Epigenomic Analysis of Aberrantly Methylated Genes in Colorectal Cancer Identifies Genes Commonly Affected by Epigenetic Alterations
Background Determination of the profile of genes that are commonly methylated aberrantly in colorectal cancer (CRC) will have substantial value for diagnostic and therapeutic applications. However, there is limited knowledge of the DNA methylation pattern in CRC. Materials and Methods We analyzed th...
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Veröffentlicht in: | Annals of surgical oncology 2011-08, Vol.18 (8), p.2338-2347 |
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creator | Kim, Young-Ho Lee, Han Cheol Kim, Seon-Young Yeom, Young Il Ryu, Kyung Ju Min, Byung-Hoon Kim, Duk-Hwan Son, Hee Jung Rhee, Poong-Lyul Kim, Jae J. Rhee, Jong Chul Kim, Hee Cheol Chun, Ho-Kyung Grady, William M. Kim, Yong Sung |
description | Background
Determination of the profile of genes that are commonly methylated aberrantly in colorectal cancer (CRC) will have substantial value for diagnostic and therapeutic applications. However, there is limited knowledge of the DNA methylation pattern in CRC.
Materials and Methods
We analyzed the methylation profile of 27,578 CpG sites spanning more than 14,000 genes in CRC and in the adjacent normal mucosa with bead-chip array-based technology.
Results
We identified 621 CpG sites located in promoter regions and CpG islands that were greatly hypermethylated in CRC compared to normal mucosa. The genes on chromosome 18 showed promoter hypermethylation most frequently. According to gene ontology analysis, the most common biologically relevant class of genes affected by methylation was the class associated with the cadherin signaling pathway. Compared to the genome-wide expression array, mRNA expression was more likely to be downregulated in the genes demonstrating promoter hypermethylation, even though this was not statistically significant. We validated ten CpG sites that were hypermethylated (
ADHFE1
,
BOLL
,
SLC6A15
,
ADAMTS5
,
TFPI2
,
EYA4
,
NPY
,
TWIST1
,
LAMA1
,
GAS7
) and 2 CpG sites showing hypomethylation (
MAEL
,
SFT2D3
) in CRC compared to the normal mucosa in the array studies using pyrosequencing. The methylation status measured by pyrosequencing was consistent with the methylation array data.
Conclusions
Methylation profiling based on bead-chip arrays is an effective method for screening aberrantly methylated genes in CRC. In addition, we identified novel methylated genes that are candidate diagnostic or prognostic markers for CRC. |
doi_str_mv | 10.1245/s10434-011-1573-y |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3393129</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>904475402</sourcerecordid><originalsourceid>FETCH-LOGICAL-c566t-deda80d82c185bb7fa9f8f0aa791490525a5b59ad75a8d4b5a109ebb397fada23</originalsourceid><addsrcrecordid>eNqFkk9v1DAQxSMEon_gA3BBFhdOATux4_iCtIpKW6mISzlbk2SydeXYi-2tlDsfHK_SFqiEerLl-b03tucVxTtGP7GKi8-RUV7zkjJWMiHrcnlRHDORT3jTspd5T5u2VFUjjoqTGG8pZbKm4nVxVLFKtTVXx8Wvs53ZovOzGcjGgV2iicRPZNNjCOCSXcg3TDeLhYQjOUeHkRhHOm99wCGBJR24AQO5HNElM5lcX6nOz7N3Wb-Zpkxmdb-QtRumQzebMEAy3sU3xasJbMS39-tp8ePr2XV3UV59P7_sNlflIJomlSOO0NKxrQbWir6XE6ipnSiAVIwrKioBohcKRimgHXkvgFGFfV-rjI5Q1afFl9V3t-9nHId84wBW74KZISzag9H_Vpy50Vt_p-ta1fnLssHHe4Pgf-4xJj2bOKC14NDvo1aUcyk4rZ4lWyk5yxNgmfzwhLz1-5BHcYAaSRWlMkNshYbgYww4PV6aUX3Igl6zoHMW9CELesma93-_9lHxMPwMVCsQc8ltMfzp_H_X36Bkwu0</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>876709007</pqid></control><display><type>article</type><title>Epigenomic Analysis of Aberrantly Methylated Genes in Colorectal Cancer Identifies Genes Commonly Affected by Epigenetic Alterations</title><source>MEDLINE</source><source>SpringerLink Journals - AutoHoldings</source><creator>Kim, Young-Ho ; Lee, Han Cheol ; Kim, Seon-Young ; Yeom, Young Il ; Ryu, Kyung Ju ; Min, Byung-Hoon ; Kim, Duk-Hwan ; Son, Hee Jung ; Rhee, Poong-Lyul ; Kim, Jae J. ; Rhee, Jong Chul ; Kim, Hee Cheol ; Chun, Ho-Kyung ; Grady, William M. ; Kim, Yong Sung</creator><creatorcontrib>Kim, Young-Ho ; Lee, Han Cheol ; Kim, Seon-Young ; Yeom, Young Il ; Ryu, Kyung Ju ; Min, Byung-Hoon ; Kim, Duk-Hwan ; Son, Hee Jung ; Rhee, Poong-Lyul ; Kim, Jae J. ; Rhee, Jong Chul ; Kim, Hee Cheol ; Chun, Ho-Kyung ; Grady, William M. ; Kim, Yong Sung</creatorcontrib><description>Background
Determination of the profile of genes that are commonly methylated aberrantly in colorectal cancer (CRC) will have substantial value for diagnostic and therapeutic applications. However, there is limited knowledge of the DNA methylation pattern in CRC.
Materials and Methods
We analyzed the methylation profile of 27,578 CpG sites spanning more than 14,000 genes in CRC and in the adjacent normal mucosa with bead-chip array-based technology.
Results
We identified 621 CpG sites located in promoter regions and CpG islands that were greatly hypermethylated in CRC compared to normal mucosa. The genes on chromosome 18 showed promoter hypermethylation most frequently. According to gene ontology analysis, the most common biologically relevant class of genes affected by methylation was the class associated with the cadherin signaling pathway. Compared to the genome-wide expression array, mRNA expression was more likely to be downregulated in the genes demonstrating promoter hypermethylation, even though this was not statistically significant. We validated ten CpG sites that were hypermethylated (
ADHFE1
,
BOLL
,
SLC6A15
,
ADAMTS5
,
TFPI2
,
EYA4
,
NPY
,
TWIST1
,
LAMA1
,
GAS7
) and 2 CpG sites showing hypomethylation (
MAEL
,
SFT2D3
) in CRC compared to the normal mucosa in the array studies using pyrosequencing. The methylation status measured by pyrosequencing was consistent with the methylation array data.
Conclusions
Methylation profiling based on bead-chip arrays is an effective method for screening aberrantly methylated genes in CRC. In addition, we identified novel methylated genes that are candidate diagnostic or prognostic markers for CRC.</description><identifier>ISSN: 1068-9265</identifier><identifier>EISSN: 1534-4681</identifier><identifier>DOI: 10.1245/s10434-011-1573-y</identifier><identifier>PMID: 21298349</identifier><language>eng</language><publisher>New York: Springer-Verlag</publisher><subject>Adult ; Aged ; Biomarkers, Tumor - genetics ; Colorectal Neoplasms - genetics ; CpG Islands ; DNA Methylation ; Epigenesis, Genetic ; Epigenomics ; Female ; Gene Expression Regulation, Neoplastic ; Humans ; Male ; Medicine ; Medicine & Public Health ; Middle Aged ; Oligonucleotide Array Sequence Analysis ; Oncology ; Surgery ; Surgical Oncology ; Translational Research and Biomarkers</subject><ispartof>Annals of surgical oncology, 2011-08, Vol.18 (8), p.2338-2347</ispartof><rights>Society of Surgical Oncology 2011</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c566t-deda80d82c185bb7fa9f8f0aa791490525a5b59ad75a8d4b5a109ebb397fada23</citedby><cites>FETCH-LOGICAL-c566t-deda80d82c185bb7fa9f8f0aa791490525a5b59ad75a8d4b5a109ebb397fada23</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1245/s10434-011-1573-y$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1245/s10434-011-1573-y$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,776,780,881,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21298349$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kim, Young-Ho</creatorcontrib><creatorcontrib>Lee, Han Cheol</creatorcontrib><creatorcontrib>Kim, Seon-Young</creatorcontrib><creatorcontrib>Yeom, Young Il</creatorcontrib><creatorcontrib>Ryu, Kyung Ju</creatorcontrib><creatorcontrib>Min, Byung-Hoon</creatorcontrib><creatorcontrib>Kim, Duk-Hwan</creatorcontrib><creatorcontrib>Son, Hee Jung</creatorcontrib><creatorcontrib>Rhee, Poong-Lyul</creatorcontrib><creatorcontrib>Kim, Jae J.</creatorcontrib><creatorcontrib>Rhee, Jong Chul</creatorcontrib><creatorcontrib>Kim, Hee Cheol</creatorcontrib><creatorcontrib>Chun, Ho-Kyung</creatorcontrib><creatorcontrib>Grady, William M.</creatorcontrib><creatorcontrib>Kim, Yong Sung</creatorcontrib><title>Epigenomic Analysis of Aberrantly Methylated Genes in Colorectal Cancer Identifies Genes Commonly Affected by Epigenetic Alterations</title><title>Annals of surgical oncology</title><addtitle>Ann Surg Oncol</addtitle><addtitle>Ann Surg Oncol</addtitle><description>Background
Determination of the profile of genes that are commonly methylated aberrantly in colorectal cancer (CRC) will have substantial value for diagnostic and therapeutic applications. However, there is limited knowledge of the DNA methylation pattern in CRC.
Materials and Methods
We analyzed the methylation profile of 27,578 CpG sites spanning more than 14,000 genes in CRC and in the adjacent normal mucosa with bead-chip array-based technology.
Results
We identified 621 CpG sites located in promoter regions and CpG islands that were greatly hypermethylated in CRC compared to normal mucosa. The genes on chromosome 18 showed promoter hypermethylation most frequently. According to gene ontology analysis, the most common biologically relevant class of genes affected by methylation was the class associated with the cadherin signaling pathway. Compared to the genome-wide expression array, mRNA expression was more likely to be downregulated in the genes demonstrating promoter hypermethylation, even though this was not statistically significant. We validated ten CpG sites that were hypermethylated (
ADHFE1
,
BOLL
,
SLC6A15
,
ADAMTS5
,
TFPI2
,
EYA4
,
NPY
,
TWIST1
,
LAMA1
,
GAS7
) and 2 CpG sites showing hypomethylation (
MAEL
,
SFT2D3
) in CRC compared to the normal mucosa in the array studies using pyrosequencing. The methylation status measured by pyrosequencing was consistent with the methylation array data.
Conclusions
Methylation profiling based on bead-chip arrays is an effective method for screening aberrantly methylated genes in CRC. In addition, we identified novel methylated genes that are candidate diagnostic or prognostic markers for CRC.</description><subject>Adult</subject><subject>Aged</subject><subject>Biomarkers, Tumor - genetics</subject><subject>Colorectal Neoplasms - genetics</subject><subject>CpG Islands</subject><subject>DNA Methylation</subject><subject>Epigenesis, Genetic</subject><subject>Epigenomics</subject><subject>Female</subject><subject>Gene Expression Regulation, Neoplastic</subject><subject>Humans</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Middle Aged</subject><subject>Oligonucleotide Array Sequence Analysis</subject><subject>Oncology</subject><subject>Surgery</subject><subject>Surgical Oncology</subject><subject>Translational Research and Biomarkers</subject><issn>1068-9265</issn><issn>1534-4681</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNqFkk9v1DAQxSMEon_gA3BBFhdOATux4_iCtIpKW6mISzlbk2SydeXYi-2tlDsfHK_SFqiEerLl-b03tucVxTtGP7GKi8-RUV7zkjJWMiHrcnlRHDORT3jTspd5T5u2VFUjjoqTGG8pZbKm4nVxVLFKtTVXx8Wvs53ZovOzGcjGgV2iicRPZNNjCOCSXcg3TDeLhYQjOUeHkRhHOm99wCGBJR24AQO5HNElM5lcX6nOz7N3Wb-Zpkxmdb-QtRumQzebMEAy3sU3xasJbMS39-tp8ePr2XV3UV59P7_sNlflIJomlSOO0NKxrQbWir6XE6ipnSiAVIwrKioBohcKRimgHXkvgFGFfV-rjI5Q1afFl9V3t-9nHId84wBW74KZISzag9H_Vpy50Vt_p-ta1fnLssHHe4Pgf-4xJj2bOKC14NDvo1aUcyk4rZ4lWyk5yxNgmfzwhLz1-5BHcYAaSRWlMkNshYbgYww4PV6aUX3Igl6zoHMW9CELesma93-_9lHxMPwMVCsQc8ltMfzp_H_X36Bkwu0</recordid><startdate>20110801</startdate><enddate>20110801</enddate><creator>Kim, Young-Ho</creator><creator>Lee, Han Cheol</creator><creator>Kim, Seon-Young</creator><creator>Yeom, Young Il</creator><creator>Ryu, Kyung Ju</creator><creator>Min, Byung-Hoon</creator><creator>Kim, Duk-Hwan</creator><creator>Son, Hee Jung</creator><creator>Rhee, Poong-Lyul</creator><creator>Kim, Jae J.</creator><creator>Rhee, Jong Chul</creator><creator>Kim, Hee Cheol</creator><creator>Chun, Ho-Kyung</creator><creator>Grady, William M.</creator><creator>Kim, Yong Sung</creator><general>Springer-Verlag</general><general>Springer Nature B.V</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>8AO</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>H94</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>7TM</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>RC3</scope><scope>5PM</scope></search><sort><creationdate>20110801</creationdate><title>Epigenomic Analysis of Aberrantly Methylated Genes in Colorectal Cancer Identifies Genes Commonly Affected by Epigenetic Alterations</title><author>Kim, Young-Ho ; Lee, Han Cheol ; Kim, Seon-Young ; Yeom, Young Il ; Ryu, Kyung Ju ; Min, Byung-Hoon ; Kim, Duk-Hwan ; Son, Hee Jung ; Rhee, Poong-Lyul ; Kim, Jae J. ; Rhee, Jong Chul ; Kim, Hee Cheol ; Chun, Ho-Kyung ; Grady, William M. ; Kim, Yong Sung</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c566t-deda80d82c185bb7fa9f8f0aa791490525a5b59ad75a8d4b5a109ebb397fada23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Biomarkers, Tumor - genetics</topic><topic>Colorectal Neoplasms - genetics</topic><topic>CpG Islands</topic><topic>DNA Methylation</topic><topic>Epigenesis, Genetic</topic><topic>Epigenomics</topic><topic>Female</topic><topic>Gene Expression Regulation, Neoplastic</topic><topic>Humans</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Middle Aged</topic><topic>Oligonucleotide Array Sequence Analysis</topic><topic>Oncology</topic><topic>Surgery</topic><topic>Surgical Oncology</topic><topic>Translational Research and Biomarkers</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kim, Young-Ho</creatorcontrib><creatorcontrib>Lee, Han Cheol</creatorcontrib><creatorcontrib>Kim, Seon-Young</creatorcontrib><creatorcontrib>Yeom, Young Il</creatorcontrib><creatorcontrib>Ryu, Kyung Ju</creatorcontrib><creatorcontrib>Min, Byung-Hoon</creatorcontrib><creatorcontrib>Kim, Duk-Hwan</creatorcontrib><creatorcontrib>Son, Hee Jung</creatorcontrib><creatorcontrib>Rhee, Poong-Lyul</creatorcontrib><creatorcontrib>Kim, Jae J.</creatorcontrib><creatorcontrib>Rhee, Jong Chul</creatorcontrib><creatorcontrib>Kim, Hee Cheol</creatorcontrib><creatorcontrib>Chun, Ho-Kyung</creatorcontrib><creatorcontrib>Grady, William M.</creatorcontrib><creatorcontrib>Kim, Yong Sung</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>ProQuest Pharma Collection</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</collection><collection>ProQuest One Community College</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>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>Nucleic Acids Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Annals of surgical oncology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kim, Young-Ho</au><au>Lee, Han Cheol</au><au>Kim, Seon-Young</au><au>Yeom, Young Il</au><au>Ryu, Kyung Ju</au><au>Min, Byung-Hoon</au><au>Kim, Duk-Hwan</au><au>Son, Hee Jung</au><au>Rhee, Poong-Lyul</au><au>Kim, Jae J.</au><au>Rhee, Jong Chul</au><au>Kim, Hee Cheol</au><au>Chun, Ho-Kyung</au><au>Grady, William M.</au><au>Kim, Yong Sung</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Epigenomic Analysis of Aberrantly Methylated Genes in Colorectal Cancer Identifies Genes Commonly Affected by Epigenetic Alterations</atitle><jtitle>Annals of surgical oncology</jtitle><stitle>Ann Surg Oncol</stitle><addtitle>Ann Surg Oncol</addtitle><date>2011-08-01</date><risdate>2011</risdate><volume>18</volume><issue>8</issue><spage>2338</spage><epage>2347</epage><pages>2338-2347</pages><issn>1068-9265</issn><eissn>1534-4681</eissn><abstract>Background
Determination of the profile of genes that are commonly methylated aberrantly in colorectal cancer (CRC) will have substantial value for diagnostic and therapeutic applications. However, there is limited knowledge of the DNA methylation pattern in CRC.
Materials and Methods
We analyzed the methylation profile of 27,578 CpG sites spanning more than 14,000 genes in CRC and in the adjacent normal mucosa with bead-chip array-based technology.
Results
We identified 621 CpG sites located in promoter regions and CpG islands that were greatly hypermethylated in CRC compared to normal mucosa. The genes on chromosome 18 showed promoter hypermethylation most frequently. According to gene ontology analysis, the most common biologically relevant class of genes affected by methylation was the class associated with the cadherin signaling pathway. Compared to the genome-wide expression array, mRNA expression was more likely to be downregulated in the genes demonstrating promoter hypermethylation, even though this was not statistically significant. We validated ten CpG sites that were hypermethylated (
ADHFE1
,
BOLL
,
SLC6A15
,
ADAMTS5
,
TFPI2
,
EYA4
,
NPY
,
TWIST1
,
LAMA1
,
GAS7
) and 2 CpG sites showing hypomethylation (
MAEL
,
SFT2D3
) in CRC compared to the normal mucosa in the array studies using pyrosequencing. The methylation status measured by pyrosequencing was consistent with the methylation array data.
Conclusions
Methylation profiling based on bead-chip arrays is an effective method for screening aberrantly methylated genes in CRC. In addition, we identified novel methylated genes that are candidate diagnostic or prognostic markers for CRC.</abstract><cop>New York</cop><pub>Springer-Verlag</pub><pmid>21298349</pmid><doi>10.1245/s10434-011-1573-y</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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source | MEDLINE; SpringerLink Journals - AutoHoldings |
subjects | Adult Aged Biomarkers, Tumor - genetics Colorectal Neoplasms - genetics CpG Islands DNA Methylation Epigenesis, Genetic Epigenomics Female Gene Expression Regulation, Neoplastic Humans Male Medicine Medicine & Public Health Middle Aged Oligonucleotide Array Sequence Analysis Oncology Surgery Surgical Oncology Translational Research and Biomarkers |
title | Epigenomic Analysis of Aberrantly Methylated Genes in Colorectal Cancer Identifies Genes Commonly Affected by Epigenetic Alterations |
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