DNA methylation biomarkers predict progression-free and overall survival of metastatic renal cell cancer (mRCC) treated with antiangiogenic therapies
VEGF-targeted therapy increases both the progression-free (PFS) and overall survival (OS) of patients with metastasized renal cell cancer (mRCC). Identification of molecular phenotypes of RCC could improve risk-stratification and the prediction of the clinical disease course. We investigated whether...
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creator | Peters, Inga Dubrowinskaja, Natalia Abbas, Mahmoud Seidel, Christoph Kogosov, Michael Scherer, Ralph Gebauer, Kai Merseburger, Axel S Kuczyk, Markus A Grünwald, Viktor Serth, Jürgen |
description | VEGF-targeted therapy increases both the progression-free (PFS) and overall survival (OS) of patients with metastasized renal cell cancer (mRCC). Identification of molecular phenotypes of RCC could improve risk-stratification and the prediction of the clinical disease course. We investigated whether gene-specific DNA hypermethylation can predict PFS and OS among patients undergoing anti-VEGF-based therapy. Primary tumor tissues from 18 patients receiving targeted therapy were examined retrospectively using quantitative methylation-specific PCR analysis of CST6, LAD1, hsa-miR-124-3, and hsa-miR-9-1 CpG islands. PFS and OS were analyzed for first-line and sequential antiangiogenic therapies using the log rank statistics. Sensitivity and specificity were determined for predicting first-line therapy failure. Hypermethylation of CST6 and LAD1 was associated with both a shortened PFS (log rank p = 0.009 and p = 0.004) and OS (p = 0.011 and p = 0.043). The median PFS observed for the high and low methylation groups of CST6 and LAD1 was 2.0 vs.11.4 months. LAD1 methylation had a specificity of 1.0 (95% CI 0.65-1.0) and a sensitivity of 0.73 (95% CI 0.43-0.90) for the prediction of first-line therapy. CST6 and LAD1 methylation are candidate epigenetic biomarkers showing unprecedented association with PFS and OS as well as specificity for the prediction of the response to therapy. DNA methylation markers should be considered for the prospective evaluation of larger patient cohorts in future studies. |
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Identification of molecular phenotypes of RCC could improve risk-stratification and the prediction of the clinical disease course. We investigated whether gene-specific DNA hypermethylation can predict PFS and OS among patients undergoing anti-VEGF-based therapy. Primary tumor tissues from 18 patients receiving targeted therapy were examined retrospectively using quantitative methylation-specific PCR analysis of CST6, LAD1, hsa-miR-124-3, and hsa-miR-9-1 CpG islands. PFS and OS were analyzed for first-line and sequential antiangiogenic therapies using the log rank statistics. Sensitivity and specificity were determined for predicting first-line therapy failure. Hypermethylation of CST6 and LAD1 was associated with both a shortened PFS (log rank p = 0.009 and p = 0.004) and OS (p = 0.011 and p = 0.043). The median PFS observed for the high and low methylation groups of CST6 and LAD1 was 2.0 vs.11.4 months. LAD1 methylation had a specificity of 1.0 (95% CI 0.65-1.0) and a sensitivity of 0.73 (95% CI 0.43-0.90) for the prediction of first-line therapy. CST6 and LAD1 methylation are candidate epigenetic biomarkers showing unprecedented association with PFS and OS as well as specificity for the prediction of the response to therapy. DNA methylation markers should be considered for the prospective evaluation of larger patient cohorts in future studies.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0091440</identifier><identifier>PMID: 24633192</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Aged ; Aged, 80 and over ; Analysis ; Angiogenesis Inhibitors - therapeutic use ; Antiangiogenics ; Antineoplastic agents ; Antineoplastic Agents - therapeutic use ; Biological markers ; Biomarkers ; Cancer ; Cancer genetics ; Cancer metastasis ; Carcinoma, Renal Cell - drug therapy ; Carcinoma, Renal Cell - genetics ; Carcinoma, Renal Cell - mortality ; Carcinoma, Renal Cell - pathology ; Cell survival ; Cluster Analysis ; CpG islands ; Deoxyribonucleic acid ; Development and progression ; DNA ; DNA Methylation ; Epigenetic inheritance ; Epigenetics ; Female ; Genes ; Humans ; Kidney cancer ; Kidneys ; Male ; Medical research ; Medicine ; Metastases ; Methylation ; Middle Aged ; Mutation ; Neoplasm Metastasis ; Neoplasm Staging ; Patient outcomes ; Patients ; Predictions ; Prognosis ; Renal cell carcinoma ; ROC Curve ; Sensitivity ; Statistical analysis ; Survival ; Therapy ; Tissues ; Treatment Outcome ; Vascular endothelial growth factor</subject><ispartof>PloS one, 2014-03, Vol.9 (3), p.e91440-e91440</ispartof><rights>COPYRIGHT 2014 Public Library of Science</rights><rights>2014 Peters et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2014 Peters et al 2014 Peters et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c593t-6a64ea18a667cb7240984eced199640fc9484bf90c5a2361030db73690bf0cf73</citedby><cites>FETCH-LOGICAL-c593t-6a64ea18a667cb7240984eced199640fc9484bf90c5a2361030db73690bf0cf73</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/PMC3954691/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3954691/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24633192$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Zhang, Zhengdong</contributor><creatorcontrib>Peters, Inga</creatorcontrib><creatorcontrib>Dubrowinskaja, Natalia</creatorcontrib><creatorcontrib>Abbas, Mahmoud</creatorcontrib><creatorcontrib>Seidel, Christoph</creatorcontrib><creatorcontrib>Kogosov, Michael</creatorcontrib><creatorcontrib>Scherer, Ralph</creatorcontrib><creatorcontrib>Gebauer, Kai</creatorcontrib><creatorcontrib>Merseburger, Axel S</creatorcontrib><creatorcontrib>Kuczyk, Markus A</creatorcontrib><creatorcontrib>Grünwald, Viktor</creatorcontrib><creatorcontrib>Serth, Jürgen</creatorcontrib><title>DNA methylation biomarkers predict progression-free and overall survival of metastatic renal cell cancer (mRCC) treated with antiangiogenic therapies</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>VEGF-targeted therapy increases both the progression-free (PFS) and overall survival (OS) of patients with metastasized renal cell cancer (mRCC). Identification of molecular phenotypes of RCC could improve risk-stratification and the prediction of the clinical disease course. We investigated whether gene-specific DNA hypermethylation can predict PFS and OS among patients undergoing anti-VEGF-based therapy. Primary tumor tissues from 18 patients receiving targeted therapy were examined retrospectively using quantitative methylation-specific PCR analysis of CST6, LAD1, hsa-miR-124-3, and hsa-miR-9-1 CpG islands. PFS and OS were analyzed for first-line and sequential antiangiogenic therapies using the log rank statistics. Sensitivity and specificity were determined for predicting first-line therapy failure. Hypermethylation of CST6 and LAD1 was associated with both a shortened PFS (log rank p = 0.009 and p = 0.004) and OS (p = 0.011 and p = 0.043). The median PFS observed for the high and low methylation groups of CST6 and LAD1 was 2.0 vs.11.4 months. LAD1 methylation had a specificity of 1.0 (95% CI 0.65-1.0) and a sensitivity of 0.73 (95% CI 0.43-0.90) for the prediction of first-line therapy. CST6 and LAD1 methylation are candidate epigenetic biomarkers showing unprecedented association with PFS and OS as well as specificity for the prediction of the response to therapy. DNA methylation markers should be considered for the prospective evaluation of larger patient cohorts in future studies.</description><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Analysis</subject><subject>Angiogenesis Inhibitors - therapeutic use</subject><subject>Antiangiogenics</subject><subject>Antineoplastic agents</subject><subject>Antineoplastic Agents - therapeutic use</subject><subject>Biological markers</subject><subject>Biomarkers</subject><subject>Cancer</subject><subject>Cancer genetics</subject><subject>Cancer metastasis</subject><subject>Carcinoma, Renal Cell - drug therapy</subject><subject>Carcinoma, Renal Cell - genetics</subject><subject>Carcinoma, Renal Cell - mortality</subject><subject>Carcinoma, Renal Cell - pathology</subject><subject>Cell survival</subject><subject>Cluster Analysis</subject><subject>CpG islands</subject><subject>Deoxyribonucleic acid</subject><subject>Development and progression</subject><subject>DNA</subject><subject>DNA Methylation</subject><subject>Epigenetic inheritance</subject><subject>Epigenetics</subject><subject>Female</subject><subject>Genes</subject><subject>Humans</subject><subject>Kidney cancer</subject><subject>Kidneys</subject><subject>Male</subject><subject>Medical research</subject><subject>Medicine</subject><subject>Metastases</subject><subject>Methylation</subject><subject>Middle Aged</subject><subject>Mutation</subject><subject>Neoplasm Metastasis</subject><subject>Neoplasm Staging</subject><subject>Patient outcomes</subject><subject>Patients</subject><subject>Predictions</subject><subject>Prognosis</subject><subject>Renal cell carcinoma</subject><subject>ROC Curve</subject><subject>Sensitivity</subject><subject>Statistical analysis</subject><subject>Survival</subject><subject>Therapy</subject><subject>Tissues</subject><subject>Treatment Outcome</subject><subject>Vascular endothelial growth 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methylation biomarkers predict progression-free and overall survival of metastatic renal cell cancer (mRCC) treated with antiangiogenic therapies</title><author>Peters, Inga ; Dubrowinskaja, Natalia ; Abbas, Mahmoud ; Seidel, Christoph ; Kogosov, Michael ; Scherer, Ralph ; Gebauer, Kai ; Merseburger, Axel S ; Kuczyk, Markus A ; Grünwald, Viktor ; Serth, Jürgen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c593t-6a64ea18a667cb7240984eced199640fc9484bf90c5a2361030db73690bf0cf73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Analysis</topic><topic>Angiogenesis Inhibitors - therapeutic use</topic><topic>Antiangiogenics</topic><topic>Antineoplastic agents</topic><topic>Antineoplastic Agents - therapeutic use</topic><topic>Biological markers</topic><topic>Biomarkers</topic><topic>Cancer</topic><topic>Cancer 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progression-free and overall survival of metastatic renal cell cancer (mRCC) treated with antiangiogenic therapies</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2014-03-14</date><risdate>2014</risdate><volume>9</volume><issue>3</issue><spage>e91440</spage><epage>e91440</epage><pages>e91440-e91440</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>VEGF-targeted therapy increases both the progression-free (PFS) and overall survival (OS) of patients with metastasized renal cell cancer (mRCC). Identification of molecular phenotypes of RCC could improve risk-stratification and the prediction of the clinical disease course. We investigated whether gene-specific DNA hypermethylation can predict PFS and OS among patients undergoing anti-VEGF-based therapy. Primary tumor tissues from 18 patients receiving targeted therapy were examined retrospectively using quantitative methylation-specific PCR analysis of CST6, LAD1, hsa-miR-124-3, and hsa-miR-9-1 CpG islands. PFS and OS were analyzed for first-line and sequential antiangiogenic therapies using the log rank statistics. Sensitivity and specificity were determined for predicting first-line therapy failure. Hypermethylation of CST6 and LAD1 was associated with both a shortened PFS (log rank p = 0.009 and p = 0.004) and OS (p = 0.011 and p = 0.043). The median PFS observed for the high and low methylation groups of CST6 and LAD1 was 2.0 vs.11.4 months. LAD1 methylation had a specificity of 1.0 (95% CI 0.65-1.0) and a sensitivity of 0.73 (95% CI 0.43-0.90) for the prediction of first-line therapy. CST6 and LAD1 methylation are candidate epigenetic biomarkers showing unprecedented association with PFS and OS as well as specificity for the prediction of the response to therapy. DNA methylation markers should be considered for the prospective evaluation of larger patient cohorts in future studies.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>24633192</pmid><doi>10.1371/journal.pone.0091440</doi><oa>free_for_read</oa></addata></record> |
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source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Public Library of Science (PLoS) Journals Open Access; PubMed Central; Free Full-Text Journals in Chemistry |
subjects | Aged Aged, 80 and over Analysis Angiogenesis Inhibitors - therapeutic use Antiangiogenics Antineoplastic agents Antineoplastic Agents - therapeutic use Biological markers Biomarkers Cancer Cancer genetics Cancer metastasis Carcinoma, Renal Cell - drug therapy Carcinoma, Renal Cell - genetics Carcinoma, Renal Cell - mortality Carcinoma, Renal Cell - pathology Cell survival Cluster Analysis CpG islands Deoxyribonucleic acid Development and progression DNA DNA Methylation Epigenetic inheritance Epigenetics Female Genes Humans Kidney cancer Kidneys Male Medical research Medicine Metastases Methylation Middle Aged Mutation Neoplasm Metastasis Neoplasm Staging Patient outcomes Patients Predictions Prognosis Renal cell carcinoma ROC Curve Sensitivity Statistical analysis Survival Therapy Tissues Treatment Outcome Vascular endothelial growth factor |
title | DNA methylation biomarkers predict progression-free and overall survival of metastatic renal cell cancer (mRCC) treated with antiangiogenic therapies |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-19T02%3A28%3A11IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=DNA%20methylation%20biomarkers%20predict%20progression-free%20and%20overall%20survival%20of%20metastatic%20renal%20cell%20cancer%20(mRCC)%20treated%20with%20antiangiogenic%20therapies&rft.jtitle=PloS%20one&rft.au=Peters,%20Inga&rft.date=2014-03-14&rft.volume=9&rft.issue=3&rft.spage=e91440&rft.epage=e91440&rft.pages=e91440-e91440&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0091440&rft_dat=%3Cgale_plos_%3EA478763069%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1507595535&rft_id=info:pmid/24633192&rft_galeid=A478763069&rft_doaj_id=oai_doaj_org_article_9ca2b35d1cb24fdaa53c4aa1d48f0e4f&rfr_iscdi=true |