Cargando…
The initial engraftment of tumor cells is critical for the future growth pattern: a mathematical study based on simulations and animal experiments
BACKGROUND: Xenograft mouse tumor models are used to study mechanisms of tumor growth and metastasis formation and to investigate the efficacy of different therapeutic interventions. After injection the engrafted cells form a local tumor nodule. Following an initial lag period of several days, the s...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7275472/ https://www.ncbi.nlm.nih.gov/pubmed/32503458 http://dx.doi.org/10.1186/s12885-020-07015-9 |
_version_ | 1783542791212630016 |
---|---|
author | Hoffmann, Bertin Lange, Tobias Labitzky, Vera Riecken, Kristoffer Wree, Andreas Schumacher, Udo Wedemann, Gero |
author_facet | Hoffmann, Bertin Lange, Tobias Labitzky, Vera Riecken, Kristoffer Wree, Andreas Schumacher, Udo Wedemann, Gero |
author_sort | Hoffmann, Bertin |
collection | PubMed |
description | BACKGROUND: Xenograft mouse tumor models are used to study mechanisms of tumor growth and metastasis formation and to investigate the efficacy of different therapeutic interventions. After injection the engrafted cells form a local tumor nodule. Following an initial lag period of several days, the size of the tumor is measured periodically throughout the experiment using calipers. This method of determining tumor size is error prone because the measurement is two-dimensional (calipers do not measure tumor depth). Primary tumor growth can be described mathematically by suitable growth functions, the choice of which is not always obvious. Growth parameters provide information on tumor growth and are determined by applying nonlinear curve fitting. METHODS: We used self-generated synthetic data including random measurement errors to research the accuracy of parameter estimation based on caliper measured tumor data. Fit metrics were investigated to identify the most appropriate growth function for a given synthetic dataset. We studied the effects of measuring tumor size at different frequencies on the accuracy and precision of the estimated parameters. For curve fitting with fixed initial tumor volume, we varied this fixed initial volume during the fitting process to investigate the effect on the resulting estimated parameters. We determined the number of surviving engrafted tumor cells after injection using ex vivo bioluminescence imaging, to demonstrate the effect on experiments of incorrect assumptions about the initial tumor volume. RESULTS: To select a suitable growth function, measurement data from at least 15 animals should be considered. Tumor volume should be measured at least every three days to estimate accurate growth parameters. Daily measurement of the tumor volume is the most accurate way to improve long-term predictability of tumor growth. The initial tumor volume needs to have a fixed value in order to achieve meaningful results. An incorrect value for the initial tumor volume leads to large deviations in the resulting growth parameters. CONCLUSIONS: The actual number of cancer cells engrafting directly after subcutaneous injection is critical for future tumor growth and distinctly influences the parameters for tumor growth determined by curve fitting. |
format | Online Article Text |
id | pubmed-7275472 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-72754722020-06-08 The initial engraftment of tumor cells is critical for the future growth pattern: a mathematical study based on simulations and animal experiments Hoffmann, Bertin Lange, Tobias Labitzky, Vera Riecken, Kristoffer Wree, Andreas Schumacher, Udo Wedemann, Gero BMC Cancer Research Article BACKGROUND: Xenograft mouse tumor models are used to study mechanisms of tumor growth and metastasis formation and to investigate the efficacy of different therapeutic interventions. After injection the engrafted cells form a local tumor nodule. Following an initial lag period of several days, the size of the tumor is measured periodically throughout the experiment using calipers. This method of determining tumor size is error prone because the measurement is two-dimensional (calipers do not measure tumor depth). Primary tumor growth can be described mathematically by suitable growth functions, the choice of which is not always obvious. Growth parameters provide information on tumor growth and are determined by applying nonlinear curve fitting. METHODS: We used self-generated synthetic data including random measurement errors to research the accuracy of parameter estimation based on caliper measured tumor data. Fit metrics were investigated to identify the most appropriate growth function for a given synthetic dataset. We studied the effects of measuring tumor size at different frequencies on the accuracy and precision of the estimated parameters. For curve fitting with fixed initial tumor volume, we varied this fixed initial volume during the fitting process to investigate the effect on the resulting estimated parameters. We determined the number of surviving engrafted tumor cells after injection using ex vivo bioluminescence imaging, to demonstrate the effect on experiments of incorrect assumptions about the initial tumor volume. RESULTS: To select a suitable growth function, measurement data from at least 15 animals should be considered. Tumor volume should be measured at least every three days to estimate accurate growth parameters. Daily measurement of the tumor volume is the most accurate way to improve long-term predictability of tumor growth. The initial tumor volume needs to have a fixed value in order to achieve meaningful results. An incorrect value for the initial tumor volume leads to large deviations in the resulting growth parameters. CONCLUSIONS: The actual number of cancer cells engrafting directly after subcutaneous injection is critical for future tumor growth and distinctly influences the parameters for tumor growth determined by curve fitting. BioMed Central 2020-06-05 /pmc/articles/PMC7275472/ /pubmed/32503458 http://dx.doi.org/10.1186/s12885-020-07015-9 Text en © The Author(s) 2020 Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Hoffmann, Bertin Lange, Tobias Labitzky, Vera Riecken, Kristoffer Wree, Andreas Schumacher, Udo Wedemann, Gero The initial engraftment of tumor cells is critical for the future growth pattern: a mathematical study based on simulations and animal experiments |
title | The initial engraftment of tumor cells is critical for the future growth pattern: a mathematical study based on simulations and animal experiments |
title_full | The initial engraftment of tumor cells is critical for the future growth pattern: a mathematical study based on simulations and animal experiments |
title_fullStr | The initial engraftment of tumor cells is critical for the future growth pattern: a mathematical study based on simulations and animal experiments |
title_full_unstemmed | The initial engraftment of tumor cells is critical for the future growth pattern: a mathematical study based on simulations and animal experiments |
title_short | The initial engraftment of tumor cells is critical for the future growth pattern: a mathematical study based on simulations and animal experiments |
title_sort | initial engraftment of tumor cells is critical for the future growth pattern: a mathematical study based on simulations and animal experiments |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7275472/ https://www.ncbi.nlm.nih.gov/pubmed/32503458 http://dx.doi.org/10.1186/s12885-020-07015-9 |
work_keys_str_mv | AT hoffmannbertin theinitialengraftmentoftumorcellsiscriticalforthefuturegrowthpatternamathematicalstudybasedonsimulationsandanimalexperiments AT langetobias theinitialengraftmentoftumorcellsiscriticalforthefuturegrowthpatternamathematicalstudybasedonsimulationsandanimalexperiments AT labitzkyvera theinitialengraftmentoftumorcellsiscriticalforthefuturegrowthpatternamathematicalstudybasedonsimulationsandanimalexperiments AT rieckenkristoffer theinitialengraftmentoftumorcellsiscriticalforthefuturegrowthpatternamathematicalstudybasedonsimulationsandanimalexperiments AT wreeandreas theinitialengraftmentoftumorcellsiscriticalforthefuturegrowthpatternamathematicalstudybasedonsimulationsandanimalexperiments AT schumacherudo theinitialengraftmentoftumorcellsiscriticalforthefuturegrowthpatternamathematicalstudybasedonsimulationsandanimalexperiments AT wedemanngero theinitialengraftmentoftumorcellsiscriticalforthefuturegrowthpatternamathematicalstudybasedonsimulationsandanimalexperiments AT hoffmannbertin initialengraftmentoftumorcellsiscriticalforthefuturegrowthpatternamathematicalstudybasedonsimulationsandanimalexperiments AT langetobias initialengraftmentoftumorcellsiscriticalforthefuturegrowthpatternamathematicalstudybasedonsimulationsandanimalexperiments AT labitzkyvera initialengraftmentoftumorcellsiscriticalforthefuturegrowthpatternamathematicalstudybasedonsimulationsandanimalexperiments AT rieckenkristoffer initialengraftmentoftumorcellsiscriticalforthefuturegrowthpatternamathematicalstudybasedonsimulationsandanimalexperiments AT wreeandreas initialengraftmentoftumorcellsiscriticalforthefuturegrowthpatternamathematicalstudybasedonsimulationsandanimalexperiments AT schumacherudo initialengraftmentoftumorcellsiscriticalforthefuturegrowthpatternamathematicalstudybasedonsimulationsandanimalexperiments AT wedemanngero initialengraftmentoftumorcellsiscriticalforthefuturegrowthpatternamathematicalstudybasedonsimulationsandanimalexperiments |