IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0155050.html
   My bibliography  Save this article

Anti-Tumor Effects of Ketogenic Diets in Mice: A Meta-Analysis

Author

Listed:
  • Rainer J Klement
  • Colin E Champ
  • Christoph Otto
  • Ulrike Kämmerer

Abstract

Background: Currently ketogenic diets (KDs) are hyped as an anti-tumor intervention aimed at exploiting the metabolic abnormalities of cancer cells. However, while data in humans is sparse, translation of murine tumor models to the clinic is further hampered by small sample sizes, heterogeneous settings and mixed results concerning tumor growth retardation. The aim was therefore to synthesize the evidence for a growth inhibiting effect of KDs when used as a monotherapy in mice. Methods: We conducted a Bayesian random effects meta-analysis on all studies assessing the survival (defined as the time to reach a pre-defined endpoint such as tumor volume) of mice on an unrestricted KD compared to a high carbohydrate standard diet (SD). For 12 studies meeting the inclusion criteria either a mean survival time ratio (MR) or hazard ratio (HR) between the KD and SD groups could be obtained. The posterior estimates for the MR and HR averaged over four priors on the between-study heterogeneity τ2 were MR = 0.85 (95% highest posterior density interval (HPDI) = [0.73, 0.97]) and HR = 0.55 (95% HPDI = [0.26, 0.87]), indicating a significant overall benefit of the KD in terms of prolonged mean survival times and reduced hazard rate. All studies that used a brain tumor model also chose a late starting point for the KD (at least one day after tumor initiation) which accounted for 26% of the heterogeneity. In this subgroup the KD was less effective (MR = 0.89, 95% HPDI = [0.76, 1.04]). Conclusions: There was an overall tumor growth delaying effect of unrestricted KDs in mice. Future experiments should aim at differentiating the effects of KD timing versus tumor location, since external evidence is currently consistent with an influence of both of these factors.

Suggested Citation

  • Rainer J Klement & Colin E Champ & Christoph Otto & Ulrike Kämmerer, 2016. "Anti-Tumor Effects of Ketogenic Diets in Mice: A Meta-Analysis," PLOS ONE, Public Library of Science, vol. 11(5), pages 1-16, May.
  • Handle: RePEc:plo:pone00:0155050
    DOI: 10.1371/journal.pone.0155050
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0155050
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0155050&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0155050?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Julian P. T. Higgins & Simon G. Thompson & David J. Spiegelhalter, 2009. "A re-evaluation of random-effects meta-analysis," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 172(1), pages 137-159.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Janne Purhonen & Rishi Banerjee & Vilma Wanne & Nina Sipari & Matthias Mörgelin & Vineta Fellman & Jukka Kallijärvi, 2023. "Mitochondrial complex III deficiency drives c-MYC overexpression and illicit cell cycle entry leading to senescence and segmental progeria," Nature Communications, Nature, vol. 14(1), pages 1-23, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yeojin Chung & Sophia Rabe-Hesketh & Vincent Dorie & Andrew Gelman & Jingchen Liu, 2013. "A Nondegenerate Penalized Likelihood Estimator for Variance Parameters in Multilevel Models," Psychometrika, Springer;The Psychometric Society, vol. 78(4), pages 685-709, October.
    2. Sofia Dias & Alex J. Sutton & Nicky J. Welton & A. E. Ades, 2013. "Evidence Synthesis for Decision Making 3," Medical Decision Making, , vol. 33(5), pages 618-640, July.
    3. Amanda Kvarven & Eirik Strømland & Conny Wollbrant & David Andersson & Magnus Johannesson & Gustav Tinghög & Daniel Västfjäll & Kristian Ove R. Myrseth, 2020. "The intuitive cooperation hypothesis revisited: a meta-analytic examination of effect size and between-study heterogeneity," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 6(1), pages 26-42, June.
    4. Nelson, Jon Paul, 2020. "Fixed-effect versus random-effects meta-analysis in economics: A study of pass-through rates for alcohol beverage excise taxes," Economics Discussion Papers 2020-1, Kiel Institute for the World Economy (IfW Kiel).
    5. Ibrahim Y. Tawbe, 2023. "Environmental disclosure programs and birth weight: a meta- analysis," Working Papers 2023-02, CRESE.
    6. Alberto Aiolfi & Emanuele Asti & Emanuele Rausa & Giulia Bonavina & Gianluca Bonitta & Luigi Bonavina, 2018. "Use of C-reactive protein for the early prediction of anastomotic leak after esophagectomy: Systematic review and Bayesian meta-analysis," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-13, December.
    7. Shijie Ren & Jeremy E. Oakley & John W. Stevens, 2018. "Incorporating Genuine Prior Information about Between-Study Heterogeneity in Random Effects Pairwise and Network Meta-analyses," Medical Decision Making, , vol. 38(4), pages 531-542, May.
    8. Ajaree Rayanakorn & Hooi-Leng Ser & Priyia Pusparajah & Kok-Gan Chan & Bey Hing Goh & Tahir Mehmood Khan & Surasak Saokaew & Shaun Wen Huey Lee & Learn-Han Lee, 2020. "Comparative efficacy of antibiotic(s) alone or in combination of corticosteroids in adults with acute bacterial meningitis: A systematic review and network meta-analysis," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-17, May.
    9. Tomáš Havránek, 2009. "Rose Effect and the Euro: The Magic is Gone," Working Papers IES 2009/20, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Aug 2009.
    10. Ratko Peric & Zoran Nikolovski & Marco Meucci & Philippe Tadger & Carlo Ferri Marini & Francisco José Amaro-Gahete, 2022. "A Systematic Review and Meta-Analysis on the Association and Differences between Aerobic Threshold and Point of Optimal Fat Oxidation," IJERPH, MDPI, vol. 19(11), pages 1-19, May.
    11. Cebiroglu, Gökhan & Hautsch, Nikolaus & Walsh, Christopher, 2019. "Revisiting the stealth trading hypothesis: Does time-varying liquidity explain the size-effect?," CFS Working Paper Series 625, Center for Financial Studies (CFS).
    12. Richard A Hubner & Richard D Riley & Lucinda J Billingham & Sanjay Popat, 2011. "Excision Repair Cross-Complementation Group 1 (ERCC1) Status and Lung Cancer Outcomes: A Meta-Analysis of Published Studies and Recommendations," PLOS ONE, Public Library of Science, vol. 6(10), pages 1-10, October.
    13. Schmidli, Heinz & Neuenschwander, Beat & Friede, Tim, 2017. "Meta-analytic-predictive use of historical variance data for the design and analysis of clinical trials," Computational Statistics & Data Analysis, Elsevier, vol. 113(C), pages 100-110.
    14. Anna Chaimani & Julian P T Higgins & Dimitris Mavridis & Panagiota Spyridonos & Georgia Salanti, 2013. "Graphical Tools for Network Meta-Analysis in STATA," PLOS ONE, Public Library of Science, vol. 8(10), pages 1-12, October.
    15. Layan Sukik & Maryam Alyafei & Manale Harfouche & Laith J Abu-Raddad, 2019. "Herpes simplex virus type 1 epidemiology in Latin America and the Caribbean: Systematic review and meta-analytics," PLOS ONE, Public Library of Science, vol. 14(4), pages 1-20, April.
    16. Vladislav Morozov, 2022. "Inference on Extreme Quantiles of Unobserved Individual Heterogeneity," Papers 2210.08524, arXiv.org, revised Jun 2023.
    17. Trood, Michael D. & Spivak, Benjamin L. & Ogloff, James R.P., 2021. "A systematic review and meta-analysis of the effects of judicial supervision on recidivism and well-being factors of criminal offenders," Journal of Criminal Justice, Elsevier, vol. 74(C).
    18. Amel Adel & Dirk Berkvens & Emmanuel Abatih & Abdelkrim Soukehal & Juana Bianchini & Claude Saegerman, 2016. "Evaluation of Immunofluorescence Antibody Test Used for the Diagnosis of Canine Leishmaniasis in the Mediterranean Basin: A Systematic Review and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 11(8), pages 1-16, August.
    19. Peter Morfeld & Kenneth A. Mundt & Linda D. Dell & Tom Sorahan & Robert J. McCunney, 2016. "Meta-Analysis of Cardiac Mortality in Three Cohorts of Carbon Black Production Workers," IJERPH, MDPI, vol. 13(3), pages 1-29, March.
    20. Adam Bystrzycki & Yesul Kim & Mark Fitzgerald & Lorena Romero & Steven Clare, 2018. "Heads-Up-Displays (HUDs) and their Impact on Cognitive Load during Task Performance - A Protocol for Systematic Review," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 2(3), pages 2701-2704, February.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0155050. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.