DICP OpenIR
A novel analysis method for biomarker identification based on horizontal relationship: identifying potential biomarkers from large-scale hepatocellular carcinoma metabolomics data
Su, Benzhe1; Luo, Ping2; Yang, Zhao3,4; Yu, Pei3,4; Li, Zaifang2; Yin, Peiyuan2; Zhou, Lina2; Fan, Jinhu3,4; Huang, Xin1; Lin, Xiaohui1; Qiao, Youlin3,4; Xu, Guowang2
Corresponding AuthorYin, Peiyuan(yinperry@126.com) ; Fan, Jinhu(Fanjh@cicams.ac.cn) ; Lin, Xiaohui(datas@dlut.edu.cn)
KeywordLC-MS/MS Biomarker identification Networks Metabolomics HCC
Source PublicationANALYTICAL AND BIOANALYTICAL CHEMISTRY
2019-09-01
ISSN1618-2642
DOI10.1007/s00216-019-02011-w
Volume411Issue:24Pages:6377-6386
Funding ProjectNational Natural Science Foundation of China[21375011] ; Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences (CIFMS)[2017-I2M-BR-03]
Funding OrganizationNational Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences (CIFMS) ; Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences (CIFMS) ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences (CIFMS) ; Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences (CIFMS) ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences (CIFMS) ; Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences (CIFMS) ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences (CIFMS) ; Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences (CIFMS)
WOS SubjectBiochemical Research Methods ; Chemistry, Analytical
WOS Research AreaBiochemistry & Molecular Biology ; Chemistry
WOS KeywordNUTRITION INTERVENTION TRIALS ; LIVER-DISEASE MORTALITY ; CANCER ; NETWORKS ; LINXIAN ; CLASSIFICATION ; ASSOCIATION ; DIAGNOSIS ; SELECTION ; PROTEIN
AbstractOmics techniques develop quickly and have made a great contribution to disease study. Omics data are usually complex. How to analyze the data and mine important information has been a key part in omics research. To study the nature of disease mechanisms systematically, we propose a new data analysis method to define the network biomarkers based on horizontal comparison (DNB-HC). DNB-HC performs molecule horizontal relationships to characterize the physiological status and differential network analysis to screen the biomarkers. We applied DNB-HC to analyze a large-scale metabolomics data, which contained 550 samples from a nested case-control hepatocellular carcinoma (HCC) study. A network biomarker was defined, and its areas under curves (AUC) in the receiver-operating characteristic (ROC) analysis for HCC discrimination were larger than those defined by six efficient feature selection methods in most cases. The effectiveness was further corroborated by another nested HCC dataset. Besides, the performance of the defined biomarkers was better than that of alpha-fetoprotein (AFP), a commonly used clinical biomarker for distinguishing HCC from high-risk population of liver cirrhosis in other two independent metabolomics validation sets. All and 90.3% of the AFP false-negative patients with HCC were correctly diagnosed in these two sets, respectively. The experimental results illustrate that DNB-HC can mine more important information reflecting the nature of the research problems by studying the feature horizontal relationship systematically and identifying effective disease biomarkers in clinical practice.
Language英语
Funding OrganizationNational Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences (CIFMS) ; Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences (CIFMS) ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences (CIFMS) ; Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences (CIFMS) ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences (CIFMS) ; Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences (CIFMS) ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences (CIFMS) ; Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences (CIFMS)
WOS IDWOS:000483638800015
PublisherSPRINGER HEIDELBERG
Citation statistics
Document Type期刊论文
Identifierhttp://cas-ir.dicp.ac.cn/handle/321008/173017
Collection中国科学院大连化学物理研究所
Corresponding AuthorYin, Peiyuan; Fan, Jinhu; Lin, Xiaohui
Affiliation1.Dalian Univ Technol, Sch Comp Sci & Technol, Dalian 116024, Peoples R China
2.Chinese Acad Sci, Dalian Inst Chem Phys, CAS Key Lab Separat Sci Analyt Chem, Dalian 116023, Peoples R China
3.Chinese Acad Med Sci, Natl Clin Res Ctr Canc, Dept Canc Epidemiol, Canc Hosp,Natl Canc Ctr, Beijing 100021, Peoples R China
4.Peking Union Med Coll, Beijing 100021, Peoples R China
Recommended Citation
GB/T 7714
Su, Benzhe,Luo, Ping,Yang, Zhao,et al. A novel analysis method for biomarker identification based on horizontal relationship: identifying potential biomarkers from large-scale hepatocellular carcinoma metabolomics data[J]. ANALYTICAL AND BIOANALYTICAL CHEMISTRY,2019,411(24):6377-6386.
APA Su, Benzhe.,Luo, Ping.,Yang, Zhao.,Yu, Pei.,Li, Zaifang.,...&Xu, Guowang.(2019).A novel analysis method for biomarker identification based on horizontal relationship: identifying potential biomarkers from large-scale hepatocellular carcinoma metabolomics data.ANALYTICAL AND BIOANALYTICAL CHEMISTRY,411(24),6377-6386.
MLA Su, Benzhe,et al."A novel analysis method for biomarker identification based on horizontal relationship: identifying potential biomarkers from large-scale hepatocellular carcinoma metabolomics data".ANALYTICAL AND BIOANALYTICAL CHEMISTRY 411.24(2019):6377-6386.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Su, Benzhe]'s Articles
[Luo, Ping]'s Articles
[Yang, Zhao]'s Articles
Baidu academic
Similar articles in Baidu academic
[Su, Benzhe]'s Articles
[Luo, Ping]'s Articles
[Yang, Zhao]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Su, Benzhe]'s Articles
[Luo, Ping]'s Articles
[Yang, Zhao]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.