Potential Therapeutic Targets in Triple‐Negative Breast Cancer Based on Gene Regulatory Network Analysis: A Comprehensive Systems Biology Approach DOI Creative Commons
Maryam Ahmadi, Neda Barkhoda, Azam Alizamir

et al.

International Journal of Breast Cancer, Journal Year: 2024, Volume and Issue: 2024(1)

Published: Jan. 1, 2024

Background: Triple‐negative breast cancer (TNBC) is an aggressive subtype with limited treatment options. This study aimed at identifying potential therapeutic targets in TNBC using gene regulatory network analysis and a system biology approach. Methods : The GSE38959 dataset was reanalyzed to identify differentially expressed genes (DEGs) tissues compared normal samples. Protein–protein interaction networks were constructed, hub identified. Survival performed GEPIA2. Gene built upstream regulators. Cross‐platform verification conducted independent RNA‐seq (GSE58135). Expression of prognostic markers versus non‐TNBC samples bc‐GenExMiner. Results: A total 943 DEGs identified tissues. CHEK1 PLK1 as central genes, overexpression correlating poor prognosis. GABPB1 the most influential regulator through analysis, while JUN exhibited interactions among 302 consistently modulated confirmed cross‐platform verification. validated by expression analysis. Conclusion provides insights into molecular mechanisms suggests CHEK1, PLK1, their regulators for treatment.

Language: Английский

Molecular architecture of human tooth development: A network-based analysis of gene expression DOI
Amir Taherkhani, Soussan Irani, Ali Najafi

et al.

Human Gene, Journal Year: 2025, Volume and Issue: unknown, P. 201398 - 201398

Published: March 1, 2025

Language: Английский

Citations

0
Potential Therapeutic Targets in Triple‐Negative Breast Cancer Based on Gene Regulatory Network Analysis: A Comprehensive Systems Biology Approach DOI Creative Commons
Maryam Ahmadi, Neda Barkhoda, Azam Alizamir

et al.

International Journal of Breast Cancer, Journal Year: 2024, Volume and Issue: 2024(1)

Published: Jan. 1, 2024

Background: Triple‐negative breast cancer (TNBC) is an aggressive subtype with limited treatment options. This study aimed at identifying potential therapeutic targets in TNBC using gene regulatory network analysis and a system biology approach. Methods : The GSE38959 dataset was reanalyzed to identify differentially expressed genes (DEGs) tissues compared normal samples. Protein–protein interaction networks were constructed, hub identified. Survival performed GEPIA2. Gene built upstream regulators. Cross‐platform verification conducted independent RNA‐seq (GSE58135). Expression of prognostic markers versus non‐TNBC samples bc‐GenExMiner. Results: A total 943 DEGs identified tissues. CHEK1 PLK1 as central genes, overexpression correlating poor prognosis. GABPB1 the most influential regulator through analysis, while JUN exhibited interactions among 302 consistently modulated confirmed cross‐platform verification. validated by expression analysis. Conclusion provides insights into molecular mechanisms suggests CHEK1, PLK1, their regulators for treatment.

Language: Английский

Citations

0