Evidence map›Paper›PMID 28871211›Full record

ArticleScientific reports2017

Functional prediction of long non-coding RNAs in ovarian cancer-associated fibroblasts indicate a potential role in metastasis.

Fatemeh Vafaee, Emily K Colvin, Samuel C Mok, Viive M Howell, Goli Samimi

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 15% 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 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

5 authors at 4 institutions in 2 countries.

Fatemeh VafaeeSchool of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW 2052, Australia.
Emily K ColvinBill Walsh Translational Cancer Research Laboratory, Kolling Institute, Northern Sydney Local Health District, St Leonards, NSW 2065, Australia. emily.colvin@sydney.edu.au.
Samuel C MokDepartment of Gynecologic Oncology and Reproductive Medicine Research, Division of Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Viive M HowellBill Walsh Translational Cancer Research Laboratory, Kolling Institute, Northern Sydney Local Health District, St Leonards, NSW 2065, Australia.ORCID 0000-0002-2356-3231
Goli SamimiDivision of Cancer Prevention, National Cancer Institute, National Institutes of Health, Bethesda, MD, United States.
The University of Sydney · AUNational Institutes of Health · USThe University of Texas MD Anderson Cancer Center · USUNSW Sydney · AU

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
Novel Biomarkers in Ovarian CancerR01CA142832 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI BIRRER, MICHAEL · 2010 to 2014
$1.7M
NCI NIH HHS P30 CA016672NCI NIH HHS P50 CA083639NCI NIH HHS R01 CA142832NCI NIH HHS R01 CA169200
6 · The paper itself

Abstract

Cancer-associated fibroblasts (CAFs) contribute to the poor prognosis of ovarian cancer. Unlike in tumour cells, DNA mutations are rare in CAFs, raising the likelihood of other mechanisms that regulate gene expression such as long non-coding RNAs (lncRNAs). We aimed to identify lncRNAs that contribute to the tumour-promoting phenotype of CAFs. RNA expression from 67 ovarian CAF samples and 10 normal ovarian fibroblast (NOF) samples were analysed to identify differentially expressed lncRNAs and a functional network was constructed to predict those CAF-specific lncRNAs involved in metastasis. Of the 1,970 lncRNAs available for analysis on the gene expression array used, 39 unique lncRNAs were identified as differentially expressed in CAFs versus NOFs. The predictive power of differentially expressed lncRNAs in distinguishing CAFs from NOFs were assessed using multiple multivariate models. Interrogation of known transcription factor-lncRNA interactions, transcription factor-gene interactions and construction of a context-specific interaction network identified multiple lncRNAs predicted to play a role in metastasis. We have identified novel lncRNAs in ovarian cancer that are differentially expressed in CAFs compared to NOFs and are predicted to contribute to the metastasis-promoting phenotype of CAFs.

Indexed as

AgedCancer-Associated FibroblastsComputational BiologyFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMiddle AgedNeoplasm MetastasisNeoplasm StagingOvarian NeoplasmsRNA, Long NoncodingTranscriptomeRNA, Long Noncoding

Identifiers

PMID28871211
PMCPMC5583324
OpenAlexW2752355856

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.