Evidence map›Paper›PMID 29594807›Full record

ArticlePathology oncology research : POR2020

Genetic Polymorphisms in miR-146a, miR-196a2 and miR-125a Genes and its Association in Prostate Cancer.

Mohan Damodaran, Solomon F D Paul, Vettriselvi Venkatesan

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In one paragraph

Article in Pathology oncology research : POR, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
0.7field-weighted citation impact, top 36% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. Effect ofTechnology in cancer research & treatment
    Pooled it
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Curcumol Inhibits the Development of Prostate Cancer by miR-125a/STAT3 Axis.Evidence-based complementary and alternative medicine : eCAM · 2022
    Article
  9. Article
  10. Article
  11. 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

3 authors at 1 institution in 1 country.

Mohan DamodaranDepartment of Human Genetics, Sri Ramachandra University, Chennai, 600116, India.
Solomon F D PaulDepartment of Human Genetics, Sri Ramachandra University, Chennai, 600116, India.
Vettriselvi VenkatesanDepartment of Human Genetics, Sri Ramachandra University, Chennai, 600116, India. vettriselviv@yahoo.com.
Sri Ramachandra Institute of Higher Education and Research · IN

Funding

Department of Biotechnology , Ministry of Science and Technology 6242-P58/RGCB/PMD/DBT/VVSL/2015
6 · The paper itself

Abstract

The increase in incidence of prostate cancer in the Indian Population stresses the need to identify genetic markers for susceptibility and prognosis. Recent studies show that microRNAs play an important role in tumorigenesis by altering proliferation, differentiation and cell death. Gene polymorphisms not only in promoter region but also within miRNA gene have been shown to affect expression. The present study was aimed to analyze the role of miR-146a, miR-196a2 and miR-125a gene polymorphisms in prostate cancer. Genotyping of three SNPs rs73318382, rs57095329, rs2910164 in miRNA146a, rs11614913 in miR-196a2 and rs41275794, rs12976445, rs10404453 and rs1297533 in miR-125a was performed in 100 cases and 100 controls. Statistical analysis revealed the heterozygous AG genotype of the rs57095329 was significantly decreased in the cases when compared to the controls (OR-0.45, CI -0.24 to 0.85, p value-0.02) indicating an inverse association of this genotype with prostate cancer. Further the heterozygous CT of miR-196a2 (rs11614913) (OR-1.88, CI-1.06 to 3.35, p-0.02) and homozygous CC of miR-125a (rs12976445) (OR-2.55, CI -1.15 to 4.65, p-0.03) showed increased risk for prostate cancer. Combined analysis of all the genotypes revealed that the haplotype combination AGGCGTGG (OR = 0.09 at CI 95% (0.01-0.65) showed an inverse association with prostate cancer. Stratified analysis based on the age and tumor grade revealed no significant association.

Indexed as

Polymorphism, Single NucleotideAgedAsian PeopleBiomarkers, TumorGenetic Predisposition to DiseaseGenotypeHaplotypesHumansMaleMicroRNAsMiddle AgedProstatic NeoplasmsRiskBiomarkers, TumorMicroRNAsMIRN125 microRNA, humanMIRN146 microRNA, humanMIRN196 microRNA, humanGenotypingHaplotypesmicroRNAProstate cancer

Identifiers

PMID29594807
OpenAlexW2795569133

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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.