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Age influences on the molecular presentation of tumours

Author

Listed:
  • Constance H. Li

    (Ontario Institute for Cancer Research
    University of Toronto
    University of California
    University of California)

  • Syed Haider

    (The Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research)

  • Paul C. Boutros

    (University of Toronto
    University of California
    University of California
    Jonsson Comprehensive Cancer Center, University of California)

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.

Suggested Citation

  • Constance H. Li & Syed Haider & Paul C. Boutros, 2022. "Age influences on the molecular presentation of tumours," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-021-27889-y
    DOI: 10.1038/s41467-021-27889-y
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    Cited by:

    1. Daniel Rojas-Díaz & María Eugenia Puerta-Yepes & Daniel Medina-Gaspar & Jesús Alonso Botero & Anwar Rodríguez & Norberto Rojas, 2023. "Mathematical Modeling for the Assessment of Public Policies in the Cancer Health-Care System Implemented for the Colombian Case," IJERPH, MDPI, vol. 20(18), pages 1-36, September.

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