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Testing Targeted Therapies in Cancer using Structural DNA Alteration Analysis and Patient-Derived Xenografts
Published on: July 25, 2020
An Integrative Approach to Precision Cancer Medicine Using Patient-Derived Xenografts
Sung-Yup Cho1, Wonyoung Kang1, Jee Yun Han1
1Department of Life Science, Ewha Womans University, Seoul 120-750, Korea.
Abstract:
Cancer is a heterogeneous disease caused by diverse genomic alterations in oncogenes and tumor suppressor genes. Despite recent advances in high-throughput sequencing technologies and development of targeted therapies, novel cancer drug development is limited due to the high attrition rate from clinical studies. Patient-derived xenografts (PDX), which are established by the transfer of patient tumors into immunodeficient mice, serve as a platform for co-clinical trials by enabling the integration of clinical data, genomic profiles, and drug responsiveness data to determine precisely targeted therapies. PDX models retain many of the key characteristics of patients' tumors including histology, genomic signature, cellular heterogeneity, and drug responsiveness. These models can also be applied to the development of biomarkers for drug responsiveness and personalized drug selection. This review summarizes our current knowledge of this field, including methodologic aspects, applications in drug development, challenges and limitations, and utilization for precision cancer medicine.
Insights
Patient-derived xenografts (PDX) accurately model patient tumors, aiding precision cancer medicine. These models improve targeted therapy development and biomarker discovery, overcoming challenges in novel drug development.
Area of Science:
- Oncology
- Translational Research
- Genomics
Background:
- Cancer's heterogeneity poses challenges for drug development.
- High attrition rates in clinical studies limit novel cancer therapeutics.
- Patient-derived xenografts (PDX) offer a promising preclinical model.
Purpose of the Study:
- To review the utility of PDX models in cancer research.
- To highlight their role in precision cancer medicine.
- To discuss applications in drug development and biomarker discovery.
Main Methods:
- Establishment of PDX models from patient tumors.
- Integration of clinical, genomic, and drug response data.
- Utilizing PDX for co-clinical trials and personalized medicine.
Main Results:
- PDX models preserve tumor histology, genomics, and heterogeneity.
- They demonstrate predictive value for drug responsiveness.
- PDX enable biomarker identification for targeted therapies.
Conclusions:
- PDX models are valuable tools for advancing precision cancer medicine.
- They facilitate the development of novel targeted therapies.
- PDX support personalized drug selection and biomarker strategies.
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