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Convergence and Technologies

Turnover Modulates the Need for a Cost of Resistance in Adaptive Therapy

Maximilian A.R. Strobl, Jeffrey West, Yannick Viossat, Mehdi Damaghi, Mark Robertson-Tessi, Joel S. Brown, Robert A. Gatenby, Philip K. Maini and Alexander R.A. Anderson
Maximilian A.R. Strobl
1Department of Integrated Mathematical Oncology, H. Lee Moffitt Cancer Center, Tampa, Florida.
2Wolfson Centre for Mathematical Biology, University of Oxford, Oxford, Oxfordshire, United Kingdom.
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  • ORCID record for Maximilian A.R. Strobl
  • For correspondence: maximilian.strobl@gmail.com alexander.anderson@moffitt.org
Jeffrey West
1Department of Integrated Mathematical Oncology, H. Lee Moffitt Cancer Center, Tampa, Florida.
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Yannick Viossat
3Ceremade, Université Paris-Dauphine, Université PSL, Paris, France.
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Mehdi Damaghi
4Department of Cancer Physiology, H. Lee Moffitt Cancer Center, Tampa, Florida.
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Mark Robertson-Tessi
1Department of Integrated Mathematical Oncology, H. Lee Moffitt Cancer Center, Tampa, Florida.
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Joel S. Brown
1Department of Integrated Mathematical Oncology, H. Lee Moffitt Cancer Center, Tampa, Florida.
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Robert A. Gatenby
1Department of Integrated Mathematical Oncology, H. Lee Moffitt Cancer Center, Tampa, Florida.
5Cancer Biology and Evolution Program, H. Lee Moffitt Cancer Center, Tampa, Florida.
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Philip K. Maini
2Wolfson Centre for Mathematical Biology, University of Oxford, Oxford, Oxfordshire, United Kingdom.
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Alexander R.A. Anderson
1Department of Integrated Mathematical Oncology, H. Lee Moffitt Cancer Center, Tampa, Florida.
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  • For correspondence: maximilian.strobl@gmail.com alexander.anderson@moffitt.org
DOI: 10.1158/0008-5472.CAN-20-0806 Published February 2021
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Abstract

Adaptive therapy seeks to exploit intratumoral competition to avoid, or at least delay, the emergence of therapy resistance in cancer. Motivated by promising results in prostate cancer, there is growing interest in extending this approach to other neoplasms. As such, it is urgent to understand the characteristics of a cancer that determine whether or not it will respond well to adaptive therapy. A plausible candidate for such a selection criterion is the fitness cost of resistance. In this article, we study a general, but simple, mathematical model to investigate whether the presence of a cost is necessary for adaptive therapy to extend the time to progression beyond that of a standard-of-care continuous therapy. Tumor cells were divided into sensitive and resistant populations and we model their competition using a system of two ordinary differential equations based on the Lotka–Volterra model. For tumors close to their environmental carrying capacity, a cost was not required. However, for tumors growing far from carrying capacity, a cost may be required to see meaningful gains. Notably, it is important to consider cell turnover in the tumor, and we discuss its role in modulating the impact of a resistance cost. To conclude, we present evidence for the predicted cost–turnover interplay in data from 67 patients with prostate cancer undergoing intermittent androgen deprivation therapy. Our work helps to clarify under which circumstances adaptive therapy may be beneficial and suggests that turnover may play an unexpectedly important role in the decision-making process.

Significance: Tumor cell turnover modulates the speed of selection against drug resistance by amplifying the effects of competition and resistance costs; as such, turnover is an important factor in resistance management via adaptive therapy.

See related commentary by Strobl et al., p. 811

Footnotes

  • Note: Supplementary data for this article are available at Cancer Research Online (http://cancerres.aacrjournals.org/).

  • Cancer Res 2021;81:1135–47

  • Received March 13, 2020.
  • Revision received August 6, 2020.
  • Accepted November 6, 2020.
  • Published first November 10, 2020.
  • ©2020 American Association for Cancer Research.
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Cancer Research: 81 (4)
February 2021
Volume 81, Issue 4
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Turnover Modulates the Need for a Cost of Resistance in Adaptive Therapy
Maximilian A.R. Strobl, Jeffrey West, Yannick Viossat, Mehdi Damaghi, Mark Robertson-Tessi, Joel S. Brown, Robert A. Gatenby, Philip K. Maini and Alexander R.A. Anderson
Cancer Res February 15 2021 (81) (4) 1135-1147; DOI: 10.1158/0008-5472.CAN-20-0806

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Turnover Modulates the Need for a Cost of Resistance in Adaptive Therapy
Maximilian A.R. Strobl, Jeffrey West, Yannick Viossat, Mehdi Damaghi, Mark Robertson-Tessi, Joel S. Brown, Robert A. Gatenby, Philip K. Maini and Alexander R.A. Anderson
Cancer Res February 15 2021 (81) (4) 1135-1147; DOI: 10.1158/0008-5472.CAN-20-0806
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