Evidence map›Paper›PMID 33086498›Full record

ArticleInternational journal of molecular sciences2020

A Bioinformatic Pipeline Places STAT5A as a miR-650 Target in Poorly Differentiated Aggressive Breast Cancer.

Eric López-Huerta, Ezequiel M Fuentes-Pananá

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 54% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Functions and mechanisms of miR-650 in human diseases.Frontiers in molecular biosciences · 2026
    Review
  2. Article
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

2 authors at 1 institution in 1 country.

Eric López-HuertaM. Sc. Program in Biochemical Science, National Autonomous University of Mexico, 04510 Mexico City, Mexico.
Ezequiel M Fuentes-PananáResearch Unit in Virology and Cancer, Children's Hospital of Mexico Federico Gómez, 06720 Mexico City, Mexico.ORCID 0000-0003-2872-0459
Hospital Infantil de México Federico Gómez · MX

Funding

Consejo Nacional de Ciencia y Tecnología FONSEC SSA/IMSS/ISSSTE Project no. 233061Hospital Infantil de México Federico Gómez HIM-2019-027
6 · The paper itself

Abstract

Breast cancer (BRCA) is a leading cause of mortality among women. Tumors often acquire aggressive features through genomic aberrations affecting cellular programs, e.g., the epithelial to mesenchymal transition (EMT). EMT facilitates metastasis leading to poor prognosis. We previously observed a correlation between an amplification of miR-650 (Amp-650) and EMT features in BRCA samples isolated from Mexican patients. In this study, we explored the cBioportal database aiming to extend that observation and better understand the importance of Amp-650 for BRCA aggressiveness. We found that Amp-650 is more frequent in aggressive molecular subtypes of BRCA, as well as in high grade poorly differentiated tumors, which we confirmed in an external miRNA expression database. We performed differential expression analysis on samples harboring Amp-650, taking advantage of gene target prediction tools and tumor suppressor gene databases to mine several hundreds of differentially underexpressed genes. We observed STAT5A as a likely putative target gene for miR-650 in aggressive poorly differentiated BRCA. Samples with both Amp-650 and low expression of STAT5A had less overall survival than samples with either or none of the alterations. No target gene has been described for miR-650 in BRCA, thus, this bioinformatic study provides valuable information that should be corroborated experimentally.

Indexed as

Cell DifferentiationComputational BiologyBase SequenceBreast NeoplasmsFemaleGene Expression Regulation, NeoplasticHumansMicroRNAsNeoplasm InvasivenessPrognosisSTAT5 Transcription FactorTumor Suppressor ProteinsMicroRNAsMIRN650 microRNA, humanSTAT5A protein, humanSTAT5 Transcription FactorTumor Suppressor Proteinsamplificationbioinformaticbreast cancermiR-650STAT5Atarget

Identifiers

PMID33086498
PMCPMC7589888
OpenAlexW3093375532

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.