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肿瘤生长:一个用于肿瘤生长曲线统计分析的开放获取网络工具。

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

作者信息

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

机构信息

Gustave Roussy Comprehensive Cancer Institute, Villejuif, France.

INSERM, U1138, Paris, France.

出版信息

Oncoimmunology. 2018 Aug 1;7(9):e1462431. doi: 10.1080/2162402X.2018.1462431. eCollection 2018.

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 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. 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.

摘要

肿瘤生长曲线分析是实验肿瘤学(包括肿瘤免疫学)中的标准做法。在实验肿瘤学中,将癌细胞接种到啮齿动物(主要是小鼠)体内,并通过测量肿瘤直径、表面积或体积随时间的变化来监测其生长情况,这是不同治疗方法作用的结果。然后,比较不同组的肿瘤/治疗方法在其演变过程以及对治疗的可能反应方面的差异。R软件包是作为一种软件工具创建的,它能让统计学知识有限的实验人员对在标准实验室中获得的多组或两组肿瘤生长曲线进行一系列统计比较。该软件包可在https://kroemerlab.shinyapps.io/TumGrowth/上免费在线获取,并可下载到任何计算机中。它提供了大量工具来可视化和分析复杂数据集,包括纵向、横断面和终点时间测量数据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6939/6140814/c923ea5c273d/koni-07-09-1462431-g001.jpg

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