Abstract:Objective To investigate obesity signature genes as potential biomarkers of pancreatic cancer and their possible molecular regulatory mechanisms.
Methods Based on the mRNA-Seq data of obesity and pancreatic cancer from GEO and TCGA-GTEx databases, we screened four obesity signature genes using a random forest tree algorithm and analyzed their expression in pancreatic cancer, and constructed a nomogram risk prediction model and performed preliminary validation of the predictive efficiency of the model. Then the… Show more
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