H NMR-based metabolic profiling of human rectal cancer tissue

Rectal cancer is one of the most prevalent tumor types. Understanding the metabolic profile of rectal cancer is important for developing therapeutic approaches and molecular diagnosis. Here, we report a metabonomics profiling of tissue samples on a large cohort of human rectal cancer subjects (n = 1...

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Veröffentlicht in:Molecular cancer 2013-10, Vol.12 (1), p.121-121, Article 121
Hauptverfasser: Wang, Huijuan, Wang, Liang, Zhang, Hailong, Deng, Pengchi, Chen, Jie, Zhou, Bin, Hu, Jing, Zou, Jun, Lu, Wenjie, Xiang, Pu, Wu, Tianming, Shao, Xiaoni, Li, Yuan, Zhou, Zongguang, Zhao, Ying-Lan
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container_end_page 121
container_issue 1
container_start_page 121
container_title Molecular cancer
container_volume 12
creator Wang, Huijuan
Wang, Liang
Zhang, Hailong
Deng, Pengchi
Chen, Jie
Zhou, Bin
Hu, Jing
Zou, Jun
Lu, Wenjie
Xiang, Pu
Wu, Tianming
Shao, Xiaoni
Li, Yuan
Zhou, Zongguang
Zhao, Ying-Lan
description Rectal cancer is one of the most prevalent tumor types. Understanding the metabolic profile of rectal cancer is important for developing therapeutic approaches and molecular diagnosis. Here, we report a metabonomics profiling of tissue samples on a large cohort of human rectal cancer subjects (n = 127) and normal controls (n = 43) using 1H nuclear magnetic resonance (1H NMR) based metabonomics assay, which is a highly sensitive and non-destructive method for the biomarker identification in biological systems. Principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA) and orthogonal projection to latent structure with discriminant analysis (OPLS-DA) were applied to analyze the 1H-NMR profiling data to identify the distinguishing metabolites of rectal cancer. Excellent separation was obtained and distinguishing metabolites were observed among the different stages of rectal cancer tissues (stage I = 35; stage II = 37; stage III = 37 and stage IV = 18) and normal controls. A total of 38 differential metabolites were identified, 16 of which were closely correlated with the stage of rectal cancer. The up-regulation of 10 metabolites, including lactate, threonine, acetate, glutathione, uracil, succinate, serine, formate, lysine and tyrosine, were detected in the cancer tissues. On the other hand, 6 metabolites, including myo-inositol, taurine, phosphocreatine, creatine, betaine and dimethylglycine were decreased in cancer tissues. These modified metabolites revealed disturbance of energy, amino acids, ketone body and choline metabolism, which may be correlated with the progression of human rectal cancer. Our findings firstly identify the distinguishing metabolites in different stages of rectal cancer tissues, indicating possibility of the attribution of metabolites disturbance to the progression of rectal cancer. The altered metabolites may be as potential biomarkers, which would provide a promising molecular diagnostic approach for clinical diagnosis of human rectal cancer. The role and underlying mechanism of metabolites in rectal cancer progression are worth being further investigated.
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Understanding the metabolic profile of rectal cancer is important for developing therapeutic approaches and molecular diagnosis. Here, we report a metabonomics profiling of tissue samples on a large cohort of human rectal cancer subjects (n = 127) and normal controls (n = 43) using 1H nuclear magnetic resonance (1H NMR) based metabonomics assay, which is a highly sensitive and non-destructive method for the biomarker identification in biological systems. Principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA) and orthogonal projection to latent structure with discriminant analysis (OPLS-DA) were applied to analyze the 1H-NMR profiling data to identify the distinguishing metabolites of rectal cancer. Excellent separation was obtained and distinguishing metabolites were observed among the different stages of rectal cancer tissues (stage I = 35; stage II = 37; stage III = 37 and stage IV = 18) and normal controls. A total of 38 differential metabolites were identified, 16 of which were closely correlated with the stage of rectal cancer. The up-regulation of 10 metabolites, including lactate, threonine, acetate, glutathione, uracil, succinate, serine, formate, lysine and tyrosine, were detected in the cancer tissues. On the other hand, 6 metabolites, including myo-inositol, taurine, phosphocreatine, creatine, betaine and dimethylglycine were decreased in cancer tissues. These modified metabolites revealed disturbance of energy, amino acids, ketone body and choline metabolism, which may be correlated with the progression of human rectal cancer. Our findings firstly identify the distinguishing metabolites in different stages of rectal cancer tissues, indicating possibility of the attribution of metabolites disturbance to the progression of rectal cancer. The altered metabolites may be as potential biomarkers, which would provide a promising molecular diagnostic approach for clinical diagnosis of human rectal cancer. The role and underlying mechanism of metabolites in rectal cancer progression are worth being further investigated.</description><identifier>ISSN: 1476-4598</identifier><identifier>EISSN: 1476-4598</identifier><identifier>DOI: 10.1186/1476-4598-12-121</identifier><identifier>PMID: 24138801</identifier><language>eng</language><publisher>England: BioMed Central</publisher><subject>Adult ; Aged ; Aged, 80 and over ; Aspirin ; Biomarkers, Tumor - metabolism ; Case-Control Studies ; Coffee ; Colorectal cancer ; Female ; Humans ; Magnetic Resonance Spectroscopy ; Male ; Metabolic Networks and Pathways ; Metabolites ; Metabolome ; Middle Aged ; Neoplasm Staging ; NMR ; Nuclear magnetic resonance ; Principal Component Analysis ; Rectal Neoplasms - metabolism ; Rectal Neoplasms - pathology ; Rectum - metabolism ; Rectum - pathology</subject><ispartof>Molecular cancer, 2013-10, Vol.12 (1), p.121-121, Article 121</ispartof><rights>2013 Wang et al.; licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</rights><rights>Copyright © 2013 Wang et al.; licensee BioMed Central Ltd. 2013 Wang et al.; licensee BioMed Central Ltd.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b4651-bccd1a463ee2175caaec283936aab806c4ce089e9bf577881512c6116095021c3</citedby><cites>FETCH-LOGICAL-b4651-bccd1a463ee2175caaec283936aab806c4ce089e9bf577881512c6116095021c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3819675/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3819675/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24138801$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wang, Huijuan</creatorcontrib><creatorcontrib>Wang, Liang</creatorcontrib><creatorcontrib>Zhang, Hailong</creatorcontrib><creatorcontrib>Deng, Pengchi</creatorcontrib><creatorcontrib>Chen, Jie</creatorcontrib><creatorcontrib>Zhou, Bin</creatorcontrib><creatorcontrib>Hu, Jing</creatorcontrib><creatorcontrib>Zou, Jun</creatorcontrib><creatorcontrib>Lu, Wenjie</creatorcontrib><creatorcontrib>Xiang, Pu</creatorcontrib><creatorcontrib>Wu, Tianming</creatorcontrib><creatorcontrib>Shao, Xiaoni</creatorcontrib><creatorcontrib>Li, Yuan</creatorcontrib><creatorcontrib>Zhou, Zongguang</creatorcontrib><creatorcontrib>Zhao, Ying-Lan</creatorcontrib><title>H NMR-based metabolic profiling of human rectal cancer tissue</title><title>Molecular cancer</title><addtitle>Mol Cancer</addtitle><description>Rectal cancer is one of the most prevalent tumor types. 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The role and underlying mechanism of metabolites in rectal cancer progression are worth being further investigated.</description><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Aspirin</subject><subject>Biomarkers, Tumor - metabolism</subject><subject>Case-Control Studies</subject><subject>Coffee</subject><subject>Colorectal cancer</subject><subject>Female</subject><subject>Humans</subject><subject>Magnetic Resonance Spectroscopy</subject><subject>Male</subject><subject>Metabolic Networks and Pathways</subject><subject>Metabolites</subject><subject>Metabolome</subject><subject>Middle Aged</subject><subject>Neoplasm Staging</subject><subject>NMR</subject><subject>Nuclear magnetic resonance</subject><subject>Principal Component Analysis</subject><subject>Rectal Neoplasms - metabolism</subject><subject>Rectal Neoplasms - pathology</subject><subject>Rectum - metabolism</subject><subject>Rectum - pathology</subject><issn>1476-4598</issn><issn>1476-4598</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp1kc1rGzEQxUVJaRwn957KQi69bKvZ1dceGgimiQtJCiU5C60868jsrlxpN9D_vjJ2jBMSGJCYefPj8YaQz0C_ASjxHZgUOeOVyqFIBR_IZN86Ovgfk5MYV5SCVJJ9IscFg1IpChPyY57d3f7JaxNxkXU4mNq3zmbr4BvXun6Z-SZ7HDvTZwHtYNrMmt5iyAYX44in5GNj2ohnu3dKHq5-3s_m-c3v61-zy5u8ZoJDXlu7AMNEiViA5NYYtIUqq1IYUysqLLNIVYVV3XAplQIOhRUAglacFmDLKbnYctdj3eHCYj8E0-p1cJ0J_7Q3Tr-c9O5RL_2TLhVUQvIEmG0BtfPvAF5OrO_0Jj69iU9DkQoS5evORvB_R4yD7ly02LamRz_GtFBRyaXiLEnPX0lXfgx9CimpmKyShG1s0a3KBh9jwGbvCKjeXPgtD18Oo9gvPJ-0_A92QaA0</recordid><startdate>20131018</startdate><enddate>20131018</enddate><creator>Wang, Huijuan</creator><creator>Wang, Liang</creator><creator>Zhang, Hailong</creator><creator>Deng, Pengchi</creator><creator>Chen, Jie</creator><creator>Zhou, Bin</creator><creator>Hu, Jing</creator><creator>Zou, Jun</creator><creator>Lu, Wenjie</creator><creator>Xiang, Pu</creator><creator>Wu, Tianming</creator><creator>Shao, Xiaoni</creator><creator>Li, Yuan</creator><creator>Zhou, Zongguang</creator><creator>Zhao, Ying-Lan</creator><general>BioMed Central</general><general>BioMed Central Ltd</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TO</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>H94</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20131018</creationdate><title>H NMR-based metabolic profiling of human rectal cancer tissue</title><author>Wang, Huijuan ; 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Understanding the metabolic profile of rectal cancer is important for developing therapeutic approaches and molecular diagnosis. Here, we report a metabonomics profiling of tissue samples on a large cohort of human rectal cancer subjects (n = 127) and normal controls (n = 43) using 1H nuclear magnetic resonance (1H NMR) based metabonomics assay, which is a highly sensitive and non-destructive method for the biomarker identification in biological systems. Principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA) and orthogonal projection to latent structure with discriminant analysis (OPLS-DA) were applied to analyze the 1H-NMR profiling data to identify the distinguishing metabolites of rectal cancer. Excellent separation was obtained and distinguishing metabolites were observed among the different stages of rectal cancer tissues (stage I = 35; stage II = 37; stage III = 37 and stage IV = 18) and normal controls. A total of 38 differential metabolites were identified, 16 of which were closely correlated with the stage of rectal cancer. The up-regulation of 10 metabolites, including lactate, threonine, acetate, glutathione, uracil, succinate, serine, formate, lysine and tyrosine, were detected in the cancer tissues. On the other hand, 6 metabolites, including myo-inositol, taurine, phosphocreatine, creatine, betaine and dimethylglycine were decreased in cancer tissues. These modified metabolites revealed disturbance of energy, amino acids, ketone body and choline metabolism, which may be correlated with the progression of human rectal cancer. Our findings firstly identify the distinguishing metabolites in different stages of rectal cancer tissues, indicating possibility of the attribution of metabolites disturbance to the progression of rectal cancer. The altered metabolites may be as potential biomarkers, which would provide a promising molecular diagnostic approach for clinical diagnosis of human rectal cancer. The role and underlying mechanism of metabolites in rectal cancer progression are worth being further investigated.</abstract><cop>England</cop><pub>BioMed Central</pub><pmid>24138801</pmid><doi>10.1186/1476-4598-12-121</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record>
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subjects Adult
Aged
Aged, 80 and over
Aspirin
Biomarkers, Tumor - metabolism
Case-Control Studies
Coffee
Colorectal cancer
Female
Humans
Magnetic Resonance Spectroscopy
Male
Metabolic Networks and Pathways
Metabolites
Metabolome
Middle Aged
Neoplasm Staging
NMR
Nuclear magnetic resonance
Principal Component Analysis
Rectal Neoplasms - metabolism
Rectal Neoplasms - pathology
Rectum - metabolism
Rectum - pathology
title H NMR-based metabolic profiling of human rectal cancer tissue
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