ArticleJournal of inflammation research2025
Identification of Shared Diagnostic Biomarkers LCN2 and DUOX2 for Inflammatory Bowel Disease and Cholangiocarcinoma Through Integrative Bioinformatics and Machine Learning.
Article in Journal of inflammation research, 2025. 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
Background: Inflammatory bowel disease (IBD) is a common chronic inflammatory illness affecting the gastrointestinal tract. Cholangiocarcinoma (CCA) comprises a group of highly heterogeneous cancers originating from the biliary tract. Epidemiological evidence suggests a positive correlation between IBD and CCA. However, the pathological mechanisms are unestablished. This research aimed to identify common biomarkers and immune infiltration features in IBD and CCA to support early detection and development of targeted therapies. Methods: Based on transcriptomic data from the GEO and TCGA databases, candidate genes were obtained by integrating differentially expressed genes (DEGs) with key modules derived from weighted gene co-expression network analysis (WGCNA). Hub genes were subsequently screened using four machine learning algorithms. A comprehensive validation of the hub genes ( Results: By overlapping DEGs with key WGCNA modules, thirteen candidate genes were obtained. Eight common hub genes ( Conclusion: This research confirmed that
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