Evidence map›Paper›PMID 32316350›Full record

ArticleInternational journal of molecular sciences2020

A Tetra-Panel of Serum Circulating miRNAs for the Diagnosis of the Four Most Prevalent Tumor Types.

Belén Pastor-Navarro, María García-Flores, Antonio Fernández-Serra, Salvador Blanch-Tormo, Fernando Martínez de Juan, Carmen Martínez-Lapiedra, Fernanda Maia de Alcantara, Juan Carlos Peñalver, José Cervera-Deval, José Rubio-Briones and 2 more

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 3 pooled it
0.7field-weighted citation impact, top 36% 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

11 citing papers in PubMed, 3 syntheses or guidelines pooled it, 19 citations in OpenAlex.

  1. Pooled it
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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

12 authors at 3 institutions in 1 country.

Belén Pastor-NavarroLaboratory of Molecular Biology, Fundación Instituto Valenciano de Oncología, 46009 Valencia, Spain.
María García-FloresLaboratory of Molecular Biology, Fundación Instituto Valenciano de Oncología, 46009 Valencia, Spain.
Antonio Fernández-SerraLaboratory of Molecular Biology, Fundación Instituto Valenciano de Oncología, 46009 Valencia, Spain.
Salvador Blanch-TormoDepartment of Medical Oncology, Fundación Instituto Valenciano de Oncología, 46009 Valencia, Spain.
Fernando Martínez de JuanUnit of Gastroenterology, Fundación Instituto Valenciano de Oncología, 46009 Valencia, Spain.
Carmen Martínez-LapiedraUnit of Gastroenterology, Fundación Instituto Valenciano de Oncología, 46009 Valencia, Spain.
Fernanda Maia de AlcantaraUnit of Gastroenterology, Fundación Instituto Valenciano de Oncología, 46009 Valencia, Spain.
Juan Carlos PeñalverDepartment of Thoracic Surgery, Fundación Instituto Valenciano de Oncología, 46009 Valencia, Spain.
José Cervera-DevalDepartment of Radiology, Fundación Instituto Valenciano de Oncología, 46009 Valencia, Spain.
José Rubio-BrionesDepartment of Urology, Fundación Instituto Valenciano de Oncología, 46009 Valencia, Spain.
Jaime García-RupérezNanophotonics Technology Center, Universitat Politècnica de València, 46022 Valencia, Spain.
José Antonio López-GuerreroLaboratory of Molecular Biology, Fundación Instituto Valenciano de Oncología, 46009 Valencia, Spain.ORCID 0000-0002-7369-8388
Fundación Instituto Valenciano de Oncología · ESUniversitat de València · ESUniversitat Politècnica de València · ES

Funding

Conselleria d'Educació, Investigació, Cultura i Esport PROMETEO 2016/103Horizon 2020 Framework Programme H2020-ICT-2014-1-644242
6 · The paper itself

Abstract

The purpose of this study is to clinically validate a series of circulating miRNAs that distinguish between the 4 most prevalent tumor types (lung cancer (LC); breast cancer (BC); colorectal cancer (CRC); and prostate cancer (PCa)) and healthy donors (HDs). A total of 18 miRNAs and 3 housekeeping miRNA genes were evaluated by qRT-PCR on RNA extracted from serum of cancer patients, 44 LC, 45 BC, 27 CRC, and 40 PCa, and on 45 HDs. The cancer detection performance of the miRNA expression levels was evaluated by studying the area under the curve (AUC) of receiver operating characteristic (ROC) curves at univariate and multivariate levels. miR-21 was significantly overexpressed in all cancer types compared with HDs, with accuracy of 67.5% (

Indexed as

AdultAgedAged, 80 and overArea Under CurveBreast NeoplasmsCase-Control StudiesCirculating MicroRNAColorectal NeoplasmsEarly Detection of CancerFemaleHumansLung NeoplasmsMaleMiddle AgedMultivariate AnalysisNeoplasm StagingCirculating MicroRNAbreast cancercirculating microRNAscolorectal cancerEarly diagnosislung cancerprostate cancer

Identifiers

PMID32316350
PMCPMC7215589
OpenAlexW3016662548

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.