Cargando…
TumGrowth: An open-access web tool for the statistical analysis of tumor growth curves
The analysis of tumor growth curves is standard practice in experimental oncology including tumor immunology. In experimental oncology, cancer cells are inoculated into rodents (mostly mice) and their growth is monitored by measuring tumor diameter, surface or volume over time as a function of disti...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6140814/ https://www.ncbi.nlm.nih.gov/pubmed/30228932 http://dx.doi.org/10.1080/2162402X.2018.1462431 |
_version_ | 1783355628433965056 |
---|---|
author | Enot, David P. Vacchelli, Erika Jacquelot, Nicolas Zitvogel, Laurence Kroemer, Guido |
author_facet | Enot, David P. Vacchelli, Erika Jacquelot, Nicolas Zitvogel, Laurence Kroemer, Guido |
author_sort | Enot, David P. |
collection | PubMed |
description | The analysis of tumor growth curves is standard practice in experimental oncology including tumor immunology. In experimental oncology, cancer cells are inoculated into rodents (mostly mice) and their growth is monitored by measuring tumor diameter, surface or volume over time as a function of distinct treatments. Then, different groups of tumors/treatments are compared among each other for their evolution and possible responses to treatment. The R package TumGrowth has been created as a software tool allowing to carry out a series of statistical comparisons across or between groups of tumor growth curves obtained in a standard laboratory, for experimenters with limited knowledge in statistics. TumGrowth is freely available online at https://kroemerlab.shinyapps.io/TumGrowth/ and can be downloaded into any computer. It offers an exhaustive panoply of tools to visualize and analyze complex data sets including longitudinal, cross-sectional and time-to-endpoint measurements. |
format | Online Article Text |
id | pubmed-6140814 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-61408142018-09-18 TumGrowth: An open-access web tool for the statistical analysis of tumor growth curves Enot, David P. Vacchelli, Erika Jacquelot, Nicolas Zitvogel, Laurence Kroemer, Guido Oncoimmunology Brief Report The analysis of tumor growth curves is standard practice in experimental oncology including tumor immunology. In experimental oncology, cancer cells are inoculated into rodents (mostly mice) and their growth is monitored by measuring tumor diameter, surface or volume over time as a function of distinct treatments. Then, different groups of tumors/treatments are compared among each other for their evolution and possible responses to treatment. The R package TumGrowth has been created as a software tool allowing to carry out a series of statistical comparisons across or between groups of tumor growth curves obtained in a standard laboratory, for experimenters with limited knowledge in statistics. TumGrowth is freely available online at https://kroemerlab.shinyapps.io/TumGrowth/ and can be downloaded into any computer. It offers an exhaustive panoply of tools to visualize and analyze complex data sets including longitudinal, cross-sectional and time-to-endpoint measurements. Taylor & Francis 2018-08-01 /pmc/articles/PMC6140814/ /pubmed/30228932 http://dx.doi.org/10.1080/2162402X.2018.1462431 Text en © 2018 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way. |
spellingShingle | Brief Report Enot, David P. Vacchelli, Erika Jacquelot, Nicolas Zitvogel, Laurence Kroemer, Guido TumGrowth: An open-access web tool for the statistical analysis of tumor growth curves |
title | TumGrowth: An open-access web tool for the statistical analysis of tumor growth curves |
title_full | TumGrowth: An open-access web tool for the statistical analysis of tumor growth curves |
title_fullStr | TumGrowth: An open-access web tool for the statistical analysis of tumor growth curves |
title_full_unstemmed | TumGrowth: An open-access web tool for the statistical analysis of tumor growth curves |
title_short | TumGrowth: An open-access web tool for the statistical analysis of tumor growth curves |
title_sort | tumgrowth: an open-access web tool for the statistical analysis of tumor growth curves |
topic | Brief Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6140814/ https://www.ncbi.nlm.nih.gov/pubmed/30228932 http://dx.doi.org/10.1080/2162402X.2018.1462431 |
work_keys_str_mv | AT enotdavidp tumgrowthanopenaccesswebtoolforthestatisticalanalysisoftumorgrowthcurves AT vacchellierika tumgrowthanopenaccesswebtoolforthestatisticalanalysisoftumorgrowthcurves AT jacquelotnicolas tumgrowthanopenaccesswebtoolforthestatisticalanalysisoftumorgrowthcurves AT zitvogellaurence tumgrowthanopenaccesswebtoolforthestatisticalanalysisoftumorgrowthcurves AT kroemerguido tumgrowthanopenaccesswebtoolforthestatisticalanalysisoftumorgrowthcurves |