Polymorphisms in histone deacetylases improve the predictive value of IL-28B for chronic hepatitis C therapy

Histone deacetylases (HDACs) influence many cellular processes, including the modulation of signal transducer and activator of transcription activity (STAT) in response to interferon (IFN). To identify genetic markers that help optimize the IL-28B prediction of chronic hepatitis C (CHC) sustained vi...

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Veröffentlicht in:Genes and immunity 2013-07, Vol.14 (5), p.317-324
Hauptverfasser: López-Rodríguez, R, Hernández-Bartolomé, Á, Borque, M J, Rodríguez-Muñoz, Y, Martín-Vílchez, S, Trapero-Marugán, M, García-Buey, L, Muñoz de Rueda, P, Rodrigo, L, Vidal-Castiñeira, J R, Salmerón, J, Moreno-Otero, R, Sanz-Cameno, P
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container_issue 5
container_start_page 317
container_title Genes and immunity
container_volume 14
creator López-Rodríguez, R
Hernández-Bartolomé, Á
Borque, M J
Rodríguez-Muñoz, Y
Martín-Vílchez, S
Trapero-Marugán, M
García-Buey, L
Muñoz de Rueda, P
Rodrigo, L
Vidal-Castiñeira, J R
Salmerón, J
Moreno-Otero, R
Sanz-Cameno, P
description Histone deacetylases (HDACs) influence many cellular processes, including the modulation of signal transducer and activator of transcription activity (STAT) in response to interferon (IFN). To identify genetic markers that help optimize the IL-28B prediction of chronic hepatitis C (CHC) sustained virological response (SVR), we evaluated 27 single-nucleotide polymorphisms (SNPs) in HDAC1–11 . Three SNPs, rs3778216, rs976552 and rs368328 in HDAC2 , HDAC3 and HDAC5 , respectively, were independently associated with SVR ( P
doi_str_mv 10.1038/gene.2013.24
format Article
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To identify genetic markers that help optimize the IL-28B prediction of chronic hepatitis C (CHC) sustained virological response (SVR), we evaluated 27 single-nucleotide polymorphisms (SNPs) in HDAC1–11 . Three SNPs, rs3778216, rs976552 and rs368328 in HDAC2 , HDAC3 and HDAC5 , respectively, were independently associated with SVR ( P &lt;0.05). The addition of these three HDAC’s SNPs to the IL-28B predictive model (area under the curve (AUC)=0.630) rendered an important improvement of AUC-receiver operating characteristic value (AUC=0.747, P =0.021). Chi-squared Automatic Interaction Detector (CHAID) analysis denoted the significance of the rs3778216 C/C genotype in identifying a group of good responders despite carrying IL-28B T allele (79.2% of SVR), whereas HDAC5 G allele characterized a subgroup with poor response rate (25.5%). However, HDAC3 rs976552 did not display a relevant role for the hierarchical classification of patients. Variables related to SVR in hepatitis C virus genotype 1 (HCV-1) cohort were the same of those obtained for the overall population. Interestingly, in non-HCV-1 patients ( n =56) the HDAC2 C/C genotype was the unique predictive variable related to SVR (AUC=0.733, P &lt;0.007). Thus, these preliminary results suggest the potential usefulness of combined IL-28B and HDAC genotyping for the CHC patients’ classification by likelihood of an SVR.</description><identifier>ISSN: 1466-4879</identifier><identifier>EISSN: 1476-5470</identifier><identifier>DOI: 10.1038/gene.2013.24</identifier><identifier>PMID: 23615070</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>631/208/248 ; 631/208/721 ; 631/250/255/234/2513/1551 ; 631/326/596/2553 ; Adult ; Aged ; Alleles ; Antiviral Agents - therapeutic use ; Biomedical and Life Sciences ; Biomedicine ; Cancer Research ; Drug Therapy, Combination ; Female ; Gastroenterology ; Gene Expression ; Gene Frequency ; Genes ; Genetic aspects ; Genetic markers ; Genetic polymorphisms ; Genotype ; Genotype &amp; phenotype ; Genotyping ; HDAC2 protein ; Hepacivirus - drug effects ; Hepacivirus - genetics ; Hepatitis C ; Hepatitis C virus ; Hepatitis C, Chronic - drug therapy ; Hepatitis C, Chronic - genetics ; Hepatitis C, Chronic - virology ; Histone deacetylase ; Histone Deacetylases - genetics ; Histones ; Human Genetics ; Humans ; Immune response ; Immunology ; Interferon ; Interferon-alpha - chemistry ; Interferon-alpha - therapeutic use ; Interferons ; Interleukins ; Interleukins - genetics ; Isoenzymes - genetics ; Liver cancer ; Logistic Models ; Male ; Middle Aged ; Multivariate Analysis ; original-article ; Patient outcomes ; Physiological aspects ; Polyethylene Glycols - chemistry ; Polymorphism, Single Nucleotide ; Prediction models ; Prognosis ; Ribavirin - therapeutic use ; Single-nucleotide polymorphism ; Transcription ; Treatment Outcome ; Viral Load - drug effects ; Viral Load - genetics ; Young Adult</subject><ispartof>Genes and immunity, 2013-07, Vol.14 (5), p.317-324</ispartof><rights>Macmillan Publishers Limited 2013</rights><rights>COPYRIGHT 2013 Nature Publishing Group</rights><rights>Copyright Nature Publishing Group Jul 2013</rights><rights>Macmillan Publishers Limited 2013.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c623t-42af0a02523864a0f74ce8f0010a8288d0f8a630b62ac398c93b3d30987f1bf83</citedby><cites>FETCH-LOGICAL-c623t-42af0a02523864a0f74ce8f0010a8288d0f8a630b62ac398c93b3d30987f1bf83</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,781,785,27929,27930</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23615070$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>López-Rodríguez, R</creatorcontrib><creatorcontrib>Hernández-Bartolomé, Á</creatorcontrib><creatorcontrib>Borque, M J</creatorcontrib><creatorcontrib>Rodríguez-Muñoz, Y</creatorcontrib><creatorcontrib>Martín-Vílchez, S</creatorcontrib><creatorcontrib>Trapero-Marugán, M</creatorcontrib><creatorcontrib>García-Buey, L</creatorcontrib><creatorcontrib>Muñoz de Rueda, P</creatorcontrib><creatorcontrib>Rodrigo, L</creatorcontrib><creatorcontrib>Vidal-Castiñeira, J R</creatorcontrib><creatorcontrib>Salmerón, J</creatorcontrib><creatorcontrib>Moreno-Otero, R</creatorcontrib><creatorcontrib>Sanz-Cameno, P</creatorcontrib><title>Polymorphisms in histone deacetylases improve the predictive value of IL-28B for chronic hepatitis C therapy</title><title>Genes and immunity</title><addtitle>Genes Immun</addtitle><addtitle>Genes Immun</addtitle><description>Histone deacetylases (HDACs) influence many cellular processes, including the modulation of signal transducer and activator of transcription activity (STAT) in response to interferon (IFN). To identify genetic markers that help optimize the IL-28B prediction of chronic hepatitis C (CHC) sustained virological response (SVR), we evaluated 27 single-nucleotide polymorphisms (SNPs) in HDAC1–11 . Three SNPs, rs3778216, rs976552 and rs368328 in HDAC2 , HDAC3 and HDAC5 , respectively, were independently associated with SVR ( P &lt;0.05). The addition of these three HDAC’s SNPs to the IL-28B predictive model (area under the curve (AUC)=0.630) rendered an important improvement of AUC-receiver operating characteristic value (AUC=0.747, P =0.021). Chi-squared Automatic Interaction Detector (CHAID) analysis denoted the significance of the rs3778216 C/C genotype in identifying a group of good responders despite carrying IL-28B T allele (79.2% of SVR), whereas HDAC5 G allele characterized a subgroup with poor response rate (25.5%). However, HDAC3 rs976552 did not display a relevant role for the hierarchical classification of patients. Variables related to SVR in hepatitis C virus genotype 1 (HCV-1) cohort were the same of those obtained for the overall population. Interestingly, in non-HCV-1 patients ( n =56) the HDAC2 C/C genotype was the unique predictive variable related to SVR (AUC=0.733, P &lt;0.007). Thus, these preliminary results suggest the potential usefulness of combined IL-28B and HDAC genotyping for the CHC patients’ classification by likelihood of an SVR.</description><subject>631/208/248</subject><subject>631/208/721</subject><subject>631/250/255/234/2513/1551</subject><subject>631/326/596/2553</subject><subject>Adult</subject><subject>Aged</subject><subject>Alleles</subject><subject>Antiviral Agents - therapeutic use</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedicine</subject><subject>Cancer Research</subject><subject>Drug Therapy, Combination</subject><subject>Female</subject><subject>Gastroenterology</subject><subject>Gene Expression</subject><subject>Gene Frequency</subject><subject>Genes</subject><subject>Genetic aspects</subject><subject>Genetic markers</subject><subject>Genetic polymorphisms</subject><subject>Genotype</subject><subject>Genotype &amp; phenotype</subject><subject>Genotyping</subject><subject>HDAC2 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Analysis</subject><subject>original-article</subject><subject>Patient outcomes</subject><subject>Physiological aspects</subject><subject>Polyethylene Glycols - chemistry</subject><subject>Polymorphism, Single Nucleotide</subject><subject>Prediction models</subject><subject>Prognosis</subject><subject>Ribavirin - therapeutic use</subject><subject>Single-nucleotide polymorphism</subject><subject>Transcription</subject><subject>Treatment Outcome</subject><subject>Viral Load - drug effects</subject><subject>Viral Load - genetics</subject><subject>Young 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in histone deacetylases improve the predictive value of IL-28B for chronic hepatitis C therapy</title><author>López-Rodríguez, R ; Hernández-Bartolomé, Á ; Borque, M J ; Rodríguez-Muñoz, Y ; Martín-Vílchez, S ; Trapero-Marugán, M ; García-Buey, L ; Muñoz de Rueda, P ; Rodrigo, L ; Vidal-Castiñeira, J R ; Salmerón, J ; Moreno-Otero, R ; Sanz-Cameno, P</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c623t-42af0a02523864a0f74ce8f0010a8288d0f8a630b62ac398c93b3d30987f1bf83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>631/208/248</topic><topic>631/208/721</topic><topic>631/250/255/234/2513/1551</topic><topic>631/326/596/2553</topic><topic>Adult</topic><topic>Aged</topic><topic>Alleles</topic><topic>Antiviral Agents - therapeutic use</topic><topic>Biomedical and Life Sciences</topic><topic>Biomedicine</topic><topic>Cancer Research</topic><topic>Drug Therapy, 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Immun</addtitle><date>2013-07-01</date><risdate>2013</risdate><volume>14</volume><issue>5</issue><spage>317</spage><epage>324</epage><pages>317-324</pages><issn>1466-4879</issn><eissn>1476-5470</eissn><abstract>Histone deacetylases (HDACs) influence many cellular processes, including the modulation of signal transducer and activator of transcription activity (STAT) in response to interferon (IFN). To identify genetic markers that help optimize the IL-28B prediction of chronic hepatitis C (CHC) sustained virological response (SVR), we evaluated 27 single-nucleotide polymorphisms (SNPs) in HDAC1–11 . Three SNPs, rs3778216, rs976552 and rs368328 in HDAC2 , HDAC3 and HDAC5 , respectively, were independently associated with SVR ( P &lt;0.05). The addition of these three HDAC’s SNPs to the IL-28B predictive model (area under the curve (AUC)=0.630) rendered an important improvement of AUC-receiver operating characteristic value (AUC=0.747, P =0.021). Chi-squared Automatic Interaction Detector (CHAID) analysis denoted the significance of the rs3778216 C/C genotype in identifying a group of good responders despite carrying IL-28B T allele (79.2% of SVR), whereas HDAC5 G allele characterized a subgroup with poor response rate (25.5%). However, HDAC3 rs976552 did not display a relevant role for the hierarchical classification of patients. Variables related to SVR in hepatitis C virus genotype 1 (HCV-1) cohort were the same of those obtained for the overall population. Interestingly, in non-HCV-1 patients ( n =56) the HDAC2 C/C genotype was the unique predictive variable related to SVR (AUC=0.733, P &lt;0.007). Thus, these preliminary results suggest the potential usefulness of combined IL-28B and HDAC genotyping for the CHC patients’ classification by likelihood of an SVR.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>23615070</pmid><doi>10.1038/gene.2013.24</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record>
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subjects 631/208/248
631/208/721
631/250/255/234/2513/1551
631/326/596/2553
Adult
Aged
Alleles
Antiviral Agents - therapeutic use
Biomedical and Life Sciences
Biomedicine
Cancer Research
Drug Therapy, Combination
Female
Gastroenterology
Gene Expression
Gene Frequency
Genes
Genetic aspects
Genetic markers
Genetic polymorphisms
Genotype
Genotype & phenotype
Genotyping
HDAC2 protein
Hepacivirus - drug effects
Hepacivirus - genetics
Hepatitis C
Hepatitis C virus
Hepatitis C, Chronic - drug therapy
Hepatitis C, Chronic - genetics
Hepatitis C, Chronic - virology
Histone deacetylase
Histone Deacetylases - genetics
Histones
Human Genetics
Humans
Immune response
Immunology
Interferon
Interferon-alpha - chemistry
Interferon-alpha - therapeutic use
Interferons
Interleukins
Interleukins - genetics
Isoenzymes - genetics
Liver cancer
Logistic Models
Male
Middle Aged
Multivariate Analysis
original-article
Patient outcomes
Physiological aspects
Polyethylene Glycols - chemistry
Polymorphism, Single Nucleotide
Prediction models
Prognosis
Ribavirin - therapeutic use
Single-nucleotide polymorphism
Transcription
Treatment Outcome
Viral Load - drug effects
Viral Load - genetics
Young Adult
title Polymorphisms in histone deacetylases improve the predictive value of IL-28B for chronic hepatitis C therapy
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