DICP OpenIR
Discovery and validation of potential urinary biomarkers for bladder cancer diagnosis using a pseudotargeted GC-MS metabolomics method
Zhou, Yang1,2; Song, Ruixiang3; Ma, Chong3; Zhou, Lina1; Liu, Xinyu1,2; Yin, Peiyuan1; Zhang, Zhensheng3; Sun, Yinghao3; Xu, Chuanliang3; Lu, Xin1; Xu, Guowang1
KeywordMetabolomics Gas Chromatography-mass Spectrometry Biomarker Urine Bladder Cancer
Source PublicationONCOTARGET
2017
ISSN1949-2553
DOI10.18632/oncotarget.14988
Volume8Issue:13Pages:20719-20728
Indexed BySCI
SubtypeArticle
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine
WOS SubjectOncology ; Cell Biology
WOS Research AreaOncology ; Cell Biology
WOS KeywordGAS CHROMATOGRAPHY/MASS SPECTROMETRY ; PENTOSE-PHOSPHATE PATHWAY ; MASS-SPECTROMETRY ; DECONVOLUTION ; METABOLISM
AbstractBladder cancer (BC) is the second most prevalent malignancy in the urinary system and is associated with significant mortality; thus, there is an urgent need for novel noninvasive diagnostic biomarkers. A urinary pseudotargeted method based on gas chromatography-mass spectrometry was developed and validated for a BC metabolomics study. The method exhibited good repeatability, intraday and interday precision, linearity and metabolome coverage. A total of 76 differential metabolites were defined in the discovery sample set, 58 of which were verified using an independent validation urine set. The verified differential metabolites revealed that energy metabolism, anabolic metabolism and cell redox states were disordered in BC. Based on a binary logistic regression analysis, a four-biomarker panel was defined for the diagnosis of BC. The area under the receiving operator characteristic curve was 0.885 with 88.0% sensitivity and 85.7% specificity in the discovery set and 0.804 with 78.0% sensitivity and 70.3% specificity in the validation set. The combinatorial biomarker panel was also useful for the early diagnosis of BC. This approach can be used to discriminate non-muscle invasive and low-grade BCs from healthy controls with satisfactory sensitivity and specificity. The results show that the developed urinary metabolomics method can be employed to effectively screen noninvasive biomarkers.
Language英语
WOS IDWOS:000397642400020
PublisherIMPACT JOURNALS LLC
Citation statistics
Cited Times:16[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://cas-ir.dicp.ac.cn/handle/321008/169395
Collection中国科学院大连化学物理研究所
Corresponding AuthorXu, Chuanliang; Lu, Xin
Affiliation1.Chinese Acad Sci, Dalian Inst Chem Phys, Key Lab Separat Sci Analyt Chem, Dalian 116023, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Secondary Mil Med Univ, Shanghai Changhai Hosp, Dept Urol, Shanghai 200433, Peoples R China
Recommended Citation
GB/T 7714
Zhou, Yang,Song, Ruixiang,Ma, Chong,et al. Discovery and validation of potential urinary biomarkers for bladder cancer diagnosis using a pseudotargeted GC-MS metabolomics method[J]. ONCOTARGET,2017,8(13):20719-20728.
APA Zhou, Yang.,Song, Ruixiang.,Ma, Chong.,Zhou, Lina.,Liu, Xinyu.,...&Xu, Guowang.(2017).Discovery and validation of potential urinary biomarkers for bladder cancer diagnosis using a pseudotargeted GC-MS metabolomics method.ONCOTARGET,8(13),20719-20728.
MLA Zhou, Yang,et al."Discovery and validation of potential urinary biomarkers for bladder cancer diagnosis using a pseudotargeted GC-MS metabolomics method".ONCOTARGET 8.13(2017):20719-20728.
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