Evidence map›Paper›PMID 23982873›Full record

SynthesisTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2014

Ethnicity modifies the association between functional microRNA polymorphisms and breast cancer risk: a HuGE meta-analysis.

Qiao-Hui Chen, Qing-Bing Wang, Bei Zhang

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 6 pooled it
–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

35 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Review
  13. Review
  14. Article
  15. Single nucleotide polymorphisms in microRNAs action as biomarkers for breast cancer.Turkish journal of biology = Turk biyoloji dergisi · 2020
    Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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.

Qiao-Hui ChenDepartment of Radiology, Minhang District Central Hospital, Xinsong Road No.170, Minhang District, Shanghai, 201199, China.
Qing-Bing Wang
Bei Zhang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Common functional polymorphisms in the promoter region of microRNAs (miRNAs), based on multiple lines of evidence, might participate in transcriptional regulation and other biological processes, which interact to increase the risk of developing breast cancer. Since 2005, many studies have investigated the association between breast cancer risk and common single nucleotide polymorphisms (SNPs) in miRNAs. However, the findings of several meta-analyses are inconclusive or ambiguous. The aim of this Human Genome Epidemiology meta-analysis was to determine more precisely the relationship between common miRNA polymorphisms and breast cancer risk. Twelve case-control studies with a total of 7,170 breast cancer patients and 8,783 healthy controls were included. Eight SNPs in miRNA genes were examined. When all eligible studies were pooled in the meta-analysis, the miR-196a-2 rs11614913*T, miR-499 rs3746444*T, and miR-605 rs2043556*A alleles predicted a decreased risk of breast cancer among Asians, while not Caucasians. In addition, the miR-27a rs895919*C allele might be a protective factor for breast cancer among Caucasians. However, for the miR-146a rs2910164 (G>C), miR-149 rs2292832 (G>T), miR-373 rs12983273 (C>T), and miR-423 rs6505162 (C>A) polymorphisms, we failed to find any significant association with the risk of breast cancer in any genetic model. In conclusion, the current meta-analysis supports that the miR-196a-2 rs11614913*T, miR-499 rs3746444*T, miR-605 rs2043556*A, and miR-27a rs895919*C alleles might be protective factors for breast cancer.

Indexed as

Polymorphism, GeneticAllelesBreast NeoplasmsCase-Control StudiesFemaleGenetic Predisposition to DiseaseGenotypeHumansMicroRNAsOdds RatioPolymorphism, Single NucleotidePublication BiasRiskMicroRNAs

Identifiers

PMID23982873

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.