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Aging measures and cancer in the Health and Retirement Study (HRS)

Author

Listed:
  • Shuo Wang

    (University of Minnesota)

  • Anna Prizment

    (University of Minnesota)

  • Puleng Moshele

    (University of Minnesota)

  • Sithara Vivek

    (University of Minnesota)

  • Weihua Guan

    (University of Minnesota)

  • Anne H. Blaes

    (University of Minnesota)

  • Heather H. Nelson

    (University of Minnesota)

  • Bharat Thyagarajan

    (University of Minnesota)

Abstract

Cancer survivors may have higher biological age (BA) than cancer-free persons (controls). In HRS, we examined the associations of BA with cancer prevalence and mortality. BA was estimated by the Klemera and Doubal method (KDM-BA), phenotypic age (PhenoAge), and subjective age (SA) among 946 cancer survivors and 4555 controls; and by epigenetic clocks (Horvath, Hannum, Levine, GrimAge, Zhang Score (ZS), and methylation-based pace of aging (mPOA)) among 582 cancer survivors and 2805 controls. Age acceleration is estimated as residuals regressed on chronological age. There are significant multivariable associations with cancer prevalence for Hannum, GrimAge, and SA, and ZS (logistic regression), and with mortality for PhenoAge, Hannum, Levine, GrimAge, and ZS in cancer survivors, and for KDM-BA, PhenoAge, and ZS in controls (Cox regression). The strongest association in cancer survivors is for GrimAge (HR per 1 SD = 1.80, p

Suggested Citation

  • Shuo Wang & Anna Prizment & Puleng Moshele & Sithara Vivek & Weihua Guan & Anne H. Blaes & Heather H. Nelson & Bharat Thyagarajan, 2025. "Aging measures and cancer in the Health and Retirement Study (HRS)," Nature Communications, Nature, vol. 16(1), pages 1-11, December.
    • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-60913-z
    DOI: 10.1038/s41467-025-60913-z
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    References listed on IDEAS

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    1. Yan Zhang & Rory Wilson & Jonathan Heiss & Lutz P. Breitling & Kai-Uwe Saum & Ben Schöttker & Bernd Holleczek & Melanie Waldenberger & Annette Peters & Hermann Brenner, 2017. "DNA methylation signatures in peripheral blood strongly predict all-cause mortality," Nature Communications, Nature, vol. 8(1), pages 1-11, April.
    2. Zuyun Liu & Pei-Lun Kuo & Steve Horvath & Eileen Crimmins & Luigi Ferrucci & Morgan Levine, 2018. "A new aging measure captures morbidity and mortality risk across diverse subpopulations from NHANES IV: A cohort study," PLOS Medicine, Public Library of Science, vol. 15(12), pages 1-20, December.
    3. repec:plo:pmed00:1002760 is not listed on IDEAS
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