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Metabolomic screening and star pattern recognition by urinary amino acid profile analysis from bladder cancer patients
Authors:Jeong-Whun Kim  Gwang Lee  Seung-Min Moon  Myung-June Park  Sung Kyu Hong  Young-Hwan Ahn  Kyoung-Rae Kim  Man-Jeong Paik
Institution:(1) Department of Otorhinolaryngolog, Seoul National University Bundang Hospital, Seongnam, Republic of Korea;(2) Research Center for Sensory Organs in Seoul National University Medical Research Center, Seoul, Republic of Korea;(3) Metabolomic Analysis Laboratory, Institute for Neuroregeneration and Stem Cell Research, School of Medicine, Ajou University, Suwon, 443-721, Republic of Korea;(4) Department of Molecular Science and Technology, School of Medicine, Ajou University, Suwon, Republic of Korea;(5) Brain Disease Research Center, School of Medicine, Ajou University, Suwon, Republic of Korea;(6) Department of Chemical Engineering, Ajou University, Suwon, Republic of Korea;(7) Department of Urology, Seoul National University Bundang Hospital, Seongnam, Republic of Korea;(8) Department of Neurosurgery, School of Medicine, Ajou University, Suwon, Republic of Korea;(9) Biometabolite Analysis Laboratory, College of Pharmacy, Sungkyunkwan University, Suwon, Republic of Korea;
Abstract:Metabolomic analysis of urinary amino acids (AAs) from patients with bladder cancer was performed by gas chromatography–mass spectrometry. The β-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.
Keywords:
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