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The association between microRNA polymorphisms and the risk of childhood acute lymphoblastic leukemia: A

Abbas Navabi1, Mozaffar Aznab2, Fatemeh Heydarpour3

  • 1Student Research Committee, School of Medical Sciences, Kermanshah University of Medical Sciences, Kermanshah, Iran.

Cancer Epidemiology
|November 7, 2022
PubMed

Insights

This meta-analysis found no link between miR-146a rs2910164 polymorphism and childhood acute lymphoblastic leukemia (ALL) risk. However, pri-miR-34b/c rs4938723 and miR-612 rs12803915 polymorphisms may influence childhood ALL development.

Area of Science:

  • Genetics
  • Oncology
  • Molecular Biology

Background:

  • Childhood acute lymphoblastic leukemia (ALL) is a significant health concern.
  • MicroRNAs (miRNAs) are implicated in various cancers, including ALL.
  • Understanding the role of miRNA polymorphisms in ALL susceptibility is crucial for risk assessment.

Purpose of the Study:

  • To comprehensively evaluate the association between specific microRNA polymorphisms and the risk of childhood acute lymphoblastic leukemia (ALL).

Main Methods:

  • A systematic meta-analysis was conducted using data from multiple databases (PubMed, EMBASE, Scopus, etc.).
  • Statistical analysis involved odds ratios (ORs) and 95% confidence intervals (95% CIs) across five genetic models.
  • Sensitivity analyses were performed to assess the robustness of the findings.

Main Results:

  • No significant association was found between miR-146a rs2910164 polymorphism and childhood ALL risk.
  • A statistically significant relationship was observed between pri-miR-34b/c rs4938723 polymorphism and childhood ALL risk (homozygote and recessive models).
  • The miR-612 rs12803915 polymorphism showed a significant association with childhood ALL risk (allele and dominant models).

Conclusions:

  • The pri-miR-34b/c rs4938723 and miR-612 rs12803915 polymorphisms may play a role in the pathogenesis of childhood acute lymphoblastic leukemia.
  • Further research is warranted to elucidate the precise mechanisms underlying these associations.
Keywords:
Case-control studyChildhood acute lymphoblastic leukemiaMeta-analysisMicroRNAPolymorphism

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