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
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出版日期 | 2017 |
卷号 | 76期号:-页码:1-6 |
关键词 | Esophageal adenocarcinama (EAC) Prognosis Biomarker CRNKL1 |
ISSN号 | 0933-3657 |
DOI | 10.1016/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 |
WOS记录号 | WOS:000397816500001 |
出版者 | ELSEVIER SCIENCE BV |
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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