Evidence map›Paper›PMID 31316774›Full record

ArticleMolecular and clinical oncology2019

Circulating miR-141-3p, miR-143-3p and miR-200c-3p are differentially expressed in colorectal cancer and advanced adenomas.

Héctor Javier Ardila, María Carolina Sanabria-Salas, Ximena Meneses, Rafael Rios, Antonio Huertas-Salgado, Martha Lucía Serrano

Open access · diamondAbstract read
In one paragraph

Article in Molecular and clinical oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
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

29 citing papers in PubMed, 42 citations in OpenAlex.

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  19. Dynamic alternative polyadenylation during iPSC differentiation into cardiomyocytes.Computational and structural biotechnology journal · 2022
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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

6 authors at 2 institutions in 1 country.

Héctor Javier ArdilaGrupo de Investigación en Biología del Cáncer, Instituto Nacional de Cancerología, Bogotá, Colombia.
María Carolina Sanabria-SalasGrupo de Investigación en Biología del Cáncer, Instituto Nacional de Cancerología, Bogotá, Colombia.
Ximena MenesesUnidad de Análisis, Instituto Nacional de Cancerología, Bogotá, Colombia.
Rafael RiosUnidad de Genética y Resistencia Antimicrobiana, Centro Internacional de Genómica Microbiana, Universidad el Bosque, Bogotá, Colombia.
Antonio Huertas-SalgadoBanco Nacional de Tumores Terry Fox, Instituto Nacional de Cancerología, Bogotá, Colombia.
Martha Lucía SerranoGrupo de Investigación en Biología del Cáncer, Instituto Nacional de Cancerología, Bogotá, Colombia.
Instituto Nacional de Cancerología · COUniversidad El Bosque · CO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer (CRC) is one of the prominent causes of cancer related deaths because, in part, there is not an early, non-invasive, effective detection strategy. Circulating microRNAs (miRNAs) have been proposed as potential non-invasive biomarkers for CRC. In this study, we evaluated the miRNA profile in sixteen CRC tissues by Next-Generation-Sequencing and compared the circulating expression levels of 22 miRNAs among 45 CRC, 14 hyperplastic polyps, 11 advanced adenoma patients and 45 control subjects, by reverse transcription-quantitative PCR, to search for miRNAs which could be potential biomarkers. In total, nine of them represented 70% of total read counts (miR-10a-5p, miR-192-5p, miR-10b-5p, miR-22-3p, miR-26a-5p, miR-148a-3p, miR-181a-5p, miR-92a-3p and miR-143-5p).

Indexed as

adenomascancer biomarkercolorectal neoplasmsmicroRNAsignal pathway

Identifiers

PMID31316774
PMCPMC6604408
OpenAlexW2950632370

What OpenQuestion holds

Textmetadata
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.