Zhili Hu1,2, Fang Song3, Yangzhi Hu2, Tianyou Liao4. 1. Department of Gastrointestinal Surgery, Liuzhou People's Hospital, Liuzhou, Guangxi Province 545006, China. 2. Department of Gastrointestinal Surgery, Affiliated Hospital of Xiangnan University, Chenzhou, Hunan Province 423000, China. 3. Department of Gastroenterology, Zaoyang First People's Hospital, Zaoyang, Xiangyang, Hubei Province 441200, China. 4. Department of Gastrointestinal Surgery, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde Foshan), Shunde, Foshan, Guangdong Province, 528300, China.
Abstract
OBJECTIVES: Prolyl 4-hydroxylase subunit alpha 1 (P4HA1) plays a crucial role in modulating extracellular matrix component and promoting tumor progression by changing tumor adhesion, migration, and other biological behaviors in some cancers. However, its expression pattern, biological function, and underlying mechanism in pancreatic cancer remain largely unclear. MATERIALS AND METHODS: In this study, a set of bioinformatics tools were used to analyze the expression of P4HA1 and its prognostic value in pancreatic cancer. In addition, the mechanism through which P4HA1 promotes the progression of pancreatic cancer was explored by constructing a competing endogenous RNA (ceRNA) regulatory axis. RESULTS: It was found that the mRNA and protein expression of P4HA1 was significantly higher in pancreatic cancer tissues than in normal tissues. Its high P4HA1 expression correlated with poor clinicopathological features (T stage: P = 0.0078; N stage: P = 0.0124; TNM stage: P = 0.0013; pathological grade: P = 0.0108) and poor prognosis [OS: HR = 1, 95% CI (1-1.01), P = 0.00028; DSS: HR = 1, 95% CI (1-1.01), P = 0.00049; PFI: HR = 1.01, 95% CI (1.01-1.02), P = 0.0057; and DFI: HR = 1, 95% CI (1-1.01), P = 0.0034]. The LINC01503/miR-335-5p/P4HA1 axis might mediate the effects of P4HA1 in promoting the progression on pancreatic cancer. CONCLUSIONS: Collectively, our findings suggest that high expression of P4HA1 may be used as a promising prognostic biomarker and could be considered for the development of a novel therapeutic strategy for pancreatic cancer in the future.
OBJECTIVES: Prolyl 4-hydroxylase subunit alpha 1 (P4HA1) plays a crucial role in modulating extracellular matrix component and promoting tumor progression by changing tumor adhesion, migration, and other biological behaviors in some cancers. However, its expression pattern, biological function, and underlying mechanism in pancreatic cancer remain largely unclear. MATERIALS AND METHODS: In this study, a set of bioinformatics tools were used to analyze the expression of P4HA1 and its prognostic value in pancreatic cancer. In addition, the mechanism through which P4HA1 promotes the progression of pancreatic cancer was explored by constructing a competing endogenous RNA (ceRNA) regulatory axis. RESULTS: It was found that the mRNA and protein expression of P4HA1 was significantly higher in pancreatic cancer tissues than in normal tissues. Its high P4HA1 expression correlated with poor clinicopathological features (T stage: P = 0.0078; N stage: P = 0.0124; TNM stage: P = 0.0013; pathological grade: P = 0.0108) and poor prognosis [OS: HR = 1, 95% CI (1-1.01), P = 0.00028; DSS: HR = 1, 95% CI (1-1.01), P = 0.00049; PFI: HR = 1.01, 95% CI (1.01-1.02), P = 0.0057; and DFI: HR = 1, 95% CI (1-1.01), P = 0.0034]. The LINC01503/miR-335-5p/P4HA1 axis might mediate the effects of P4HA1 in promoting the progression on pancreatic cancer. CONCLUSIONS: Collectively, our findings suggest that high expression of P4HA1 may be used as a promising prognostic biomarker and could be considered for the development of a novel therapeutic strategy for pancreatic cancer in the future.
Authors: Andrea Franceschini; Damian Szklarczyk; Sune Frankild; Michael Kuhn; Milan Simonovic; Alexander Roth; Jianyi Lin; Pablo Minguez; Peer Bork; Christian von Mering; Lars J Jensen Journal: Nucleic Acids Res Date: 2012-11-29 Impact factor: 16.971
Authors: Edward Y Chen; Christopher M Tan; Yan Kou; Qiaonan Duan; Zichen Wang; Gabriela Vaz Meirelles; Neil R Clark; Avi Ma'ayan Journal: BMC Bioinformatics Date: 2013-04-15 Impact factor: 3.169