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Aging and increased cancer risk: exploring the potential of LE8 score to mitigate risk
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  • Published: 03 March 2026

Aging and increased cancer risk: exploring the potential of LE8 score to mitigate risk

  • Jiehui Li1 na1,
  • Yuhan Zhang1 na1,
  • Wenxing Zhang1 na1,
  • Jiabin Zheng1,
  • Sheng Yu2,
  • Zhuosheng Jiang2,
  • Yiqin Huang2,
  • Xin Guo3,
  • Zhihui Xi1,4,
  • Yong Li1 &
  • …
  • Huolun Feng1,3 

npj Aging , Article number:  (2026) Cite this article

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We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Biomarkers
  • Cancer
  • Diseases
  • Oncology
  • Risk factors

Abstract

Given global population aging and the absence of aging-reversal therapies, elucidating the aging-related cancer risk association and developing cancer prevention strategies are imperative. This population-based cohort study analyzed data from the UK Biobank. Aging was assessed through four validated markers, including Klemera-Doubal method (KDM), PhenoAge, leukocyte telomere length (TL) and chronological age. Over a median follow-up of 13.5 years, significant associations between all aging measures and elevated overall cancer risk were observed. False discovery rate (FDR)-corrected analyses revealed a significant association in a biological aging group for seven site-specific cancers, including esophageal, colorectal, pancreatic, skin, kidney, urinary tract cancers, and lymphoma, as evaluated by the four aging markers. A significant interaction (FDR-corrected p < 0.05) between Life's Essential 8 (LE8) and PhenoAge was observed for lung cancer risk. Furthermore, joint analyses revealed that elevated LE8 scores modify this risk for overall cancer among individuals with biological aging, with consistent risk reductions observed for esophageal, gastric, breast, and uterine cancers across all aging markers. These findings suggest that a higher LE8 score is associated with lower cancer risk in the context of biological aging.

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Data availability

Due to the privacy and sensitive information contained in the data, the data used for this study will not be made publicly available. The raw and derived data from UK Biobank are available to approved investigators (https://www.ukbiobank.ac.uk/). All relevant data will be shared on reasonable request to the corresponding authors.

Code availability

Codes used for this study are available upon reasonable request from the authors.

References

  1. Partridge, L., Deelen, J. & Slagboom, P. E. Facing up to the global challenges of ageing. Nature 561, 45–56 (2018).

    Google Scholar 

  2. Dogra, S. et al. Active aging and public health: evidence, implications, and opportunities. Annu. Rev. Public Health 43, 439–459 (2022).

    Google Scholar 

  3. Guo, J. et al. Aging and aging-related diseases: from molecular mechanisms to interventions and treatments. Signal Transduct. Target. Ther. 7, 391 (2022).

    Google Scholar 

  4. Klemera, P. & Doubal, S. A new approach to the concept and computation of biological age. Mech. Ageing Dev. 127, 240–248 (2006).

    Google Scholar 

  5. Levine, M. E. et al. An epigenetic biomarker of aging for lifespan and healthspan. Aging 10, 573–591 (2018).

    Google Scholar 

  6. Rossiello, F., Jurk, D., Passos, J. F. & d’Adda di Fagagna, F. Telomere dysfunction in ageing and age-related diseases. Nat. Cell Biol. 24, 135–147 (2022).

    Google Scholar 

  7. Morales Berstein, F. et al. Assessing the causal role of epigenetic clocks in the development of multiple cancers: a Mendelian randomization study. eLife 11, e75374 (2022).

    Google Scholar 

  8. Yang, Z., Shen, Y., Zhang, T., Tang, X. & Mao, R. Associations of biological age accelerations and genetic risk with incident endometrial cancer: a prospective analysis in UK Biobank. Int. J. Surg. Lond. Engl. 111, 512–519 (2024).

    Google Scholar 

  9. Bian, L. et al. Associations of combined phenotypic aging and genetic risk with incident cancer: a prospective cohort study. eLife 13, RP91101 (2024).

    Google Scholar 

  10. Mak, J. K. L. et al. Clinical biomarker-based biological aging and risk of cancer in the UK Biobank. Br. J. Cancer 129, 94–103 (2023).

    Google Scholar 

  11. López-Otín, C., Pietrocola, F., Roiz-Valle, D., Galluzzi, L. & Kroemer, G. Meta-hallmarks of aging and cancer. Cell Metab. 35, 12–35 (2023).

    Google Scholar 

  12. Park, M. D. et al. Hematopoietic aging promotes cancer by fueling IL-1α-driven emergency myelopoiesis. Science 386, eadn0327 (2024).

    Google Scholar 

  13. Li, X. et al. Accelerated aging mediates the associations of unhealthy lifestyles with cardiovascular disease, cancer, and mortality. J. Am. Geriatr. Soc. 72, 181–193 (2024).

    Google Scholar 

  14. Schmitt, C. A., Wang, B. & Demaria, M. Senescence and cancer - role and therapeutic opportunities. Nat. Rev. Clin. Oncol. 19, 619–636 (2022).

    Google Scholar 

  15. Schneider, C. V. et al. Association of telomere length with risk of disease and mortality. JAMA Intern. Med. 182, 291 (2022).

    Google Scholar 

  16. Lloyd-Jones, D. M. et al. Life’s essential 8: updating and enhancing the American Heart Association’s construct of cardiovascular health: a presidential advisory from the American Heart Association. Circulation 146, e18–e43 (2022).

    Google Scholar 

  17. Zhang, J. et al. Associations of Life’s Essential 8 and fine particulate matter pollution with the incidence of atrial fibrillation. J. Hazard. Mater. 459, 132114 (2023).

    Google Scholar 

  18. Wu, Z. et al. Life’s essential 8, genetic susceptibility, and risk of incident pancreatic cancer: a prospective cohort study. https://doi.org/10.1002/ijc.35184.

  19. Zhao, Y., Song, Y., Li, X. & Guo, A. Association of life’s essential 8 cardiovascular health with breast cancer incidence and mortality according to genetic susceptibility of breast cancer: a prospective cohort study. Breast Cancer Res. 26, 121 (2024).

    Google Scholar 

  20. Cardiovascular health and cancer mortality: evidence from US NHANES and UK Biobank cohort studies. BMC Med. https://doi.org/10.1186/s12916-024-03553-2 (2024).

  21. Hou, Y. et al. Association between cardiovascular health, cancer and its prognosis: a prospective cohort study. Public Health 242, 1–6 (2025).

    Google Scholar 

  22. Yang, C. et al. Life’s essential 8 and specific cancer risk and mortality in men and women: a population-based cohort analysis of 332,417 United Kingdom participants. BMC Cancer 25, 632 (2025).

    Google Scholar 

  23. Karlstaedt, A., Moslehi, J. & de Boer, R. A. Cardio-onco-metabolism: metabolic remodelling in cardiovascular disease and cancer. Nat. Rev. Cardiol. 19, 414–425 (2022).

    Google Scholar 

  24. Hibler, E. A. & Lloyd-Jones, D. M. Addressing the ‘common soil’ of risk factors for cardiovascular disease and cancer. JACC CardioOncology 3, 59–61 (2021).

    Google Scholar 

  25. Li, X. et al. Longitudinal trajectories, correlations and mortality associations of nine biological ages across 20-years follow-up. eLife 9, e51507 (2020).

    Google Scholar 

  26. Belsky, D. W. et al. Eleven telomere, epigenetic clock, and biomarker-composite quantifications of biological aging: do they measure the same thing? Am. J. Epidemiol. 187, 1220–1230 (2018).

    Google Scholar 

  27. Wang, X. et al. Joint association of biological aging and lifestyle with risks of cancer incidence and mortality: A cohort study in the UK Biobank. Prev. Med. 182, 107928 (2024).

    Google Scholar 

  28. Peng, Y. Cardiovascular health, polygenic risk score, and cancer risk: a prospective cohort study. Am. J. Clin. Nutr. 120, 785–793 (2024).

  29. Zhang, J. et al. Relation of Life’s essential 8 to the genetic predisposition for cardiovascular outcomes and all-cause mortality: results from a national prospective cohort. Eur. J. Prev. Cardiol. 30, 1676–1685 (2023).

    Google Scholar 

  30. Wu, D. et al. Better Life’s Essential 8 contributes to slowing the biological aging process: a cross-sectional study based on NHANES 2007-2010 data. Front. Public Health 12, 1295477 (2024).

    Google Scholar 

  31. Chen, H. et al. Adherence to Life’s essential 8 is associated with delayed biological aging: a population-based cross-sectional study. Rev. Esp. Cardiol. Engl. Ed. 78, 37–46 (2025).

    Google Scholar 

  32. Zhang, R. et al. Association between life’s essential 8 and biological ageing among US adults. J. Transl. Med. 21, 622 (2023).

    Google Scholar 

  33. Van Sloten, T. et al. Association of midlife cardiovascular health and subsequent change in cardiovascular health with incident cancer. JACC CardioOncol. 5, 39–52 (2023).

    Google Scholar 

  34. Liu, Y. et al. Dysregulation of immunity by cigarette smoking promotes inflammation and cancer: a review. Environ. Pollut. Barking Essex 1987 339, 122730 (2023).

    Google Scholar 

  35. Garg, S. K., Maurer, H., Reed, K. & Selagamsetty, R. Diabetes and cancer: two diseases with obesity as a common risk factor. Diab. Obes. Metab. 16, 97–110 (2014).

    Google Scholar 

  36. Lane, J. M. et al. Genetics of circadian rhythms and sleep in human health and disease. Nat. Rev. Genet. 24, 4–20 (2023).

    Google Scholar 

  37. Chaput, J.-P. et al. The role of insufficient sleep and circadian misalignment in obesity. Nat. Rev. Endocrinol. 19, 82–97 (2023).

    Google Scholar 

  38. Pathak, S. K. et al. Oxidative stress and cyclooxygenase activity in prostate carcinogenesis: targets for chemopreventive strategies. Eur. J. Cancer Oxf. Engl. 41, 61–70 (2005).

    Google Scholar 

  39. Liu, W. et al. Dysregulated cholesterol homeostasis results in resistance to ferroptosis increasing tumorigenicity and metastasis in cancer. Nat. Commun. 12, 5103 (2021).

    Google Scholar 

  40. Kidoguchi, S. et al. New concept of onco-hypertension and future perspectives. Hypertens. Dallas Tex. 1979 77, 16–27 (2021).

    Google Scholar 

  41. Stensrud, M. J. & Hernán, M. A. Why test for proportional hazards? JAMA 323, 1401–1402 (2020).

    Google Scholar 

  42. Levine, M. E. Modeling the rate of senescence: can estimated biological age predict mortality more accurately than chronological age? J. Gerontol. A Biol. Sci. Med. Sci. 68, 667–674 (2013).

    Google Scholar 

  43. Liu, Z. et al. A new aging measure captures morbidity and mortality risk across diverse subpopulations from NHANES IV: a cohort study. PLoS Med. 15, e1002718 (2018).

    Google Scholar 

  44. Kwon, D. & Belsky, D. W. A toolkit for quantification of biological age from blood chemistry and organ function test data: BioAge. GeroScience 43, 2795–2808 (2021).

    Google Scholar 

  45. Codd, V. et al. Measurement and initial characterization of leukocyte telomere length in 474,074 participants in UK Biobank. Nat. Aging 2, 170–179 (2022).

    Google Scholar 

  46. Ye, Q. et al. Telomere length and chronological age across the human lifespan: a systematic review and meta-analysis of 414 study samples including 743,019 individuals. Ageing Res. Rev. 90, 102031 (2023).

    Google Scholar 

  47. Yang, H. et al. Life’s essential 8, genetic susceptibility, and risk of inflammatory bowel diseases: a population-based cohort study. Int. J. Behav. Nutr. Phys. Act. 21, 66 (2024).

    Google Scholar 

  48. Blane, D., Townsend, P., Phillimore, P. & Beattie, A. Health and deprivation: inequality and the north. Br. J. Sociol. 40, 344 (1987).

    Google Scholar 

Download references

Acknowledgements

We are grateful to the participants and study staff of UK Biobank. This research received no external funding.

Author information

Author notes
  1. These authors contributed equally: Jiehui Li, Yuhan Zhang, Wenxing Zhang.

Authors and Affiliations

  1. Department of Gastrointestinal Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, Guangdong, China

    Jiehui Li, Yuhan Zhang, Wenxing Zhang, Jiabin Zheng, Zhihui Xi, Yong Li & Huolun Feng

  2. Nanfang Hospital, Southern Medical University or The First School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, China

    Sheng Yu, Zhuosheng Jiang & Yiqin Huang

  3. Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China

    Xin Guo & Huolun Feng

  4. School of Medicine, South China University of Technology, Guangzhou, Guangdong, China

    Zhihui Xi

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Contributions

Y.L., Z.X., X.G., and H.F. contributed to the conception and design of this study. Z.X., W.Z., X.G., Y.Z., S.Y., Z.J., Y.H., and J.Z. were involved in the acquisition of data. Z.X., H.F., and J.L. performed analysis. Z.X., H.F., and J.L. were involved in data interpretation. Y.Z.., H.F., W.Z., and J.L. wrote the first draft of the manuscript. All the authors discussed the results, revised the manuscript, and agreed to its publication. H.F. and Y.L. supervised the study.

Corresponding authors

Correspondence to Xin Guo, Zhihui Xi, Yong Li or Huolun Feng.

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The authors declare no conflicts of interest.

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Supplementary information

Supplementary_data. (download DOCX )

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Li, J., Zhang, Y., Zhang, W. et al. Aging and increased cancer risk: exploring the potential of LE8 score to mitigate risk. npj Aging (2026). https://doi.org/10.1038/s41514-026-00352-2

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  • Received: 24 August 2025

  • Accepted: 17 February 2026

  • Published: 03 March 2026

  • DOI: https://doi.org/10.1038/s41514-026-00352-2

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