ArticleGerontology2016
Breast Cancer beyond the Age of Mutation.
Article in Gerontology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
37 citing papers in PubMed, 59 citations in OpenAlex.
- Single-Cell Analysis in the Mouse and Human Mammary Gland.Advances in experimental medicine and biology · 2025Review
- Comprehensive single-cell aging atlas of healthy mammary tissues reveals shared epigenomic and transcriptomic signatures of aging and cancer.Nature aging · 2025Article
- Multiomics of Aging and Aging-Related Diseases.International journal of molecular sciences · 2024Review
- Brca1 haploinsufficiency promotes early tumor onset and epigenetic alterations in a mouse model of hereditary breast cancer.Nature genetics · 2024Article
- TRPS1 maintains luminal progenitors in the mammary gland by repressing SRF/MRTF activity.Breast cancer research : BCR · 2024Article
- A single-cell atlas enables mapping of homeostatic cellular shifts in the adult human breast.Nature genetics · 2024Article
- Review
- Comprehensive single cell aging atlas of mammary tissues reveals shared epigenomic and transcriptomic signatures of aging and cancer.bioRxiv : the preprint server for biology · 2023Article
- Changes in the mammary gland during aging and its links with breast diseases.Acta biochimica et biophysica Sinica · 2023Review
- Esr1 but Not CYP19A1 Overexpression in Mammary Epithelial Cells during Reproductive Senescence Induces Pregnancy-Like Proliferative Mammary Disease Responsive to Anti-Hormonals.The American journal of pathology · 2023Article
- Risk assessment of disease recurrence in early breast cancer: A serum metabolomic study focused on elderly patients.Translational oncology · 2023Article
- Review
- A human breast atlas integrating single-cell proteomics and transcriptomics.Developmental cell · 2022Article
- The impact of age group in breast cancer survival outcome according to neoadjuvant treatment response: A matched case-control study.The Kaohsiung journal of medical sciences · 2022Article
- Article
- Changes in Immune Cell Types with Age in Breast are Consistent with a Decline in Immune Surveillance and Increased Immunosuppression.Journal of mammary gland biology and neoplasia · 2021Article
- Splicing alterations in healthy aging and disease.Wiley interdisciplinary reviews. RNA · 2021Review
- Involvement of NRF2 in Breast Cancer and Possible Therapeutical Role of Polyphenols and Melatonin.Molecules (Basel, Switzerland) · 2021Review
- Aging-Associated Alterations in Mammary Epithelia and Stroma Revealed by Single-Cell RNA Sequencing.Cell reports · 2020Article
- Recent Advances in Experimental Models of Breast Cancer Exosome Secretion, Characterization and Function.Journal of mammary gland biology and neoplasia · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
Abstract
Age is the greatest risk factor for breast cancer, but the reasons underlying this association are unclear. While there is undeniably a genetic component to all cancers, the accumulation of mutations with age is insufficient to explain the age-dependent increase in breast cancer incidence. In this viewpoint, we propose a multilevel framework to better understand the respective roles played by somatic mutation, microenvironment, and epigenetics making women more susceptible to breast cancer with age. The process of aging is associated with gradual breast tissue changes that not only corrupt the tumor-suppressive activity of normal tissue but also impose age-specific epigenetic changes that alter gene expression, thus reinforcing cellular phenotypes that are associated with a continuum of age-related tissue microenvironments. The evidence discussed here suggests that while the riddle of whether epigenetics drives microenvironmental changes, or whether changes in the microenvironment alter heritable cellular memory has not been solved, a path has been cleared enabling functional analysis leading to the prediction of key nodes in the network that link the microenvironment with the epigenome. The hypothesis that the accumulation of somatic mutations with age drives the age-related increase in breast cancer incidence, if correct, has a somewhat nihilistic conclusion, namely that cancers will be impossible to avoid. Alternatively, if microenvironment-driven epigenetic changes are the key to explaining susceptibility to age-related breast cancers, then there is hope that primary prevention is possible because epigenomes are relatively malleable.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.