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Association between genetic variants in DICER1 and cancer risk: An updated meta-analysis
Zorana Dobrijević1, Suzana Matijašević2, Tijana Išić Denčić3
1Department for Metabolism, Institute for the Application of Nuclear Energy (INEP), University of Belgrade, Belgrade, Serbia.
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 (PCT vs. TT < 0.001, ORCT vs. TT = 0.870, 95% CI = 0.812-0.933; Pallelic = 0.009, ORallelic = 0.896, 95% CI = 0.825-0.973; Pdom < 0.001, ORdom = 0.874, 95% CI = 0.817-0.934; Poverdom = 0.004, ORoverdom = 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.
Insights
Dysfunctional RNA interference gene regulation is linked to cancer. A meta-analysis found the DICER1 rs1057035 genetic variant is associated with overall cancer risk, suggesting it may be a potential biomarker.
Area of Science:
- Genetics and Molecular Biology
- Cancer Pathogenesis
- RNA Interference Mechanisms
Background:
- Dysregulation of RNA interference pathways is implicated in cancer development.
- DICER1, a key enzyme in small interfering RNA (siRNA) and microRNA (miRNA) biogenesis, is a candidate gene for cancer research.
- Genetic variations in DICER1 may influence cancer susceptibility.
Purpose of the Study:
- To conduct an updated meta-analysis evaluating the association between DICER1 genetic variants and overall cancer risk.
- To identify potential genetic biomarkers for cancer susceptibility.
Main Methods:
- Systematic literature search of PubMed for relevant association studies.
- Quantitative synthesis of data using OpenMeta-analyst and MetaGenyo software.
- Case-control study analysis under multiple genetic models.
Main Results:
- The DICER1 single nucleotide polymorphism (SNP) rs1057035 showed a statistically significant association with overall cancer risk across multiple genetic models (e.g., P < 0.001, OR = 0.870 for CT vs. TT).
- Other analyzed DICER1 variants (rs13078, rs1209904, rs3742330) did not demonstrate a significant association with cancer susceptibility.
- The findings suggest a protective effect of the rs1057035 variant against overall cancer risk.
Conclusions:
- The DICER1 rs1057035 variant may serve as a potential biomarker for cancer risk assessment.
- Further validation in larger, diverse populations is warranted to confirm these findings.
- Understanding the role of DICER1 variants in carcinogenesis can inform future cancer prevention strategies.
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