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Cited by 666

The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.

Substantial contribution of extrinsic risk factors to cancer development

Open access
Wu, Song, Powers, Scott, Zhu, Wei, Hannun, Yusuf A.·2016·Nature

Abstract

Recent research has highlighted a strong correlation between tissue-specific cancer risk and the lifetime number of tissue-specific stem-cell divisions. Whether such correlation implies a high unavoidable intrinsic cancer risk has become a key public health debate with the dissemination of the ‘bad luck’ hypothesis. Here we provide evidence that intrinsic risk factors contribute only modestly (less than ~10–30% of lifetime risk) to cancer development. First, we demonstrate that the correlation between stem-cell division and cancer risk does not distinguish between the effects of intrinsic and extrinsic factors. We then show that intrinsic risk is better estimated by the lower bound risk controlling for total stem-cell divisions. Finally, we show that the rates of endogenous mutation accumulation by intrinsic processes are not sufficient to account for the observed cancer risks. Collectively, we conclude that cancer risk is heavily influenced by extrinsic factors. These results are important for strategizing cancer prevention, research and public health.

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Metadata

Authors
Wu, S., Powers, S., Zhu, W., & Hannun, Y. A.
Venue
Nature
Published
2015-12-16
Volume
529
Issue
7584
Pages
43-47
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
OpenAlex
W2210259689
Cited by
666
References
30
FWCI
25.61
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Substantial contribution of extrinsic risk factors to cancer development. https://app.cochat.ai/papers/10.1038/nature16166
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Wu, S., Powers, S., Zhu, W., & Hannun, Y. A. (2016). Substantial contribution of extrinsic risk factors to cancer development. Nature. https://doi.org/10.1038/nature16166

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.