Oncotarget · 2015 · 239 citations · 40 references
MedicineCancer BiologyOncologyCancer ImmunologyMolecular OncologyTumor ImmunologyCancer BiomarkersCancer ImmunotherapyCancer Molecular PathologyImmuno-oncology BiomarkersTumor MarkersTumor-associated AntigensHigh-grade Serous Ovarian CarcinomaImmune Checkpoint LigandsPrognostic Factors AnalysisPrognostic VariablesProgrammed Cell Death Protein 1 (Pd-1) PathwayProgrammed Death-ligand 1 BiomarkerProgrammed Death-ligand 1 InhibitionProgrammed Death-ligand 1 Upregulation
// Silvia Darb-Esfahani 1,2,* , Catarina Alisa Kunze 1,* , Hagen Kulbe 2,3 , Jalid Sehouli 2,3 , Stephan Wienert 1,4 , Judith Lindner 1 , Jan Budczies 1 , Michael Bockmayr 1 , Manfred Dietel 1 , Carsten Denkert 1,2 , Ioana Braicu 2,3 and Korinna Jöhrens 1 1 Institute of Pathology, Charité Universitätsmedizin Berlin, Berlin, Germany 2 Tumorbank Ovarian Cancer Network, Department of Gynecology, Charité Universitätsmedizin Berlin, Berlin, Germany 3 Department of Gynecology, Charité Universitätsmedizin Berlin, Berlin, Germany 4 VM Scope GmbH, Berlin, Germany * These authors have contributed equally to the work Correspondence to: Silvia Darb-Esfahani, email: // Keywords : high grade serous carcinoma, ovarian, PD-1, PD-L1, tumor-infiltrating lymphocytes Received : June 12, 2015 Accepted : November 15, 2015 Published : November 29, 2015 Abstract 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.
40
Integrated genomic analyses of ovarian carcinoma
Debra Bell, Andrew Berchuck, Narciso Olvera et al. · Nature · 2011 · 8.2K citations · Full text
Mutational landscape determines sensitivity to PD-1 blockade in non–small cell lung cancer
Naiyer A. Rizvi, Matthew D. Hellmann, Alexandra Snyder et al. · Science · 2015 · 7.9K citations
Medicine, Immunology, Oncology +17
PD-1 blockade induces responses by inhibiting adaptive immune resistance
Paul C. Tumeh, Christina L. Harview, Jennifer H. Yearley et al. · Nature · 2014 · 6.6K citations · Full text
Life Sciences, Immunology, Pathology +14
Pembrolizumab for the Treatment of Non–Small-Cell Lung Cancer
Edward B. Garon, Naiyer A. Rizvi, Rina Hui et al. · New England Journal of Medicine · 2015 · 6.2K citations · Full text
Medicine, Oncology, Pharmacology +17
Predictive correlates of response to the anti-PD-L1 antibody MPDL3280A in cancer patients
Roy S. Herbst, Jean‐Charles Soria, Marcin Kowanetz et al. · Nature · 2014 · 5.3K citations
Medicine, Immunology, Oncology +16