ArticleNature communications2022
Age influences on the molecular presentation of tumours.
Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.
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Who cites it
59 citing papers in PubMed, 98 citations in OpenAlex.
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- Cancer progression through the lens of age-induced metabolic reprogramming.Nature reviews. Cancer · 2025Review
- Elevated NR2F1 underlies the persistence of invasive disease after treatment of BRAF-mutant melanoma.The Journal of clinical investigation · 2025Article
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- Proteogenomic characterization of invasive breast tumors in young women.NPJ breast cancer · 2025Article
- Aging-associated alterations in gene regulatory networks associate with risk, prognosis and response to therapy in lung adenocarcinoma.npj aging · 2025Article
- Prevalence of targetable genomic alterations among a diverse population participating in the ASCO TAPUR Study.NPJ precision oncology · 2025Article
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Corrections and comments
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Authors and funding
3 authors at 3 institutions in 3 countries.
Funding
Abstract
Cancer is often called a disease of aging. There are numerous ways in which cancer epidemiology and behaviour change with the age of the patient. The molecular bases for these relationships remain largely underexplored. To characterise them, we analyse age-associations in the nuclear and mitochondrial somatic mutational landscape of 20,033 tumours across 35 tumour-types. Age influences both the number of mutations in a tumour (0.077 mutations per megabase per year) and their evolutionary timing. Specific mutational signatures are associated with age, reflecting differences in exogenous and endogenous oncogenic processes such as a greater influence of tobacco use in the tumours of younger patients, but higher activity of DNA damage repair signatures in those of older patients. We find that known cancer driver genes such as CDKN2A and CREBBP are mutated in age-associated frequencies, and these alter the transcriptome and predict for clinical outcomes. These effects are most striking in brain cancers where alterations like SUFU loss and ATRX mutation are age-dependent prognostic biomarkers. Using three cancer datasets, we show that age shapes the somatic mutational landscape of cancer, with clinical implications.
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