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Cited by 395

The DOI matches its Crossref record; 188 of the 188 references it cites were found in a registry or an index.

Evolutionary Determinants of Cancer

Open access
Greaves, Mel·2015·Cancer Discovery

Abstract

Our understanding of cancer is being transformed by exploring clonal diversity, drug resistance, and causation within an evolutionary framework. The therapeutic resilience of advanced cancer is a consequence of its character as a complex, dynamic, and adaptive ecosystem engendering robustness, underpinned by genetic diversity and epigenetic plasticity. The risk of mutation-driven escape by self-renewing cells is intrinsic to multicellularity but is countered by multiple restraints, facilitating increasing complexity and longevity of species. But our own species has disrupted this historical narrative by rapidly escalating intrinsic risk. Evolutionary principles illuminate these challenges and provide new avenues to explore for more effective control. Significance: Lifetime risk of cancer now approximates to 50% in Western societies. And, despite many advances, the outcome for patients with disseminated disease remains poor, with drug resistance the norm. An evolutionary perspective may provide a clearer understanding of how cancer clones develop robustness and why, for us as a species, risk is now off the scale. And, perhaps, of what we might best do to achieve more effective control. Cancer Discov; 5(8); 806–20. ©2015 AACR.

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Metadata

Authors
Greaves, M.
Venue
Cancer Discovery
Published
2015-08-01
Volume
5
Issue
8
Pages
806-820
ISSN
  • 2159-8274 (ISSN-L)
  • 2159-8290
OpenAlex
W2137549067
Cited by
395
References
188
FWCI
11.48
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Evolutionary Determinants of Cancer. https://app.cochat.ai/papers/10.1158/2159-8290.cd-15-0439
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Greaves, M. (2015). Evolutionary Determinants of Cancer. Cancer Discovery. https://doi.org/10.1158/2159-8290.cd-15-0439

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.