Evidence map›Paper›PMID 29491365›Full record

SynthesisScientific reports2018

Comprehensive Review of Genetic Association Studies and Meta-Analysis on polymorphisms in microRNAs and Urological Neoplasms Risk.

Ligang Zhang, Meng Zhang, Hao Wang, Yangyang Wang, Jun Zhou, Zongyao Hao, Li Zhang, Chaozhao Liang

Abstract readMeta-AnalysisReview
In one paragraph

Synthesis in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

8 authors.

Ligang ZhangDepartment of Urology, the First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China.
Meng ZhangDepartment of Urology, the First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China.
Hao WangGraduate School of Anhui Medical University, Hefei, 230022, China.
Yangyang WangDepartment of Urology, the First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China.
Jun ZhouDepartment of Urology, the First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China.
Zongyao HaoDepartment of Urology, the First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China.
Li ZhangDepartment of Urology, the First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China. lzhang@ahmu.edu.cn.
Chaozhao LiangDepartment of Urology, the First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China. liang_chaozhao@ahmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene expression is negatively regulated by microRNAs (miRNAs), which commonly act as tumor oncogenes or suppressors. Previous results were inconsistent concerning the relationship between polymorphisms in miRNAs and risk of urological neoplasms. Here, we conducted a comprehensive literature research on diverse databases aiming at enrolling all eligible studies up to August 31, 2016. A total of 13 publications comprising 29 case-control studies were enrolled for three polymorphisms in three miRNAs. Overall analyses suggested significant associations between miR-146a rs2910164 polymorphism and urological neoplasms risk in allelic, homozygote and recessive models. In the stratified analysis by ethnicity, we uncovered a significant association between rs2910164 polymorphism and risk of urological neoplasms in Asian populations in allelic, homozygote and recessive models. Highlighted, when stratified analysis was conducted by cancer type, rs2910164 polymorphism was also significantly associated with an increased risk of bladder cancer in allelic, homozygote and recessive models. Although for rs11614913 and rs3746444 polymorphisms, overall analyses suggested negative results, for rs11614913 polymorphism, when subgroup analysis was conducted by cancer type, a significantly decreased risk of renal cell cancer was identified in recessive model. In brief, current work indicated that miR-146a rs2910164 polymorphism is a risk factor for urological neoplasms, particularly for bladder cancer.

Indexed as

Databases, FactualGenetic Association StudiesGenetic Predisposition to DiseasePolymorphism, Single NucleotideHumansMicroRNAsPrognosisRisk FactorsUrologic NeoplasmsMicroRNAs

Identifiers

PMID29491365
PMCPMC5830532

What OpenQuestion holds

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Registered trials

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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.