Associations of Single Nucleotide Polymorphism in miR-146a Gene with Susceptibility to Breast Cancer in the Iranian Female

The Impact of microRNA SNPS on Breast Cancer: Potential Biomarkers for Disease Detection

Breast cancer is considered a significant health concern worldwide, with genetic predisposition playing a critical role in its etiology. Single nucleotide polymorphisms (SNPs), particularly those within the 3' untranslated regions (3'UTRs) of target genes, are emerging as key factors in breast cancer susceptibility. Specifically, miRNAs have been recognized as possible novel approach for biomarkers discovery for both prognosis and diagnosis due to their direct association with cancer progression. Regional disparities in breast cancer incidence underscore the need for precise interventions, considering socio-cultural and economic factors. This review explores into the differential effects of SNP-miRNA interactions on breast cancer risk, emphasizing both risk-enhancing and protective associations across diverse populations. Furthermore, it explores the clinical implications of these findings, highlighting the potential of personalized approaches in breast cancer management. Additionally, it reviews the evolving therapeutic prospect of microRNAs (miRNAs), extending beyond cancer therapeutics to encompass various diseases, indicative of their versatility as therapeutic agents.

Prospective Functions of miRNA Variants May Predict Breast Cancer Among Saudi Females

Background Growing knowledge supports the importance of microRNAs (miRNAs) in modulating the initiation and development of breast cancer (BC) and underlying mechanisms. BC is a significant public health in females worldwide, where it remains the leading cause of death among Saudi females. Here, we evaluate the susceptibility of the miRNA genetic variants to the risk of BC in Saudi females. Methods One hundred fifty-four females, including 76 females diagnosed with BC and 78 healthy controls, were analyzed using TaqMan™ (Thermo Fischer Scientific, Waltham, MA) genotyping assays for the miR-196a2 rs11614913 C>T, miR-146a rs2910164 C>G, and miR-499 rs3746444 A>G. We utilized the SNPStats software (https://www.snpstats.net) (Institut Català d'Oncologia, Barcelona, Spain) to choose the best interactive inheritance model for the examined miRNAs. Results The examined miRNA single-nucleotide polymorphisms (SNPs) showed no clear association with the risk of BC (P > 0.05). As for genotypic distributions, significant associations were found for the rs2910164 SNP in most interactive models of inheritance: 2.50 (95% confidence interval {CI}, 1.2-5.17; P = 0.0135) in the codominant model, 2.34 (95% CI, 1.11-4.8; P = 0.0197) in the dominant model, and 2.40 (95% CI, 1.22-4.73; P = 0.0113) in overdominant model. The rs2910164 C/G heterozygosity showed overexpression in cases compared to controls (73.7% versus 53.9%; chi-squared (χ2) = 6.5; P = 0.0109), but the homozygous rs2910164 G/G showed a significant protective effect (21.1% versus 38.5%; χ2 = 17.4; P = 0.019). The heterozygosity did not affect the risk to the BC in the two miRNAs (rs11614913 C>T and rs3746444 A>G). Conclusion Despite lacking associations with the examined miRNAs, the heterozygous genotype rs2910164 C/G can identify at-risk females. More studies should be replicated using a panel of miRNA genes to discover significant associations with the risk of BC.

Impacts of Mir146a Genotypes on Bladder Cancer Risk in Taiwan

The aim of this study was to investigate the association between single-nucleotide polymorphisms (SNPs) in mir146a and mir196a and bladder cancer (BLCA) risk in Taiwan. The genotypes of mir146a rs2910164 and mir196a rs11614913 were determined in 375 BLCA patients and 375 healthy controls using PCR-RFLP methodology, and their associations with BLCA risk were evaluated. The study also measured the serum expression level of mir146a using quantitative RT-PCR. The results showed that the distributions of CC, CG and GG genotypes of mir146a rs2910164 were 31.7%, 45.6% and 22.7% in the control group, and 21.9%, 44.3% and 33.8% in the case group, respectively. In logistic regression analyses, the heterozygous variant genotype CG carriers showed a marginally significant association with increased BLCA risk (OR = 1.41, 95% CI = 0.99-2.01), while the homozygous variant genotype GG carriers had a 2.17-fold increased risk of BLCA (OR = 2.17, 95%CI = 1.46-3.21). Moreover, carriers of the GG/CG genotypes had significantly higher serum levels of mir146a than those with the CC genotype (p < 0.0001), indicating a genotype-phenotype correlation. In contrast, mir196a rs11614913 was not associated with BLCA risk. Therefore, the genotypes of mir146a rs2910164 may serve as a useful biomarker for predicting the risk of BLCA.

Association between single-nucleotide polymorphisms in miRNA and breast cancer risk: an updated review

Breast cancer (BC), a heterogeneous, aggressive illness with high mortality, is essentially a genomic disease. While the high-penetrance genes BRCA1 and BRCA2 play important roles in tumorigenesis, moderate- and low-penetrance genes are also involved. Single-nucleotide polymorphisms (SNPs) in microRNA (miRNA) genes have recently been identified as BC risk factors. miRNA genes are currently classified as low-penetrance. SNPs are the most common variations in the human genome. While the role of miRNA SNPs in BC susceptibility has been studied extensively, results have been inconsistent. This review analyzes the results of association studies between miRNA SNPs and BC risk from countries around the world. We conclude that: (a) By continent, the largest proportion of studies to date were conducted in Asia (65.0 %) and the smallest proportion in Africa (1.8 %); (b) Association studies have been completed for 67 different SNPs; (c) 146a, 196a2, 499, 27a, and 423 are the most-studied miRNAs; (d) The SNPs rs2910164 (miRNA-146a), rs11614913 (miRNA-196a2), rs3746444 (miRNA-499) and rs6505162 (miRNA-423) were the most widely associated with increased BC risk; (e) The majority of studies had small samples, which may affect the precision and power of the results; and (f) The effect of an SNP on BC risk depends on the ethnicity of the population. This review also discusses potential explanations for controversial findings.