ArticleEvolutionary applications2013
Preventive evolutionary medicine of cancers.
Article in Evolutionary applications, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed.
- Relation Between Obesity and Type 2 Diabetes: Evolutionary Insights, Perspectives and Controversies.Current obesity reports · 2024Review
- Review
- The evolution of resistance and tolerance as cancer defences.Parasitology · 2020Article
- Is adaptive therapy natural?PLoS biology · 2018Article
- Cancer: A disease at the crossroads of trade-offs.Evolutionary applications · 2017Article
- Clone wars: the evolution of therapeutic resistance in cancer.Evolution, medicine, and public health · 2016Article
- The blemishes of modern society? Acne prevalence in the Dogon of Mali.Evolution, medicine, and public health · 2016Article
- Peto's paradox and the promise of comparative oncology.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2015Article
- Peto's paradox and human cancers.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2015Article
- Article
- Cancer evolution: mathematical models and computational inference.Systematic biology · 2015Review
- Evolutionary foundations for cancer biology.Evolutionary applications · 2013Article
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Evolutionary theory predicts that once an individual reaches an age of sufficiently low Darwinian fitness, (s)he will have reduced chances of keeping cancerous lesions in check. While we clearly need to better understand the emergence of precursor states and early malignancies as well as their mitigation by the microenvironment and tissue architecture, we argue that lifestyle changes and preventive therapies based in an evolutionary framework, applied to identified high-risk populations before incipient neoplasms become clinically detectable and chemoresistant lineages emerge, are currently the most reliable way to control or eliminate early tumours. Specifically, the relatively low levels of (epi)genetic heterogeneity characteristic of many if not most incipient lesions will mean a relatively limited set of possible adaptive traits and associated costs compared to more advanced cancers, and thus a more complete and predictable understanding of treatment options and outcomes. We propose a conceptual model for preventive treatments and discuss the many associated challenges.
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.