Article ; Online: On the Choice of Longitudinal Models for the Analysis of Antitumor Efficacy in Mouse Clinical Trials of Patient-derived Xenograft Models.
Cancer research communications
2023 Volume 3, Issue 1, Page(s) 140–147
Abstract: In translational oncology research, the patient-derived xenograft (PDX) model and its use in mouse clinical trials (MCT) are increasingly described. This involves transplanting a human tumor into a mouse and studying its evolution during follow-up or ... ...
Abstract | In translational oncology research, the patient-derived xenograft (PDX) model and its use in mouse clinical trials (MCT) are increasingly described. This involves transplanting a human tumor into a mouse and studying its evolution during follow-up or until death. A MCT contains several PDXs in which several mice are randomized to different treatment arms. Our aim was to compare longitudinal modeling of tumor growth using mixed and joint models. Mixed and joint models were compared in a real MCT ( Significance: This work brings new arguments to a controversy on the correct choice of statistical modeling methods for the analysis of MCTs. We conclude that mixed models are more robust than joint models. |
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MeSH term(s) | Humans ; Animals ; Mice ; Heterografts ; Models, Statistical ; Computer Simulation ; Disease Models, Animal ; Neoplasms/drug therapy |
Language | English |
Publishing date | 2023-01-26 |
Publishing country | United States |
Document type | Randomized Controlled Trial ; Journal Article ; Research Support, Non-U.S. Gov't |
ISSN | 2767-9764 |
ISSN (online) | 2767-9764 |
DOI | 10.1158/2767-9764.CRC-22-0238 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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