Metabolic Profiling of Human Colorectal Cancer Using High Resolution 1H Nuclear Magnetic Resonance Spectroscopy
Colorectal cancer （CRC） is the third commonest malignancy cancer worldwide. Clear understandings of global metabolic profiling of the normal mucosa and cancer tissues are vitally important to aid optimizing the clinical management strategy and understanding CRC biology. We studied metabolic characte...
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| Published in | Chinese journal of chemistry Vol. 29; no. 11; pp. 2511 - 2519 |
|---|---|
| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
Weinheim
WILEY-VCH Verlag
01.11.2011
WILEY‐VCH Verlag Wiley Subscription Services, Inc |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1001-604X 1614-7065 |
| DOI | 10.1002/cjoc.201180423 |
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| Abstract | Colorectal cancer （CRC） is the third commonest malignancy cancer worldwide. Clear understandings of global metabolic profiling of the normal mucosa and cancer tissues are vitally important to aid optimizing the clinical management strategy and understanding CRC biology. We studied metabolic characteristics of 20 CRC and 20 distant normal mucosa tissues extracts from 20 patients using high resolution ^1H NMR spectroscopy in conjunction with multivariate analyses, such as principal component analysis （PCA）. Compared with distant normal mucosa tissues, lactate, taurine, ornithine and polyamine were present at significantly higher levels in CRC tissue extracts whereas myo-inositol was present at significantly lower level. Two metabolites ratios such as myo-inositolltaurine and myo-inositol/（ornithine＋polyamine） appear to be the most valuable biomarkers for the differentiation CRC from normal mucosa tissues. Our data suggested that HR ~H NMR spectroscopy combined with multivariate analy- ses is a potentially useful technology for detecting malignant changes in the normal mucosa tissues, the technique may be further exploited for future CRC biomarker research or identification of targets for therapeutic manipulations. |
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| AbstractList | Colorectal cancer （CRC） is the third commonest malignancy cancer worldwide. Clear understandings of global metabolic profiling of the normal mucosa and cancer tissues are vitally important to aid optimizing the clinical management strategy and understanding CRC biology. We studied metabolic characteristics of 20 CRC and 20 distant normal mucosa tissues extracts from 20 patients using high resolution ^1H NMR spectroscopy in conjunction with multivariate analyses, such as principal component analysis （PCA）. Compared with distant normal mucosa tissues, lactate, taurine, ornithine and polyamine were present at significantly higher levels in CRC tissue extracts whereas myo-inositol was present at significantly lower level. Two metabolites ratios such as myo-inositolltaurine and myo-inositol/（ornithine＋polyamine） appear to be the most valuable biomarkers for the differentiation CRC from normal mucosa tissues. Our data suggested that HR ~H NMR spectroscopy combined with multivariate analy- ses is a potentially useful technology for detecting malignant changes in the normal mucosa tissues, the technique may be further exploited for future CRC biomarker research or identification of targets for therapeutic manipulations. Colorectal cancer (CRC) is the third commonest malignancy cancer worldwide. Clear understandings of global metabolic profiling of the normal mucosa and cancer tissues are vitally important to aid optimizing the clinical management strategy and understanding CRC biology. We studied metabolic characteristics of 20 CRC and 20 distant normal mucosa tissues extracts from 20 patients using high resolution 1H NMR spectroscopy in conjunction with multivariate analyses, such as principal component analysis (PCA). Compared with distant normal mucosa tissues, lactate, taurine, ornithine and polyamine were present at significantly higher levels in CRC tissue extracts whereas myo-inositol was present at significantly lower level. Two metabolites ratios such as myo-inositol/taurine and myo-inositol/(ornithine+polyamine) appear to be the most valuable biomarkers for the differentiation CRC from normal mucosa tissues. Our data suggested that HR 1H NMR spectroscopy combined with multivariate analyses is a potentially useful technology for detecting malignant changes in the normal mucosa tissues, the technique may be further exploited for future CRC biomarker research or identification of targets for therapeutic manipulations. Colorectal cancer (CRC) is the third commonest malignancy cancer worldwide. Clear understandings of global metabolic profiling of the normal mucosa and cancer tissues are vitally important to aid optimizing the clinical management strategy and understanding CRC biology. We studied metabolic characteristics of 20 CRC and 20 distant normal mucosa tissues extracts from 20 patients using high resolution 1H NMR spectroscopy in conjunction with multivariate analyses, such as principal component analysis (PCA). Compared with distant normal mucosa tissues, lactate, taurine, ornithine and polyamine were present at significantly higher levels in CRC tissue extracts whereas myo‐inositol was present at significantly lower level. Two metabolites ratios such as myo‐inositol/taurine and myo‐inositol/(ornithine+polyamine) appear to be the most valuable biomarkers for the differentiation CRC from normal mucosa tissues. Our data suggested that HR 1H NMR spectroscopy combined with multivariate analyses is a potentially useful technology for detecting malignant changes in the normal mucosa tissues, the technique may be further exploited for future CRC biomarker research or identification of targets for therapeutic manipulations. In this study, the ratios of metabolite concentration (normalized integrals) were used to differentiate the CRC from normal mucosa tissues using HR 1H NMR spectra of the tissue extracts. As shown in Figure A and B, the prediction of CRC had 90% sensitivity and 95% specificity when the mI/Tau ratio was at 2.48 (horizontal dashed lines), and had 100% sensitivity and 90% specificity if the mI/(Orn+PA) ratio was at 5.41. Thus, the ratios of myo‐inositol/taurine and myo‐inositol/(ornithine+polyamine) may become potentially valuable biomarkers for detecting malignant changes in the healthy mucosa tissues. |
| Author | Du, Xiang Chen, Fener Huang, Dan Zhou, Xiaoyan Chen, Wenxue |
| AuthorAffiliation | Department of Chemistry, Fudan University, Shanghai 200433, China Department of Pathology and Oncology, Cancer Hospital, Fudan University, Shanghai 200032, China |
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| Copyright | Copyright © 2011 SIOC, CAS, Shanghai & WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim Copyright © 2011 SIOC, CAS, Shanghai & WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim |
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| Notes | 31-1547/O6 colorectal cancer, NMR spectroscopy, metabolic profiling, multivariate analyses, principal component analysis （PCA）, orthogonal partial least squares-discriminant analysis （OPLS-DA） Colorectal cancer （CRC） is the third commonest malignancy cancer worldwide. Clear understandings of global metabolic profiling of the normal mucosa and cancer tissues are vitally important to aid optimizing the clinical management strategy and understanding CRC biology. We studied metabolic characteristics of 20 CRC and 20 distant normal mucosa tissues extracts from 20 patients using high resolution ^1H NMR spectroscopy in conjunction with multivariate analyses, such as principal component analysis （PCA）. Compared with distant normal mucosa tissues, lactate, taurine, ornithine and polyamine were present at significantly higher levels in CRC tissue extracts whereas myo-inositol was present at significantly lower level. Two metabolites ratios such as myo-inositolltaurine and myo-inositol/（ornithine＋polyamine） appear to be the most valuable biomarkers for the differentiation CRC from normal mucosa tissues. Our data suggested that HR ~H NMR spectroscopy combined with multivariate analy- ses is a potentially useful technology for detecting malignant changes in the normal mucosa tissues, the technique may be further exploited for future CRC biomarker research or identification of targets for therapeutic manipulations. Chen, Wenxue Zhou, Xiaoyan Huang, Dan Chen, Fener Du, Xiang（a Department of Chemistry, Fudan University, Shanghai 200433, China b Department of Pathology and Oncology, Cancer Hospital, Fudan University, Shanghai 200032, China） ArticleID:CJOC201180423 the National Natural Science Foundation of China - No. 20872018 istex:07373739884F53BFA54146AF3A1FDE6736EB8D4A the State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics - No. T152805 ark:/67375/WNG-HF2PN4R0-J the China Postdoctoral Science Foundation - No. 20090450065 the Science & Technology Commission of Shanghai Municipality - No. 08411961800 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
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| PublicationDate | November, 2011 |
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| References_xml | – reference: Loening, N. M.; Chamberlin, A. M.; Zepeda, A. G.; Gonzalez, R. G.; Cheng, L. L.. NMR Biomed., 2005, 18, 413. – reference: Lean, C. L.; Mackinnon, W. B.; Delikatny, E. J.; Whitehead, R. H.; Mountford, C. E.. Biochemistry, 1992, 31, 11095. – reference: Humberstone, D. A.; Shaw, J. H.. Brit. J. Surg., 1989, 76, 154. – reference: Cloarec, O.; Dumas, M. E.; Trygg, J.; Craig, A.; Barton, R. H.; Lindon, J. C.; Nicholson, J. K.; Holmes, E.. Anal. Chem., 2005, 77, 517. – reference: Weber, M. J.; Nakamura, K. D.; Salter, D. W.. Fed. Proc., 1984, 43, 2246. – reference: Duffy, M. J.. Clin. Chem., 2001, 47, 624. – reference: Preece, N. E.; Amor, S.; Baker, D.; Gadian, D. G.; O'Neill, J. K.; Urenjak, J.. Magn. Reson. Med., 1994, 32, 692. – reference: Seiler, N.. Digestion, 1990, 46, 319. – reference: Huh, J. W.; Park, Y. A.; Jung, E. J.; Lee, K. Y.; Sohn, S. K.. J. Am. Coll. Surgeons, 2008, 207, 7. – reference: Brand, A.; Richter-Landsberg, C.; Leibfritz, D.. Dev. 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| Snippet | Colorectal cancer （CRC） is the third commonest malignancy cancer worldwide. Clear understandings of global metabolic profiling of the normal mucosa and cancer... Colorectal cancer (CRC) is the third commonest malignancy cancer worldwide. Clear understandings of global metabolic profiling of the normal mucosa and cancer... |
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| SubjectTerms | Colorectal cancer Colorectal carcinoma metabolic profiling Metabolism Metabolites multivariate analyses NMR NMR spectroscopy Nuclear magnetic resonance orthogonal partial least squares-discriminant analysis (OPLS-DA) Polyamines principal component analysis (PCA) Principal components analysis Spectroscopy Spectrum analysis Tissues 人类 代谢特点 大肠癌 恶性肿瘤 核磁共振光谱 生物标志物 轮廓 高分辨率 |
| Title | Metabolic Profiling of Human Colorectal Cancer Using High Resolution 1H Nuclear Magnetic Resonance Spectroscopy |
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