Evidence map›Paper›PMID 23362326›Full record

Trial reportClinical cancer research : an official journal of the American Association for Cancer Research2013

Plasma microRNAs as novel biomarkers for endometriosis and endometriosis-associated ovarian cancer.

Swati Suryawanshi, Anda M Vlad, Hui-Min Lin, Gina Mantia-Smaldone, Robin Laskey, Minjae Lee, Yan Lin, Nicole Donnellan, Marcia Klein-Patel, Ted Lee and 5 more

Open access · greenAbstract readComparative StudyRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Clinical cancer research : an official journal of the American Association for Cancer Research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 105 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
105citing papers in PubMed, 11 pooled it
31.3field-weighted citation impact, top 1% 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

105 citing papers in PubMed, 11 syntheses or guidelines pooled it, 193 citations in OpenAlex.

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  5. Liquid Biopsy in Endometriosis: A Systematic Review.International journal of molecular sciences · 2023
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  11. Blood biomarkers for the non-invasive diagnosis of endometriosis.The Cochrane database of systematic reviews · 2016
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45 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 7 institutions in 1 country.

Swati SuryawanshiMagee-Womens Research Institute, Department of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA.
Anda M Vlad
Hui-Min Lin
Gina Mantia-Smaldone
Robin Laskey
Minjae Lee
Yan Lin
Nicole Donnellan
Marcia Klein-Patel
Ted Lee
Suketu Mansuria
Esther Elishaev
Raluca Budiu
Robert P Edwards
Xin Huang
Magee-Womens Hospital · USCancer Research Center · USGynecologic Oncology Group · USMagee-Womens Research Institute · USUniversity of Pittsburgh Medical Center · USHospital of the University of Pennsylvania · USUPMC Hillman Cancer Center · US

Funding

VECTOR CORE FACILITYP30CA047904 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Jessie Nedrow · 1988 to 2026
$158.0M
University of Pittsburgh Clinical and Translational Science InstituteUL1TR000005 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2012 to 2015
$50.8M
MUC1 Roles in ovarian cancer pathogenesis and immune therapyR01CA163462 · NCI · MAGEE-WOMEN'S RES INST AND FOUNDATION · PI VLAD, ANDA M · 2012 to 2016
$1.4M
NCATS NIH HHS UL1 TR000005NCI NIH HHS NIH/NCI 1 R01 CA163462-01NCI NIH HHS P30 CA047904NCI NIH HHS R01 CA163462
6 · The paper itself

Abstract

purposeEndometriosis, a largely benign, chronic inflammatory disease, is an independent risk factor for endometrioid and clear cell epithelial ovarian tumors. We aimed to identify plasma miRNAs that can be used to differentiate patients with endometriosis and ovarian cancer from healthy individuals. EXPERIMENTAL

designWe conducted a two-stage exploratory study to investigate the use of plasma miRNA profiling to differentiate between patients with endometriosis, patients with endometriosis-associated ovarian cancer (EAOC), and healthy individuals. In the first stage, using global profiling of more than 1,000 miRNAs via reverse transcriptase quantitative PCR (RT-qPCR) in a 20-patient initial screening cohort, we identified 23 candidate miRNAs, which are differentially expressed between healthy controls (n = 6), patients with endometriosis (n = 7), and patients with EAOC (n = 7) based on the fold changes. In the second stage, the 23 miRNAs were further tested in an expanded cohort (n = 88) of healthy individuals (n = 20), endometriosis (n = 33), EAOC (n = 14), and serous ovarian cancer cases (SOC; n = 21, included as controls).

resultsWe identified three distinct miRNA signatures with reliable differential expression between healthy individuals, patients with endometriosis, and patients with EAOC. When profiled against the control SOC category, our results revealed different miRNAs, suggesting that the identified signatures are reflective of disease-specific pathogenic mechanisms. This was further supported by the fact that the majority of miRNAs differentially expressed in human EAOCs were mirrored in a double transgenic mouse EAOC model.

conclusionOur study reports for the first time that distinct plasma miRNA expression patterns may serve as highly specific and sensitive diagnostic biomarkers to discriminate between healthy, endometriosis, and EAOC cases.

Indexed as

Adenocarcinoma, Clear CellAdultAgedAnimalsBiomarkers, TumorCase-Control StudiesCystadenocarcinoma, SerousEndometriosisEndometriumFemaleFollow-Up StudiesGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMiceMice, KnockoutBiomarkers, TumorHras protein, mouseMicroRNAsProto-Oncogene Proteins p21(ras)PTEN PhosphohydrolasePten protein, mouse

Identifiers

PMID23362326
PMCPMC3596045
OpenAlexW2153569033

What OpenQuestion holds

Textmetadata
LicenceTDM
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.