Untangling the model muddle: Empirical tumour growth in Tasmanian devil facial tumour disease

Abstract A pressing and unresolved topic in cancer research is how tumours grow in the absence of treatment. Despite advances in cancer biology, therapeutic and diagnostic technologies, there is limited knowledge regarding the fundamental growth and developmental patterns in solid tumours. In this t...

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Autores principales:	Rodrigo K. Hamede, Nicholas J. Beeton, Scott Carver, Menna E. Jones
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/a845e5780efd4b84aa52025eae6d10df
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spelling	oai:doaj.org-article:a845e5780efd4b84aa52025eae6d10df2021-12-02T16:08:19ZUntangling the model muddle: Empirical tumour growth in Tasmanian devil facial tumour disease10.1038/s41598-017-06166-32045-2322https://doaj.org/article/a845e5780efd4b84aa52025eae6d10df2017-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-06166-3https://doaj.org/toc/2045-2322Abstract A pressing and unresolved topic in cancer research is how tumours grow in the absence of treatment. Despite advances in cancer biology, therapeutic and diagnostic technologies, there is limited knowledge regarding the fundamental growth and developmental patterns in solid tumours. In this ten year study, we estimated growth curves in Tasmanian devil facial tumours, a clonal transmissible cancer, in males and females with two different karyotypes (diploid, tetraploid) and facial locations (mucosal, dermal), using established differential equation models and model selection. Logistic growth was the most parsimonious model for diploid, tetraploid and mucosal tumours, with less model certainty for dermal tumours. Estimates of daily proportional tumour growth rate per day (95% Bayesian CIs) varied with ploidy and location [diploid 0.016 (0.014–0.020), tetraploid 0.026 (0.020–0.033), mucosal 0.013 (0.011–0.015), dermal 0.020 (0.016–0.024)]. Final tumour size (cm3) also varied, particularly the upper credible interval owing to host mortality as tumours approached maximum volume [diploid 364 (136–2,475), tetraploid 172 (100–305), dermal 226 (134–471)]. To our knowledge, these are the first empirical estimates of tumour growth in the absence of treatment in a wild population. Through this animal-cancer system our findings may enhance understanding of how tumour properties interact with growth dynamics in other types of cancer.Rodrigo K. HamedeNicholas J. BeetonScott CarverMenna E. JonesNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-7 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Rodrigo K. Hamede Nicholas J. Beeton Scott Carver Menna E. Jones Untangling the model muddle: Empirical tumour growth in Tasmanian devil facial tumour disease
description	Abstract A pressing and unresolved topic in cancer research is how tumours grow in the absence of treatment. Despite advances in cancer biology, therapeutic and diagnostic technologies, there is limited knowledge regarding the fundamental growth and developmental patterns in solid tumours. In this ten year study, we estimated growth curves in Tasmanian devil facial tumours, a clonal transmissible cancer, in males and females with two different karyotypes (diploid, tetraploid) and facial locations (mucosal, dermal), using established differential equation models and model selection. Logistic growth was the most parsimonious model for diploid, tetraploid and mucosal tumours, with less model certainty for dermal tumours. Estimates of daily proportional tumour growth rate per day (95% Bayesian CIs) varied with ploidy and location [diploid 0.016 (0.014–0.020), tetraploid 0.026 (0.020–0.033), mucosal 0.013 (0.011–0.015), dermal 0.020 (0.016–0.024)]. Final tumour size (cm3) also varied, particularly the upper credible interval owing to host mortality as tumours approached maximum volume [diploid 364 (136–2,475), tetraploid 172 (100–305), dermal 226 (134–471)]. To our knowledge, these are the first empirical estimates of tumour growth in the absence of treatment in a wild population. Through this animal-cancer system our findings may enhance understanding of how tumour properties interact with growth dynamics in other types of cancer.
format	article
author	Rodrigo K. Hamede Nicholas J. Beeton Scott Carver Menna E. Jones
author_facet	Rodrigo K. Hamede Nicholas J. Beeton Scott Carver Menna E. Jones
author_sort	Rodrigo K. Hamede
title	Untangling the model muddle: Empirical tumour growth in Tasmanian devil facial tumour disease
title_short	Untangling the model muddle: Empirical tumour growth in Tasmanian devil facial tumour disease
title_full	Untangling the model muddle: Empirical tumour growth in Tasmanian devil facial tumour disease
title_fullStr	Untangling the model muddle: Empirical tumour growth in Tasmanian devil facial tumour disease
title_full_unstemmed	Untangling the model muddle: Empirical tumour growth in Tasmanian devil facial tumour disease
title_sort	untangling the model muddle: empirical tumour growth in tasmanian devil facial tumour disease
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/a845e5780efd4b84aa52025eae6d10df
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Untangling the model muddle: Empirical tumour growth in Tasmanian devil facial tumour disease

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