Metabolomic screening and star pattern recognition by urinary amino acid profile analysis from bladder cancer patients
- Authors
- Kim, JW[Kim, Jeong-Whun]; Lee, G[Lee, Gwang]; Moon, SM[Moon, Seung-Min]; Park, MJ[Park, Myung-June]; Hong, SK[Hong, Sung Kyu]; Ahn, YH[Ahn, Young-Hwan]; Kim, KR[Kim, Kyoung-Rae]; Paik, MJ[Paik, Man-Jeong]
- Issue Date
- Jun-2010
- Publisher
- SPRINGER
- Keywords
- Metabolomic analysis; Bladder cancer; Urinary amino acids (AAs); Gas chromatography-mass spectrometry (GC-MS); Star pattern recognition
- Citation
- METABOLOMICS, v.6, no.2, pp.202 - 206
- Indexed
- SCIE
SCOPUS
- Journal Title
- METABOLOMICS
- Volume
- 6
- Number
- 2
- Start Page
- 202
- End Page
- 206
- URI
- https://scholarworks.bwise.kr/skku/handle/2021.sw.skku/74005
- DOI
- 10.1007/s11306-010-0199-6
- ISSN
- 1573-3882
- Abstract
- Metabolomic analysis of urinary amino acids (AAs) from patients with bladder cancer was performed by gas chromatography-mass spectrometry. The beta-aminoisobutyric acid (P < 0.05) and pyroglutamic acid (P < 0.03) levels among 21 AAs had relatively low P-values in the cancer group. The distorted star pattern of the cancer group was different from the heneicosagonal shape of the control mean. The present metabolomic screening combined with star pattern recognition method as clinical monitoring tool might be useful for the visual discrimination of bladder cancer group from normal group.
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- Appears in
Collections - Pharmacy > Department of Pharmacy > 1. Journal Articles
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