ArticleJournal of clinical biochemistry and nutrition2026
Exploring the potential targets and molecular mechanisms of cordycepin against gastric cancer based on bioinformatics analysis and network pharmacology.
Article in Journal of clinical biochemistry and nutrition, 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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Abstract
This study aimed to investigate the molecular targets and anti-tumor mechanisms of cordycepin in gastric cancer (GC). Bioinformatics analysis was performed using the GSE65801 dataset to identify differentially expressed genes (DEGs) in GC. Potential cordycepin targets were screened from the CTD database, and the key gene was identified by intersecting these targets with GC DEGs and constructing a PPI network. The expression of fibronectin 1 (FN1) in GC was validated using public databases (TIMER, GEPIA, and UALCAN) and
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