ArticleCancer discovery2025
Long-Term Latency of Highly Mutated Cells in Normal Mouse Skin Is Reversed by Exposure to Tumor Promoters and Chronic Tissue Damage.
Article in Cancer discovery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- Chemically induced skin tumors arise from long-lived stem cells of the upper hair follicle.Science (New York, N.Y.) · 2026Article
- The role of cytotoxicity in the process of carcinogenesis.Archives of toxicology · 2026Article
- CIT tumor lines: A series of immunogenic murine cutaneous squamous cell carcinoma cell lines derived from chemical carcinogenesis.JID innovations : skin science from molecules to population health · 2026Article
- Tumour promotion through the lens of evolution.Nature · 2026Review
- Mutational landscape of normal breast tissues adjacent to invasive breast cancer.Cell reports. Medicine · 2026Article
- Pancreatic cancer: molecular pathogenesis and emerging therapeutic strategies.Signal transduction and targeted therapy · 2026Review
- Radiation effects research foundation-a view to the future.Carcinogenesis · 2025Article
- Does childhood obesity foreshadow a future time-bomb of early and more aggressive cancers?Frontiers in endocrinology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors.
Funding
Abstract
Historical studies performed nearly a century ago using mouse skin models identified two key steps in cancer evolution: initiation, a likely mutational event, and promotion, driven by inflammation and cell proliferation. Initiation was proposed to be permanent, with promotion as the critical rate-limiting step for cancer development. In this study, we carried out whole-genome sequencing to demonstrate that initiated cells with thousands of mutagen-induced mutations can persist for long periods and are not removed by cell competition or by immune intervention, thus mimicking the persistence of cells with cancer driver mutations in normal human tissues. In the mouse, these cells do not give rise to tumors unless exposed to the tumor promoter 12-O-tetradecanoylphorbol-13-acetate (TPA). Tissue damage and regenerative proliferation, but not normal cell turnover, consistently trigger tumor formation. Wounding, promoter treatment, and obesity enhance promotion without increasing mutational burden, supporting the possibility of future cancer prevention efforts directed at promotional risk factors. SIGNIFICANCE: Using historical skin cancer models, we reveal that mutated cells can persist without tumor formation and give rise to cancer upon exposure to tumor promoters, underscoring the importance of tumor promotion over initiation as the rate-limiting step in carcinogenesis and the need for cancer prevention strategies targeting promotional factors. See related commentary by Lim and DeGregori, p. 1090.
Indexed as
Identifiers
What OpenQuestion holds
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.