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Analysis of cancer genomes reveals basic features of human aging and its role in cancer development
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.
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“Aging is manifested as a progressive functional decline leading to exponentially increasing prevalence1,2 and incidence of chronic age-related diseases (e.g., cancers, diabetes, cardiovascular diseases, etc.3–5) and disease-specific mortality6.”
From Longitudinal Analysis of Blood Markers Reveals Progressive Loss of Resilience and Predicts Human Lifespan Limit (2021) · cites this paper as [4]
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Cited by
Sorted by citations
Sex differences in biological aging with a focus on human studies
Hägg, S., & Jylhävä, J. (2021) · eLife · doi:10.7554/elife.63425 · Cited by 442
“to have mutation accumulation earlier in life (Podolskiy et al., 2016), and in several premature-aging”
BackgroundThymic involution and rising disease incidence with age
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A whole lifespan mouse multi-tissue DNA methylation clock
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Self-citationProtein synthesis and quality control in aging
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Metadata
- Authors
- Podolskiy, D. I., Lobanov, A. V., Kryukov, G. V., & Gladyshev, V. N.
- Venue
- Nature Communications
- Published
- 2016-08-12
- Volume
- 7
- Issue
- 1
- ISSN
- 2041-1723
- PMC
- PMC4990632
- Cited by
- 100
- References
- 11
- Language
- en
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