TumGrowth: An open-access web tool for the statistical analysis of tumor growth curves. (2nd September 2018)

• Record Type: Journal Article
• Authors: Enot, David P.; Vacchelli, Erika; Jacquelot, Nicolas; Zitvogel, Laurence; Kroemer, Guido
• Is Part Of: Oncoimmunology. Volume 7:Number 9(2018)
• Publication Date: 2018-09-02
• Subjects: mice -- statistical analyses -- survival -- tumor growth; Tumors -- Immunological aspects -- Periodicals; Neoplasms -- therapy -- Periodicals; Immunotherapy -- Periodicals; 616.994
• DOI: 10.1080/2162402X.2018.1462431
• Languages: English
• ISSNs: 2162-402X

Abstract

ABSTRACT: 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 athttps://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.