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An epigenetic aging analysis of randomized metformin and weight loss interventions in overweight postmenopausal breast cancer survivors

Nwanaji-Enwerem, Jamaji C., Chung, Felicia Fei-Lei, Van der Laan, Lars, Novoloaca, Alexei, Cuenin, Cyrille, Johansson, Harriet, Bonanni, Bernardo, Hubbard, Alan E., Smith, Martyn T., Hartman, Sheri J., Cardenas, Andres, Sears, Dorothy D., Herceg, Zdenko·2021·Clinical Epigenetics
DOI 10.1186/s13148-021-01218-yPMC PMC8684118
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Abstract

Metformin and weight loss relationships with epigenetic age measures—biological aging biomarkers—remain understudied. We performed a post-hoc analysis of a randomized controlled trial among overweight/obese breast cancer survivors (N = 192) assigned to metformin, placebo, weight loss with metformin, or weight loss with placebo interventions for 6 months. Epigenetic age was correlated with chronological age (r = 0.20–0.86; P < 0.005). However, no significant epigenetic aging associations were observed by intervention arms. Consistent with published reports in non-cancer patients, 6 months of metformin therapy may be inadequate to observe expected epigenetic age deceleration. Longer duration studies are needed to better characterize these relationships. Trial Registration: Registry Name: ClincialTrials.Gov. Registration Number: NCT01302379. Date of Registration: February 2011. URL:https://clinicaltrials.gov/ct2/show/NCT01302379

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Fig. 1 Epigenetic Age and Chronological Age Pearson Correlations. Figure presents the baseline chronological age and epigenetic age correlation coefficients for the study sample (N = 192) for DNAmAge Hannum (A), DNAmAge Horvath (B), DNAmAge SkinBloodClock (C), DNAm PhenoAge (D), DNAm GrimAge (E), DNAm TL (F), EpiTOC (G), EpiTOC2 (H), and MiAge (I)
Fig. 1 Epigenetic Age and Chronological Age Pearson Correlations. Figure presents the baseline chronological age and epigenetic age correlation coefficients for the study sample (N = 192) for DNAmAge Hannum (A), DNAmAge Horvath (B), DNAmAge SkinBloodClock (C), DNAm PhenoAge (D), DNAm GrimAge (E), DNAm TL (F), EpiTOC (G), EpiTOC2 (H), and MiAge (I)CC BY · PubMed Central

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Research works printed but not linked: 11

  1. Patterson RE, Marinac CR, Natarajan L, Hartman SJ, Cadmus-Bertram L, Flatt SW, et al. Recruitment strategies, design, and participant characteristics in a trial of weight-loss and metformin in breast cancer survivors. Contemp Clin Trials. 2016;47:64–71. · DOI
  2. Hägg S, Jylhävä J. Should we invest in biological age predictors to treat colorectal cancer in older adults? Eur J Surg Oncol. 2020;46(3):316–20. · DOI
  3. Ambatipudi S, Horvath S, Perrier F, Cuenin C, Hernandez-Vargas H, Le Calvez-Kelm F, et al. DNA methylome analysis identifies accelerated epigenetic ageing associated with postmenopausal breast cancer susceptibility. Eur J Cancer. 2017;75:299–307. · DOI
  4. Patterson RE, Marinac CR, Sears DD, Kerr J, Hartman SJ, Cadmus-Bertram L, et al. The effects of metformin and weight loss on biomarkers associated with breast cancer outcomes. J Natl Cancer Inst. 2018;110(11):1239–47. · DOI
  5. Teschendorff AE. A comparison of epigenetic mitotic-like clocks for cancer risk prediction. Genome Med. 2020;12(1):56. · DOI
  6. Lu AT, Seeboth A, Tsai P-C, Sun D, Quach A, Reiner AP, et al. DNA methylation-based estimator of telomere length. Aging (Albany NY). 2019;11(16):5895–923. · DOI · Paper page
  7. Pidsley R, Zotenko E, Peters TJ, Lawrence MG, Risbridger GP, Molloy P, et al. Critical evaluation of the Illumina MethylationEPIC BeadChip microarray for whole-genome DNA methylation profiling. Genome Biol. 2016;17(1):208. · DOI · Paper page
  8. Horvath S, Erhart W, Brosch M, Ammerpohl O, von Schönfels W, Ahrens M, et al. Obesity accelerates epigenetic aging of human liver. Proc Natl Acad Sci USA. 2014;111(43):15538–43. · DOI
  9. Chapman IM. Obesity paradox during aging. Interdiscip Top Gerontol. 2010;37:20–36. · DOI
  10. Miller SL, Wolfe RR. The danger of weight loss in the elderly. J Nutr Health Aging. 2008;12(7):487–91. · DOI · Paper page
  11. Bhurchandi S, Kumar S, Agrawal S, Acharya S, Jain S, Talwar D, et al. Correlation of sarcopenia with modified frailty index as a predictor of outcome in critically Ill elderly patients: a cross-sectional study. Cureus. 2021;13(10):e19065.

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Metadata

Authors
Nwanaji-Enwerem, J. C., Chung, F. F.-L., Van der Laan, L., Novoloaca, A., Cuenin, C., Johansson, H., Bonanni, B., Hubbard, A. E., Smith, M. T., Hartman, S. J., Cardenas, A., Sears, D. D., & Herceg, Z.
ORCID
Nwanaji-Enwerem, Jamaji C.
Venue
Clinical Epigenetics
Publisher
Springer Science and Business Media LLC
Published
2021-12
Volume
13
Issue
1
ISSN
  • 1868-7075
  • 1868-7083
DOI
10.1186/s13148-021-01218-y
PMC
PMC8684118
Cited by
19
References
3
Language
en
Licence
Funders
national institutes of health (R03AG067064, R01ES031259, U54 CA155435)

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CoChat. (2026). Citation check: An epigenetic aging analysis of randomized metformin and weight loss interventions in overweight postmenopausal breast cancer survivors. https://app.cochat.ai/papers/10.1186/s13148-021-01218-y
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Nwanaji-Enwerem, J. C., Chung, F. F.-L., Van der Laan, L., Novoloaca, A., Cuenin, C., Johansson, H., Bonanni, B., Hubbard, A. E., Smith, M. T., Hartman, S. J., Cardenas, A., Sears, D. D., & Herceg, Z. (2021). An epigenetic aging analysis of randomized metformin and weight loss interventions in overweight postmenopausal breast cancer survivors. Clinical Epigenetics. https://doi.org/10.1186/s13148-021-01218-y