تجاوز إلى المحتوى الرئيسي

Genetic variants and breast carcinoma susceptibility: Unveiling the role of MTHFR (rs1801131, rs1801133) and TP53 (rs1042522)

Author name : EMAN FAWZY AHMED ELAZAB
Publication Date : 2025-03-20
Journal Name : Gene

Abstract

Background: The contribution of MTHFR and TP53 genetic variants to breast carcinoma (BC) susceptibility has
been examined, but their findings have been inconclusive. This work is designed to explore the potential roles of
the MTHFR (rs1801131, rs1801133) and TP53 (rs1042522) variants with increased risk of BC using genetic and
bioinformatic approaches.
Methods: This work included a total of 242 female participants [142 BCE patients and 100 healthy controls]. We
genotyped the allelic discrimination analysis for these genetic variants using the T-ARMS-PCR technique. Logistic
regression, haplotype analysis, genetic association models, and multivariate clustering were executed.
Results: The rs1801131*C allele revealed a significant association with elevated risk of breast carcinoma
compared to healthy controls under allelic (OR = 2.02, p-value < 0.001) and recessive (OR = 3.26, p-value <
0.001) models. Moreover, the rs1801133*T allele was correlated to cancer susceptibility under allelic (OR =
1.81, p-value = 0.002) and dominant (OR = 3.33, p-value < 0.001) models, while the rs1042522*G allele was
associated with increased risk of BC under allelic (OR = 2.98, p-value < 0.001) and recessive (OR = 3.21, p-value
< 0.001) models. BC women carrying the rs1801131*C/C genotype were associated with histological grade III,
while those with the rs1801133*T/T and rs1042522*G/G genotypes were correlated with a moderate/poor NPI
score (p-value < 0.05).

Keywords

MTHFR*rs1801131MTHFR* rs1801133TP53* rs1042522Genetic variants and Breast carcinoma

Publication Link

https://doi.org/10.1016/j.gene.2025.149259

Block_researches_list_suggestions

Suggestions to read

Generalized first approximation Matsumoto metric
AMR SOLIMAN MAHMOUD HASSAN
HIDS-IoMT: A Deep Learning-Based Intelligent Intrusion Detection System for the Internet of Medical Things
Ahlem . Harchy Ep Berguiga
Structure–Performance Relationship of Novel Azo-Salicylaldehyde Disperse Dyes: Dyeing Optimization and Theoretical Insights
EBTSAM KHALEFAH H ALENEZY
“Synthesis and Characterization of SnO₂/α-Fe₂O₃, In₂O₃/α-Fe₂O₃, and ZnO/α-Fe₂O₃ Thin Films: Photocatalytic and Antibacterial Applications”
Asma Arfaoui
تواصل معنا