Current Issues in Molecular Biology (Sep 2024)

Impacts of <i>DROSHA</i> (rs10719) and <i>DICER</i> (rs3742330) Variants on Breast Cancer Risk and Their Distribution in Blood and Tissue Samples of Egyptian Patients

  • Aly A. M. Shaalan,
  • Essam Al Ageeli,
  • Shahad W. Kattan,
  • Amany I. Almars,
  • Nouf A. Babteen,
  • Abdulmajeed A. A. Sindi,
  • Eman A. Toraih,
  • Manal S. Fawzy,
  • Marwa Hussein Mohamed

DOI
https://doi.org/10.3390/cimb46090602
Journal volume & issue
Vol. 46, no. 9
pp. 10087 – 10111

Abstract

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MicroRNAs (miRNAs) are small, noncoding RNAs that regulate gene expression and play critical roles in tumorigenesis. Genetic variants in miRNA processing genes, DROSHA and DICER, have been implicated in cancer susceptibility and progression in various populations. However, their role in Egyptian patients with breast cancer (BC) remains unexplored. This study aims to investigate the association of DROSHA rs10719 and DICER rs3742330 polymorphisms with BC risk and clinical outcomes. This case–control study included 209 BC patients and 106 healthy controls. Genotyping was performed using TaqMan assays in blood, tumor tissue, and adjacent non-cancerous tissue samples. Associations were analyzed using logistic regression and Fisher’s exact test. The DROSHA rs10719 AA genotype was associated with a 3.2-fold increased risk (95%CI = 1.23–9.36, p DICER rs3742330 GG genotype was associated with a 3.51-fold increased risk (95%CI = 1.5–8.25, p = 0.001) of BC. Minor allele frequencies were 0.42 for rs10719 A and 0.37 for rs3742330 G alleles. The risk alleles were significantly more prevalent in tumor tissue than adjacent normal tissue (rs10719 A: 40.8% vs. 0%; rs3742330 G: 42.7% vs. 0%; p DROSHA rs10719 and DICER rs3742330 polymorphisms are associated with increased BC risk and more prevalent in tumor tissue among our cohort, suggesting a potential role in miRNA dysregulation during breast tumorigenesis. These findings highlight the importance of miRNA processing gene variants in BC susceptibility and warrant further validation in larger cohorts and different ethnic populations.

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