Capillary electrophoretic profiling and pattern recognition analysis of urinary nucleosides from uterine myoma and cervical cancer patients |
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| Institution: | 1. College of Pharmacy, Sungkyunkwan University, Suwon 440-746, South Korea;2. Department of Biotechnology, College of Engineering and Bioproducts Research Center, Yonsei University, Seoul 120-749, South Korea;3. Medizinische Universitaetsklinik, Zentrallaboratorium, D-72076 Tuebingen, Germany;1. Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095, Jiefang Road, Wuhan City, Hubei Province 430030, China;2. Department of Radiology, Xianning Central Hospital, Hubei University of Science and Technology, Hubei Province, China;3. Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA;4. Institute for Diagnostic and Interventional Radiology, Clinics for Neuroradiology and Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland;1. CONACyT - Universidad Autónoma de Zacatecas, Zacatecas, Mexico;2. Unidad Académica de Ingeniería Eléctrica, Universidad Autónoma de Zacatecas, Zacatecas, Mexico;3. Unidad Académica de Medicina Humana y Ciencias de la Salud, Universidad Autónoma de Zacatecas, Zacatecas, Mexico;4. Universidad de Monterrey, San Pedro Garza García, Nuevo Leon, Mexico;5. University of Science and Information Technology, Ohrid, Macedonia;1. Department of Environmental Engineering, Daegu University, Gyeongsan, Gyeongbuk 712-714, South Korea;2. Center for Materials Cycles and Waste Management Research, National Institute for Environmental Studies, Tsukuba, Japan;3. Civil, Environmental and Architectural Engineering, Korea University, Anam-Dong, Seongbuk-gu, Seoul 136-714, South Korea;4. IT Convergence Materials R&D Group, Korea Institute of Industrial Technology, Chungnam 330-825, South Korea;5. Sustainable Environmental Process Research Institute, Daegu University, Gyeongsan, Gyeongbuk 712-714, South Korea;1. Federal University of Maranhão – UFMA, Applied Computing Group – NCA, Av. dos Portugueses, SN, Campus do Bacanga, Bacanga, 65085-580, São Luís, MA, Brazil;2. Pontifical Catholic University of Rio de Janeiro – PUC-Rio, R. São Vicente, 225, Gávea, 22453-900, Rio de Janeiro, RJ, Brazil;1. Department of Hepatopathy, Ningbo No.2 Hospital, Ningbo 315000, China;2. Digestive Department, Ningbo No.2 Hospital, Ningbo 315000, China;3. Pharmaceutical Preparation Section, Ningbo No.2 Hospital, Ningbo 315000, China;4. Department of Paediatrics, Ningbo Women and Children’s Hospital, Ningbo 315000, China |
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| Abstract: | Capillary electrophoretic (CE) profiling analysis combined with pattern recognition methods is described for the correlation between urinary nucleoside profiles and uterine cervical cancer. Nucleosides were extracted from urine specimens by solid-phase extraction in affinity mode using phenylboronic acid gel. CE separation was carried out with an uncoated fused-silica capillary (570 mm×50 μm I.D.) maintained at 20°C, using 25 mM borate–42.5 mM phosphate buffer (pH 6.7) containing 200 mM sodium dodecyl sulfate as the run buffer under the applied voltage of 20 kV. A total of 15 nucleosides were positively identified in urine samples (2 ml) from eight uterine myoma (benign tumor group), 10 uterine cervical cancer (malignant tumor group) patients and 10 healthy females (normal group) studied. The star symbol plots drawn based on each mean concentration of nucleosides normalized to that in normal group enabled one to discriminate malignant and benign groups from normal group. In addition, canonical discriminant analysis performed on the nucleoside data of 28 individual urine specimens correctly classified into three separate clusters according to groups in the canonical plot. |
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