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 |
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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. |
doi_str_mv | 10.1186/1476-4598-12-121 |
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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. 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><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 ; 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</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b4651-bccd1a463ee2175caaec283936aab806c4ce089e9bf577881512c6116095021c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Aspirin</topic><topic>Biomarkers, Tumor - metabolism</topic><topic>Case-Control Studies</topic><topic>Coffee</topic><topic>Colorectal cancer</topic><topic>Female</topic><topic>Humans</topic><topic>Magnetic Resonance Spectroscopy</topic><topic>Male</topic><topic>Metabolic Networks and Pathways</topic><topic>Metabolites</topic><topic>Metabolome</topic><topic>Middle Aged</topic><topic>Neoplasm Staging</topic><topic>NMR</topic><topic>Nuclear magnetic resonance</topic><topic>Principal Component Analysis</topic><topic>Rectal Neoplasms - metabolism</topic><topic>Rectal Neoplasms - pathology</topic><topic>Rectum - metabolism</topic><topic>Rectum - pathology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><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><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Molecular cancer</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Huijuan</au><au>Wang, Liang</au><au>Zhang, Hailong</au><au>Deng, Pengchi</au><au>Chen, Jie</au><au>Zhou, Bin</au><au>Hu, Jing</au><au>Zou, Jun</au><au>Lu, Wenjie</au><au>Xiang, Pu</au><au>Wu, Tianming</au><au>Shao, Xiaoni</au><au>Li, Yuan</au><au>Zhou, Zongguang</au><au>Zhao, Ying-Lan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>H NMR-based metabolic profiling of human rectal cancer tissue</atitle><jtitle>Molecular cancer</jtitle><addtitle>Mol Cancer</addtitle><date>2013-10-18</date><risdate>2013</risdate><volume>12</volume><issue>1</issue><spage>121</spage><epage>121</epage><pages>121-121</pages><artnum>121</artnum><issn>1476-4598</issn><eissn>1476-4598</eissn><abstract>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.</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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