Association between genetic variants in DICER1 and cancer risk: An updated meta-analysis

Zorana Dobrijević; Suzana Matijašević; Tijana Išić Denčić; Dušanka Savić-Pavićević; Olgica Nedić; Goran Brajušković

doi:10.1016/j.gene.2020.145132

Association between genetic variants in DICER1 and cancer risk: An updated meta-analysis

Gene. 2021 Jan 15:766:145132. doi: 10.1016/j.gene.2020.145132. Epub 2020 Sep 8.

Authors

Zorana Dobrijević¹, Suzana Matijašević², Tijana Išić Denčić³, Dušanka Savić-Pavićević², Olgica Nedić⁴, Goran Brajušković²

Affiliations

¹ Department for Metabolism, Institute for the Application of Nuclear Energy (INEP), University of Belgrade, Belgrade, Serbia. Electronic address: zorana.dobrijevic@inep.co.rs.
² Centre for Human Molecular Genetics, Faculty of Biology, University of Belgrade, Belgrade, Serbia.
³ Department for Endocrinology and Radioimmunology, Institute for the Application of Nuclear Energy (INEP), University of Belgrade, Belgrade, Serbia.
⁴ Department for Metabolism, Institute for the Application of Nuclear Energy (INEP), University of Belgrade, Belgrade, Serbia.

PMID: 32911029
DOI: 10.1016/j.gene.2020.145132

Abstract

Dysfunctions in mechanisms of gene regulation based on RNA interference are recognized as a common feature of the molecular basis of cancer pathogenesis. Therefore, as one of the crucial components of the machinery involved in the biogenesis of both siRNAs and microRNA molecules, DICER was recognized as one of the candidates for the research in the field of carcinogenesis. Due to their potential functional properties, several genetic variants located within DICER1 gene were analyzed for their possible association with the susceptibility to cancer through case-control studies. In order to elucidate their effect on the overall cancer risk, we conducted an updated meta-analysis of all eligible association studies. The publications were selected based on PubMed database search, while OpenMeta-analyst and MetaGenyo software were used for quantitative data synthesis. Statistically significant results were found for the association of rs1057035 with the overall cancer risk under multiple genetic models (P_{CT vs. TT} < 0.001, OR_{CT vs. TT} = 0.870, 95% CI = 0.812-0.933; P_allelic = 0.009, OR_allelic = 0.896, 95% CI = 0.825-0.973; P_dom < 0.001, OR_dom = 0.874, 95% CI = 0.817-0.934; P_overdom = 0.004, OR_overdom = 0.858, 95% CI = 0.773-0.953). Other selected genetic variants within DICER1, rs13078, rs1209904 and rs3742330, did not show the association with the overall susceptibility to malignant diseases. We conclude that rs1057035 may represent a potential biomarker associated with the risk of developing cancer, which requires a confirmation in a larger set of studies.

Keywords: Cancer; DICER1; Genetic variant; rs1057035; rs13078; rs3742330.

Publication types

Meta-Analysis
Review

MeSH terms

Alleles
Biomarkers, Tumor / genetics
Case-Control Studies
DEAD-box RNA Helicases / genetics*
Genetic Association Studies
Genetic Predisposition to Disease / genetics*
Genotype
Humans
MicroRNAs / genetics
Neoplasms / genetics*
Polymorphism, Single Nucleotide / genetics*
Ribonuclease III / genetics*
Risk

Substances

Biomarkers, Tumor
MicroRNAs
DICER1 protein, human
Ribonuclease III
DEAD-box RNA Helicases