Evidence map›Paper›PMID 28199976›Full record

ArticleOncotarget2017

ELF3 is a negative regulator of epithelial-mesenchymal transition in ovarian cancer cells.

Tsz-Lun Yeung, Cecilia S Leung, Kwong-Kwok Wong, Arthur Gutierrez-Hartmann, Joseph Kwong, David M Gershenson, Samuel C Mok

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 2 pooled it
6.0field-weighted citation impact, top 3% 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

59 citing papers in PubMed, 2 syntheses or guidelines pooled it, 127 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

7 authors at 3 institutions in 2 countries.

Tsz-Lun YeungDepartment of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Cecilia S LeungDepartment of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Kwong-Kwok WongDepartment of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Arthur Gutierrez-HartmannAnschutz Medical Campus, University of Colorado Denver, Aurora, CO, USA.
Joseph KwongDepartment of Obstetrics and Gynecology, The Chinese University of Hong Kong, Hong Kong.
David M GershensonDepartment of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Samuel C MokDepartment of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
The University of Texas MD Anderson Cancer Center · USChinese University of Hong Kong · CNUniversity of Colorado Anschutz Medical Campus · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
UNIVERSITY OF TEXAS MD ANDERSON SPORE IN OVARIAN CANCERP50CA083639 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI BAST, ROBERT C · 1999 to 2015
$33.0M
The FGF18/FGFR4 amplicon: Novel therapeutic biomarkers for ovarian cancerR01CA169200 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BIRRER, MICHAEL, MOK, SAMUEL C · 2013 to 2017
$1.9M
Prognostic markers for ovarian cancerR01CA133057 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI MOK, SAMUEL C · 2009 to 2013
$1.5M
NCI NIH HHS P30 CA016672NCI NIH HHS P50 CA083639NCI NIH HHS R01 CA133057NCI NIH HHS R01 CA169200
6 · The paper itself

Abstract

Transcription factors are master switches for various biochemical pathways. However, transcription factors involved in the pathogenesis of ovarian cancer have yet to be explored thoroughly. Therefore, in the present study, we assessed the prognostic value of the transcription factor E74-like factor 3 (ELF3) identified via transcriptome profiling of the epithelial components of microdissected ovarian tumor samples isolated from long- and short-term survivors and determined its roles in ovarian cancer pathogenesis. Immunohistochemical analysis of ELF3 in tumor tissue sections suggested that ELF3 was exclusively expressed by epithelial ovarian cancer cells. Furthermore, using 112 high-grade ovarian cancer samples isolated from patients and The Cancer Genome Atlas (TCGA) data, we found that downregulation of ELF3 expression was markedly associated with reduced survival. Functional studies demonstrated that overexpression of ELF3 in ovarian cancer cells suppressed proliferation and anchorage-dependent growth of the cells and that ELF3 silencing increased cell proliferation. Furthermore, upregulation of ELF3 increased expression of epithelial markers, decreased expression of mesenchymal markers, and mediated translocation of epithelial-mesenchymal transition (EMT) signaling molecules in ovarian cancer cells. Finally, we validated the tumor-inhibitory roles of ELF3 using animal models. In conclusion, ELF3 is a favorable prognostic marker for ovarian cancer. As a negative regulator of EMT, ELF3-modulated reversal of EMT may be a new effective modality in the treatment of ovarian cancer.

Indexed as

Gene Expression Regulation, NeoplasticBiomarkers, TumorBlotting, WesternCell Line, TumorCell ProliferationDNA-Binding ProteinsEpithelial-Mesenchymal TransitionFemaleGene Expression ProfilingHumansKaplan-Meier EstimateMicroscopy, ConfocalOvarian NeoplasmsPrognosisProportional Hazards ModelsProto-Oncogene Proteins c-etsBiomarkers, TumorDNA-Binding ProteinsELF3 protein, humanProto-Oncogene Proteins c-etsTranscription FactorsELF3epithelial-mesenchymal transitionmesenchymal-epithelial transitionovarian carcinomapatient survival

Identifiers

PMID28199976
PMCPMC5370013
OpenAlexW2588419755

What OpenQuestion holds

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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.