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

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 s...

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Autores principales: Hamede, Rodrigo K., Beeton, Nicholas J., Carver, Scott, Jones, Menna E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5524923/
https://www.ncbi.nlm.nih.gov/pubmed/28740255
http://dx.doi.org/10.1038/s41598-017-06166-3
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author Hamede, Rodrigo K.
Beeton, Nicholas J.
Carver, Scott
Jones, Menna E.
author_facet Hamede, Rodrigo K.
Beeton, Nicholas J.
Carver, Scott
Jones, Menna E.
author_sort Hamede, Rodrigo K.
collection PubMed
description 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 (cm(3)) 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.
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spelling pubmed-55249232017-07-26 Untangling the model muddle: Empirical tumour growth in Tasmanian devil facial tumour disease Hamede, Rodrigo K. Beeton, Nicholas J. Carver, Scott Jones, Menna E. Sci Rep Article 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 (cm(3)) 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. Nature Publishing Group UK 2017-07-24 /pmc/articles/PMC5524923/ /pubmed/28740255 http://dx.doi.org/10.1038/s41598-017-06166-3 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Hamede, Rodrigo K.
Beeton, Nicholas J.
Carver, Scott
Jones, Menna E.
Untangling the model muddle: Empirical tumour growth in Tasmanian devil facial tumour disease
title 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_short 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
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5524923/
https://www.ncbi.nlm.nih.gov/pubmed/28740255
http://dx.doi.org/10.1038/s41598-017-06166-3
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