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Can Peto’s paradox be used as the null hypothesis to identify the role of evolution in natural resistance to cancer? A critical review

Overview of attention for article published in BMC Cancer, October 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
2 X users

Citations

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19 Dimensions

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55 Mendeley
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Title
Can Peto’s paradox be used as the null hypothesis to identify the role of evolution in natural resistance to cancer? A critical review
Published in
BMC Cancer, October 2015
DOI 10.1186/s12885-015-1782-z
Pubmed ID
Authors

Hugo Ducasse, Beata Ujvari, Eric Solary, Marion Vittecoq, Audrey Arnal, Florence Bernex, Nelly Pirot, Dorothée Misse, François Bonhomme, François Renaud, Frédéric Thomas, Benjamin Roche

Abstract

Carcinogenesis affects not only humans but almost all metazoan species. Understanding the rules driving the occurrence of cancers in the wild is currently expected to provide crucial insights into identifying how some species may have evolved efficient cancer resistance mechanisms. Recently the absence of correlation across species between cancer prevalence and body size (coined as Peto's paradox) has attracted a lot of attention. Indeed, the disparity between this null hypothesis, where every cell is assumed to have an identical probability to undergo malignant transformation, and empirical observations is particularly important to understand, due to the fact that it could facilitate the identification of animal species that are more resistant to carcinogenesis than expected. Moreover it would open up ways to identify the selective pressures that may be involved in cancer resistance. However, Peto's paradox relies on several questionable assumptions, complicating the interpretation of the divergence between expected and observed cancer incidences. Here we review and challenge the different hypotheses on which this paradox relies on with the aim of identifying how this null hypothesis could be better estimated in order to provide a standard protocol to study the deviation between theoretical/theoretically predicted and observed cancer incidence. We show that due to the disproportion and restricted nature of available data on animal cancers, applying Peto's hypotheses at species level could result in erroneous conclusions, and actually assume the existence of a paradox. Instead of using species level comparisons, we propose an organ level approach to be a more accurate test of Peto's assumptions. The accuracy of Peto's paradox assumptions are rarely valid and/or quantifiable, suggesting the need to reconsider the use of Peto's paradox as a null hypothesis in identifying the influence of natural selection on cancer resistance mechanisms.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 2%
France 1 2%
Unknown 53 96%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 13 24%
Student > Ph. D. Student 9 16%
Researcher 8 15%
Student > Master 6 11%
Professor 4 7%
Other 10 18%
Unknown 5 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 36%
Biochemistry, Genetics and Molecular Biology 13 24%
Medicine and Dentistry 5 9%
Environmental Science 2 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 5 9%
Unknown 9 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 August 2016.
All research outputs
#2,138,358
of 23,577,654 outputs
Outputs from BMC Cancer
#362
of 8,530 outputs
Outputs of similar age
#31,715
of 285,200 outputs
Outputs of similar age from BMC Cancer
#13
of 226 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,530 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done particularly well, scoring higher than 95% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 285,200 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 226 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.