Analysis of Cyclin-Dependent Kinase 1 as an Independent Prognostic Factor for Gastric Cancer Based on Statistical Methods
ObjectiveThe aim of this study was to investigate the expression of cyclin-dependent kinase 1 (CDK1) in gastric cancer (GC), evaluate its relationship with the clinicopathological features and prognosis of GC, and analyze the advantage of CDK1 as a potential independent prognostic factor for GC.Meth...
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doaj-db87292ad3e84ad19e115d13dbe4e3412020-12-08T08:33:47ZengFrontiers Media S.A.Frontiers in Cell and Developmental Biology2296-634X2020-12-01810.3389/fcell.2020.620164620164Analysis of Cyclin-Dependent Kinase 1 as an Independent Prognostic Factor for Gastric Cancer Based on Statistical MethodsXu Zhang0Hua Ma1Quan Zou2Quan Zou3Jin Wu4School of Mathematics and Statistics, Southwest University, Chongqing, ChinaSchool of Mathematics and Statistics, Southwest University, Chongqing, ChinaInstitute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, ChinaHainan Key Laboratory for Computational Science and Application, Hainan Normal University, Haikou, ChinaSchool of Management, Shenzhen Polytechnic, Shenzhen, ChinaObjectiveThe aim of this study was to investigate the expression of cyclin-dependent kinase 1 (CDK1) in gastric cancer (GC), evaluate its relationship with the clinicopathological features and prognosis of GC, and analyze the advantage of CDK1 as a potential independent prognostic factor for GC.MethodsThe Cancer Genome Atlas (TCGA) data and corresponding clinical features of GC were collected. First, the aim gene was selected by combining five topological analysis methods, where the gene expression in paracancerous and GC tissues was analyzed by Limma package and Wilcox test. Second, the correlation between gene expression and clinical features was analyzed by logistic regression. Finally, the survival analysis was carried out by using the Kaplan–Meier. The gene prognostic value was evaluated by univariate and multivariate Cox analyses, and the gene potential biological function was explored by gene set enrichment analysis (GSEA).ResultsCDK1 was selected as one of the most important genes associated with GC. The expression level of CDK1 in GC tissues was significantly higher than that in paracancerous tissues, which was significantly correlated with pathological stage and grade. The survival rate of the CDK1 high expression group was significantly lower than that of the low expression group. CDK1 expression was significantly correlated with overall survival (OS). CDK1 expression was mainly involved in prostate cancer, small cell lung cancer, and GC and was enriched in the WNT signaling pathway and T cell receptor signaling pathway.ConclusionCDK1 may serve as an independent prognostic factor for GC. It is also expected to be a new target for molecular targeted therapy of GC.https://www.frontiersin.org/articles/10.3389/fcell.2020.620164/fullCDK1prognosisbiomarkergastric cancerbioinformatics |
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DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Xu Zhang Hua Ma Quan Zou Quan Zou Jin Wu |
spellingShingle |
Xu Zhang Hua Ma Quan Zou Quan Zou Jin Wu Analysis of Cyclin-Dependent Kinase 1 as an Independent Prognostic Factor for Gastric Cancer Based on Statistical Methods Frontiers in Cell and Developmental Biology CDK1 prognosis biomarker gastric cancer bioinformatics |
author_facet |
Xu Zhang Hua Ma Quan Zou Quan Zou Jin Wu |
author_sort |
Xu Zhang |
title |
Analysis of Cyclin-Dependent Kinase 1 as an Independent Prognostic Factor for Gastric Cancer Based on Statistical Methods |
title_short |
Analysis of Cyclin-Dependent Kinase 1 as an Independent Prognostic Factor for Gastric Cancer Based on Statistical Methods |
title_full |
Analysis of Cyclin-Dependent Kinase 1 as an Independent Prognostic Factor for Gastric Cancer Based on Statistical Methods |
title_fullStr |
Analysis of Cyclin-Dependent Kinase 1 as an Independent Prognostic Factor for Gastric Cancer Based on Statistical Methods |
title_full_unstemmed |
Analysis of Cyclin-Dependent Kinase 1 as an Independent Prognostic Factor for Gastric Cancer Based on Statistical Methods |
title_sort |
analysis of cyclin-dependent kinase 1 as an independent prognostic factor for gastric cancer based on statistical methods |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Cell and Developmental Biology |
issn |
2296-634X |
publishDate |
2020-12-01 |
description |
ObjectiveThe aim of this study was to investigate the expression of cyclin-dependent kinase 1 (CDK1) in gastric cancer (GC), evaluate its relationship with the clinicopathological features and prognosis of GC, and analyze the advantage of CDK1 as a potential independent prognostic factor for GC.MethodsThe Cancer Genome Atlas (TCGA) data and corresponding clinical features of GC were collected. First, the aim gene was selected by combining five topological analysis methods, where the gene expression in paracancerous and GC tissues was analyzed by Limma package and Wilcox test. Second, the correlation between gene expression and clinical features was analyzed by logistic regression. Finally, the survival analysis was carried out by using the Kaplan–Meier. The gene prognostic value was evaluated by univariate and multivariate Cox analyses, and the gene potential biological function was explored by gene set enrichment analysis (GSEA).ResultsCDK1 was selected as one of the most important genes associated with GC. The expression level of CDK1 in GC tissues was significantly higher than that in paracancerous tissues, which was significantly correlated with pathological stage and grade. The survival rate of the CDK1 high expression group was significantly lower than that of the low expression group. CDK1 expression was significantly correlated with overall survival (OS). CDK1 expression was mainly involved in prostate cancer, small cell lung cancer, and GC and was enriched in the WNT signaling pathway and T cell receptor signaling pathway.ConclusionCDK1 may serve as an independent prognostic factor for GC. It is also expected to be a new target for molecular targeted therapy of GC. |
topic |
CDK1 prognosis biomarker gastric cancer bioinformatics |
url |
https://www.frontiersin.org/articles/10.3389/fcell.2020.620164/full |
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