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...

Descripción completa

Detalles Bibliográficos
Autores principales: Enot, David P., Vacchelli, Erika, Jacquelot, Nicolas, Zitvogel, Laurence, Kroemer, Guido
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