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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Veröffentlicht in:PloS one 2014-03, Vol.9 (3), p.e91440-e91440
Hauptverfasser: Peters, Inga, Dubrowinskaja, Natalia, Abbas, Mahmoud, Seidel, Christoph, Kogosov, Michael, Scherer, Ralph, Gebauer, Kai, Merseburger, Axel S, Kuczyk, Markus A, Grünwald, Viktor, Serth, Jürgen
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container_title PloS one
container_volume 9
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.
doi_str_mv 10.1371/journal.pone.0091440
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Zhengdong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>DNA methylation biomarkers predict 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. 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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
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