Evidence map›Paper›PMID 26734993›Full record

ArticleOncotarget2016

Circulating microRNA-based screening tool for breast cancer.

Pierre Frères, Stéphane Wenric, Meriem Boukerroucha, Corinne Fasquelle, Jérôme Thiry, Nicolas Bovy, Ingrid Struman, Pierre Geurts, Joëlle Collignon, Hélène Schroeder and 6 more

Open access · diamondAbstract readComparative Study
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 4 pooled it
2.7field-weighted citation impact, top 10% 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

39 citing papers in PubMed, 4 syntheses or guidelines pooled it, 62 citations in OpenAlex.

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  16. Autoantibodies in Early Detection of Breast Cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
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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

16 authors at 3 institutions in 1 country.

Pierre FrèresUniversity Hospital (CHU), Department of Medical Oncology, Liège, Belgium.
Stéphane WenricUniversity of Liège, GIGA-Research, Laboratory of Human Genetics, Liège, Belgium.
Meriem BoukerrouchaUniversity of Liège, GIGA-Research, Laboratory of Human Genetics, Liège, Belgium.
Corinne FasquelleUniversity of Liège, GIGA-Research, Laboratory of Human Genetics, Liège, Belgium.
Jérôme ThiryUniversity of Liège, GIGA-Research, Laboratory of Human Genetics, Liège, Belgium.
Nicolas BovyUniversity of Liège, GIGA-Research, Laboratory of Molecular Angiogenesis, Liège, Belgium.
Ingrid StrumanUniversity of Liège, GIGA-Research, Laboratory of Molecular Angiogenesis, Liège, Belgium.
Pierre GeurtsUniversity of Liège, GIGA-Research, Department of EE and CS, Liège, Belgium.
Joëlle CollignonUniversity Hospital (CHU), Department of Medical Oncology, Liège, Belgium.
Hélène SchroederUniversity Hospital (CHU), Department of Medical Oncology, Liège, Belgium.
Frédéric KridelkaUniversity Hospital (CHU), Department of Gynecology, Liège, Belgium.
Eric LifrangeUniversity Hospital (CHU), Department of Senology, Liège, Belgium.
Véronique JossaClinique Saint-Vincent (CHC), Department of Pathology, Liège, Belgium.
Vincent BoursUniversity of Liège, GIGA-Research, Laboratory of Human Genetics, Liège, Belgium.
Claire JosseUniversity of Liège, GIGA-Research, Laboratory of Human Genetics, Liège, Belgium.
Guy JerusalemUniversity Hospital (CHU), Department of Medical Oncology, Liège, Belgium.
University of Liège · BECentre Hospitalier Universitaire de Liège · BEClinique Saint-Joseph · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circulating microRNAs (miRNAs) are increasingly recognized as powerful biomarkers in several pathologies, including breast cancer. Here, their plasmatic levels were measured to be used as an alternative screening procedure to mammography for breast cancer diagnosis.A plasma miRNA profile was determined by RT-qPCR in a cohort of 378 women. A diagnostic model was designed based on the expression of 8 miRNAs measured first in a profiling cohort composed of 41 primary breast cancers and 45 controls, and further validated in diverse cohorts composed of 108 primary breast cancers, 88 controls, 35 breast cancers in remission, 31 metastatic breast cancers and 30 gynecologic tumors.A receiver operating characteristic curve derived from the 8-miRNA random forest based diagnostic tool exhibited an area under the curve of 0.81. The accuracy of the diagnostic tool remained unchanged considering age and tumor stage. The miRNA signature correctly identified patients with metastatic breast cancer. The use of the classification model on cohorts of patients with breast cancers in remission and with gynecologic cancers yielded prediction distributions similar to that of the control group.Using a multivariate supervised learning method and a set of 8 circulating miRNAs, we designed an accurate, minimally invasive screening tool for breast cancer.

Indexed as

Early Detection of CancerAdultAgedAged, 80 and overBiomarkers, TumorBreast NeoplasmsCarcinoma, Ductal, BreastCarcinoma, LobularCase-Control StudiesCohort StudiesErb-b2 Receptor Tyrosine KinasesFemaleFollow-Up StudiesGene Expression ProfilingGene Expression Regulation, NeoplasticHumansBiomarkers, TumorERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesMicroRNAsReceptors, EstrogenReceptors, ProgesteroneRNA, Messengerbiomarkersbreast cancercirculating microRNAsminimally invasive screening

Identifiers

PMID26734993
PMCPMC4868695
OpenAlexW2205620541

What OpenQuestion holds

Textmetadata
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.