Evidence map›Paper›PMID 23090696›Full record

ArticleJournal of cancer research and clinical oncology2013

Systematic analysis and validation of differential gene expression in ovarian serous adenocarcinomas and normal ovary.

Dirk Bauerschlag, Karen Bräutigam, Roland Moll, Jalid Sehouli, Alexander Mustea, Darius Salehin, Maryla Krajewska, John C Reed, Nicolai Maass, Garret M Hampton and 1 more

Open access · greenAbstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 22% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

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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

11 authors at 6 institutions in 2 countries.

Dirk BauerschlagDepartment of Gynecology and Obstetrics, University Medical Center RWTH, Pauwelsstrasse 30, 52074 Aachen, Germany. dbauerschlag@hotmail.com
Karen Bräutigam
Roland Moll
Jalid Sehouli
Alexander Mustea
Darius Salehin
Maryla Krajewska
John C Reed
Nicolai Maass
Garret M Hampton
Ivo Meinhold-Heerlein
RWTH Aachen University · DESanford Burnham Prebys Medical Discovery Institute · USCharité - Universitätsmedizin Berlin · DEHelios Klinikum Krefeld · DEPhilipps University of Marburg · DEUniversitätsmedizin Greifswald · DE

Funding

Apoptosis Biomarkers for Predicting Outcomes of Patients with Colon CancerR21CA152794 · NCI · SANFORD BURNHAM PREBYS MEDICAL DISCOVERY INSTITUTE · PI KRAJEWSKI, STAN · 2010 to 2011
$449k
NCI NIH HHS 5R21CA152794-02NCI NIH HHS R21 CA152794
6 · The paper itself

Abstract

purposeCancer of the ovary confers the worst prognosis among women with gynecological malignancies, primarily because most ovarian cancers are diagnosed at late stage. Hence, there is a substantial need to develop new diagnostic biomarkers to enable detection of ovarian cancer at earlier stages, which would confer better prognosis. In addition, the identification of druggable targets is of substantial interest to find new therapeutic strategies for ovarian cancer.

methodsThe expression of 22,500 genes in a series of 67 serous papillary carcinomas was compared with 9 crudely enriched normal ovarian tissue samples by RNA hybridization on oligonucleotide microarrays. Multiple genes with near-uniformly expression were elevated in carcinomas of varying grade and malignant potential, including several previously described genes (e.g., MUC-1, CD9, CD24, claudin 3, and mesothelin). We performed immunohistochemical staining with antibodies against several of the proteins encoded by differentially expressed genes in an independent cohort of 71 cases of paraffin-embedded ovarian cancer samples.

resultsWe found striking differences in EpCAM (p < 0.005), CD9 (p < 0.001), MUC-1 (p < 0.001), and claudin 3 proteins (p < 0.001) but not for mesothelin (p > 0.05) using the Mann-Whitney U test.

conclusionsProtein expression of a majority of the differentially expressed genes tested was found to be elevated in ovarian carcinomas and, as such, define potential new biomarkers or targets.

Indexed as

Gene Expression ProfilingGene Expression Regulation, NeoplasticCluster AnalysisCystadenocarcinoma, SerousFemaleHumansOvarian NeoplasmsOvary

Identifiers

PMID23090696
PMCPMC11824236
OpenAlexW2153697438

What OpenQuestion holds

Textmetadata
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.