Details der Publikation - Investigating the Influence of Growth Arrest Mechanisms on Tumour Responses to Radiotherapy

Investigating the Influence of Growth Arrest Mechanisms on Tumour Responses to Radiotherapy

Abstract Cancer is a heterogeneous disease and tumours of the same type can differ greatly at the genetic and phenotypic levels. Understanding how these differences impact sensitivity to treatment is an essential step towards patient-specific treatment design. In this paper, we investigate how two different mechanisms for growth control may affect tumour cell responses to fractionated radiotherapy (RT) by extending an existing ordinary differential equation model of tumour growth. In the absence of treatment, this model distinguishes between growth arrest due to nutrient insufficiency and competition for space and exhibits three growth regimes: nutrient limited, space limited (SL) and bistable (BS), where both mechanisms for growth arrest coexist. We study the effect of RT for tumours in each regime, finding that tumours in the SL regime typically respond best to RT, while tumours in the BS regime typically respond worst to RT. For tumours in each regime, we also identify the biological processes that may explain positive and negative treatment outcomes and the dosing regimen which maximises the reduction in tumour burden..

Medienart:	E-Artikel

Erscheinungsjahr:	2023
Erschienen:	2023

Enthalten in:	Zur Gesamtaufnahme - volume:85
Enthalten in:	Bulletin of mathematical biology - 85(2023), 8 vom: 28. Juni

Sprache:	Englisch

Beteiligte Personen:	Colson, Chloé [VerfasserIn] Maini, Philip K. [VerfasserIn] Byrne, Helen M. [VerfasserIn]

Links:	Volltext [kostenfrei]

BKL:	42.11$jBiomathematik$jBiokybernetik 44.00$jMedizin: Allgemeines
Themen:	Fractionated radiotherapy Growth-limiting mechanisms Heterogeneity Ordinary differential equations

RVK:	RVK Klassifikation ELIB23 ELIB24

Anmerkungen:	© The Author(s) 2023

doi:	10.1007/s11538-023-01171-2

funding:
Förderinstitution / Projekttitel:

PPN (Katalog-ID):	OLC2144195528

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520			\|a Abstract Cancer is a heterogeneous disease and tumours of the same type can differ greatly at the genetic and phenotypic levels. Understanding how these differences impact sensitivity to treatment is an essential step towards patient-specific treatment design. In this paper, we investigate how two different mechanisms for growth control may affect tumour cell responses to fractionated radiotherapy (RT) by extending an existing ordinary differential equation model of tumour growth. In the absence of treatment, this model distinguishes between growth arrest due to nutrient insufficiency and competition for space and exhibits three growth regimes: nutrient limited, space limited (SL) and bistable (BS), where both mechanisms for growth arrest coexist. We study the effect of RT for tumours in each regime, finding that tumours in the SL regime typically respond best to RT, while tumours in the BS regime typically respond worst to RT. For tumours in each regime, we also identify the biological processes that may explain positive and negative treatment outcomes and the dosing regimen which maximises the reduction in tumour burden.
650		4	\|a Fractionated radiotherapy
650		4	\|a Heterogeneity
650		4	\|a Growth-limiting mechanisms
650		4	\|a Ordinary differential equations
700	1		\|a Maini, Philip K. \|4 aut
700	1		\|a Byrne, Helen M. \|4 aut
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Investigating the Influence of Growth Arrest Mechanisms on Tumour Responses to Radiotherapy

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