Combination of TNM staging and pathway based risk score models in patients with gastric cancer

doi:10.1002/jcb.26563

科研成果详情

题名	Combination of TNM staging and pathway based risk score models in patients with gastric cancer
作者	Zhou, Yang-Yang1; Kang, Yan-Ting 2; Chen, Chao 1; Xu, Fan-Fan1; Wang, Hao-Nan3; Jin, Rong1,4
发表日期	2018-04
发表期刊	JOURNAL OF CELLULAR BIOCHEMISTRY 影响因子和分区
语种	英语
原始文献类型	Article
关键词	Cox gastric cancer GEO Kaplan-Meier risk score model TCGA
其他关键词	STEM-CELLS ; EXPRESSION ; GROWTH ; SIGNATURE
摘要	Due to the complexity and heterogeneity of gastric cancer (GC) in individual patient, current staging system is inadequate for predicting outcome of GC. Comprehensive computational and bioinformatics approach may triumph for the prediction. In this study, GC patients were devided according to stage and treatment: curative surgery plus chemoradiotherapy in stage II, curative surgery plus chemoradiotherapy in stages III, and IV, unresectable metastatic gastric cancer. The training sets were downloaded from GEO datasets (GSE26253 and GSE14208). Gene set enrichment analysis (GSEA) was performed to explore enriched difference between recurrence and nonrecurrence. The core enrichment genes of enriched pathways significantly associated with recurrence or progression were identified using Cox proportional hazards analysis. Thereafter, the risk score models were externally validated in independent datasets-GSE15081 and The Cancer Genome Atlas (TCGA). We generated respective risk score models of patients in different stages and treatment. A five-gene signature comprising FARP1, SGCE, SGCA, LAMA4, and COL9A2 was strongly associated with recurrence of patients with curative surgery plus chemoradiotherapy in stage II. A six-gene signature consisting of SHH, NF1, AP4B1, COMP, MATN3, and CCL8 was correlated with recurrence of patients with curative surgery plus chemoradiotherapy in stages III and IV. And a four-gene signature composing of ABCC2, AHNAK2, RNF43, and GSPT2 was highly related to progression of patients with unresectable metastatic GC. Taking into consideration TNM stage and gene signature reflecting recurrence or progression, the risk score models significantly improved the accuracy in predicting outcome of GC.
资助项目	Wenzhou Science and Technology Bureau [Y20170180]
出版者	WILEY
出版地	HOBOKEN
ISSN	0730-2312
EISSN	1097-4644
卷号	119 期号:4 页码:3608-3617
DOI	10.1002/jcb.26563
页数	10
WOS类目	Biochemistry & Molecular Biology ; Cell Biology
WOS研究方向	Biochemistry & Molecular Biology ; Cell Biology
WOS记录号	WOS:000426187500057
收录类别	SCIE ; PUBMED ; SCOPUS
URL	查看原文
PubMed ID	29231991
SCOPUSEID	2-s2.0-85040193207
通讯作者地址	[Jin, Rong]Department of Gastroenterology,The First Affiliated Hospital of Wenzhou Medical University,Wenzhou,China
Scopus学科分类	Biochemistry;Molecular Biology;Cell Biology
引用统计	被引频次：23[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	https://kms.wmu.edu.cn/handle/3ETUA0LF/15379
专题	附属第一医院_消化内科药学院（分析测试中心）第一临床医学院（信息与工程学院）、附属第一医院_流行病学
通讯作者	Jin, Rong
作者单位	1.Department of Gastroenterology,The First Affiliated Hospital of Wenzhou Medical University,Wenzhou,China; 2.Department of Ultrasonography,Yichun people's hospital,Yichun,China; 3.School of Pharmaceutical sciences,Wenzhou Medical University,Wenzhou,China; 4.Department of Epidemiology,The First Affiliated Hospital of Wenzhou Medical University,Wenzhou,China
第一作者单位	附属第一医院; 第一临床医学院（信息与工程学院）、附属第一医院
通讯作者单位	附属第一医院; 第一临床医学院（信息与工程学院）、附属第一医院
第一作者的第一单位	附属第一医院
推荐引用方式 GB/T 7714	Zhou, Yang-Yang,Kang, Yan-Ting,Chen, Chao,et al. Combination of TNM staging and pathway based risk score models in patients with gastric cancer[J]. JOURNAL OF CELLULAR BIOCHEMISTRY,2018,119(4):3608-3617.
APA	Zhou, Yang-Yang, Kang, Yan-Ting, Chen, Chao, Xu, Fan-Fan, Wang, Hao-Nan, & Jin, Rong. (2018). Combination of TNM staging and pathway based risk score models in patients with gastric cancer. JOURNAL OF CELLULAR BIOCHEMISTRY, 119(4), 3608-3617.
MLA	Zhou, Yang-Yang,et al."Combination of TNM staging and pathway based risk score models in patients with gastric cancer".JOURNAL OF CELLULAR BIOCHEMISTRY 119.4(2018):3608-3617.