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Prognostic impact of programmed cell death-1 (PD-1) and PD-ligand 1 (PD-L1) expression in cancer cells and tumor-infiltrating lymphocytes in ovarian high grade serous carcinoma.
Darb-Esfahani, Silvia; Kunze, Catarina Alisa; Kulbe, Hagen; Sehouli, Jalid; Wienert, Stephan; Lindner, Judith; Budczies, Jan; Bockmayr, Michael; Dietel, Manfred; Denkert, Carsten; Braicu, Ioana; Jöhrens, Korinna.
Afiliación
  • Darb-Esfahani S; Institute of Pathology, Charité Universitätsmedizin Berlin, Berlin, Germany.
  • Kunze CA; Tumorbank Ovarian Cancer Network, Department of Gynecology, Charité Universitätsmedizin Berlin, Berlin, Germany.
  • Kulbe H; Institute of Pathology, Charité Universitätsmedizin Berlin, Berlin, Germany.
  • Sehouli J; Tumorbank Ovarian Cancer Network, Department of Gynecology, Charité Universitätsmedizin Berlin, Berlin, Germany.
  • Wienert S; Department of Gynecology, Charité Universitätsmedizin Berlin, Berlin, Germany.
  • Lindner J; Tumorbank Ovarian Cancer Network, Department of Gynecology, Charité Universitätsmedizin Berlin, Berlin, Germany.
  • Budczies J; Department of Gynecology, Charité Universitätsmedizin Berlin, Berlin, Germany.
  • Bockmayr M; Institute of Pathology, Charité Universitätsmedizin Berlin, Berlin, Germany.
  • Dietel M; VM Scope GmbH, Berlin, Germany.
  • Denkert C; Institute of Pathology, Charité Universitätsmedizin Berlin, Berlin, Germany.
  • Braicu I; Institute of Pathology, Charité Universitätsmedizin Berlin, Berlin, Germany.
  • Jöhrens K; Institute of Pathology, Charité Universitätsmedizin Berlin, Berlin, Germany.
Oncotarget ; 7(2): 1486-99, 2016 Jan 12.
Article en En | MEDLINE | ID: mdl-26625204
AIMS: Antibodies targeting the checkpoint molecules programmed cell death 1 (PD-1) and its ligand PD-L1 are emerging cancer therapeutics. We systematically investigated PD-1 and PD-L1 expression patterns in the poor-prognosis tumor entity high-grade serous ovarian carcinoma. METHODS: PD-1 and PD-L1 protein expression was determined by immunohistochemistry on tissue microarrays from 215 primary cancers both in cancer cells and in tumor-infiltrating lymphocytes (TILs). mRNA expression was measured by quantitative reverse transcription PCR. An in silico validation of mRNA data was performed in The Cancer Genome Atlas (TCGA) dataset. RESULTS: PD-1 and PD-L1 expression in cancer cells, CD3+, PD-1+, and PD-L1+ TILs densities as well as PD-1 and PD-L1 mRNA levels were positive prognostic factors for progression-free (PFS) and overall survival (OS), with all factors being significant for PFS (p < 0.035 each), and most being significant for OS. Most factors also had prognostic value that was independent from age, stage, and residual tumor. Moreover, high PD-1+ TILs as well as PD-L1+ TILs densities added prognostic value to CD3+TILs (PD-1+: p = 0.002,; PD-L1+: p = 0.002). The significant positive prognostic impact of PD-1 and PD-L1 mRNA expression could be reproduced in the TCGA gene expression datasets (p = 0.02 and p < 0.0001, respectively). CONCLUSIONS: Despite their reported immune-modulatory function, high PD-1 and PD-L1 levels are indicators of a favorable prognosis in ovarian cancer. Our data indicate that PD-1 and PD-L1 molecules are biologically relevant regulators of the immune response in high-grade serous ovarian carcinoma, which is an argument for the evaluation of immune checkpoint inhibiting drugs in this tumor entity.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Neoplasias Ováricas / Carcinoma / Biomarcadores de Tumor / Linfocitos Infiltrantes de Tumor / Neoplasias Quísticas, Mucinosas y Serosas / Antígeno B7-H1 / Receptor de Muerte Celular Programada 1 Tipo de estudio: Prognostic_studies Idioma: En Revista: Oncotarget Año: 2016 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Neoplasias Ováricas / Carcinoma / Biomarcadores de Tumor / Linfocitos Infiltrantes de Tumor / Neoplasias Quísticas, Mucinosas y Serosas / Antígeno B7-H1 / Receptor de Muerte Celular Programada 1 Tipo de estudio: Prognostic_studies Idioma: En Revista: Oncotarget Año: 2016 Tipo del documento: Article