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Mass spectrometry based metabolomic approaches in urinary biomarker study of women's cancers

Authors
 Han Min Woo  ;  Kyung Mi Kim  ;  Man Ho Choi  ;  Byung Hwa Jung  ;  Jeongae Lee  ;  Gu Kong  ;  Seok Jin Nam  ;  Sunghoon Kim  ;  Sang Wook Bai  ;  Bong Chul Chung 
Citation
 CLINICA CHIMICA ACTA, Vol.400(1-2) : 63-69, 2009 
Journal Title
CLINICA CHIMICA ACTA
ISSN
 0009-8981 
Issue Date
2009
MeSH
Biomarkers/metabolism ; Biomarkers/urine ; Breast Neoplasms/metabolism ; Breast Neoplasms/urine ; Case-Control Studies ; Discriminant Analysis ; Female ; Gas Chromatography-Mass Spectrometry ; Humans ; Least-Squares Analysis ; Metabolomics/methods* ; Middle Aged ; Multivariate Analysis ; Neoplasms/metabolism* ; Neoplasms/urine* ; Ovarian Neoplasms/metabolism ; Ovarian Neoplasms/urine ; Reproducibility of Results ; Urinalysis/methods*
Keywords
Metabolomics ; Breast cancer ; Ovarian cancer ; Cervical cancer ; PLS-DA
Abstract
BACKGROUND: The metabolomic approaches for mining biomarkers of women's cancers based on gas chromatography-mass spectrometry and liquid chromatography-mass spectrometry combined with partial least squares-discriminant analysis are described.

METHODS: To identify urinary potential biomarkers, the qualitative and quantitative analyses were introduced with 10 breast, 9 ovarian and 12 cervical cancer patients as well as 22 normal controls, which were considered with their ages and menopausal state.

RESULTS: For comprehensive metabolomic approaches, the non-targeted qualitative profiling was first achieved to get metabolic patterns of collected samples and the targeted quantitative analysis focused on hormonal metabolism was also conducted. Two known biomarkers, i.e., 5-hydroxymethyl-2-deoxyuridine and 8-hydroxy-2-deoxyguanosine, in breast cancer were also confirmed using the present methods. In addition, 3 potential biomarkers for ovarian cancer i.e. 1-methyladenosine, 3-methyluridine, and 4-androstene-3,17-dione, which were categorized in significantly increased level using one way of variance analysis (p<0.05), were identified as quantitatively targeted metabolites with pattern analysis. The cancer markers identified in this study are highly related to metabolites which are responsible for oxidative DNA damage and DNA methylation process.

CONCLUSION: The present metabolomic approaches are not only useful for diagnostic tools and patient stratification, but may be mapped on metabolic network to reflect disease states.
Full Text
http://www.sciencedirect.com/science/article/pii/S0009898108004920
DOI
10.1016/j.cca.2008.10.014
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Obstetrics and Gynecology (산부인과학교실) > 1. Journal Papers
Yonsei Authors
Kim, Sung Hoon(김성훈) ORCID logo https://orcid.org/0000-0002-1645-7473
Bai, Sang Wook(배상욱) ORCID logo https://orcid.org/0000-0001-7724-7552
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/104930
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