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| Identification of differently expressed hub genes in pancreatic cancer by weighted gene co-expression network analysis |
| CHEN Licai1, CHENG Yu2* |
1 Second Clinical Medical College, Binzhou Medical University, Yantai 264003, Shandong, P. R. China;
2 Yantai Affiliated Hospital, Binzhou Medical University, Yantai 264003, Shandong, P. R. China |
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Abstract Objective To identify the potential key genes and molecular mechanism of pancreatic cancer by weighted gene co-expression network analysis (WGCNA).Methods The gene data of pancreatic cancer and control group were obtained from the cancer genome atlas (TCGA) database. Differentially expressed genes (DEGs) were identified by limma package in R. Then, WGCNA was used to construct the gene co-expression network of pancreatic cancer, identify the co-expression modules, analyze the protein- protein interaction (PPI) and screen the key genes. Results Totally 106 DEGs were identified, and a key module (MEpurple) was identified by WGCNA analysis. We further screened 10 key genes, including PKP3, EPCAM, RAB25, CBLC, AP1M2, PRP15L, B3GNT3, ESRP1, AGR2, ARHGEF16.Conclusion By using WGCNA algorithm, we have identified the modules and genes related to pancreatic cancer, which provides a theoretical basis for further research on the molecular mechanism of pancreatic cancer development and treatment.
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Received: 30 October 2020
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