title: Mass spectrometry based metabolomic approaches in urinary biomarker study of women's cancers.
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.
  
  
  CONCLUSIONS
  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.
authors.affiliation: Life Sciences Division, Korea Institute of Science and Technology, 39-1 Hawolkok-dong, Seoul 136-791, Republic of Korea.
authors.forename: Han Min
authors.initials: HM
authors.lastname: Woo
authors.forename: Kyung Mi
authors.initials: KM
authors.lastname: Kim
authors.forename: Man Ho
authors.initials: MH
authors.lastname: Choi
authors.forename: Byung Hwa
authors.initials: BH
authors.lastname: Jung
authors.forename: Jeongae
authors.initials: J
authors.lastname: Lee
authors.forename: Gu
authors.initials: G
authors.lastname: Kong
authors.forename: Seok Jin
authors.initials: SJ
authors.lastname: Nam
authors.forename: Sunghoon
authors.initials: S
authors.lastname: Kim
authors.forename: Sang Wook
authors.initials: SW
authors.lastname: Bai
authors.forename: Bong Chul
authors.initials: BC
authors.lastname: Chung
mesh_terms: D015415:Biomarkers / Q000378:metabolism / Q000652:urine; D001943:Breast Neoplasms / Q000378:metabolism / Q000652:urine; D016022:Case-Control Studies; D016002:Discriminant Analysis; D005260:Female; D008401:Gas Chromatography-Mass Spectrometry; D006801:Humans; D016018:Least-Squares Analysis; D055432:Metabolomics / Q000379:methods*; D008875:Middle Aged; D015999:Multivariate Analysis; D009369:Neoplasms / Q000378:metabolism* / Q000652:urine*; D010051:Ovarian Neoplasms / Q000378:metabolism / Q000652:urine; D015203:Reproducibility of Results; D016482:Urinalysis / Q000379:methods*
chemical_list: D015415:Biomarkers