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Protein coding gene CRNKL1 as a potential prognostic biomarker in esophageal adenocarcinoma

文献类型：期刊论文

作者Li, Zhen1; Yao, Qianlan1; Zhao, Songjian1; Li, Yixue1,2; Wang, Zhen2; ,
刊名ARTIFICIAL INTELLIGENCE IN MEDICINE
出版日期2017
卷号76期号:-页码:1-6
ISSN号0933-3657
关键词Esophageal adenocarcinama (EAC) Prognosis Biomarker CRNKL1
DOI10.1016/j.artmed.2017.01.002
文献子类Article
英文摘要Background: Esophageal adenocarcinoma (EAC) is one of the most aggressive gastroesophageal cancers. PTGS2, EGFR, ERBB2 and TPS3 are the traditional EAC prognostic biomarkers, but they are still limited in their ability to effectively predict the overall survival. Objectives: To identify an improved biomarker for predicting the prognosis of EAC by using the expression profile. Materials and methods: Differential co-expression analysis and differential expression analysis were performed to identify the related genes of EAC The 5-fold cross-validation was used to select a prognostic biomarker from the 532 EAC related genes. Results: CRNKL1 was identified as a prognostic biomarker to predict the survival of EAC patients. It could significantly stratify EAC patients into high-risk and low-risk groups and was much better than the traditional biomarkers. Furthermore, ROC curve also verified that CRNKL1 with the highest area under the curve (AUC), reaching a sensitivity of 83.33% and a specificity of 78.57%. Conclusions: Our research proposed that CRNKL1 might be a novel prognostic biomarker with better predictive ability by comparing with the traditional biomarkers, which provided a preferable opportunity in the clinical applications of EAC. (C) 2017 Elsevier B.V. All rights reserved.
学科主题Computer Science ; Engineering ; Medical Informatics
WOS关键词DIFFERENTIALLY COEXPRESSED GENES ; CROOKED NECK ; CANCER ; EXPRESSION ; SURVIVAL ; LISTS ; TOOL
语种英语
出版者ELSEVIER SCIENCE BV
WOS记录号WOS:000397816500001
版本出版稿
源URL[http://202.127.25.144/handle/331004/1080]  
专题中国科学院上海生命科学研究院营养科学研究所
作者单位1.Shanghai Jioa Tong Univ, Sch Life Sci & Biotechnol, 800 Dong Chuan Rd, Shanghai, Peoples R China;
2.Chinese Acad Sci, Shanghai Inst Biol Sci, CAS MPG Partner Inst Computat Biol, Key Lab Computat Biol, Shanghai, Peoples R China,
推荐引用方式
GB/T 7714		 Li, Zhen,Yao, Qianlan,Zhao, Songjian,et al. Protein coding gene CRNKL1 as a potential prognostic biomarker in esophageal adenocarcinoma[J]. ARTIFICIAL INTELLIGENCE IN MEDICINE,2017,76(-):1-6.
APA Li, Zhen,Yao, Qianlan,Zhao, Songjian,Li, Yixue,Wang, Zhen,&,.(2017).Protein coding gene CRNKL1 as a potential prognostic biomarker in esophageal adenocarcinoma.ARTIFICIAL INTELLIGENCE IN MEDICINE,76(-),1-6.
MLA Li, Zhen,et al."Protein coding gene CRNKL1 as a potential prognostic biomarker in esophageal adenocarcinoma".ARTIFICIAL INTELLIGENCE IN MEDICINE 76.-(2017):1-6.

入库方式： OAI收割

来源：上海营养与健康研究所

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