Evidence map›Paper›PMID 26347202›Full record

ArticleOncoTargets and therapy2015

The association between miR-499 polymorphism and cancer susceptibility: a meta-analysis.

Zhongfei Xu, Enjiao Zhang, Weiyi Duan, Changfu Sun, Shuang Bai, Xuexin Tan

Open access · goldAbstract read
In one paragraph

Article in OncoTargets and therapy, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

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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 at 1 institution in 1 country.

Zhongfei XuDepartment of Oral and Maxillofacial Surgery, School of Stomatology, China Medical University, Shenyang, People's Republic of China.
Enjiao ZhangDepartment of Oral and Maxillofacial Surgery, School of Stomatology, China Medical University, Shenyang, People's Republic of China.
Weiyi DuanDepartment of Oral and Maxillofacial Surgery, School of Stomatology, China Medical University, Shenyang, People's Republic of China.
Changfu SunDepartment of Oral and Maxillofacial Surgery, School of Stomatology, China Medical University, Shenyang, People's Republic of China.
Shuang BaiDepartment of Oral and Maxillofacial Surgery, School of Stomatology, China Medical University, Shenyang, People's Republic of China.
Xuexin TanDepartment of Oral and Maxillofacial Surgery, School of Stomatology, China Medical University, Shenyang, People's Republic of China.
China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMicroRNAs are a class of new noncoding RNA that play important roles in the pathogenesis of tumor. Rs3746444 in miR-499 is suggested to be associated with cancer susceptibility. In the present study, we assess the association between miR-499 rs3746444 polymorphism and cancer susceptibility through a meta-analysis.

methodsWe searched relevant articles from the PubMed and Embase databases. We screened all the resulting articles for adherence to the inclusion and exclusion criteria. The associations between miR-499 polymorphism and cancer susceptibility were estimated by computing the odds ratios (ORs) and 95% confidence intervals (CIs). All analyses were performed using Stata software.

resultsThere are 18 datasets included in the analysis. Statistically significant associations were found between the miR-499 rs3746444 polymorphism and susceptibility to cancer (GG versus AA: OR =1.24, 95% CI: 1.01-1.52; G versus A: OR =1.11, 95% CI: 1.01-1.23). A subsequent analysis, on the basis of ethnicity for the population characteristic, showed that Asians had increased susceptibility to cancer (GG versus AA: OR =1.32, 95% CI: 1.09-1.59; GG + AG versus AA: OR = 1.17, 95% CI: 1.01-1.37). In the subgroup analysis of tumor type, none of the genetic models had statistically significant results. The meta-regression suggested that race and cancer types are not the source of heterogeneity in the present meta-analysis. No publication bias was detected by either the inverted funnel plot or Egger's test.

conclusionRs3746444 in miR-499 might be related to susceptibility to cancer.

Indexed as

microRNArisk factorsingle-nucleotide polymorphismtumor

Identifiers

PMID26347202
PMCPMC4550183
OpenAlexW2138472082

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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.