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Turning natural adaptations to oncogenic factors into an ally in the war against cancer

Marion Vittecoq, Mathieu Giraudeau, Tuul Sepp, David J. Marcogliese, Marcel Klaassen, François Renaud, Beáta Újvári, Frédéric Thomas

Evolutionary Applications · 2018 · ▲ 22 citations

Abstract

Both field and experimental evolution studies have demonstrated that organisms naturally or artificially exposed to environmental oncogenic factors can, sometimes rapidly, evolve specific adaptations to cope with pollutants and their adverse effects on fitness. Although numerous pollutants are mutagenic and carcinogenic, little attention has been given to exploring the extent to which adaptations displayed by organisms living in oncogenic environments could inspire novel cancer treatments, through mimicking the processes allowing these organisms to prevent or limit malignant progression. Building on a substantial knowledge base from the literature, we here present and discuss this progressive and promising research direction, advocating closer collaboration between the fields of medicine, ecology, and evolution in the war against cancer.

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Provenance

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OpenAlex
DOI
10.1111/eva.12608
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2026-07-15 MST

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APA
Vittecoq, M., Giraudeau, M., Sepp, T., Marcogliese, D.J., Klaassen, M., Renaud, F., Újvári, B., &amp; Thomas, F. (2018). Turning natural adaptations to oncogenic factors into an ally in the war against cancer. <em>Evolutionary Applications</em>. https://doi.org/10.1111/eva.12608
Vancouver
Vittecoq M, Giraudeau M, Sepp T, Marcogliese DJ, Klaassen M, Renaud F, et al. Turning natural adaptations to oncogenic factors into an ally in the war against cancer. Evolutionary Applications. 2018. doi:10.1111/eva.12608.
BibTeX
@article{marion2018Turnin, title = {Turning natural adaptations to oncogenic factors into an ally in the war against cancer}, author = {Marion Vittecoq and Mathieu Giraudeau and Tuul Sepp and David J. Marcogliese and Marcel Klaassen and François Renaud and Beáta Újvári and Frédéric Thomas}, journal = {Evolutionary Applications}, year = {2018}, doi = {10.1111/eva.12608}, }

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