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ABSTRACT: Objective
Pancreatic cancer is distinguished by its high likelihood of metastasis and drug resistance, while the fundamental mechanisms are inadequately elucidated. This study aimed to identify pivotal hub genes associated with pancreatic cancer and assess their potential utility in predicting its onset and progression.Methods
Weighted gene co-expression network analysis (WGCNA) combined with differential expression analysis identified novel susceptibility modules and hub genes for pancreatic cancer. Kyoto Encyclopedia of Genes and Genomes and gene ontology analyses were utilized to explore the potential roles of these hub genes. Receiver operator characteristic curves and nomogram models were developed to evaluate diagnostic efficacy. Mendelian randomization, flow cytometr
SUBMITTER: Wu X
PROVIDER: S-EPMC11931664 | biostudies-literature | 2025
REPOSITORIES: biostudies-literature