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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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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. |
format | Online Article Text |
id | pubmed-5524923 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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