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Prospective changes in global DNA methylation and cancer incidence and mortality

BACKGROUND: Methylation of repetitive elements Alu and LINE-1 in humans is considered a surrogate for global DNA methylation. Previous studies of blood-measured Alu/LINE-1 and cancer risk are inconsistent. METHODS: We studied 1259 prospective methylation measurements from blood drawn 1–4 times from...

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Autores principales: Joyce, Brian T, Gao, Tao, Zheng, Yinan, Liu, Lei, Zhang, Wei, Dai, Qi, Shrubsole, Martha J, Hibler, Elizabeth A, Cristofanilli, Massimo, Zhang, Hu, Yang, Hushan, Vokonas, Pantel, Cantone, Laura, Schwartz, Joel, Baccarelli, Andrea, Hou, Lifang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4985350/
https://www.ncbi.nlm.nih.gov/pubmed/27351216
http://dx.doi.org/10.1038/bjc.2016.205
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author Joyce, Brian T
Gao, Tao
Zheng, Yinan
Liu, Lei
Zhang, Wei
Dai, Qi
Shrubsole, Martha J
Hibler, Elizabeth A
Cristofanilli, Massimo
Zhang, Hu
Yang, Hushan
Vokonas, Pantel
Cantone, Laura
Schwartz, Joel
Baccarelli, Andrea
Hou, Lifang
author_facet Joyce, Brian T
Gao, Tao
Zheng, Yinan
Liu, Lei
Zhang, Wei
Dai, Qi
Shrubsole, Martha J
Hibler, Elizabeth A
Cristofanilli, Massimo
Zhang, Hu
Yang, Hushan
Vokonas, Pantel
Cantone, Laura
Schwartz, Joel
Baccarelli, Andrea
Hou, Lifang
author_sort Joyce, Brian T
collection PubMed
description BACKGROUND: Methylation of repetitive elements Alu and LINE-1 in humans is considered a surrogate for global DNA methylation. Previous studies of blood-measured Alu/LINE-1 and cancer risk are inconsistent. METHODS: We studied 1259 prospective methylation measurements from blood drawn 1–4 times from 583 participants from 1999 to 2012. We used Cox regression to evaluate time-dependent methylation as a biomarker for cancer risk and mortality, and linear regression to compare mean differences in methylation over time by cancer status and analyse associations between rate of methylation change and cancer. RESULTS: Time-dependent LINE-1 methylation was associated with prostate cancer incidence (HR: 1.38, 95% CI: 1.01–1.88) and all-cancer mortality (HR: 1.41, 95% CI: 1.03–1.92). The first measurement of Alu methylation (HR: 1.39, 95% CI: 1.08–1.79) was associated with all-cancer mortality. Participants who ultimately developed cancer had lower mean LINE-1 methylation than cancer-free participants 10+ years pre-diagnosis (P<0.01). Rate of Alu methylation change was associated with all-cancer incidence (HR: 3.62, 95% CI: 1.09–12.10). CONCLUSIONS: Our results add longitudinal data on blood Alu and LINE-1 methylation and cancer, and potentially contribute to their use as early-detection biomarkers. Future larger studies are needed and should account for the interval between blood sample collection and cancer diagnosis.
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spelling pubmed-49853502017-08-09 Prospective changes in global DNA methylation and cancer incidence and mortality Joyce, Brian T Gao, Tao Zheng, Yinan Liu, Lei Zhang, Wei Dai, Qi Shrubsole, Martha J Hibler, Elizabeth A Cristofanilli, Massimo Zhang, Hu Yang, Hushan Vokonas, Pantel Cantone, Laura Schwartz, Joel Baccarelli, Andrea Hou, Lifang Br J Cancer Molecular Diagnostics BACKGROUND: Methylation of repetitive elements Alu and LINE-1 in humans is considered a surrogate for global DNA methylation. Previous studies of blood-measured Alu/LINE-1 and cancer risk are inconsistent. METHODS: We studied 1259 prospective methylation measurements from blood drawn 1–4 times from 583 participants from 1999 to 2012. We used Cox regression to evaluate time-dependent methylation as a biomarker for cancer risk and mortality, and linear regression to compare mean differences in methylation over time by cancer status and analyse associations between rate of methylation change and cancer. RESULTS: Time-dependent LINE-1 methylation was associated with prostate cancer incidence (HR: 1.38, 95% CI: 1.01–1.88) and all-cancer mortality (HR: 1.41, 95% CI: 1.03–1.92). The first measurement of Alu methylation (HR: 1.39, 95% CI: 1.08–1.79) was associated with all-cancer mortality. Participants who ultimately developed cancer had lower mean LINE-1 methylation than cancer-free participants 10+ years pre-diagnosis (P<0.01). Rate of Alu methylation change was associated with all-cancer incidence (HR: 3.62, 95% CI: 1.09–12.10). CONCLUSIONS: Our results add longitudinal data on blood Alu and LINE-1 methylation and cancer, and potentially contribute to their use as early-detection biomarkers. Future larger studies are needed and should account for the interval between blood sample collection and cancer diagnosis. Nature Publishing Group 2016-08-09 2016-06-28 /pmc/articles/PMC4985350/ /pubmed/27351216 http://dx.doi.org/10.1038/bjc.2016.205 Text en Copyright © 2016 Cancer Research UK http://creativecommons.org/licenses/by-nc-sa/4.0/ From twelve months after its original publication, this work is licensed under the Creative Commons Attribution-NonCommercial-Share Alike 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/
spellingShingle Molecular Diagnostics
Joyce, Brian T
Gao, Tao
Zheng, Yinan
Liu, Lei
Zhang, Wei
Dai, Qi
Shrubsole, Martha J
Hibler, Elizabeth A
Cristofanilli, Massimo
Zhang, Hu
Yang, Hushan
Vokonas, Pantel
Cantone, Laura
Schwartz, Joel
Baccarelli, Andrea
Hou, Lifang
Prospective changes in global DNA methylation and cancer incidence and mortality
title Prospective changes in global DNA methylation and cancer incidence and mortality
title_full Prospective changes in global DNA methylation and cancer incidence and mortality
title_fullStr Prospective changes in global DNA methylation and cancer incidence and mortality
title_full_unstemmed Prospective changes in global DNA methylation and cancer incidence and mortality
title_short Prospective changes in global DNA methylation and cancer incidence and mortality
title_sort prospective changes in global dna methylation and cancer incidence and mortality
topic Molecular Diagnostics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4985350/
https://www.ncbi.nlm.nih.gov/pubmed/27351216
http://dx.doi.org/10.1038/bjc.2016.205
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