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Yitong Yuan, Hongling Gao, Yanhong Li, Xiangying Jiao. The latest progress of personalized drug screening and therapy research for clinical highly lethal tumors through the PDX model platform[J]. Journal of Pharmaceutical Analysis. doi: 10.1016/j.jpha.2025.101225
Citation: Yitong Yuan, Hongling Gao, Yanhong Li, Xiangying Jiao. The latest progress of personalized drug screening and therapy research for clinical highly lethal tumors through the PDX model platform[J]. Journal of Pharmaceutical Analysis. doi: 10.1016/j.jpha.2025.101225

The latest progress of personalized drug screening and therapy research for clinical highly lethal tumors through the PDX model platform

doi: 10.1016/j.jpha.2025.101225
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This work was supported by the National Natural Science Foundation of China (Grant No.: 82001326) and the Applied Basic Research Program Project of Shanxi Province (Grant No.: 201901D211319).

  • Received Date: Nov. 11, 2024
  • Rev Recd Date: Jan. 09, 2025
  • Available Online: Feb. 14, 2025
  • The establishment of mouse models is critical for discovering the biological targets of tumorigenesis and cancer development, preclinical trials of targeted drugs, and formulation of personalized therapeutic regimens. Currently, the patient-derived xenograft (PDX) model is considered a reliable animal tumor model because of its ability to retain the characteristics of the primary tumor at the histopathological, molecular, and genetic levels, and to preserve the tumor microenvironment. The application of the PDX model has promoted in-depth research on tumors in recent years, focusing on drug development, tumor target discovery, and precise treatment of patients. However, there are still some common questions. This review introduces the latest research progress and common questions regarding tumors with high mortality rates, focusing on their application in targeted drug screening and the formulation of personalized medical strategies. The challenges faced, improvement methods, and future development of the PDX model in tumor treatment applications are also discussed. This article provides technical guidance and comprehensive expectations for anti-cancer drug screening and clinical personalized therapy.
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