Genome-Wide Measures of Peripheral Blood Dna Methylation and Prostate Cancer Risk in a Prospective Nested Case-Control Study.
Identifieur interne : 000D94 ( PubMed/Corpus ); précédent : 000D93; suivant : 000D95Genome-Wide Measures of Peripheral Blood Dna Methylation and Prostate Cancer Risk in a Prospective Nested Case-Control Study.
Auteurs : Liesel M. Fitzgerald ; Haroon Naeem ; Enes Makalic ; Daniel F. Schmidt ; James G. Dowty ; Jihoon E. Joo ; Chol-Hee Jung ; Julie K. Bassett ; Pierre-Antoine Dugue ; Jessica Chung ; Andrew Lonie ; Roger L. Milne ; Ee Ming Wong ; John L. Hopper ; Dallas R. English ; Gianluca Severi ; Laura Baglietto ; John Pedersen ; Graham G. Giles ; Melissa C. SoutheySource :
- The Prostate [ 1097-0045 ] ; 2017.
English descriptors
- KwdEn :
- Adult, Aged, Case-Control Studies, Cohort Studies, CpG Islands (physiology), DNA Methylation (physiology), Genome-Wide Association Study (methods), Humans, Male, Middle Aged, Prospective Studies, Prostatic Neoplasms (blood), Prostatic Neoplasms (diagnosis), Prostatic Neoplasms (genetics), Risk Factors.
- MESH :
- blood : Prostatic Neoplasms.
- diagnosis : Prostatic Neoplasms.
- genetics : Prostatic Neoplasms.
- methods : Genome-Wide Association Study.
- physiology : CpG Islands, DNA Methylation.
- Adult, Aged, Case-Control Studies, Cohort Studies, Humans, Male, Middle Aged, Prospective Studies, Risk Factors.
Abstract
Global measures of peripheral blood DNA methylation have been associated with risk of some malignancies, including breast, bladder, and gastric cancer. Here, we examined genome-wide measures of peripheral blood DNA methylation in prostate cancer and its non-aggressive and aggressive disease forms.
DOI: 10.1002/pros.23289
PubMed: 28116812
Links to Exploration step
pubmed:28116812Le document en format XML
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<sourceDesc><biblStruct><analytic><title xml:lang="en">Genome-Wide Measures of Peripheral Blood Dna Methylation and Prostate Cancer Risk in a Prospective Nested Case-Control Study.</title>
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<author><name sortKey="Chung, Jessica" sort="Chung, Jessica" uniqKey="Chung J" first="Jessica" last="Chung">Jessica Chung</name>
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<series><title level="j">The Prostate</title>
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<term>Case-Control Studies</term>
<term>Cohort Studies</term>
<term>CpG Islands (physiology)</term>
<term>DNA Methylation (physiology)</term>
<term>Genome-Wide Association Study (methods)</term>
<term>Humans</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Prospective Studies</term>
<term>Prostatic Neoplasms (blood)</term>
<term>Prostatic Neoplasms (diagnosis)</term>
<term>Prostatic Neoplasms (genetics)</term>
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<front><div type="abstract" xml:lang="en">Global measures of peripheral blood DNA methylation have been associated with risk of some malignancies, including breast, bladder, and gastric cancer. Here, we examined genome-wide measures of peripheral blood DNA methylation in prostate cancer and its non-aggressive and aggressive disease forms.</div>
</front>
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<pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">28116812</PMID>
<DateCreated><Year>2017</Year>
<Month>01</Month>
<Day>24</Day>
</DateCreated>
<DateCompleted><Year>2017</Year>
<Month>08</Month>
<Day>09</Day>
</DateCompleted>
<DateRevised><Year>2017</Year>
<Month>08</Month>
<Day>09</Day>
</DateRevised>
<Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1097-0045</ISSN>
<JournalIssue CitedMedium="Internet"><Volume>77</Volume>
<Issue>5</Issue>
<PubDate><Year>2017</Year>
<Month>Apr</Month>
</PubDate>
</JournalIssue>
<Title>The Prostate</Title>
<ISOAbbreviation>Prostate</ISOAbbreviation>
</Journal>
<ArticleTitle>Genome-Wide Measures of Peripheral Blood Dna Methylation and Prostate Cancer Risk in a Prospective Nested Case-Control Study.</ArticleTitle>
<Pagination><MedlinePgn>471-478</MedlinePgn>
</Pagination>
<ELocationID EIdType="doi" ValidYN="Y">10.1002/pros.23289</ELocationID>
<Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">Global measures of peripheral blood DNA methylation have been associated with risk of some malignancies, including breast, bladder, and gastric cancer. Here, we examined genome-wide measures of peripheral blood DNA methylation in prostate cancer and its non-aggressive and aggressive disease forms.</AbstractText>
<AbstractText Label="METHODS" NlmCategory="METHODS">We used a matched, case-control study of 687 incident prostate cancer samples, nested within a larger prospective cohort study. DNA methylation was measured in pre-diagnostic, peripheral blood samples using the Illumina Infinium HM450K BeadChip. Genome-wide measures of DNA methylation were computed as the median M-value of all CpG sites and according to CpG site location and regulatory function. We used conditional logistic regression to test for associations between genome-wide measures of DNA methylation and risk of prostate cancer and its subtypes, and by time between blood draw and diagnosis.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">We observed no associations between the genome-wide measure of DNA methylation based on all CpG sites and risk of prostate cancer or aggressive disease. Risk of non-aggressive disease was associated with higher methylation of CpG islands (OR = 0.80; 95%CI = 0.68-0.94), promoter regions (OR = 0.79; 95%CI = 0.66-0.93), and high density CpG regions (OR = 0.80; 95%CI = 0.68-0.94). Additionally, higher methylation of all CpGs (OR = 0.66; 95%CI = 0.48-0.89), CpG shores (OR = 0.62; 95%CI = 0.45-0.84), and regulatory regions (OR = 0.68; 95% CI = 0.51-0.91) was associated with a reduced risk of overall prostate cancer within 5 years of blood draw but not thereafter.</AbstractText>
<AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">A reduced risk of overall prostate cancer within 5 years of blood draw and non-aggressive prostate cancer was associated with higher genome-wide methylation of peripheral blood DNA. While these data have no immediate clinical utility, with further work they may provide insight into the early events of prostate carcinogenesis. Prostate 77:471-478, 2017. © 2017 Wiley Periodicals, Inc.</AbstractText>
<CopyrightInformation>© 2017 Wiley Periodicals, Inc.</CopyrightInformation>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>FitzGerald</LastName>
<ForeName>Liesel M</ForeName>
<Initials>LM</Initials>
<AffiliationInfo><Affiliation>Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, VIC, Australia.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Cancer, Genetics, and Immunology, Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Naeem</LastName>
<ForeName>Haroon</ForeName>
<Initials>H</Initials>
<AffiliationInfo><Affiliation>Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, VIC, Australia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Makalic</LastName>
<ForeName>Enes</ForeName>
<Initials>E</Initials>
<AffiliationInfo><Affiliation>Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, VIC, Australia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Schmidt</LastName>
<ForeName>Daniel F</ForeName>
<Initials>DF</Initials>
<AffiliationInfo><Affiliation>Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, VIC, Australia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Dowty</LastName>
<ForeName>James G</ForeName>
<Initials>JG</Initials>
<AffiliationInfo><Affiliation>Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, VIC, Australia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Joo</LastName>
<ForeName>Jihoon E</ForeName>
<Initials>JE</Initials>
<AffiliationInfo><Affiliation>Genetic Epidemiology Laboratory, Department of Pathology, University of Melbourne, Parkville, VIC, Australia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Jung</LastName>
<ForeName>Chol-Hee</ForeName>
<Initials>CH</Initials>
<AffiliationInfo><Affiliation>VLSCI Life Sciences Computation Centre, University of Melbourne, Carlton, VIC, Australia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Bassett</LastName>
<ForeName>Julie K</ForeName>
<Initials>JK</Initials>
<AffiliationInfo><Affiliation>Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, VIC, Australia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Dugue</LastName>
<ForeName>Pierre-Antoine</ForeName>
<Initials>PA</Initials>
<AffiliationInfo><Affiliation>Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, VIC, Australia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Chung</LastName>
<ForeName>Jessica</ForeName>
<Initials>J</Initials>
<AffiliationInfo><Affiliation>VLSCI Life Sciences Computation Centre, University of Melbourne, Carlton, VIC, Australia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Lonie</LastName>
<ForeName>Andrew</ForeName>
<Initials>A</Initials>
<AffiliationInfo><Affiliation>VLSCI Life Sciences Computation Centre, University of Melbourne, Carlton, VIC, Australia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Milne</LastName>
<ForeName>Roger L</ForeName>
<Initials>RL</Initials>
<AffiliationInfo><Affiliation>Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, VIC, Australia.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, VIC, Australia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Wong</LastName>
<ForeName>Ee Ming</ForeName>
<Initials>EM</Initials>
<AffiliationInfo><Affiliation>Genetic Epidemiology Laboratory, Department of Pathology, University of Melbourne, Parkville, VIC, Australia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Hopper</LastName>
<ForeName>John L</ForeName>
<Initials>JL</Initials>
<AffiliationInfo><Affiliation>Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, VIC, Australia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>English</LastName>
<ForeName>Dallas R</ForeName>
<Initials>DR</Initials>
<AffiliationInfo><Affiliation>Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, VIC, Australia.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, VIC, Australia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Severi</LastName>
<ForeName>Gianluca</ForeName>
<Initials>G</Initials>
<AffiliationInfo><Affiliation>Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, VIC, Australia.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Université Paris-Saclay, University of Paris-Sud, UVSQ, CESP, INSERM, Villejuif, France.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Gustave Roussy, F-94805, Villejuif, France.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>HuGeF, Human Genetics Foundation, Torino, Italy.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Baglietto</LastName>
<ForeName>Laura</ForeName>
<Initials>L</Initials>
<AffiliationInfo><Affiliation>Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, VIC, Australia.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Université Paris-Saclay, University of Paris-Sud, UVSQ, CESP, INSERM, Villejuif, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Pedersen</LastName>
<ForeName>John</ForeName>
<Initials>J</Initials>
<AffiliationInfo><Affiliation>TissuPath, Mount Waverley, Melbourne, VIC, Australia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Giles</LastName>
<ForeName>Graham G</ForeName>
<Initials>GG</Initials>
<AffiliationInfo><Affiliation>Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, VIC, Australia.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, VIC, Australia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Southey</LastName>
<ForeName>Melissa C</ForeName>
<Initials>MC</Initials>
<AffiliationInfo><Affiliation>Genetic Epidemiology Laboratory, Department of Pathology, University of Melbourne, Parkville, VIC, Australia.</Affiliation>
</AffiliationInfo>
</Author>
</AuthorList>
<Language>eng</Language>
<PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType>
</PublicationTypeList>
<ArticleDate DateType="Electronic"><Year>2017</Year>
<Month>01</Month>
<Day>24</Day>
</ArticleDate>
</Article>
<MedlineJournalInfo><Country>United States</Country>
<MedlineTA>Prostate</MedlineTA>
<NlmUniqueID>8101368</NlmUniqueID>
<ISSNLinking>0270-4137</ISSNLinking>
</MedlineJournalInfo>
<CitationSubset>IM</CitationSubset>
<MeshHeadingList><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D016022" MajorTopicYN="N">Case-Control Studies</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D015331" MajorTopicYN="N">Cohort Studies</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D018899" MajorTopicYN="N">CpG Islands</DescriptorName>
<QualifierName UI="Q000502" MajorTopicYN="Y">physiology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D019175" MajorTopicYN="N">DNA Methylation</DescriptorName>
<QualifierName UI="Q000502" MajorTopicYN="Y">physiology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D055106" MajorTopicYN="N">Genome-Wide Association Study</DescriptorName>
<QualifierName UI="Q000379" MajorTopicYN="Y">methods</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D011446" MajorTopicYN="N">Prospective Studies</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D011471" MajorTopicYN="N">Prostatic Neoplasms</DescriptorName>
<QualifierName UI="Q000097" MajorTopicYN="Y">blood</QualifierName>
<QualifierName UI="Q000175" MajorTopicYN="N">diagnosis</QualifierName>
<QualifierName UI="Q000235" MajorTopicYN="Y">genetics</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D012307" MajorTopicYN="N">Risk Factors</DescriptorName>
</MeshHeading>
</MeshHeadingList>
<KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">DNA methylation</Keyword>
<Keyword MajorTopicYN="N">HM450K array</Keyword>
<Keyword MajorTopicYN="N">biomarker</Keyword>
<Keyword MajorTopicYN="N">peripheral blood</Keyword>
<Keyword MajorTopicYN="N">prostate cancer</Keyword>
</KeywordList>
</MedlineCitation>
<PubmedData><History><PubMedPubDate PubStatus="received"><Year>2016</Year>
<Month>08</Month>
<Day>30</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="accepted"><Year>2016</Year>
<Month>11</Month>
<Day>11</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="pubmed"><Year>2017</Year>
<Month>1</Month>
<Day>25</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="medline"><Year>2017</Year>
<Month>8</Month>
<Day>10</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="entrez"><Year>2017</Year>
<Month>1</Month>
<Day>25</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
</History>
<PublicationStatus>ppublish</PublicationStatus>
<ArticleIdList><ArticleId IdType="pubmed">28116812</ArticleId>
<ArticleId IdType="doi">10.1002/pros.23289</ArticleId>
</ArticleIdList>
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