Abstract:
Breast cancer continues to remain one of the most common cancers that affect women globally, and it develops and spreads due to intricate molecular processes. E2F3 and miR-1205 expression analysis was carried out to investigate their respective functions and possible interactions in breast cancer. Following the extraction of total RNA from the tissue samples, cDNA was synthesized using a commercial cDNA kit. While Real-time PCR (qPCR) was used to quantitatively assess gene expression. The difference in gene expression between cancerous and normal tissues was examined, unpaired student’s t-test was employed by using SPSS 20.00. To ascertain the link between the E2F3 gene ,miRNA expressional dys regulations, and the risk of breast cancer in the population being studied, Pearson correlation was applied. Data was displayed as mean ± standard error of the mean in graph plots created with SPSS software, andp-values below 0.05 considered to be statistically significant. Additionally, the expression profiles of E2F3 and miR-1205 were also examined in connection with demographic and clinic pathological characteristics (e.g., age, marital status, lactation history, nipple discharge, tumor size, tumor grade, stage, hormone receptor status, breast cancer type, breast surgery, and metastasis). This made iteasier to ascertain if these molecular markers are connected to certain clinical outcomes or disease characteristics. The study found that cancerous samples showed higher average fold change expression of the E2F3 gene compared to normal tissues. It was also noted that, although this difference is not statistically significant, miR-1205 expression is often lower in malignant breast tissues than in normal tissues. The results of this study provide a foundation for the possible application of miR-1205 and E2F3, which has shown potential as a detective, predictive, and therapeutic marker in breast cancer. However, further studies with larger and more diverse patient groups are needed to confirm its clinical utility.
Page(s):
227-227
DOI:
DOI not available
Published:
Journal: 4th International Conference of Sciences “Revamped Scientific Outlook of 21st Century, 2025” , November 12,2025, Volume: 1, Issue: 1, Year: 2025
Keywords:
biomarkers
,
Breast Cancer
,
Tumor Suppressor
,
miR1205
,
E2F3 Gene