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An integrative analysis of the age-associated multi-omic landscape across cancers

Age is the most important risk factor for cancer, as cancer incidence and mortality increase with age. However, how molecular alterations in tumours differ among patients of different age remains largely unexplored. Here, using data from The Cancer Genome Atlas, we comprehensively characterise genom...

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Autores principales: Chatsirisupachai, Kasit, Lesluyes, Tom, Paraoan, Luminita, Van Loo, Peter, de Magalhães, João Pedro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8058097/
https://www.ncbi.nlm.nih.gov/pubmed/33879792
http://dx.doi.org/10.1038/s41467-021-22560-y
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author Chatsirisupachai, Kasit
Lesluyes, Tom
Paraoan, Luminita
Van Loo, Peter
de Magalhães, João Pedro
author_facet Chatsirisupachai, Kasit
Lesluyes, Tom
Paraoan, Luminita
Van Loo, Peter
de Magalhães, João Pedro
author_sort Chatsirisupachai, Kasit
collection PubMed
description Age is the most important risk factor for cancer, as cancer incidence and mortality increase with age. However, how molecular alterations in tumours differ among patients of different age remains largely unexplored. Here, using data from The Cancer Genome Atlas, we comprehensively characterise genomic, transcriptomic and epigenetic alterations in relation to patients’ age across cancer types. We show that tumours from older patients present an overall increase in genomic instability, somatic copy-number alterations (SCNAs) and somatic mutations. Age-associated SCNAs and mutations are identified in several cancer-driver genes across different cancer types. The largest age-related genomic differences are found in gliomas and endometrial cancer. We identify age-related global transcriptomic changes and demonstrate that these genes are in part regulated by age-associated DNA methylation changes. This study provides a comprehensive, multi-omics view of age-associated alterations in cancer and underscores age as an important factor to consider in cancer research and clinical practice.
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spelling pubmed-80580972021-05-11 An integrative analysis of the age-associated multi-omic landscape across cancers Chatsirisupachai, Kasit Lesluyes, Tom Paraoan, Luminita Van Loo, Peter de Magalhães, João Pedro Nat Commun Article Age is the most important risk factor for cancer, as cancer incidence and mortality increase with age. However, how molecular alterations in tumours differ among patients of different age remains largely unexplored. Here, using data from The Cancer Genome Atlas, we comprehensively characterise genomic, transcriptomic and epigenetic alterations in relation to patients’ age across cancer types. We show that tumours from older patients present an overall increase in genomic instability, somatic copy-number alterations (SCNAs) and somatic mutations. Age-associated SCNAs and mutations are identified in several cancer-driver genes across different cancer types. The largest age-related genomic differences are found in gliomas and endometrial cancer. We identify age-related global transcriptomic changes and demonstrate that these genes are in part regulated by age-associated DNA methylation changes. This study provides a comprehensive, multi-omics view of age-associated alterations in cancer and underscores age as an important factor to consider in cancer research and clinical practice. Nature Publishing Group UK 2021-04-20 /pmc/articles/PMC8058097/ /pubmed/33879792 http://dx.doi.org/10.1038/s41467-021-22560-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Chatsirisupachai, Kasit
Lesluyes, Tom
Paraoan, Luminita
Van Loo, Peter
de Magalhães, João Pedro
An integrative analysis of the age-associated multi-omic landscape across cancers
title An integrative analysis of the age-associated multi-omic landscape across cancers
title_full An integrative analysis of the age-associated multi-omic landscape across cancers
title_fullStr An integrative analysis of the age-associated multi-omic landscape across cancers
title_full_unstemmed An integrative analysis of the age-associated multi-omic landscape across cancers
title_short An integrative analysis of the age-associated multi-omic landscape across cancers
title_sort integrative analysis of the age-associated multi-omic landscape across cancers
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8058097/
https://www.ncbi.nlm.nih.gov/pubmed/33879792
http://dx.doi.org/10.1038/s41467-021-22560-y
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