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Integrative Network-Based Transcriptomic Analysis Identifies Niclosamide as a Candidate Repositioned Drug for Breast
Busra Aydin1, Beyza Nur Okutan2, Fatmanur Elif Sara2
1Department of Bioengineering, Faculty of Engineering and Architecture, Konya Food and Agriculture University, Konya, Turkey.
Breast Cancer (Dove Medical Press)
|July 29, 2026
Summary
This study identified 11 key breast cancer (BC) biomarkers and proposed niclosamide as a potential drug for repositioning. Further research is needed for clinical application.
Area of Science:
- Oncology
- Bioinformatics
- Genomics
Background:
- Breast cancer (BC) is a complex disease with treatment challenges including toxicity and cost.
- Identifying novel biomarkers and therapeutic strategies is crucial for improving BC patient outcomes.
Purpose of the Study:
- To integrate multi-omics data and network analysis to discover BC biomarkers.
- To identify potential drug candidates for BC treatment through drug repositioning.
Main Methods:
- Differential gene expression analysis and functional enrichment (GO, KEGG).
- Multi-layered network construction (PPI, TF, miRNA-mRNA) and hub node identification.
- Survival analysis, principal component analysis (PCA), and drug repositioning using L1000CDS².
Main Results:
- Identified 4266 differentially expressed genes (DEGs) and 37 hub signatures.
- Eleven hub genes (e.g., ESR1, BCL2, IL6) were significantly associated with BC survival.
- Niclosamide emerged as a top drug candidate, showing reduced cell viability in vitro.
Conclusions:
- An integrative approach successfully identified potential BC biomarkers and a repositioned drug candidate, niclosamide.
- Findings are exploratory and require further validation in clinical settings.
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