Cargando…
Epigenetic prediction of complex traits and mortality in a cohort of individuals with oropharyngeal cancer
BACKGROUND: DNA methylation (DNAm) variation is an established predictor for several traits. In the context of oropharyngeal cancer (OPC), where 5-year survival is ~ 65%, DNA methylation may act as a prognostic biomarker. We examined the accuracy of DNA methylation biomarkers of 4 complex exposure t...
Autores principales: | , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7178612/ https://www.ncbi.nlm.nih.gov/pubmed/32321578 http://dx.doi.org/10.1186/s13148-020-00850-4 |
_version_ | 1783525496550588416 |
---|---|
author | Langdon, Ryan J. Beynon, Rhona A. Ingarfield, Kate Marioni, Riccardo E. McCartney, Daniel L. Martin, Richard M. Ness, Andy R. Pawlita, Michael Waterboer, Tim Relton, Caroline Thomas, Steven J. Richmond, Rebecca C. |
author_facet | Langdon, Ryan J. Beynon, Rhona A. Ingarfield, Kate Marioni, Riccardo E. McCartney, Daniel L. Martin, Richard M. Ness, Andy R. Pawlita, Michael Waterboer, Tim Relton, Caroline Thomas, Steven J. Richmond, Rebecca C. |
author_sort | Langdon, Ryan J. |
collection | PubMed |
description | BACKGROUND: DNA methylation (DNAm) variation is an established predictor for several traits. In the context of oropharyngeal cancer (OPC), where 5-year survival is ~ 65%, DNA methylation may act as a prognostic biomarker. We examined the accuracy of DNA methylation biomarkers of 4 complex exposure traits (alcohol consumption, body mass index [BMI], educational attainment and smoking status) in predicting all-cause mortality in people with OPC. RESULTS: DNAm predictors of alcohol consumption, BMI, educational attainment and smoking status were applied to 364 individuals with OPC in the Head and Neck 5000 cohort (HN5000; 19.6% of total OPC cases in the study), followed up for median 3.9 years; inter-quartile range (IQR) 3.3 to 5.2 years (time-to-event—death or censor). The proportion of phenotypic variance explained in each trait was as follows: 16.5% for alcohol consumption, 22.7% for BMI, 0.4% for educational attainment and 51.1% for smoking. We then assessed the relationship between each DNAm predictor and all-cause mortality using Cox proportional-hazard regression analysis. DNAm prediction of smoking was most consistently associated with mortality risk (hazard ratio [HR], 1.38 per standard deviation (SD) increase in smoking DNAm score; 95% confidence interval [CI] 1.04 to 1.83; P 0.025, in a model adjusted for demographic, lifestyle, health and biological variables). Finally, we examined the accuracy of each DNAm predictor of mortality. DNAm predictors explained similar levels of variance in mortality to self-reported phenotypes. Receiver operator characteristic (ROC) curves for the DNAm predictors showed a moderate discrimination of alcohol consumption (area under the curve [AUC] 0.63), BMI (AUC 0.61) and smoking (AUC 0.70) when predicting mortality. The DNAm predictor for education showed poor discrimination (AUC 0.57). Z tests comparing AUCs between self-reported phenotype ROC curves and DNAm score ROC curves did not show evidence for difference between the two (alcohol consumption P 0.41, BMI P 0.62, educational attainment P 0.49, smoking P 0.19). CONCLUSIONS: In the context of a clinical cohort of individuals with OPC, DNAm predictors for smoking, alcohol consumption, educational attainment and BMI exhibit similar predictive values for all-cause mortality compared to self-reported data. These findings may have translational utility in prognostic model development, particularly where phenotypic data are not available. |
format | Online Article Text |
id | pubmed-7178612 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-71786122020-04-24 Epigenetic prediction of complex traits and mortality in a cohort of individuals with oropharyngeal cancer Langdon, Ryan J. Beynon, Rhona A. Ingarfield, Kate Marioni, Riccardo E. McCartney, Daniel L. Martin, Richard M. Ness, Andy R. Pawlita, Michael Waterboer, Tim Relton, Caroline Thomas, Steven J. Richmond, Rebecca C. Clin Epigenetics Research BACKGROUND: DNA methylation (DNAm) variation is an established predictor for several traits. In the context of oropharyngeal cancer (OPC), where 5-year survival is ~ 65%, DNA methylation may act as a prognostic biomarker. We examined the accuracy of DNA methylation biomarkers of 4 complex exposure traits (alcohol consumption, body mass index [BMI], educational attainment and smoking status) in predicting all-cause mortality in people with OPC. RESULTS: DNAm predictors of alcohol consumption, BMI, educational attainment and smoking status were applied to 364 individuals with OPC in the Head and Neck 5000 cohort (HN5000; 19.6% of total OPC cases in the study), followed up for median 3.9 years; inter-quartile range (IQR) 3.3 to 5.2 years (time-to-event—death or censor). The proportion of phenotypic variance explained in each trait was as follows: 16.5% for alcohol consumption, 22.7% for BMI, 0.4% for educational attainment and 51.1% for smoking. We then assessed the relationship between each DNAm predictor and all-cause mortality using Cox proportional-hazard regression analysis. DNAm prediction of smoking was most consistently associated with mortality risk (hazard ratio [HR], 1.38 per standard deviation (SD) increase in smoking DNAm score; 95% confidence interval [CI] 1.04 to 1.83; P 0.025, in a model adjusted for demographic, lifestyle, health and biological variables). Finally, we examined the accuracy of each DNAm predictor of mortality. DNAm predictors explained similar levels of variance in mortality to self-reported phenotypes. Receiver operator characteristic (ROC) curves for the DNAm predictors showed a moderate discrimination of alcohol consumption (area under the curve [AUC] 0.63), BMI (AUC 0.61) and smoking (AUC 0.70) when predicting mortality. The DNAm predictor for education showed poor discrimination (AUC 0.57). Z tests comparing AUCs between self-reported phenotype ROC curves and DNAm score ROC curves did not show evidence for difference between the two (alcohol consumption P 0.41, BMI P 0.62, educational attainment P 0.49, smoking P 0.19). CONCLUSIONS: In the context of a clinical cohort of individuals with OPC, DNAm predictors for smoking, alcohol consumption, educational attainment and BMI exhibit similar predictive values for all-cause mortality compared to self-reported data. These findings may have translational utility in prognostic model development, particularly where phenotypic data are not available. BioMed Central 2020-04-22 /pmc/articles/PMC7178612/ /pubmed/32321578 http://dx.doi.org/10.1186/s13148-020-00850-4 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Langdon, Ryan J. Beynon, Rhona A. Ingarfield, Kate Marioni, Riccardo E. McCartney, Daniel L. Martin, Richard M. Ness, Andy R. Pawlita, Michael Waterboer, Tim Relton, Caroline Thomas, Steven J. Richmond, Rebecca C. Epigenetic prediction of complex traits and mortality in a cohort of individuals with oropharyngeal cancer |
title | Epigenetic prediction of complex traits and mortality in a cohort of individuals with oropharyngeal cancer |
title_full | Epigenetic prediction of complex traits and mortality in a cohort of individuals with oropharyngeal cancer |
title_fullStr | Epigenetic prediction of complex traits and mortality in a cohort of individuals with oropharyngeal cancer |
title_full_unstemmed | Epigenetic prediction of complex traits and mortality in a cohort of individuals with oropharyngeal cancer |
title_short | Epigenetic prediction of complex traits and mortality in a cohort of individuals with oropharyngeal cancer |
title_sort | epigenetic prediction of complex traits and mortality in a cohort of individuals with oropharyngeal cancer |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7178612/ https://www.ncbi.nlm.nih.gov/pubmed/32321578 http://dx.doi.org/10.1186/s13148-020-00850-4 |
work_keys_str_mv | AT langdonryanj epigeneticpredictionofcomplextraitsandmortalityinacohortofindividualswithoropharyngealcancer AT beynonrhonaa epigeneticpredictionofcomplextraitsandmortalityinacohortofindividualswithoropharyngealcancer AT ingarfieldkate epigeneticpredictionofcomplextraitsandmortalityinacohortofindividualswithoropharyngealcancer AT marioniriccardoe epigeneticpredictionofcomplextraitsandmortalityinacohortofindividualswithoropharyngealcancer AT mccartneydaniell epigeneticpredictionofcomplextraitsandmortalityinacohortofindividualswithoropharyngealcancer AT martinrichardm epigeneticpredictionofcomplextraitsandmortalityinacohortofindividualswithoropharyngealcancer AT nessandyr epigeneticpredictionofcomplextraitsandmortalityinacohortofindividualswithoropharyngealcancer AT pawlitamichael epigeneticpredictionofcomplextraitsandmortalityinacohortofindividualswithoropharyngealcancer AT waterboertim epigeneticpredictionofcomplextraitsandmortalityinacohortofindividualswithoropharyngealcancer AT reltoncaroline epigeneticpredictionofcomplextraitsandmortalityinacohortofindividualswithoropharyngealcancer AT thomasstevenj epigeneticpredictionofcomplextraitsandmortalityinacohortofindividualswithoropharyngealcancer AT richmondrebeccac epigeneticpredictionofcomplextraitsandmortalityinacohortofindividualswithoropharyngealcancer |