the germinal center B-cell-like (GCB-like) phenotype. Immunohistochemical PD-L1 expression emerged as a prognostic factor, particularly significant in the ABC-like phenotype.
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Current address: Department of Pathology, University of Health Sciences, Bagcılar Training and Research Hospital, 34212 Istanbul, Turkey.
This study was presented as oral presentation at the 30th National Congress of Pathology, online, 20–23 May 2021.
ISSN:2075-4418
2075-4418
DOI:10.3390/diagnostics14111167