Evidence map›Paper›PMID 37535159›Full record

ArticleMolecular biotechnology2024

Identification of a glycolysis-related miRNA Signature for Predicting Breast cancer Survival.

Xuejing Shi, Baoqiang Xiao, Rui Feng

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. 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

3 authors.

Xuejing ShiDepartment of Galactophore, Tianjin Central Hospital of Gynecology and Obstetrics, No. 156 Nankai Sanma Road, Tianjin, Nankai District, 300100, P.R. China.
Baoqiang XiaoDepartment of General Surgery, Tianjin Hospital, Tianjin, Hexi District, 300211, P.R. China.
Rui FengDepartment of Galactophore, Tianjin Central Hospital of Gynecology and Obstetrics, No. 156 Nankai Sanma Road, Tianjin, Nankai District, 300100, P.R. China. dr.fr@126.com.ORCID http://orcid.org/0000-0002-2870-0143

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer (BC) is a common type of cancer and has a poor prognosis. In this study, we collected the mRNA and miRNA expression profiles of BC patients were obtained from The Cancer Genome Atlas (TCGA) to explore a novel prognostic strategy for BC patients using bioinformatics tools. We found that six glycolysis-related miRNAs (GRmiRs, including hsa-mir-1247, hsa-mir148b, hsa-mir-133a-2, has-mir-1307, hsa-mir-195 and hsa-mir-1258) were correlated with prognosis of BC samples. The risk score model was established based on 6 prognosis-associated GRmiRs. The outcome of high risk group was significantly poorer. Cox regression analysis showed that risk score was an independent prognostic factor. Differentially expressed genes identified between high and low risk groups were mainly enriched in inflammation and immune-related signaling pathways. The proportion of infiltration of 12 kinds of immune cells in high and low risk groups were significantly different. Risk score was closely associated with many immune indexes. Multiple DEGRGs and miRNAs were associated with drugs. In conclusion, glycolysis-related miRNA signature effectively predicts BC prognosis.

Indexed as

Breast NeoplasmsGene Expression Regulation, NeoplasticGlycolysisMicroRNAsBiomarkers, TumorComputational BiologyFemaleGene Expression ProfilingHumansKaplan-Meier EstimateMiddle AgedPrognosisProportional Hazards ModelsTranscriptomeBiomarkers, TumorMicroRNAsBreast cancerDrug resistanceGlycolysis-related miRNAsImmune cell infiltrationPrognosis

Identifiers

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.