Evidence map›Paper›PMID 25337203›Full record

SynthesisInternational journal of clinical and experimental pathology2014

Prognostic and clinicopathological significance of microRNA-21 overexpression in breast cancer: a meta-analysis.

Fei Pan, Hui Mao, Ling Deng, Guangchao Li, Peiliang Geng

Open access · greenAbstract readMeta-AnalysisReview
In one paragraph

Synthesis in International journal of clinical and experimental pathology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 19% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Evaluation of color Doppler ultrasound combined with plasma miR-21 and miR-27a in the diagnosis of breast cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2021
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. miRNA nanotherapeutics for cancer.Drug discovery today · 2017
    Review
  14. Review
  15. Comprehensive investigation of aberrant microRNA profiling in bladder cancer tissues.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
    Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. MiR-300 regulate the malignancy of breast cancer by targeting p53.International journal of clinical and experimental medicine · 2015
    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

5 authors at 3 institutions in 1 country.

Fei PanCancer Center, Chinese PLA General Hospital and Chinese PLA Medical School 28 Fuxing Road, Beijing 100853, China.
Hui MaoCancer Center, Chinese PLA General Hospital and Chinese PLA Medical School 28 Fuxing Road, Beijing 100853, China.
Ling DengNational Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention Beijing, China.
Guangchao LiSchool of Bioscience and Bioengineering, South China University of Technology Guangzhou, Guangdong, China.
Peiliang GengCancer Center, Chinese PLA General Hospital and Chinese PLA Medical School 28 Fuxing Road, Beijing 100853, China.
Chinese PLA General Hospital · CNNational Center for AIDS/STD Control and Prevention,China CDC · CNSouth China University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent studies have highlighted the role of microRNA-21 (miR-21) as a prognostic biomarker of breast cancer. However, controversy still remains. The present study aimed to summarize available evidences and obtain a more precise estimation of a prognostic role of miR-21 in breast cancer patients. All eligible studies were searched from PubMed and EMBASE through multiple search strategies. Data were extracted from studies comparing survival in breast cancer patients having higher miR-21 expression with those having lower expression. A meta-analysis was performed to clarify prognostic role of miR-21 in patients with breast cancer. Subgroup analysis was also performed according to patients' ethnicity. A total of 6 eligible articles comprising 951 cases were selected for this meta-analysis. The combined hazard ratios (HRs) and 95% confidence intervals (95% CIs) for overall survival (OS) were 2.11 (1.09-4.08) and for disease free survival (DFS) was 1.6 (1.30-1.96). Subgroup analysis indicated high miR-21 expression was significantly associated with worse OS in Asian patients (HR = 4.39, 95% CI: 2.47-7.80) but not in non-Asian patients (HR = 1.18, 95% CI: 0.81-1.70). Sensitivity analysis revealed results of this meta-analysis were robust. Odds ratios (ORs) showed that miR-21 expression was closely associated with estrogen receptor (ER), progesterone receptor (PR), lymph node metastasis, histological grade, Her2/neu. The pooled ORs and 95% CIs were 0.53 (0.35-0.80), 0.49 (0.32-0.74), 2.32 (1.54-3.50), 2.44 (1.58-3.75), 4.29 (2.34-7.85), respectively. Our results indicated that elevated miR-21 expression could potentially predict poor survival in patients with breast cancer.

Indexed as

Asian PeopleBiomarkers, TumorBreast NeoplasmsChi-Square DistributionDisease-Free SurvivalFemaleGene Expression Regulation, NeoplasticHumansKaplan-Meier EstimateLymphatic MetastasisMicroRNAsNeoplasm GradingOdds RatioRisk FactorsTime FactorsTreatment OutcomeBiomarkers, TumorMicroRNAsMIRN21 microRNA, humanbiomarkerbreast cancermeta-analysisMicroRNA-21prognosis

Identifiers

PMID25337203
PMCPMC4203174
OpenAlexW2297111755

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.