Evidence map›Paper›PMID 29750042›Full record

ReviewOncoTargets and therapy2018

A meta-analytic review of the association between two common SNPs in miRNAs and lung cancer susceptibility.

Sha Xiao, Songzan Sun, Wenfang Long, Shicheng Kuang, Yunru Liu, Hairong Huang, Jing Zhou, Yongjiang Zhou, Xiaobo Lu

Abstract readReview
In one paragraph

Review in OncoTargets and therapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. 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

9 authors.

Sha XiaoDepartment of Environmental and Occupational Health, School of Public Health, Hainan Medical University, Haikou, People's Republic of China.
Songzan SunDepartment of Environmental and Occupational Health, School of Public Health, Hainan Medical University, Haikou, People's Republic of China.
Wenfang LongDepartment of Environmental and Occupational Health, School of Public Health, Hainan Medical University, Haikou, People's Republic of China.
Shicheng KuangDepartment of Pharmacy, Hainan General Hospital, Haikou, People's Republic of China.
Yunru LiuDepartment of Environmental and Occupational Health, School of Public Health, Hainan Medical University, Haikou, People's Republic of China.
Hairong HuangDepartment of Environmental and Occupational Health, School of Public Health, Hainan Medical University, Haikou, People's Republic of China.
Jing ZhouDepartment of Environmental and Occupational Health, School of Public Health, Hainan Medical University, Haikou, People's Republic of China.
Yongjiang ZhouDepartment of Environmental and Occupational Health, School of Public Health, Hainan Medical University, Haikou, People's Republic of China.
Xiaobo LuDepartment of Toxicology, School of Public Health, China Medical University, Shenyang, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMicroRNAs (miRNAs) are involved in many biological processes, including tumor suppression. Multiple studies have shown an association between the miRNA-196a2 rs11614913 and miRNA-146a rs2910164 polymorphisms and cancer risk. However, the implications of the reported data are debatable and inconclusive. MATERIALS AND

methodsRelevant articles were retrieved from the PubMed, EMBASE, China National Knowledge Infrastructure, and WanFang databases from January 1, 2007, to April 30, 2017. Studies were assessed based on designated inclusion and exclusion criteria, and data were manually extracted from relevant studies by two investigators. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to explore the association between two single-nucleotide polymorphisms (SNPs) in miRNAs and lung cancer susceptibility.

resultsNine eligible articles were included, consisting of 3,101 cancer cases and 3,234 controls for miRNA-196a2 rs11614913, and 3,483 cases and 3,578 controls for miRNA-146a rs2910164. For studies evaluating miRNA-196a2 rs11614913, significant associations with lung cancer risk were discovered. Overall, the pooled analysis showed that miRNA-196a2 rs11614913 was associated with a decreased cancer risk (CC vs TT: OR = 1.25, 95% CI: 1.09-1.44; CT vs TT: OR = 1.26, 95% CI: 1.03-1.53). For miRNA-146a rs2910164, only the CC genotype was found to be associated with high lung cancer risk (OR = 1.30, 95% CI: 1.13-1.49). Subgroup analyses based on ethnicity, source of control group, and country indicated that there were strong associations between miRNA-146a rs2910164 and cancer risk.

conclusionThe results indicated that lung cancer risk was significantly associated with miRNA-196a2 rs11614913 and miRNA-146a rs2910164. These two common SNPs in miRNAs may be potential biomarkers of lung cancer.

Indexed as

lung cancermeta-analysismicroRNAsingle nucleotide polymorphismssusceptibility

Identifiers

PMID29750042
PMCPMC5935188

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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.