Evidence map›Paper›PMID 25077922›Full record

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

Effects of four single nucleotide polymorphisms in microRNA-coding genes on lung cancer risk.

Xiaohong Fan, Zhijun Wu

Abstract readComparative StudyMeta-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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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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.

  1. Article
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  5. Review
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4 · The record

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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

2 authors.

Xiaohong FanDepartment of Pulmonary, Shanghai Chest Hospital, Shanghai Jiaotong University, 241 West Huaihai Road, Shanghai, 200030, People's Republic of China, elizabethfanxiaohong@hotmail.com.
Zhijun Wu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

No clear consensus has been reached on the four single nucleotide polymorphisms (miR-196a2 gene rs11614913, miR-146a gene rs2910164, miR-149 gene rs2292832, and miR-499 gene rs3746444) in microRNA-coding genes and lung cancer risk. We performed a meta-analysis in an effort to systematically explore the possible association. A computer retrieval of PubMed, Embase, and Institute for Scientific Information (ISI) Web of Science electronic databases was conducted prior to May 2014. References of retrieved articles were also screened. The fixed effects model and the random effects model were applied for dichotomous outcomes to combine the results of the individual studies. Seven studies including 3,705 cases and 4,099 controls were finally included according to the inclusion criteria. Statistical association could be found between rs11614913 polymorphism and lung cancer [C vs. T: P = 0.01, odds ratio (OR) = 1.11, 95% confidence interval (CI) 1.03-1.20, P heterogeneity = 0.22, fixed effects model; CC + CT vs. TT: P = 0.01, OR = 1.18, 95% CI 1.04-1.34, P heterogeneity = 0.32, fixed effects model; CC vs. TT: P = 0.009, OR = 1.24, 95% CI 1.06-1.45, P heterogeneity = 0.34, fixed effects model]. Subgroup analysis found this association in the East Asians. As for rs2910164 polymorphism and lung cancer risk, significant association could be found in allele comparison (G vs. C: P = 0.03, OR = 0.92, 95% CI 0.85-0.99, P heterogeneity = 0.15, fixed effects model) and in the dominant genetic model (GG + CG vs. CC: P = 0.03, OR = 0.86, 95 % CI 0.76-0.99, P heterogeneity = 0.31, fixed effects model). In the East Asian subgroup, association could also be found. No association was observed on rs2292832 or rs3746444 polymorphism and lung cancer. Our study suggested that the miR-196a2 gene rs11614913 polymorphism and the miR-146a gene rs2910164 polymorphism might associate with lung cancer risk.

Indexed as

Lung NeoplasmsMicroRNAsPolymorphism, Single NucleotideGenetic Predisposition to DiseaseHumansOdds RatioPrognosisRisk FactorsMicroRNAsMIRN146 microRNA, humanMIRN196 microRNA, human

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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.