Pancreatic cancer (PC) whose mortality is comparable to morbidity is a highly fatal disease. Early approaches of diagnosis and treatment for PC are quite limited, so it is of great urgency to figure out the exact tumorigenesis and development mechanism of PC. To identify the related molecular markers of pancreatic oncogenesis, we downloaded three microarray datasets (GSE63111, GSE101448, and GSE107610) from Gene Expression Omnibus (GEO) database. The common differentially expressed genes (DEGs) among them were identified, and the corresponding function enrichment analyses were accomplished. The protein-protein interaction network was conducted by Search Tool for the Retrieval of Interacting Genes (STRING), and the corresponding module analysis was accomplished by Cytoscape. There were 55 DEGs found in total. The molecular function and biological processes (BP) of these DEGs mainly include cytokinesis, mitotic nuclear division, cell division, cell proliferation, microtubule-based movement, and mineral absorption. Among the 55 DEGs, 14 hub genes were further confirmed and it was concluded that they mainly function in mitotic cytokinesis, microtubule-based movement, mitotic chromosome condensation, and mitotic spindle assembly from the BP analysis. The survival analysis showed that all the 14 hub genes, especially nucleolar and spindle associated protein 1 and abnormal spindle microtubule assembly, may involve in the tumorigenesis and development of PC. And they might be used as new biomarkers for auxiliary diagnosis and potential targets for immunotherapy of PC.
第一作者机构:[1]Hebei Med Univ, Hosp 4, Hepatol Surg Dept, Shijiazhuang, Hebei, Peoples R China
共同第一作者:
通讯作者:
通讯机构:[9]Hebei Med Univ, Hosp 4, Dept Thorac Surg, Shijiazhuang, Hebei, Peoples R China[*1]Hebei Med Univ, Hosp 1, Dept Thorac Surg, 89th DongGang Rd, Shijiazhuang 050000, Hebei, Peoples R China
推荐引用方式(GB/T 7714):
Zhang Meng,Di Chen-Yi,Guo Peng,et al.Screening and Identification of Key Biomarkers in Pancreatic Cancer: Evidence from Bioinformatic Analysis[J].JOURNAL OF COMPUTATIONAL BIOLOGY.2020,27(7):1079-1091.doi:10.1089/cmb.2019.0189.
APA:
Zhang, Meng,Di, Chen-Yi,Guo, Peng,Meng, Ling-Bing,Shan, Meng-Jie...&Wang, Qiang.(2020).Screening and Identification of Key Biomarkers in Pancreatic Cancer: Evidence from Bioinformatic Analysis.JOURNAL OF COMPUTATIONAL BIOLOGY,27,(7)
MLA:
Zhang, Meng,et al."Screening and Identification of Key Biomarkers in Pancreatic Cancer: Evidence from Bioinformatic Analysis".JOURNAL OF COMPUTATIONAL BIOLOGY 27..7(2020):1079-1091