Evidence map›Paper›PMID 32710451›Full record

ArticleJournal of clinical laboratory analysis2020

The association of miR-27a rs895819 polymorphism with colorectal cancer risk in Chinese population.

Shulong Zhang, Qi Han, Kaihua Zhu, Quan Wang

Abstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
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  5. Review
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  7. Article
  8. Genetic Variants ofGenes · 2022
    Article
  9. Review
  10. Article
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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

4 authors.

Shulong ZhangDepartment of General Surgery, Xuhui District Central Hospital of Shanghai, Shanghai, China.ORCID https://orcid.org/0000-0003-1100-2995
Qi HanDepartment of General Surgery, Xuhui District Central Hospital of Shanghai, Shanghai, China.
Kaihua ZhuDepartment of General Surgery, Xuhui District Central Hospital of Shanghai, Shanghai, China.
Quan WangDepartment of General Surgery, Xuhui District Central Hospital of Shanghai, Shanghai, China.

Funding

scientific research project of Shanghai Municipal Health Commission 201940389
6 · The paper itself

Abstract

backgroundBesides environment and living habits, such as a sedentary lifestyle, smoking and drinking, genetic variation also plays an important role in the development of colorectal cancer (CRC). This study was aimed to investigate the role of miR-27a rs895819 polymorphism on CRC risk in Chinese population.

methodsIn a case-control study including 208 CRC and 312 age- and gender-matched healthy control subjects, the rs895819 polymorphism was genotyped using the TaqMan allelic discrimination assay. Furthermore, a pooled analysis based on eligible studies was performed by using the STATA software.

resultsLogistic regression analysis showed that the rs895819 polymorphism was not associated with CRC risk. However, a pooled analysis based on five studies from Chinese population showed a statistically significant association between the rs895819 polymorphism and CRC risk (GG vs AA: OR = 1.56, 95% CI = 1.27-1.92, Pz < .01; (AG + GG) vs AA: OR = 1.14, 95% CI = 1.01-1.30, Pz = .04; GG vs (AG + AA): OR = 1.54, 95% CI = 1.27-1.88, Pz < .01; G vs A: OR = 1.20, 95% CI = 1.09-1.33, Pz < .01).

conclusionOur study suggests that miR-27a rs895819 polymorphism plays an important role in CRC risk in Chinese population and may serve as a valuable biomarker for predicting an individual's susceptibility to CRC.

Indexed as

AgedAsian PeopleCase-Control StudiesChinaColorectal NeoplasmsFemaleGenetic Predisposition to DiseaseHumansMaleMicroRNAsMiddle AgedPolymorphism, Single NucleotideMicroRNAsMIRN27 microRNA, humancolorectal cancerMiR-27apolymorphismrisk

Identifiers

PMID32710451
PMCPMC7676186

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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.