Evidence map›Paper›PMID 26981633›Full record

ArticlePloS one2016

REG4 Is Highly Expressed in Mucinous Ovarian Cancer: A Potential Novel Serum Biomarker.

Laura Lehtinen, Pia Vesterkvist, Pia Roering, Taina Korpela, Liisa Hattara, Katja Kaipio, John-Patrick Mpindi, Johanna Hynninen, Annika Auranen, Ben Davidson and 5 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 8% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
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  6. Review
  7. Article
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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

15 authors at 6 institutions in 2 countries.

Laura LehtinenDepartment of Pathology, University of Turku and Turku University Hospital, Turku, Finland.
Pia VesterkvistVTT Technical Research Centre of Finland, Espoo and Turku Centre for Biotechnology, University of Turku, Turku, Finland.
Pia RoeringDepartment of Pathology, University of Turku and Turku University Hospital, Turku, Finland.
Taina KorpelaDepartment of Pathology, University of Turku and Turku University Hospital, Turku, Finland.
Liisa HattaraVTT Technical Research Centre of Finland, Espoo and Turku Centre for Biotechnology, University of Turku, Turku, Finland.
Katja KaipioDepartment of Pathology, University of Turku and Turku University Hospital, Turku, Finland.
John-Patrick MpindiFIMM, Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland.
Johanna HynninenDepartment of Obstetrics and Gynecology, Turku University Hospital, University of Turku, Turku, Finland.
Annika AuranenDepartment of Obstetrics and Gynecology, Turku University Hospital, University of Turku, Turku, Finland.
Ben DavidsonDepartment of Pathology, Oslo University Hospital, Norwegian Radium Hospital, Oslo, Norway.
Caj HaglundDepartment of Surgery, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Kristiina IljinVTT Technical Research Centre of Finland, Espoo and Turku Centre for Biotechnology, University of Turku, Turku, Finland.
Seija GrenmanDepartment of Obstetrics and Gynecology, Turku University Hospital, University of Turku, Turku, Finland.
Harri SiitariVTT Technical Research Centre of Finland, Espoo and Turku Centre for Biotechnology, University of Turku, Turku, Finland.
Olli CarpenDepartment of Pathology, University of Turku and Turku University Hospital, Turku, Finland.
University of Turku · FITurku University Hospital · FIHelsinki University Hospital · FIOslo University Hospital · NOUniversity of Helsinki · FIVTT Technical Research Centre of Finland · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Preoperative diagnostics of ovarian neoplasms rely on ultrasound imaging and the serum biomarkers CA125 and HE4. However, these markers may be elevated in non-neoplastic conditions and may fail to identify most non-serous epithelial cancer subtypes. The objective of this study was to identify histotype-specific serum biomarkers for mucinous ovarian cancer. The candidate genes with mucinous histotype specific expression profile were identified from publicly available gene-expression databases and further in silico data mining was performed utilizing the MediSapiens database. Candidate biomarker validation was done using qRT-PCR, western blotting and immunohistochemical staining of tumor tissue microarrays. The expression level of the candidate gene in serum was compared to the serum CA125 and HE4 levels in a patient cohort of prospectively collected advanced ovarian cancer. Database searches identified REG4 as a potential biomarker with specificity for the mucinous ovarian cancer subtype. The specific expression within epithelial ovarian tumors was further confirmed by mRNA analysis. Immunohistochemical staining of ovarian tumor tissue arrays showed distinctive cytoplasmic expression pattern only in mucinous carcinomas and suggested differential expression between benign and malignant mucinous neoplasms. Finally, an ELISA based serum biomarker assay demonstrated increased expression only in patients with mucinous ovarian cancer. This study identifies REG4 as a potential serum biomarker for histotype-specific detection of mucinous ovarian cancer and suggests serum REG4 measurement as a non-invasive diagnostic tool for postoperative follow-up of patients with mucinous ovarian cancer.

Indexed as

Adenocarcinoma, MucinousBiomarkers, TumorCA-125 AntigenDatabases, FactualFemaleHumansLectins, C-TypeOvarian NeoplasmsPancreatitis-Associated ProteinsProteinsWAP Four-Disulfide Core Domain Protein 2Biomarkers, TumorCA-125 AntigenLectins, C-TypePancreatitis-Associated ProteinsProteinsREG4 protein, humanWAP Four-Disulfide Core Domain Protein 2WFDC2 protein, human

Identifiers

PMID26981633
PMCPMC4794165
OpenAlexW2301461021

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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.