Discovery and validation of potential urinary biomarkers for bladder cancer diagnosis using a pseudotargeted GC-MS metabolomics method | |
Xu, Chuanliang3; Zhou, Yang1,2; Song, Ruixiang3; Ma, Chong3; Sun, Yinghao3; Xu, Guowang1; Yin, Peiyuan1; Zhou, Lina1; Zhang, Zhensheng3; Lu, Xin1 | |
刊名 | ONCOTARGET |
2017 | |
卷号 | 8期号:13页码:20719-20728 |
关键词 | Metabolomics Gas Chromatography-mass Spectrometry Biomarker Urine Bladder Cancer |
ISSN号 | 1949-2553 |
DOI | 10.18632/oncotarget.14988 |
文献子类 | Article |
英文摘要 | Bladder 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. |
WOS关键词 | GAS CHROMATOGRAPHY/MASS SPECTROMETRY ; PENTOSE-PHOSPHATE PATHWAY ; MASS-SPECTROMETRY ; DECONVOLUTION ; METABOLISM |
WOS研究方向 | Oncology ; Cell Biology |
语种 | 英语 |
出版者 | IMPACT JOURNALS LLC |
WOS记录号 | WOS:000397642400020 |
内容类型 | 期刊论文 |
源URL | [http://cas-ir.dicp.ac.cn/handle/321008/169394] |
专题 | 大连化学物理研究所_中国科学院大连化学物理研究所 |
通讯作者 | Xu, Chuanliang; Lu, Xin |
作者单位 | 1.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 |
推荐引用方式 GB/T 7714 | Xu, Chuanliang,Zhou, Yang,Song, Ruixiang,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 | Xu, Chuanliang.,Zhou, Yang.,Song, Ruixiang.,Ma, Chong.,Sun, Yinghao.,...&Liu, Xinyu.(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 | Xu, Chuanliang,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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