ArticleCancer biomarkers : section A of Disease markers
Stage-specific biomarkers in triple-negative breast cancer: Preliminary findings from bioinformatics approaches.
Article in Cancer biomarkers : section A of Disease markers. 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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Abstract
BackgroundIntegrated bioinformatics approaches were used to identify stage-specific candidate genes and potential drug targets in triple-negative breast cancer (TNBC).MethodsMicroarray (164 early-stage, 33 advanced-stage, and 53 normal samples) and RNA-seq (113 normal, 163 early-stage, and 30 advanced-stage TNBC samples) datasets were analyzed. Differentially expressed genes (DEGs) were identified, followed by co-expression analysis using Weighted Gene Co-expression Network Analysis (WGCNA) and protein-protein interaction analysis using the STRING database. miRNA co-regulation was evaluated using multiMiR and TCGA correlation analyses. Candidate genes were validated using UALCAN and immunohistochemistry data. Molecular docking assessed potential therapeutic agents.ResultsNovel stage-specific candidate biomarkers were identified, including
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