Authors
Edmund Charles Jenkins, Mrittika Chattopadhyay, Thelma Mashaka, Miguel Torres-Martin, Daniela Sia, Igor Bado, Doris Germain
Published in
Aging cell. Volume 25. Issue 8. Pages e70661.
Abstract
The incidence of breast cancer shows its largest peak around the age of 65 but also a peak around 45 indicating a bimodal distribution. While some potential explanations, such as age-related enrichment in specific breast cancer sub-types and BRCA1/2 mutations were proposed, they do not explain why the peaks are at 45 and 65, raising the possibility that the way the breast ages may play a role. Here using two mouse models, we show two distinct aging patterns of the mammary gland; one being progressive, the other bimodal. In the bimodal model, waves of overlapping genes and proteins associated with breast cancer pathways are observed at 11 and 19 months but are absent at 3 and 14 months. Further, in the bimodal model, the mammary glands at 11 and 19 months are more permissive to the growth of cancer cells but not at 14 or > 22 months, while in the progressive model, the growth of cancer cells increases starting at 14 months of age. Using scRNAseq, we established a bimodal aging signature. Since 11 and 19 months in mice correlate with 45 and 65 in humans, we tested the mammary gland-derived bimodal signature in two breast cancer databases and found that the signature is enriched in women diagnosed at 45 and 65. Therefore, our study raises the possibility that distinct patterns of aging of the breast exist and that they may contribute to the bimodal distribution of breast cancer. Further, our study adds to the growing evidence of non-linear aging.
PMID:
42572130
Bibliographic data and abstract were imported from PubMed on 10 Aug 2026.
Read full publication at:
Please sign in
to see all details.
Advertisement
Stats
- Recommendations n/a n/a positive of 0 vote(s)
- Views 5
- Comments 0