Evidence map›Paper›PMID 31485769›Full record

ArticleJournal of cancer research and clinical oncology2019

EP3 receptor is a prognostic factor in TA-MUC1-negative ovarian cancer.

Bastian Czogalla, Christina Kuhn, Sabine Heublein, Elisa Schmöckel, Doris Mayr, Thomas Kolben, Fabian Trillsch, Alexander Burges, Sven Mahner, Udo Jeschke and 1 more

Open access · greenAbstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

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  7. COX-2-PGEArchives of gynecology and obstetrics · 2020
    Review
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

11 authors at 3 institutions in 1 country.

Bastian CzogallaDepartment of Obstetrics and Gynecology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.ORCID http://orcid.org/0000-0001-6589-4736
Christina KuhnDepartment of Obstetrics and Gynecology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Sabine HeubleinDepartment of Obstetrics and Gynecology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Elisa SchmöckelDepartment of Pathology, Ludwig-Maximilians University of Munich, 81337, Munich, Germany.
Doris MayrDepartment of Pathology, Ludwig-Maximilians University of Munich, 81337, Munich, Germany.
Thomas KolbenDepartment of Obstetrics and Gynecology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Fabian TrillschDepartment of Obstetrics and Gynecology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Alexander BurgesDepartment of Obstetrics and Gynecology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Sven MahnerDepartment of Obstetrics and Gynecology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Udo JeschkeDepartment of Obstetrics and Gynecology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany. udo.jeschke@med.uni-muenchen.de.
Anna HesterDepartment of Obstetrics and Gynecology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
LMU Klinikum · DELudwig-Maximilians-Universität München · DEHeidelberg University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeProstaglandin-mediated inflammatory reactions play a major role in different cancers. Recently, it has been observed that prostaglandin E2-receptor 3 (EP3) might be an independent prognostic factor for overall survival in cervical and endometrial cancer. The role of EP3 expression in ovarian cancer is currently unknown.

methodsEP3 expression was analyzed by immunohistochemistry in 156 patient samples using the IR-scoring system. Expression levels were correlated with clinical and pathological parameters and with overall survival (OS) to assess for prognostic relevance. Data analysis was performed using Spearman's correlations, Kruskal-Wallis test and Kaplan-Meier estimates.

resultsEP3 expression was significantly higher in clear-cell carcinoma (p < 0.001) compared to the other histological subtypes. No further correlations with clinical parameters could be found. EP3 expression correlated significantly with FSH-receptor expression (p < 0.001), galectin-1 expression in the tumor (p = 0.012) and with cytoplasmatic TA-MUC1 expression (p = 0.001). None of these parameters showed significant correlation with OS. In the TA-MUC1 negative subgroup, EP3 negative patients showed significantly longer OS (median OS: 102 months vs. 34 months in EP3 positive patients, p = 0.035), while EP3 did not appear to have prognostic relevance in the TA-MUC1-positive subgroup.

conclusionThe potential prognostic relevance of EP3 expression for OS in TA-MUC1 negative patients might reflect an interplay between the COX and the MUC1 pathway, as it has been shown that MUC1 could induce COX2 expression. Our findings support the importance of the prostanoid signaling in TA-MUC1 negative ovarian cancer; however, future studies are necessary to characterize specific pathways and possible interactions.

Indexed as

Biomarkers, TumorCell Line, TumorFemaleHumansImmunohistochemistryMucin-1Neoplasm GradingNeoplasm MetastasisNeoplasm StagingOvarian NeoplasmsPrognosisReceptors, Prostaglandin E, EP3 SubtypeSurvival AnalysisBiomarkers, TumorMUC1 protein, humanMucin-1PTGER3 protein, humanReceptors, Prostaglandin E, EP3 SubtypeEP3GatipotuzumabOvarian cancerPrognostic factorTA-MUC1

Identifiers

PMID31485769
PMCPMC11810199
OpenAlexW2971941984

What OpenQuestion holds

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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.