Integrative genome-wide expression and promoter DNA methylation profiling identifies a potential novel panel of ovarian cancer epigenetic biomarkers
To identify epigenetic-based biomarkers for diagnosis of ovarian cancer we performed MeDIP-Chip in A2780 and CaOV3 ovarian cancer cell lines. Validation by Sequenom massARRAY methylation analysis confirmed a panel of six gene promoters (ARMCX1, ICAM4, LOC134466, PEG3, PYCARD & SGNE1) where hyper...
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Veröffentlicht in: | Cancer letters 2012-05, Vol.318 (1), p.76-85 |
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creator | Gloss, Brian S Patterson, Kate I Barton, Caroline A Gonzalez, Maria Scurry, James P Hacker, Neville F Sutherland, Robert L O’Brien, Philippa M Clark, Susan J |
description | To identify epigenetic-based biomarkers for diagnosis of ovarian cancer we performed MeDIP-Chip in A2780 and CaOV3 ovarian cancer cell lines. Validation by Sequenom massARRAY methylation analysis confirmed a panel of six gene promoters (ARMCX1, ICAM4, LOC134466, PEG3, PYCARD & SGNE1) where hypermethylation discriminated 27 serous ovarian cancer clinical samples versus 12 normal ovarian surface epithelial cells (OSE) (ROC of 0.98). Notably, CpG sites across the transcription start site of a potential long-intergenic non-coding RNA (lincRNA) gene (LOC134466), was shown to be hypermethylated in 81% of serous EOC and could differentiate tumours from OSE (p |
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Validation by Sequenom massARRAY methylation analysis confirmed a panel of six gene promoters (ARMCX1, ICAM4, LOC134466, PEG3, PYCARD & SGNE1) where hypermethylation discriminated 27 serous ovarian cancer clinical samples versus 12 normal ovarian surface epithelial cells (OSE) (ROC of 0.98). Notably, CpG sites across the transcription start site of a potential long-intergenic non-coding RNA (lincRNA) gene (LOC134466), was shown to be hypermethylated in 81% of serous EOC and could differentiate tumours from OSE (p<0.05). We propose that this potential biomarker panel holds great promise as a diagnostic test for high-grade (Type II) serous ovarian cancer.</description><identifier>ISSN: 0304-3835</identifier><identifier>EISSN: 1872-7980</identifier><identifier>DOI: 10.1016/j.canlet.2011.12.003</identifier><identifier>PMID: 22155104</identifier><language>eng</language><publisher>Ireland: Elsevier Ireland Ltd</publisher><subject>animal ovaries ; Biomarkers ; Biomarkers - analysis ; Chemotherapy ; CpG Islands - genetics ; Cystadenocarcinoma, Serous - genetics ; DNA Methylation ; Epigenetics ; Epigenomics ; epithelial cells ; Female ; Gene Expression Profiling ; Gene Expression Regulation, Neoplastic ; Genes ; Genes, Tumor Suppressor ; Genome, Human ; Hematology, Oncology and Palliative Medicine ; Humans ; Microarray analysis ; non-coding RNA ; Oligonucleotide Array Sequence Analysis ; Ovarian cancer ; ovarian neoplasms ; Ovarian Neoplasms - genetics ; Ovary - metabolism ; Ovary - pathology ; Promoter Regions, Genetic - genetics ; Tumor Cells, Cultured ; Womens health</subject><ispartof>Cancer letters, 2012-05, Vol.318 (1), p.76-85</ispartof><rights>Elsevier Ireland Ltd</rights><rights>2011 Elsevier Ireland Ltd</rights><rights>Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.</rights><rights>Copyright Elsevier Limited May 1, 2012</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c534t-d2c564e6276e6a4dd16f70e097cb1a94bf8d79822c2e9acfd09cc56f4f4fd2023</citedby><cites>FETCH-LOGICAL-c534t-d2c564e6276e6a4dd16f70e097cb1a94bf8d79822c2e9acfd09cc56f4f4fd2023</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.canlet.2011.12.003$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22155104$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Gloss, Brian S</creatorcontrib><creatorcontrib>Patterson, Kate I</creatorcontrib><creatorcontrib>Barton, Caroline A</creatorcontrib><creatorcontrib>Gonzalez, Maria</creatorcontrib><creatorcontrib>Scurry, James P</creatorcontrib><creatorcontrib>Hacker, Neville F</creatorcontrib><creatorcontrib>Sutherland, Robert L</creatorcontrib><creatorcontrib>O’Brien, Philippa M</creatorcontrib><creatorcontrib>Clark, Susan J</creatorcontrib><title>Integrative genome-wide expression and promoter DNA methylation profiling identifies a potential novel panel of ovarian cancer epigenetic biomarkers</title><title>Cancer letters</title><addtitle>Cancer Lett</addtitle><description>To identify epigenetic-based biomarkers for diagnosis of ovarian cancer we performed MeDIP-Chip in A2780 and CaOV3 ovarian cancer cell lines. Validation by Sequenom massARRAY methylation analysis confirmed a panel of six gene promoters (ARMCX1, ICAM4, LOC134466, PEG3, PYCARD & SGNE1) where hypermethylation discriminated 27 serous ovarian cancer clinical samples versus 12 normal ovarian surface epithelial cells (OSE) (ROC of 0.98). Notably, CpG sites across the transcription start site of a potential long-intergenic non-coding RNA (lincRNA) gene (LOC134466), was shown to be hypermethylated in 81% of serous EOC and could differentiate tumours from OSE (p<0.05). We propose that this potential biomarker panel holds great promise as a diagnostic test for high-grade (Type II) serous ovarian cancer.</description><subject>animal ovaries</subject><subject>Biomarkers</subject><subject>Biomarkers - analysis</subject><subject>Chemotherapy</subject><subject>CpG Islands - genetics</subject><subject>Cystadenocarcinoma, Serous - genetics</subject><subject>DNA Methylation</subject><subject>Epigenetics</subject><subject>Epigenomics</subject><subject>epithelial cells</subject><subject>Female</subject><subject>Gene Expression Profiling</subject><subject>Gene Expression Regulation, Neoplastic</subject><subject>Genes</subject><subject>Genes, Tumor Suppressor</subject><subject>Genome, Human</subject><subject>Hematology, Oncology and Palliative Medicine</subject><subject>Humans</subject><subject>Microarray analysis</subject><subject>non-coding RNA</subject><subject>Oligonucleotide Array Sequence Analysis</subject><subject>Ovarian cancer</subject><subject>ovarian neoplasms</subject><subject>Ovarian Neoplasms - genetics</subject><subject>Ovary - metabolism</subject><subject>Ovary - pathology</subject><subject>Promoter Regions, Genetic - genetics</subject><subject>Tumor Cells, Cultured</subject><subject>Womens health</subject><issn>0304-3835</issn><issn>1872-7980</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkstu1DAUhi0EosPAGyCwxAI2Cbbj3DZIVblVqmBRurY89sngaWKndmZg3oMH5kQpIHVBFSlR5O__fS4_Ic85yznj1dtdbrTvYcoF4zznImeseEBWvKlFVrcNe0hWrGAyK5qiPCFPUtoxxkpZl4_JiRC8LDmTK_Lr3E-wjXpyB6Bb8GGA7IezQOHnGCElFzzV3tIxhiFMEOn7L6d0gOn7sUcNHuJB53rntxRVfnKdg0Q1HRHGP91THw7Q01F7fIeOhoOOTnuKxRu0g9HhrTA5QzcuDDpeQ0xPyaNO9wme3X7X5Orjh29nn7OLr5_Oz04vMlMWcsqsMGUloRJ1BZWW1vKqqxmwtjYbrlu56RqLkxDCCGi16SxrDSo6iY8VTBRr8nrxxSZu9pAmNbhkoO-x2LBPqhVozQteI_nmvyQvq6opWt7K-1HGmkZUUhSIvrqD7sI-emwZDVnF6rJu5yrlQpkYUorQqTE6nNQRrdQcBbVTSxTUHAXFhcIooOzFrfl-M4D9K_qzewReLkCng9Lb6JK6ukSHEnNSiBb7WZN3CwG4hIODqJJxgHuzLoKZlA3uvhruGhiMijO6v4YjpH_dqoQCdTkHds4rxyHVEg1-AzSf5q8</recordid><startdate>20120501</startdate><enddate>20120501</enddate><creator>Gloss, Brian S</creator><creator>Patterson, Kate I</creator><creator>Barton, Caroline A</creator><creator>Gonzalez, Maria</creator><creator>Scurry, James P</creator><creator>Hacker, Neville F</creator><creator>Sutherland, Robert L</creator><creator>O’Brien, Philippa M</creator><creator>Clark, Susan J</creator><general>Elsevier Ireland Ltd</general><general>Elsevier Limited</general><scope>FBQ</scope><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>7TO</scope><scope>7U9</scope><scope>H94</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7TM</scope><scope>7X8</scope></search><sort><creationdate>20120501</creationdate><title>Integrative genome-wide expression and promoter DNA methylation profiling identifies a potential novel panel of ovarian cancer epigenetic biomarkers</title><author>Gloss, Brian S ; Patterson, Kate I ; Barton, Caroline A ; Gonzalez, Maria ; Scurry, James P ; Hacker, Neville F ; Sutherland, Robert L ; O’Brien, Philippa M ; Clark, Susan J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c534t-d2c564e6276e6a4dd16f70e097cb1a94bf8d79822c2e9acfd09cc56f4f4fd2023</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>animal ovaries</topic><topic>Biomarkers</topic><topic>Biomarkers - analysis</topic><topic>Chemotherapy</topic><topic>CpG Islands - genetics</topic><topic>Cystadenocarcinoma, Serous - genetics</topic><topic>DNA Methylation</topic><topic>Epigenetics</topic><topic>Epigenomics</topic><topic>epithelial cells</topic><topic>Female</topic><topic>Gene Expression Profiling</topic><topic>Gene Expression Regulation, Neoplastic</topic><topic>Genes</topic><topic>Genes, Tumor Suppressor</topic><topic>Genome, Human</topic><topic>Hematology, Oncology and Palliative Medicine</topic><topic>Humans</topic><topic>Microarray analysis</topic><topic>non-coding RNA</topic><topic>Oligonucleotide Array Sequence Analysis</topic><topic>Ovarian cancer</topic><topic>ovarian neoplasms</topic><topic>Ovarian Neoplasms - genetics</topic><topic>Ovary - metabolism</topic><topic>Ovary - pathology</topic><topic>Promoter Regions, Genetic - genetics</topic><topic>Tumor Cells, Cultured</topic><topic>Womens health</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gloss, Brian S</creatorcontrib><creatorcontrib>Patterson, Kate I</creatorcontrib><creatorcontrib>Barton, Caroline A</creatorcontrib><creatorcontrib>Gonzalez, Maria</creatorcontrib><creatorcontrib>Scurry, James P</creatorcontrib><creatorcontrib>Hacker, Neville F</creatorcontrib><creatorcontrib>Sutherland, Robert L</creatorcontrib><creatorcontrib>O’Brien, Philippa M</creatorcontrib><creatorcontrib>Clark, Susan J</creatorcontrib><collection>AGRIS</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>Nucleic Acids Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Cancer letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gloss, Brian S</au><au>Patterson, Kate I</au><au>Barton, Caroline A</au><au>Gonzalez, Maria</au><au>Scurry, James P</au><au>Hacker, Neville F</au><au>Sutherland, Robert L</au><au>O’Brien, Philippa M</au><au>Clark, Susan J</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Integrative genome-wide expression and promoter DNA methylation profiling identifies a potential novel panel of ovarian cancer epigenetic biomarkers</atitle><jtitle>Cancer letters</jtitle><addtitle>Cancer Lett</addtitle><date>2012-05-01</date><risdate>2012</risdate><volume>318</volume><issue>1</issue><spage>76</spage><epage>85</epage><pages>76-85</pages><issn>0304-3835</issn><eissn>1872-7980</eissn><abstract>To identify epigenetic-based biomarkers for diagnosis of ovarian cancer we performed MeDIP-Chip in A2780 and CaOV3 ovarian cancer cell lines. Validation by Sequenom massARRAY methylation analysis confirmed a panel of six gene promoters (ARMCX1, ICAM4, LOC134466, PEG3, PYCARD & SGNE1) where hypermethylation discriminated 27 serous ovarian cancer clinical samples versus 12 normal ovarian surface epithelial cells (OSE) (ROC of 0.98). Notably, CpG sites across the transcription start site of a potential long-intergenic non-coding RNA (lincRNA) gene (LOC134466), was shown to be hypermethylated in 81% of serous EOC and could differentiate tumours from OSE (p<0.05). We propose that this potential biomarker panel holds great promise as a diagnostic test for high-grade (Type II) serous ovarian cancer.</abstract><cop>Ireland</cop><pub>Elsevier Ireland Ltd</pub><pmid>22155104</pmid><doi>10.1016/j.canlet.2011.12.003</doi><tpages>10</tpages></addata></record> |
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subjects | animal ovaries Biomarkers Biomarkers - analysis Chemotherapy CpG Islands - genetics Cystadenocarcinoma, Serous - genetics DNA Methylation Epigenetics Epigenomics epithelial cells Female Gene Expression Profiling Gene Expression Regulation, Neoplastic Genes Genes, Tumor Suppressor Genome, Human Hematology, Oncology and Palliative Medicine Humans Microarray analysis non-coding RNA Oligonucleotide Array Sequence Analysis Ovarian cancer ovarian neoplasms Ovarian Neoplasms - genetics Ovary - metabolism Ovary - pathology Promoter Regions, Genetic - genetics Tumor Cells, Cultured Womens health |
title | Integrative genome-wide expression and promoter DNA methylation profiling identifies a potential novel panel of ovarian cancer epigenetic biomarkers |
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