Open access · CC-BY
via OpenAlex
An integrative analysis of the age-associated multi-omic landscape across cancers
Kasit Chatsirisupachai, Tom Lesluyes, Luminita Paraoan, Peter Van Loo, João Pedro de Magalhães
Nature Communications · 2021 · ▲ 126 citations
Abstract
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.
◌ CITATION ONLY
Full text is not openly licensed for redistribution here. Read it at the source:
Provenance
- Source
- OpenAlex
- DOI
- 10.1038/s41467-021-22560-y
- Canonical
- link ↗
- Fetched
- 2026-06-03 MST
Cite this
APA
Chatsirisupachai, K., Lesluyes, T., Paraoan, L., Loo, P.V., & Magalhães, J.P.D. (2021). An integrative analysis of the age-associated multi-omic landscape across cancers. <em>Nature Communications</em>. https://doi.org/10.1038/s41467-021-22560-y
Vancouver
Chatsirisupachai K, Lesluyes T, Paraoan L, Loo PV, Magalhães JPD. An integrative analysis of the age-associated multi-omic landscape across cancers. Nature Communications. 2021. doi:10.1038/s41467-021-22560-y.
BibTeX
@article{kasit2021Aninte,
title = {An integrative analysis of the age-associated multi-omic landscape across cancers},
author = {Kasit Chatsirisupachai and Tom Lesluyes and Luminita Paraoan and Peter Van Loo and João Pedro de Magalhães},
journal = {Nature Communications},
year = {2021},
doi = {10.1038/s41467-021-22560-y},
}
Research neighborhood
References, citing works, and semantically nearest findings. Click a node to open it.
Related findings
Nature 2013
Open access · CC-BY
Mutational landscape and significance across 12 major cancer types
Nature 2013
Open access · CC-BY
Comprehensive molecular characterization of clear cell renal cell carcinoma
Archives of Toxicology 2020
Open access · OA
Adverse outcome pathways for ionizing radiation and breast cancer involve direct and indirect DNA damage, oxidative stress, inflammation, genomic instability, and interaction with hormonal regulation of the breast
Frontiers in Bioinformatics 2022
Open access · CC-BY
DNA Methylation, Aging, and Cancer Risk: A Mini-Review
Nature Genetics 2025
Open access · CC-BY
Telomere attrition becomes an instrument for clonal selection in aging hematopoiesis and leukemogenesis
Genome Medicine 2017
Open access · CC-BY