Analysis of cancer genomes reveals basic features of human aging and its role in cancer development
Dmitriy I. Podolskiy,
Alexei V. Lobanov,
Gregory V. Kryukov and
Vadim N. Gladyshev ()
Additional contact information
Dmitriy I. Podolskiy: Brigham and Women’s Hospital and Harvard Medical School
Alexei V. Lobanov: Brigham and Women’s Hospital and Harvard Medical School
Gregory V. Kryukov: Broad Institute
Vadim N. Gladyshev: Brigham and Women’s Hospital and Harvard Medical School
Nature Communications, 2016, vol. 7, issue 1, 1-12
Abstract:
Abstract Somatic mutations have long been implicated in aging and disease, but their impact on fitness and function is difficult to assess. Here by analysing human cancer genomes we identify mutational patterns associated with aging. Our analyses suggest that age-associated mutation load and burden double approximately every 8 years, similar to the all-cause mortality doubling time. This analysis further reveals variance in the rate of aging among different human tissues, for example, slightly accelerated aging of the reproductive system. Age-adjusted mutation load and burden correlate with the corresponding cancer incidence and precede it on average by 15 years, pointing to pre-clinical cancer development times. Behaviour of mutation load also exhibits gender differences and late-life reversals, explaining some gender-specific and late-life patterns in cancer incidence rates. Overall, this study characterizes some features of human aging and offers a mechanism for age being a risk factor for the onset of cancer.
Date: 2016
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.nature.com/articles/ncomms12157 Abstract (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:7:y:2016:i:1:d:10.1038_ncomms12157
Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/
DOI: 10.1038/ncomms12157
Access Statistics for this article
Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie
More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().