Breast cancer and fibroadenoma biomarkers detection through genetic association study

Abstract

BackgroundCancer results from the mutations of genes responsible for governing cell growth and health. Breast cancer (BC) is an uncontrolled growth of breast cells. Fibroadenoma (FA) is among the most common benign breast tumors. This study aims to assess seven candidates for breast cancer susceptibility locations to pinpoint the related variants in Egypt. Patients and methodsThe seven loci were analyzed by genotyping patients into three groups: BC (n = 115), a control group (n = 80), and FA (n = 40). Various methods were utilized to assess correlations: such as dominant, co-dominant, multiplicative, and recessive models. ResultsRANKL T643C, OPG G1181C, and T950C were associated with BC risk using all models. VDR FokI illustrated a potent correlation with BC in all models albeit the dominant model. The OR (Odds Ratio) in the recessive and the multiplicative models established the association of VDR BsmI with BC. YKL-40 G-131C and BC risk was observed through the recessive model. LAPTM4B was not associated with BC susceptibility. OPG G1181C was associated with FA using all models. OPG T950C was associated with FA using the dominant model only. No significant associations were observed between FA risk and the other five loci (LAPTM4B, RANKL T643C, VDR BsmI &FokI, and YKL-40 G-131C). ConclusionOur results suggest that RANKL T643C, OPG G1181C & T950C, VDR BsmI & FokI, and YKL-40 G-131C may support the prediction of BC risk. Moreover, OPG G1181C and T950C could be genetic biomarkers for FA susceptibility.