Evidence map›Paper›PMID 31533654›Full record

ArticleBMC cancer2019

Immunohistochemical validation of COL3A1, GPR158 and PITHD1 as prognostic biomarkers in early-stage ovarian carcinomas.

Hanna Engqvist, Toshima Z Parris, Anikó Kovács, Szilárd Nemes, Elisabeth Werner Rönnerman, Shahin De Lara, Jana Biermann, Karin Sundfeldt, Per Karlsson, Khalil Helou

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
7.0field-weighted citation impact, top 2% 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

31 citing papers in PubMed, 75 citations in OpenAlex.

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  20. The emerging roles of GPR158 in the regulation of the endocrine system.Frontiers in cell and developmental biology · 2022
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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

10 authors at 2 institutions in 1 country.

Hanna EngqvistDepartment of Oncology, Institute of Clinical Sciences, Sahlgrenska Cancer Center, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden. hanna.engqvist@gu.se.ORCID http://orcid.org/0000-0001-9044-5289
Toshima Z ParrisDepartment of Oncology, Institute of Clinical Sciences, Sahlgrenska Cancer Center, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden.
Anikó KovácsDepartment of Clinical Pathology, Sahlgrenska University Hospital, Gothenburg, Sweden.
Szilárd NemesDepartment of Orthopaedics, Institute of Clinical Sciences, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden.
Elisabeth Werner RönnermanDepartment of Oncology, Institute of Clinical Sciences, Sahlgrenska Cancer Center, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden.
Shahin De LaraDepartment of Clinical Pathology, Sahlgrenska University Hospital, Gothenburg, Sweden.
Jana BiermannDepartment of Oncology, Institute of Clinical Sciences, Sahlgrenska Cancer Center, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden.
Karin SundfeldtDepartment of Obstetrics and Gynecology, Institute of Clinical Sciences, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden.
Per KarlssonDepartment of Oncology, Institute of Clinical Sciences, Sahlgrenska Cancer Center, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden.
Khalil HelouDepartment of Oncology, Institute of Clinical Sciences, Sahlgrenska Cancer Center, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden.
University of Gothenburg · SESahlgrenska University Hospital · SE

Funding

Cancerfonden CAN 2018/417Stiftelsen Assar Gabrielssons Fond FB 17-08, FB 18-69Stiftelsen Jubileumsklinikens Forskningsfond mot Cancer 2017:144
6 · The paper itself

Abstract

backgroundOvarian cancer is the main cause of gynecological cancer-associated death. However, 5-year survival rates differ dramatically between the five main ovarian carcinoma histotypes. Therefore, we need to have a better understanding of the mechanisms that promote histotype-specific ovarian carcinogenesis and identify novel prognostic biomarkers.

methodsHere, we evaluated the prognostic role of 29 genes for early-stage (I and II) ovarian carcinomas (n = 206) using immunohistochemistry (IHC).

resultsWe provide evidence of aberrant protein expression patterns for Collagen type III alpha 1 chain (COL3A1), G protein-coupled receptor 158 (GPR158) and PITH domain containing 1 (PITHD1). Kaplan-Meier survival analysis revealed that COL3A1 expression was associated with shorter overall survival in the four major histotypes of epithelial ovarian carcinoma patients (P value = 0.026, HR = 2.99 (95% CI 1.089-8.19)). Furthermore, GPR158 and PITHD1 were shown to be histotype-specific prognostic biomarkers, with elevated GPR158 expression patterns in mucinous ovarian carcinoma patients with unfavorable overall survival (P value = 0.00043, HR = 6.13 (95% CI 1.98-18.98)), and an association with lower PITHD1 protein expression and unfavorable overall and disease-specific survival in clear-cell ovarian carcinoma patients (P value = 0.012, HR = 0.22 (95% CI 0.058-0.80); P value = 0.003, HR = 0.17 (95% CI 0.043-0.64)).

conclusionsThe novel biomarkers identified here may improve prognostication at the time of diagnosis and may assist in the development of future individualized therapeutic strategies for ovarian carcinoma patients.

Indexed as

Adenocarcinoma, Clear CellAdenocarcinoma, MucinousAdultAgedAged, 80 and overBiomarkers, TumorCollagen Type IIIDisease ProgressionFemaleHumansImmunohistochemistryKaplan-Meier EstimateMiddle AgedOvarian NeoplasmsPrognosisProteinsBiomarkers, TumorCOL3A1 protein, humanCollagen Type IIIGPR158 protein, humanPITHD1 protein, humanProteinsReceptors, G-Protein-CoupledClear-cell ovarian cancerImmunohistochemistryMucinous ovarian cancerOvarian cancerPrognostic biomarker

Identifiers

PMID31533654
PMCPMC6751742
OpenAlexW2973562452

What OpenQuestion holds

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Registered trials

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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.