author_facet Joyce, Brian T.
Zheng, Yinan
Zhang, Zhou
Liu, Lei
Kocherginsky, Masha
Murphy, Robert
Achenbach, Chad J.
Musa, Jonah
Wehbe, Firas
Just, Allan
Shen, Jincheng
Vokonas, Pantel
Schwartz, Joel
Baccarelli, Andrea A.
Hou, Lifang
Joyce, Brian T.
Zheng, Yinan
Zhang, Zhou
Liu, Lei
Kocherginsky, Masha
Murphy, Robert
Achenbach, Chad J.
Musa, Jonah
Wehbe, Firas
Just, Allan
Shen, Jincheng
Vokonas, Pantel
Schwartz, Joel
Baccarelli, Andrea A.
Hou, Lifang
author Joyce, Brian T.
Zheng, Yinan
Zhang, Zhou
Liu, Lei
Kocherginsky, Masha
Murphy, Robert
Achenbach, Chad J.
Musa, Jonah
Wehbe, Firas
Just, Allan
Shen, Jincheng
Vokonas, Pantel
Schwartz, Joel
Baccarelli, Andrea A.
Hou, Lifang
spellingShingle Joyce, Brian T.
Zheng, Yinan
Zhang, Zhou
Liu, Lei
Kocherginsky, Masha
Murphy, Robert
Achenbach, Chad J.
Musa, Jonah
Wehbe, Firas
Just, Allan
Shen, Jincheng
Vokonas, Pantel
Schwartz, Joel
Baccarelli, Andrea A.
Hou, Lifang
Cancer Epidemiology, Biomarkers & Prevention
miRNA-Processing Gene Methylation and Cancer Risk
Oncology
Epidemiology
author_sort joyce, brian t.
spelling Joyce, Brian T. Zheng, Yinan Zhang, Zhou Liu, Lei Kocherginsky, Masha Murphy, Robert Achenbach, Chad J. Musa, Jonah Wehbe, Firas Just, Allan Shen, Jincheng Vokonas, Pantel Schwartz, Joel Baccarelli, Andrea A. Hou, Lifang 1055-9965 1538-7755 American Association for Cancer Research (AACR) Oncology Epidemiology http://dx.doi.org/10.1158/1055-9965.epi-17-0849 <jats:title>Abstract</jats:title> <jats:p>Background: Dysregulation of miRNA and methylation levels are epigenetic hallmarks of cancer, potentially linked via miRNA-processing genes. Studies have found genetic alterations to miRNA-processing genes in cancer cells and human population studies. Our objective was to prospectively examine changes in DNA methylation of miRNA-processing genes and their associations with cancer risk.</jats:p> <jats:p>Methods: We examined cohort data from the Department of Veterans' Affairs Normative Aging Study. Participants were assessed every 3 to 5 years starting in 1999 through 2013 including questionnaires, medical record review, and blood collection. Blood from 686 consenting participants was analyzed using the Illumina 450K BeadChip array to measure methylation at CpG sites throughout the genome. We selected 19 genes based on a literature review, with 519 corresponding CpG sites. We then used Cox proportional hazards models to examine associations with cancer incidence, and generalized estimating equations to examine associations with cancer prevalence. Associations at false discovery rate &amp;lt; 0.05 were considered statistically significant.</jats:p> <jats:p>Results: Methylation of three CpGs (DROSHA: cg23230564, TNRC6B: cg06751583, and TNRC6B: cg21034183) was prospectively associated with time to cancer development (positively for cg06751583, inversely for cg23230564 and cg21034183), whereas methylation of one CpG site (DROSHA: cg16131300) was positively associated with cancer prevalence.</jats:p> <jats:p>Conclusions: DNA methylation of DROSHA, a key miRNA-processing gene, and TNRC6B may play a role in early carcinogenesis.</jats:p> <jats:p>Impact: Changes in miRNA processing may exert multiple effects on cancer development, including protecting against it via altered global miRNAs, and may be a useful early detection biomarker of cancer. Cancer Epidemiol Biomarkers Prev; 27(5); 550–7. ©2018 AACR.</jats:p> miRNA-Processing Gene Methylation and Cancer Risk Cancer Epidemiology, Biomarkers & Prevention
doi_str_mv 10.1158/1055-9965.epi-17-0849
facet_avail Online
Free
finc_class_facet Medizin
format ElectronicArticle
fullrecord blob:ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTE1OC8xMDU1LTk5NjUuZXBpLTE3LTA4NDk
id ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTE1OC8xMDU1LTk5NjUuZXBpLTE3LTA4NDk
institution DE-Brt1
DE-Zwi2
DE-D161
DE-Gla1
DE-Zi4
DE-15
DE-Pl11
DE-Rs1
DE-105
DE-14
DE-Ch1
DE-L229
DE-D275
DE-Bn3
imprint American Association for Cancer Research (AACR), 2018
imprint_str_mv American Association for Cancer Research (AACR), 2018
issn 1055-9965
1538-7755
issn_str_mv 1055-9965
1538-7755
language English
mega_collection American Association for Cancer Research (AACR) (CrossRef)
match_str joyce2018mirnaprocessinggenemethylationandcancerrisk
publishDateSort 2018
publisher American Association for Cancer Research (AACR)
recordtype ai
record_format ai
series Cancer Epidemiology, Biomarkers & Prevention
source_id 49
title miRNA-Processing Gene Methylation and Cancer Risk
title_unstemmed miRNA-Processing Gene Methylation and Cancer Risk
title_full miRNA-Processing Gene Methylation and Cancer Risk
title_fullStr miRNA-Processing Gene Methylation and Cancer Risk
title_full_unstemmed miRNA-Processing Gene Methylation and Cancer Risk
title_short miRNA-Processing Gene Methylation and Cancer Risk
title_sort mirna-processing gene methylation and cancer risk
topic Oncology
Epidemiology
url http://dx.doi.org/10.1158/1055-9965.epi-17-0849
publishDate 2018
physical 550-557
description <jats:title>Abstract</jats:title> <jats:p>Background: Dysregulation of miRNA and methylation levels are epigenetic hallmarks of cancer, potentially linked via miRNA-processing genes. Studies have found genetic alterations to miRNA-processing genes in cancer cells and human population studies. Our objective was to prospectively examine changes in DNA methylation of miRNA-processing genes and their associations with cancer risk.</jats:p> <jats:p>Methods: We examined cohort data from the Department of Veterans' Affairs Normative Aging Study. Participants were assessed every 3 to 5 years starting in 1999 through 2013 including questionnaires, medical record review, and blood collection. Blood from 686 consenting participants was analyzed using the Illumina 450K BeadChip array to measure methylation at CpG sites throughout the genome. We selected 19 genes based on a literature review, with 519 corresponding CpG sites. We then used Cox proportional hazards models to examine associations with cancer incidence, and generalized estimating equations to examine associations with cancer prevalence. Associations at false discovery rate &amp;lt; 0.05 were considered statistically significant.</jats:p> <jats:p>Results: Methylation of three CpGs (DROSHA: cg23230564, TNRC6B: cg06751583, and TNRC6B: cg21034183) was prospectively associated with time to cancer development (positively for cg06751583, inversely for cg23230564 and cg21034183), whereas methylation of one CpG site (DROSHA: cg16131300) was positively associated with cancer prevalence.</jats:p> <jats:p>Conclusions: DNA methylation of DROSHA, a key miRNA-processing gene, and TNRC6B may play a role in early carcinogenesis.</jats:p> <jats:p>Impact: Changes in miRNA processing may exert multiple effects on cancer development, including protecting against it via altered global miRNAs, and may be a useful early detection biomarker of cancer. Cancer Epidemiol Biomarkers Prev; 27(5); 550–7. ©2018 AACR.</jats:p>
container_issue 5
container_start_page 550
container_title Cancer Epidemiology, Biomarkers & Prevention
container_volume 27
format_de105 Article, E-Article
format_de14 Article, E-Article
format_de15 Article, E-Article
format_de520 Article, E-Article
format_de540 Article, E-Article
format_dech1 Article, E-Article
format_ded117 Article, E-Article
format_degla1 E-Article
format_del152 Buch
format_del189 Article, E-Article
format_dezi4 Article
format_dezwi2 Article, E-Article
format_finc Article, E-Article
format_nrw Article, E-Article
_version_ 1792347067166752778
geogr_code not assigned
last_indexed 2024-03-01T17:49:21.213Z
geogr_code_person not assigned
openURL url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fvufind.svn.sourceforge.net%3Agenerator&rft.title=miRNA-Processing+Gene+Methylation+and+Cancer+Risk&rft.date=2018-05-01&genre=article&issn=1538-7755&volume=27&issue=5&spage=550&epage=557&pages=550-557&jtitle=Cancer+Epidemiology%2C+Biomarkers+%26+Prevention&atitle=miRNA-Processing+Gene+Methylation+and+Cancer+Risk&aulast=Hou&aufirst=Lifang&rft_id=info%3Adoi%2F10.1158%2F1055-9965.epi-17-0849&rft.language%5B0%5D=eng
SOLR
_version_ 1792347067166752778
author Joyce, Brian T., Zheng, Yinan, Zhang, Zhou, Liu, Lei, Kocherginsky, Masha, Murphy, Robert, Achenbach, Chad J., Musa, Jonah, Wehbe, Firas, Just, Allan, Shen, Jincheng, Vokonas, Pantel, Schwartz, Joel, Baccarelli, Andrea A., Hou, Lifang
author_facet Joyce, Brian T., Zheng, Yinan, Zhang, Zhou, Liu, Lei, Kocherginsky, Masha, Murphy, Robert, Achenbach, Chad J., Musa, Jonah, Wehbe, Firas, Just, Allan, Shen, Jincheng, Vokonas, Pantel, Schwartz, Joel, Baccarelli, Andrea A., Hou, Lifang, Joyce, Brian T., Zheng, Yinan, Zhang, Zhou, Liu, Lei, Kocherginsky, Masha, Murphy, Robert, Achenbach, Chad J., Musa, Jonah, Wehbe, Firas, Just, Allan, Shen, Jincheng, Vokonas, Pantel, Schwartz, Joel, Baccarelli, Andrea A., Hou, Lifang
author_sort joyce, brian t.
container_issue 5
container_start_page 550
container_title Cancer Epidemiology, Biomarkers & Prevention
container_volume 27
description <jats:title>Abstract</jats:title> <jats:p>Background: Dysregulation of miRNA and methylation levels are epigenetic hallmarks of cancer, potentially linked via miRNA-processing genes. Studies have found genetic alterations to miRNA-processing genes in cancer cells and human population studies. Our objective was to prospectively examine changes in DNA methylation of miRNA-processing genes and their associations with cancer risk.</jats:p> <jats:p>Methods: We examined cohort data from the Department of Veterans' Affairs Normative Aging Study. Participants were assessed every 3 to 5 years starting in 1999 through 2013 including questionnaires, medical record review, and blood collection. Blood from 686 consenting participants was analyzed using the Illumina 450K BeadChip array to measure methylation at CpG sites throughout the genome. We selected 19 genes based on a literature review, with 519 corresponding CpG sites. We then used Cox proportional hazards models to examine associations with cancer incidence, and generalized estimating equations to examine associations with cancer prevalence. Associations at false discovery rate &amp;lt; 0.05 were considered statistically significant.</jats:p> <jats:p>Results: Methylation of three CpGs (DROSHA: cg23230564, TNRC6B: cg06751583, and TNRC6B: cg21034183) was prospectively associated with time to cancer development (positively for cg06751583, inversely for cg23230564 and cg21034183), whereas methylation of one CpG site (DROSHA: cg16131300) was positively associated with cancer prevalence.</jats:p> <jats:p>Conclusions: DNA methylation of DROSHA, a key miRNA-processing gene, and TNRC6B may play a role in early carcinogenesis.</jats:p> <jats:p>Impact: Changes in miRNA processing may exert multiple effects on cancer development, including protecting against it via altered global miRNAs, and may be a useful early detection biomarker of cancer. Cancer Epidemiol Biomarkers Prev; 27(5); 550–7. ©2018 AACR.</jats:p>
doi_str_mv 10.1158/1055-9965.epi-17-0849
facet_avail Online, Free
finc_class_facet Medizin
format ElectronicArticle
format_de105 Article, E-Article
format_de14 Article, E-Article
format_de15 Article, E-Article
format_de520 Article, E-Article
format_de540 Article, E-Article
format_dech1 Article, E-Article
format_ded117 Article, E-Article
format_degla1 E-Article
format_del152 Buch
format_del189 Article, E-Article
format_dezi4 Article
format_dezwi2 Article, E-Article
format_finc Article, E-Article
format_nrw Article, E-Article
geogr_code not assigned
geogr_code_person not assigned
id ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTE1OC8xMDU1LTk5NjUuZXBpLTE3LTA4NDk
imprint American Association for Cancer Research (AACR), 2018
imprint_str_mv American Association for Cancer Research (AACR), 2018
institution DE-Brt1, DE-Zwi2, DE-D161, DE-Gla1, DE-Zi4, DE-15, DE-Pl11, DE-Rs1, DE-105, DE-14, DE-Ch1, DE-L229, DE-D275, DE-Bn3
issn 1055-9965, 1538-7755
issn_str_mv 1055-9965, 1538-7755
language English
last_indexed 2024-03-01T17:49:21.213Z
match_str joyce2018mirnaprocessinggenemethylationandcancerrisk
mega_collection American Association for Cancer Research (AACR) (CrossRef)
physical 550-557
publishDate 2018
publishDateSort 2018
publisher American Association for Cancer Research (AACR)
record_format ai
recordtype ai
series Cancer Epidemiology, Biomarkers & Prevention
source_id 49
spelling Joyce, Brian T. Zheng, Yinan Zhang, Zhou Liu, Lei Kocherginsky, Masha Murphy, Robert Achenbach, Chad J. Musa, Jonah Wehbe, Firas Just, Allan Shen, Jincheng Vokonas, Pantel Schwartz, Joel Baccarelli, Andrea A. Hou, Lifang 1055-9965 1538-7755 American Association for Cancer Research (AACR) Oncology Epidemiology http://dx.doi.org/10.1158/1055-9965.epi-17-0849 <jats:title>Abstract</jats:title> <jats:p>Background: Dysregulation of miRNA and methylation levels are epigenetic hallmarks of cancer, potentially linked via miRNA-processing genes. Studies have found genetic alterations to miRNA-processing genes in cancer cells and human population studies. Our objective was to prospectively examine changes in DNA methylation of miRNA-processing genes and their associations with cancer risk.</jats:p> <jats:p>Methods: We examined cohort data from the Department of Veterans' Affairs Normative Aging Study. Participants were assessed every 3 to 5 years starting in 1999 through 2013 including questionnaires, medical record review, and blood collection. Blood from 686 consenting participants was analyzed using the Illumina 450K BeadChip array to measure methylation at CpG sites throughout the genome. We selected 19 genes based on a literature review, with 519 corresponding CpG sites. We then used Cox proportional hazards models to examine associations with cancer incidence, and generalized estimating equations to examine associations with cancer prevalence. Associations at false discovery rate &amp;lt; 0.05 were considered statistically significant.</jats:p> <jats:p>Results: Methylation of three CpGs (DROSHA: cg23230564, TNRC6B: cg06751583, and TNRC6B: cg21034183) was prospectively associated with time to cancer development (positively for cg06751583, inversely for cg23230564 and cg21034183), whereas methylation of one CpG site (DROSHA: cg16131300) was positively associated with cancer prevalence.</jats:p> <jats:p>Conclusions: DNA methylation of DROSHA, a key miRNA-processing gene, and TNRC6B may play a role in early carcinogenesis.</jats:p> <jats:p>Impact: Changes in miRNA processing may exert multiple effects on cancer development, including protecting against it via altered global miRNAs, and may be a useful early detection biomarker of cancer. Cancer Epidemiol Biomarkers Prev; 27(5); 550–7. ©2018 AACR.</jats:p> miRNA-Processing Gene Methylation and Cancer Risk Cancer Epidemiology, Biomarkers & Prevention
spellingShingle Joyce, Brian T., Zheng, Yinan, Zhang, Zhou, Liu, Lei, Kocherginsky, Masha, Murphy, Robert, Achenbach, Chad J., Musa, Jonah, Wehbe, Firas, Just, Allan, Shen, Jincheng, Vokonas, Pantel, Schwartz, Joel, Baccarelli, Andrea A., Hou, Lifang, Cancer Epidemiology, Biomarkers & Prevention, miRNA-Processing Gene Methylation and Cancer Risk, Oncology, Epidemiology
title miRNA-Processing Gene Methylation and Cancer Risk
title_full miRNA-Processing Gene Methylation and Cancer Risk
title_fullStr miRNA-Processing Gene Methylation and Cancer Risk
title_full_unstemmed miRNA-Processing Gene Methylation and Cancer Risk
title_short miRNA-Processing Gene Methylation and Cancer Risk
title_sort mirna-processing gene methylation and cancer risk
title_unstemmed miRNA-Processing Gene Methylation and Cancer Risk
topic Oncology, Epidemiology
url http://dx.doi.org/10.1158/1055-9965.epi-17-0849