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作者

Wang, Guanghui Shi, Bin Fu, Yunong Zhao, Shasha Qu, Kai Guo, Qingbo Li, Ke She, Junjun

作者单位

Department of Hepatobiliary Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, China Health Science Center, Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, China Department of Gastroenterology Surgery, Liaocheng People's Hospital, Taishan Medical College, Liaocheng, 252000, Shandong, China Department of Clinical Laboratory, Yidu Central Hospital of Weifang, Weifang, 262500, Shandong, China Department of General Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, China Department of Central Laboratory, Liaocheng People's Hospital, Taishan Medical College, Liaocheng, 252000, Shandong, China

刊名

BIOMEDICINE & PHARMACOTHERAPY

年份

2019

卷号

Vol.111

页码

1334-1341

ISSN

0753-3322

关键词

PDGFRB Malignant phenotypes Gastric cancer NRP1 Methylation

摘要

Gastric cancer has been an increasingly serious problem in public health. However, there is still a lack of efficient approach to diagnosis and treatment in time, especially in the field of targeted therapy. Increasing evidences demonstrated that DNA methylation plays an essential role in tumorigenesis and progression of GC. Thus the present study aims to identify DNA methylation-based prognostic biomarkers in GC. Two methylation array datasets and RNA-seq based gene profiling dataset were em...更多

Gastric cancer has been an increasingly serious problem in public health. However, there is still a lack of efficient approach to diagnosis and treatment in time, especially in the field of targeted therapy. Increasing evidences demonstrated that DNA methylation plays an essential role in tumorigenesis and progression of GC. Thus the present study aims to identify DNA methylation-based prognostic biomarkers in GC. Two methylation array datasets and RNA-seq based gene profiling dataset were employed for exploring candidate DNA methylation-based biomarkers. Univariate Cox regression analysis was used to select the most efficient prognostic genes in GC patients. Weighted gene correlation network analysis was performed to screen the cluster of co-expressed genes. As a result, our data proved that NRP1 was a hypomethylated / upregulated gene in GC tissues, and PDGFRB was strongly co-expressed with it. Both of them were significantly associated with the overall survival of patients. More importantly, high expression levels of NRP1 and PDGFRB were associated with malignant phenotypes in GC patients, including Lauren histological diffuse type and higher histological grade. Patients carrying high expression level of NRP1 and PDGFRB had a nearly two-fold increased death risk than others. In summary, the hypomethylated gene, NRP1, and its co-expressed gene, PDGFRB, were significantly correlated with tumor malignant phenotypes, which might serve as potential prognostic biomarkers for GC patients.收起

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