Screening of Potential Biomarkers for Gastric Cancer with Diagnostic Value Using Label-free Global Proteome Analysis

作     者：Yongxi Song Jun Wang Jingxu Sun Xiaowan Chen Jinxin Shi Zhonghua Wu Dehao Yu Fei Zhang Zhenning Wang Yongxi Song;Jun Wang;Jingxu Sun;Xiaowan Chen;Jinxin Shi;Zhonghua Wu;Dehao Yu;Fei Zhang;Zhenning Wang

作者机构：Department of Surgical Oncology and General SurgeryKey Laboratory of Precision Diagnosis and Treatment of Gastrointestinal TumorsMinistry of EducationThe First Affiliated Hospital of China Medical UniversityShenyang 110001China 

出 版 物：《Genomics, Proteomics & Bioinformatics》 (基因组蛋白质组与生物信息学报（英文版）)

年 卷 期：2020年第18卷第6期

页      面：679-695页

核心收录：

学科分类：1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学] 

基　　金：This work was supported by the National Key R&D Program of China(Grant Nos.MOST-2017YFC0908300 and MOST2017YFC0908305) the National Science Foundation of China(Grant No.81872031) the Natural Science Foundation of Liaoning Province,China(Grant No.20180550582) the Song Y et al/Diagnostic Biomarkers in Gastric Cancer 693 Project of Science and Technology of Shenyang,China(Grant No.18-014-4-07) 

主　　题：Gastric cancer Proteomics Label-free Bioinformatics Diagnosis 

摘      要：Gastric cancer(GC)is known as a top malignant type of tumors *** the recent decrease in mortality rates,the prognosis remains ***,it is necessary to find novel biomarkers with early diagnostic value for *** this study,we present a large-scale proteomic analysis of 30 GC tissues and 30 matched healthy tissues using label-free global proteome *** results identified 537 differentially expressed proteins,including 280 upregulated and 257 downregulated *** ingenuity pathway analysis(IPA)results indicated that the sirtuin signaling pathway was the most activated pathway in GC tissues whereas oxidative phosphorylation was the most ***,the most activated molecular function was cellular movement,including tissue invasion by tumor cell *** on IPA results,15 hub proteins were *** the receiver operating characteristic curve,most of hub proteins showed a high diagnostic power in distinguishing between tumors and healthy controls.A four-protein(ATP5B-ATP5O-NDUFB4-NDUFB8)diagnostic signature was built using a random forest *** area under the curve(AUC)values of this model were 0.996 and 0.886 for the training and testing sets,respectively,suggesting that the four-protein signature has a high diagnostic *** signature was further tested with independent datasets using plasma enzyme-linked immune sorbent assays,resulting in an AUC value of 0.778 for distinguishing GC tissues from healthy controls,and using immunohistochemical tissue microarray analysis,resulting in an AUC value of *** conclusion,this study identifies potential biomarkers and improves our understanding of the pathogenesis,providing novel therapeutic targets for GC.