Evidence map›Paper›PMID 26625204›Full record

ArticleOncotarget2016

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.

Silvia Darb-Esfahani, Catarina Alisa Kunze, Hagen Kulbe, Jalid Sehouli, Stephan Wienert, Judith Lindner, Jan Budczies, Michael Bockmayr, Manfred Dietel, Carsten Denkert and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 140 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
140citing papers in PubMed, 6 pooled it
13.8field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

140 citing papers in PubMed, 6 syntheses or guidelines pooled it, 238 citations in OpenAlex.

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  15. Composite score of PD-1Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2025
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80 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 1 institution in 1 country.

Silvia Darb-EsfahaniInstitute of Pathology, Charité Universitätsmedizin Berlin, Berlin, Germany.
Catarina Alisa KunzeInstitute of Pathology, Charité Universitätsmedizin Berlin, Berlin, Germany.
Hagen KulbeTumorbank Ovarian Cancer Network, Department of Gynecology, Charité Universitätsmedizin Berlin, Berlin, Germany.
Jalid SehouliTumorbank Ovarian Cancer Network, Department of Gynecology, Charité Universitätsmedizin Berlin, Berlin, Germany.
Stephan WienertInstitute of Pathology, Charité Universitätsmedizin Berlin, Berlin, Germany.
Judith LindnerInstitute of Pathology, Charité Universitätsmedizin Berlin, Berlin, Germany.
Jan BudcziesInstitute of Pathology, Charité Universitätsmedizin Berlin, Berlin, Germany.
Michael BockmayrInstitute of Pathology, Charité Universitätsmedizin Berlin, Berlin, Germany.
Manfred DietelInstitute of Pathology, Charité Universitätsmedizin Berlin, Berlin, Germany.
Carsten DenkertInstitute of Pathology, Charité Universitätsmedizin Berlin, Berlin, Germany.
Ioana BraicuTumorbank Ovarian Cancer Network, Department of Gynecology, Charité Universitätsmedizin Berlin, Berlin, Germany.
Korinna JöhrensInstitute of Pathology, Charité Universitätsmedizin Berlin, Berlin, Germany.
Charité - Universitätsmedizin Berlin · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsAntibodies 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.

methodsPD-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.

resultsPD-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).

conclusionsDespite 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.

Indexed as

B7-H1 AntigenBiomarkers, TumorCarcinomaDatabases, GeneticDisease-Free SurvivalFemaleGene Expression Regulation, NeoplasticHumansImmunohistochemistryKaplan-Meier EstimateLymphocytes, Tumor-InfiltratingMiddle AgedNeoplasm GradingNeoplasms, Cystic, Mucinous, and SerousOvarian NeoplasmsProgrammed Cell Death 1 ReceptorB7-H1 AntigenBiomarkers, TumorCD274 protein, humanPDCD1 protein, humanProgrammed Cell Death 1 ReceptorRNA, Messengerhigh grade serous carcinomaovarianPD-1PD-L1tumor-infiltrating lymphocytes

Identifiers

PMID26625204
PMCPMC4811475
OpenAlexW2186690436

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.