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作者

Chen Huiming Kong Yan Yao Qing Zhang Xing Fu Yunong Li Jia Liu Chang Wang Zheng

作者单位

Taishan Med Coll, Liaocheng Peoples Hosp, Dept Clin Lab, Liaocheng 252000, Shandong, Peoples R China Xi An Jiao Tong Univ, Dept Hepatobiliary Surg, Affiliated Hosp 1, Xian 710061, Shaanxi, Peoples R China Shaanxi Prov Rehabil Hosp, Dept Gen Surg, Xian 710065, Shaanxi, Peoples R China Xi An Jiao Tong Univ, Dept Orthopaed, Affiliated Hosp 1, Xian 710061, Shaanxi, Peoples R China

刊名

Aging

年份

2019

ISSN

1945-4589

关键词

MAP4K4 DNA methylation prognostic model SULT1E1 pancreatic cancer IGF2BP3

摘要

Pancreatic cancer is a highly malignant cancer with poor prognosis and high mortality. Aberrant DNA methylation plays a critical role in the occurrence, progression and prognosis of malignant tumors. In this study, we employed multiple datasets from APGI, TCGA and GEO to perform Multi-Omics analysis, including DNA methylation and expression profiling analysis. Three differentially expressed genes with altered status of DNA methylation were identified and then enrolled into prognostic risk scor...更多

Pancreatic cancer is a highly malignant cancer with poor prognosis and high mortality. Aberrant DNA methylation plays a critical role in the occurrence, progression and prognosis of malignant tumors. In this study, we employed multiple datasets from APGI, TCGA and GEO to perform Multi-Omics analysis, including DNA methylation and expression profiling analysis. Three differentially expressed genes with altered status of DNA methylation were identified and then enrolled into prognostic risk score model using LASSO regression. Univariate cox regression analysis indicated that high risk score was significantly associated with poor prognosis. Multivariate cox regression analysis proved the risk score was an independent prognostic factor for PC. In addition, time-dependent ROC curves indicated good performance of our model in predicting the 1-, 3- and 5-year survival of PC patients. Besides, stratified survival analysis revealed that the risk score model had greater prognostic value for patients of late stage with T3/T4 and N+. Pathway enrichment analysis suggested that these three genes might promote tumor progression by affecting signaling by Rho GTPases and chromosome segregation. In summary, three hypomethylated gene signature were significantly associated with patients＇ overall survival, which might serve as potential prognostic biomarkers for PC patients.收起

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