ArticleBreast cancer (Dove Medical Press)2026
Integrative Network-Based Transcriptomic Analysis Identifies Niclosamide as a Candidate Repositioned Drug for Breast Cancer.
Article in Breast cancer (Dove Medical Press), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
5 authors.
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Abstract
Purpose: Breast cancer (BC) is a highly heterogeneous malignancy, and current treatments often suffer from toxicity, limited selectivity, and high cost. This study aimed to integrate transcriptome-level data, multi-layered network analysis, and drug repositioning strategies to identify candidate diagnostic and prognostic biomarkers for BC and propose potential repositioned drug candidates. Methods: Differentially expressed genes (DEGs) were identified from the GSE42568 dataset (|log Results: A total of 4266 DEGs were identified. Network analyses revealed 37 hub signatures, 11 of which- Conclusion: This integrative approach revealed candidate BC-specific biomarkers and identified niclosamide as a potential repositioned therapeutic. These findings remain exploratory and do not provide definitive clinical evidence. Further validation across additional models and clinical settings is required.
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