ePrints@IIScePrints@IISc Home | About | Browse | Latest Additions | Advanced Search | Contact | Help

A resource-based mechanistic framework for castration-resistant prostate cancer (CRPC)

Vibishan, B and Harshavardhan, BV and Dey, S (2024) A resource-based mechanistic framework for castration-resistant prostate cancer (CRPC). In: Journal of Theoretical Biology, 587 .

[img]
Preview
PDF
jou_the_bio_587_2024.pdf - Published Version

Download (1MB) | Preview
Official URL: https://doi.org/10.1016/j.jtbi.2024.111806

Abstract

Cancer therapy often leads to the selective elimination of drug-sensitive cells from the tumour. This can favour the growth of cells resistant to the therapeutic agent, ultimately causing a tumour relapse. Castration-resistant prostate cancer (CRPC) is a well-characterised instance of this phenomenon. In CRPC, after systemic androgen deprivation therapy (ADT), a subset of drug-resistant cancer cells autonomously produce testosterone, thus enabling tumour regrowth. A previous theoretical study has shown that such a tumour relapse can be delayed by inhibiting the growth of drug-resistant cells using biotic competition from drug-sensitive cells. In this context, the centrality of resource dynamics to intra-tumour competition in the CRPC system indicates clear scope for the construction of theoretical models that can explicitly incorporate the underlying mechanisms of tumour ecology. In the current study, we use a modified logistic framework to model cell�cell interactions in terms of the production and consumption of resources. Our results show that steady state composition of CRPC can be understood as a composite function of the availability and utilisation efficiency of two resources-oxygen and testosterone. In particular, we show that the effect of changing resource availability or use efficiency is conditioned by their general abundance regimes. Testosterone typically functions in trace amounts and thus affects steady state behaviour of the CRPC system differently from oxygen, which is usually available at higher levels. Our data thus indicate that explicit consideration of resource dynamics can produce novel and useful mechanistic understanding of CRPC. Furthermore, such a modelling approach also incorporates variables into the system's description that can be directly measured in a clinical context. This is therefore a promising avenue of research in cancer ecology that could lead to therapeutic approaches that are more clearly rooted in the biology of CRPC. © 2024 Elsevier Ltd

Item Type: Journal Article
Publication: Journal of Theoretical Biology
Publisher: Academic Press
Additional Information: The copyright for this article belongs to Academic Press.
Keywords: testosterone, cancer; cell; community composition; concentration (composition); testosterone; tumor, algorithm; Article; castration resistant prostate cancer; cell interaction; community dynamics; human; mortality rate; oxygen supply; population size; prediction; steady state; stoichiometry; testosterone synthesis
Department/Centre: Division of Interdisciplinary Sciences > Interdisciplinary Mathematical Sciences
Date Deposited: 08 Jul 2024 07:27
Last Modified: 08 Jul 2024 07:27
URI: http://eprints.iisc.ac.in/id/eprint/84745

Actions (login required)

View Item View Item