TumGrowth: An open-access web tool for the statistical analysis of tumor growth curves

David P. Enot, Erika Vacchelli, Nicolas Jacquelot, Laurence Zitvogel, Guido Kroemer

    Résultats de recherche: Contribution à un journalArticleRevue par des pairs

    80 Citations (Scopus)

    Résumé

    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.

    langue originaleAnglais
    Numéro d'articlee1462431
    journalOncoImmunology
    Volume7
    Numéro de publication9
    Les DOIs
    étatPublié - 2 sept. 2018

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