Evidence map›Paper›PMID 29435032›Full record

ArticleOncology letters2018

Bioinformatics identification of dysregulated microRNAs in triple negative breast cancer based on microRNA expression profiling.

Junqing Chen, Zhanhong Chen, Jian Huang, Feng Chen, Weiwu Ye, Guojun Ding, Xiaojia Wang

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.5field-weighted citation impact, top 37% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. High uPAR and Low miR-221 Expression Predict Poor Disease-Free Survival in Triple-Negative Breast Cancer.Pathophysiology : the official journal of the International Society for Pathophysiology · 2026
    Article
  3. Article
  4. Emerging Role of MiR-192-5p in Human Diseases.Frontiers in pharmacology · 2021
    Review
  5. Article
  6. Article
  7. Review
  8. 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

7 authors at 1 institution in 1 country.

Junqing ChenDepartment of Medical Oncology, Zhejiang Cancer Hospital, Hangzhou, Zhejiang 310022, P.R. China.
Zhanhong ChenDepartment of Medical Oncology, Zhejiang Cancer Hospital, Hangzhou, Zhejiang 310022, P.R. China.
Jian HuangDepartment of Medical Oncology, Zhejiang Cancer Hospital, Hangzhou, Zhejiang 310022, P.R. China.
Feng ChenDepartment of Breast Surgical Oncology, Zhejiang Cancer Hospital, Hangzhou, Zhejiang 310022, P.R. China.
Weiwu YeDepartment of Medical Oncology, Zhejiang Cancer Hospital, Hangzhou, Zhejiang 310022, P.R. China.
Guojun DingDepartment of Radiology, Zhejiang Cancer Hospital, Hangzhou, Zhejiang 310022, P.R. China.
Xiaojia WangDepartment of Medical Oncology, Zhejiang Cancer Hospital, Hangzhou, Zhejiang 310022, P.R. China.
Zhejiang Cancer Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Triple negative breast cancer (TNBC) accounts for approximately 15-20% of all breast cancer cases and is usually more aggressive with a poorer clinical outcome compared with other breast cancer subtypes. Evidence of the involvement of microRNAs (miRNAs) in cancer has provided an opportunity for the development of novel effective therapeutic targets in TNBC. In the present study, the miRNA expression profiles of the human breast cancer cell line, MDA-MB-231, and MCF-7 cells, was evaluated by using miRNA microarray analysis. A total of 107 differentially expressed miRNAs (57 upregulated and 50 downregulated) were identified in MDA-MB-231 cells compared with MCF-7 cells. Five prominently dysregulated miRNAs (miR-200c-3p, miR-221-3p, miR-222-3p, miR-192-5p and miR-146a) were further confirmed by reverse transcription-quantitative polymerase chain reaction. In addition, gene ontology analysis and pathway enrichment analysis revealed that the dysregulated miRNAs and predicted targets were found to be involved in the mitogen-activated protein kinase, Wnt, and transforming growth factor-β signaling pathways, which were known to contribute to TNBC progression and metastasis. Finally, miRNA gene network analyses suggested that miR-200c may serve as a crucial miRNA in breast cancer. Taken together, these findings may provide a comprehensive view of the function of aberrant miRNAs involved in TNBC, and dysregulated miRNAs hold promise as potential biomarkers and therapeutic targets for patients with TNBC.

Indexed as

bioinformaticsbiomarkermiRNAtherapeutic targettriple negative breast cancer

Identifiers

PMID29435032
PMCPMC5778821
OpenAlexW2780614154

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.