Geneexpression profiles in patients with pancreatic ductal carcinoma
- Author:
Na SUN
1
Author Information
- Publication Type:Journal Article
- Keywords: Bioinformatics; Differentially expressed gene; Pancreatic cancer; Transcriptional profiling
- From: Journal of Xi'an Jiaotong University(Medical Sciences) 2020;41(2):192-196
- CountryChina
- Language:Chinese
- Abstract: Objective: To analyze the differentially expressed genes and their key regulatory proteins in pancreatic cancer tissues and adjacent tissues so as to provide evidence for the prevention and treatment of pancreatic cancer. Methods: The cDNA microarrays of pancreatic cancer patients were downloaded from the GEO Database. The data were then imported into GCBI; network analyzer and Genclip software were used to analyze the expression of gene expression profiles, gene function, and protein interaction network. We screened the key node genes between the two groups. Results: There were significant differences in gene expression profiles between cancer tissues and adjacent tissues. Among the 28 869 genes analyzed, there were 4 447 (15.40%) differentially expressed genes between cancer tissues and adjacent normal tissues. The first 250 differentially expressed genes interacted with each other. Network analysis found that five key proteins (SMURF1, MET, BCL2L1, RALA, ERBB4) were closely related to mainly protein binding and extracellular signal pathways. Conclusion: The gene expression profiles of cancer tissues and adjacent tissues are significantly different, suggesting that gene transcription profiles play a regulatory role in tumorigenesis. SMURF1 and MET genes have some ability to predict pancreatic cancer and may play a biological role because of the effects of protein binding and regulation of extracellular signal transduction.
