Evidence map›Paper›PMID 28627677›Full record

ArticleMolecular medicine reports2017

Integrated analysis of the potential roles of miRNA‑mRNA networks in triple negative breast cancer.

Huiru Zhu, Meiyu Dai, Xiaoli Chen, Xiang Chen, Shini Qin, Shengming Dai

Abstract read
In one paragraph

Article in Molecular medicine reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Triple-Negative Breast Cancer: A Review of Conventional and Advanced Therapeutic Strategies.International journal of environmental research and public health · 2020
    Review
  10. Article
  11. Article
  12. Article
  13. MicroRNAs in regulation of triple-negative breast cancer progression.Journal of cancer research and clinical oncology · 2018
    Review
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.

Huiru ZhuDepartment of Galactophore, The Third Affiliated Hospital of Guangxi University of Chinese Medicine, Liuzhou, Guangxi 545001, P.R. China.
Meiyu DaiDepartment of Clinical Laboratory, The Fourth Affiliated Hospital of Guangxi Medical University, Liuzhou, Guangxi 545005, P.R. China.
Xiaoli ChenDepartment of Clinical Laboratory, The Fourth Affiliated Hospital of Guangxi Medical University, Liuzhou, Guangxi 545005, P.R. China.
Xiang ChenDepartment of Clinical Laboratory, The Fourth Affiliated Hospital of Guangxi Medical University, Liuzhou, Guangxi 545005, P.R. China.
Shini QinDepartment of Clinical Laboratory, The Fourth Affiliated Hospital of Guangxi Medical University, Liuzhou, Guangxi 545005, P.R. China.
Shengming DaiDepartment of Clinical Laboratory, The Fourth Affiliated Hospital of Guangxi Medical University, Liuzhou, Guangxi 545005, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Triple negative breast cancer (TNBC) is a type of breast cancer where the tumor cells are negative for the estrogen, progesterone and human epidermal growth factor 2 receptors. To date, expression profiling of microRNA (miRNA/miR) and mRNA sequences have been widely applied for the diagnosis of TNBC. In the present study, an integrated analysis of miRNA‑mRNA profiling arrays was performed. A total of five dysregulated miRNAs in patients with TNBC were identified, including upregulated miR‑558 expression and downregulated miR‑320d‑1, miR‑548v, miR‑99a and miR‑21 expression. In addition, 49 potential target mRNA sequences were identified. Bioinformatics analyses were performed on the identified miRNAs and mRNAs, including gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes pathway and miRNA‑mRNA network analyses. A total of 31 GO terms and three signaling pathways were identified. The results indicated that the differentially expressed miRNAs and their potential target mRNAs may affect the pathogenesis of TNBC, and may therefore be considered as promising biomarkers for the early diagnosis and targeted therapy of patients with TNBC.

Indexed as

Gene Regulatory NetworksCluster AnalysisFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGene OntologyHumansMicroRNAsReproducibility of ResultsRNA, MessengerTriple Negative Breast NeoplasmsMicroRNAsRNA, Messenger

Identifiers

PMID28627677
PMCPMC5561991

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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.