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Cancer Immunol Immunother ; 69(10): 2053-2061, 2020 Oct.
Article in English | MEDLINE | ID: mdl-32445029

ABSTRACT

OBJECTIVE: To explore the programmed death-ligand 1 (PD-L1) expression in varied subtypes of pituitary neuroendocrine tumors with assessment of their clinical behavior at diagnosis and follow-up. METHODS: We conducted a retrospective monocentric study, including all patients operated in the Academic Hospital of Angers (France) for a pituitary neuroendocrine tumor between 2012 and 2018. PDL-1 immunostaining was performed using a European Conformity-In Vitro Diagnostic-labeled anti-PDL1 antibody (clone 22C3). PD-L1 immunostaining was evaluated as the percentage of tumor cells showing positive membrane staining, into four grades: grade 0 = < 1%, grade 1 = 1 to 5%, grade 2 = 6 to 49% and grade 3 = ≥ 50%. PD-L1 expression was compared with tumor features (secretion, proliferation, invasion) and outcome. RESULTS: The study included 139 pituitary neuroendocrine tumors, including 84 (60%) nonfunctioning adenomas. Twenty-five pituitary neuroendocrine tumors were PD-L1 positive (18%), including 3 grade 3, 8 grade 2 and 14 grade 1. PD-L1 expression was not different between functioning and nonfunctioning adenomas (p = 0.26). Among 16 tumors with proliferative markers (Ki-67 ≥ 3% and p53 positive), only one was PD-L1 positive. CONCLUSION: In our series, PD-L1 was expressed in a rather small proportion of PitNET (18%), and this immune marker was not associated with any biological characteristic or behavior of the pituitary tumors. Thus, PD-L1 staining may be necessary before considering PD-L1 blockage in pituitary neuroendocrine tumors, in case of therapeutic impasse.


Subject(s)
B7-H1 Antigen/metabolism , Biomarkers, Tumor/metabolism , Neoplasm Recurrence, Local/pathology , Neuroendocrine Tumors/pathology , Pituitary Neoplasms/pathology , Female , Follow-Up Studies , Humans , Male , Middle Aged , Neoplasm Recurrence, Local/metabolism , Neuroendocrine Tumors/metabolism , Pituitary Neoplasms/metabolism , Prognosis , Retrospective Studies , Survival Rate
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