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In a meta-analysis published by myself and co-authors, we report differences in the life history risk factors for estrogen receptor negative (ER−) and estrogen receptor positive (ER+) breast cancers. Our meta-analysis did not find the association of ER− breast cancer

In a meta-analysis published by myself and co-authors, we report differences in the life history risk factors for estrogen receptor negative (ER−) and estrogen receptor positive (ER+) breast cancers. Our meta-analysis did not find the association of ER− breast cancer risk with fast life history characteristics that Hidaka and Boddy suggest in their response to our article. There are a number of possible explanations for the differences between their conclusions and the conclusions we drew from our meta-analysis, including limitations of our meta-analysis and methodological challenges in measuring and categorizing estrogen receptor status. These challenges, along with the association of ER+ breast cancer with slow life history characteristics, may make it challenging to find a clear signal of ER− breast cancer with fast life history characteristics, even if that relationship does exist. The contradictory results regarding breast cancer risk and life history characteristics illustrate a more general challenge in evolutionary medicine: often different sub-theories in evolutionary biology make contradictory predictions about disease risk. In this case, life history models predict that breast cancer risk should increase with faster life history characteristics, while the evolutionary mismatch hypothesis predicts that breast cancer risk should increase with delayed reproduction. Whether life history tradeoffs contribute to ER− breast cancer is still an open question, but current models and several lines of evidence suggest that it is a possibility.

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    Title
    • Life History Theory and Breast Cancer Risk: Methodological and Theoretical Challenges: Response to “Is Estrogen Receptor Negative Breast Cancer Risk Associated With a Fast Life History Strategy?”
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    Date Created
    2016-05-21
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  • Text
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    Identifier
    • Digital object identifier: 10.1093/emph/eov035
    • Identifier Type
      International standard serial number
      Identifier Value
      2050-6201
    Note
    • The final version of this article, as published in Evolution, Medicine, and Public Health, can be viewed online at: https://academic.oup.com/emph/article-lookup/doi/10.1093/emph/eov035

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    This is a suggested citation. Consult the appropriate style guide for specific citation guidelines.

    Aktipis, A. (2016). Life history theory and breast cancer risk: methodological and theoretical challenges. Evolution, Medicine, and Public Health, 2016(1), 177-179. doi:10.1093/emph/eov035

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