Literature DB >> 33552562

Fractionated follow-up chemotherapy delays the onset of resistance in bone metastatic prostate cancer.

Pranav I Warman1,2, Artem Kaznatcheev3,4, Arturo Araujo2, Conor C Lynch5, David Basanta2.   

Abstract

Prostate cancer to bone metastases are almost always lethal. This results from the ability of metastatic prostate cancer cells to co-opt bone remodeling leading to what is known as the vicious cycle. Understanding how tumor cells can disrupt bone homeostasis through their interactions with the stroma and how metastatic tumors respond to treatment is key to the development of new treatments for what remains an incurable disease. Here we describe an evolutionary game theoretical model of both the homeostatic bone remodeling and its co-option by prostate cancer metastases. This model extends past the evolutionary aspects typically considered in game theoretical models by also including ecological factors such as the physical microenvironment of the bone. Our model recapitulates the current paradigm of the "vicious cycle" driving tumor growth and sheds light on the interactions of heterogeneous tumor cells with the bone microenvironment and treatment response. Our results show that resistant populations naturally become dominant in the metastases under conventional cytotoxic treatment and that novel schedules could be used to better control the tumor and the associated bone disease compared to the current standard of care. Specifically, we introduce fractionated follow up therapy - chemotherapy where dosage is administered initially in one solid block followed by alternating smaller doeses and holidays - and argue that it is better than either a continuous application or a periodic one. Furthermore, we also show that different regimens of chemotherapy can lead to different amounts of pathological bone that are known to correlate with poor quality of life for bone metastatic prostate cancer patients.

Entities:  

Keywords:  chemotherapy; evolutionary game theory; heterogeneity; prostate cancer bone metastasis; resistance

Year:  2018        PMID: 33552562      PMCID: PMC7864372          DOI: 10.3390/g9020019

Source DB:  PubMed          Journal:  Games (Basel)        ISSN: 2073-4336


  25 in total

1.  Modelling the anabolic response of bone using a cell population model.

Authors:  Pascal R Buenzli; Peter Pivonka; Bruce S Gardiner; David W Smith
Journal:  J Theor Biol       Date:  2012-05-08       Impact factor: 2.691

2.  Effective games and the confusion over spatial structure.

Authors:  Artem Kaznatcheev
Journal:  Proc Natl Acad Sci U S A       Date:  2018-02-14       Impact factor: 11.205

3.  Modelling the consequences of interactions between tumour cells.

Authors:  I P Tomlinson; W F Bodmer
Journal:  Br J Cancer       Date:  1997       Impact factor: 7.640

4.  Improving treatment strategies for patients with metastatic castrate resistant prostate cancer through personalized computational modeling.

Authors:  Jill Gallaher; Leah M Cook; Shilpa Gupta; Arturo Araujo; Jasreman Dhillon; Jong Y Park; Jacob G Scott; Julio Pow-Sang; David Basanta; Conor C Lynch
Journal:  Clin Exp Metastasis       Date:  2014-08-31       Impact factor: 5.150

5.  Mathematical modeling of spatio-temporal dynamics of a single bone multicellular unit.

Authors:  Marc D Ryser; Nilima Nigam; Svetlana V Komarova
Journal:  J Bone Miner Res       Date:  2009-05       Impact factor: 6.741

6.  Capitalizing on competition: An evolutionary model of competitive release in metastatic castration resistant prostate cancer treatment.

Authors:  Jeffrey West; Yongqian Ma; Paul K Newton
Journal:  J Theor Biol       Date:  2018-07-23       Impact factor: 2.691

7.  Investigating prostate cancer tumour-stroma interactions: clinical and biological insights from an evolutionary game.

Authors:  D Basanta; J G Scott; M N Fishman; G Ayala; S W Hayward; A R A Anderson
Journal:  Br J Cancer       Date:  2011-12-01       Impact factor: 7.640

8.  Integrating evolutionary dynamics into treatment of metastatic castrate-resistant prostate cancer.

Authors:  Jingsong Zhang; Jessica J Cunningham; Joel S Brown; Robert A Gatenby
Journal:  Nat Commun       Date:  2017-11-28       Impact factor: 14.919

9.  Spatial competition constrains resistance to targeted cancer therapy.

Authors:  Katarina Bacevic; Robert Noble; Ahmed Soffar; Orchid Wael Ammar; Benjamin Boszonyik; Susana Prieto; Charles Vincent; Michael E Hochberg; Liliana Krasinska; Daniel Fisher
Journal:  Nat Commun       Date:  2017-12-08       Impact factor: 14.919

10.  Cancer treatment scheduling and dynamic heterogeneity in social dilemmas of tumour acidity and vasculature.

Authors:  Artem Kaznatcheev; Robert Vander Velde; Jacob G Scott; David Basanta
Journal:  Br J Cancer       Date:  2017-02-09       Impact factor: 7.640

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  3 in total

Review 1.  The Contribution of Evolutionary Game Theory to Understanding and Treating Cancer.

Authors:  Benjamin Wölfl; Hedy Te Rietmole; Monica Salvioli; Artem Kaznatcheev; Frank Thuijsman; Joel S Brown; Boudewijn Burgering; Kateřina Staňková
Journal:  Dyn Games Appl       Date:  2021-08-30       Impact factor: 1.296

2.  IsoMaTrix: a framework to visualize the isoclines of matrix games and quantify uncertainty in structured populations.

Authors:  Jeffrey West; Yongqian Ma; Artem Kaznatcheev; Alexander R A Anderson
Journal:  Bioinformatics       Date:  2020-12-16       Impact factor: 6.937

Review 3.  Clinical Applications of Liquid Biopsy in Prostate Cancer: From Screening to Predictive Biomarker.

Authors:  Filip Ionescu; Jingsong Zhang; Liang Wang
Journal:  Cancers (Basel)       Date:  2022-03-29       Impact factor: 6.575

  3 in total

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