Age is one of the strongest risk factors for cancer and also affects tumour biology, treatment recommendations and response to therapy. Although clinical oncology guidelines advocate against classifying patients on the basis of chronological age alone, most studies and published guidelines use discrete age cutoffs, often heterogeneously. Herein, we discuss age cutoffs from a historical and biological perspective, focusing on breast cancer.
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References
Carleton, N. et al. Personalising therapy for early-stage oestrogen receptor-positive breast cancer in older women. Lancet Healthy Longev. 3, e54–e66 (2022).
Van Herck, Y. et al. Is cancer biology different in older patients? Lancet Healthy Longev. 2, e663–e677 (2021).
Biganzoli, L. et al. Updated recommendations regarding the management of older patients with breast cancer: a joint paper from the European Society of Breast Cancer Specialists (EUSOMA) and the International Society of Geriatric Oncology (SIOG). Lancet Oncol. 22, e327–e340 (2021).
Gradishar, W. J. et al. Breast cancer, version 3.2022, NCCN Clinical practice guidelines in oncology. J. Natl. Compr. Canc. Netw. 20, 691–722 (2022).
Dotan, E. et al. NCCN Guidelines® insights: older adult oncology, version 1.2021. J. Natl. Compr. Canc. Netw. 19, 1006–1019 (2021).
Frequently Asked Questions, Age 65 Retirement. US Social Security Administration https://www.ssa.gov/history/age65.html (2022).
Shah, Y. et al. Pan-cancer analysis reveals molecular patterns associated with age. Cell Rep. 37, 110100 (2021).
Furman, D. et al. Chronic inflammation in the etiology of disease across the life span. Nat. Med. 25, 1822–1832 (2019).
Sayed, N. et al. An inflammatory aging clock (iAge) based on deep learning tracks multimorbidity, immunosenescence, frailty and cardiovascular aging. Nat Aging 1, 598–615 (2021).
Ludmir, E. B. et al. Factors associated with age disparities among cancer clinical trial participants. JAMA Oncol. 5, 1769–1773 (2019).
Acknowledgements
N.C. receives funding from the National Cancer Institute of the National Institutes of Health (award number 1F30CA264963-01).
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Carleton, N., McAuliffe, P.F. Are the chronological age cutoffs used in clinical oncology guidelines biologically meaningful?. Nat Rev Clin Oncol 19, 745–746 (2022). https://doi.org/10.1038/s41571-022-00684-4
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DOI: https://doi.org/10.1038/s41571-022-00684-4
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