| Autor: |
Mehta, Devashish, Prajapati, Jignesh, Upadhyay, Vinal, Shah, Krupa, Devanhalli, Vijay, Rawal, Rakesh M. |
| Předmět: |
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| Zdroj: |
Gene Expression (1052-2166); Oct-Dec2024, Vol. 23 Issue 4, p246-256, 11p |
| Abstrakt: |
Background and objectives: Breast cancer remains a significant global health concern, warranting further exploration into its genetic basis and potential therapeutic targets. This study aimed to elucidate the genetic associations of seven pivotal genes with breast cancer and discern their potential role in disease prognosis. Methods: The genes VEGFA, BRCA1, RAD51, CCNB1, CHEK1, CDK1, and XRCC4 were curated from over 30 articles. Their association with breast cancer was analyzed using both in silico and in vitro techniques. The in silico assessment involved constructing a protein-protein interaction network, accompanied by Gene Ontology and pathway enrichment analysis. Further, survival and expression analysis were conducted using Kaplan-Meier Plotter and the UALCAN database respectively. At the protein level, expression was observed using the Human Protein Atlas database. The in vitro validation involved analyzing mRNA expression levels in 10 breast cancer tissue samples. Results: The study revealed that all seven genes are significantly upregulated in breast cancer tissues compared to normal tissues, highlighting their critical role in tumor development and progression. Protein-protein interaction analysis confirmed their central involvement in vital biological processes related to breast cancer. Survival analysis showed that high expressions of these genes are associated with poorer patient prognosis, with hazard ratios indicating their potential as prognostic markers. In vitro validation further supported their overexpression in breast cancer, suggesting their importance in molecular landscape of the disease and their value as targets for therapeutic intervention. Conclusions: This study provides a profound understanding of the genetic landscape of breast cancer, emphasizing the significance of the selected seven genes in the pathology of the disease. These findings suggest potential avenues for therapeutic targeting and the advancement of personalized medicine in breast cancer treatment. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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