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Updated: Mar 30, 2026

Testing Targeted Therapies in Cancer using Structural DNA Alteration Analysis and Patient-Derived Xenografts
Published on: July 25, 2020
Integrated patient and tumor genetic testing for individualized cancer therapy
1Department of Clinical Pharmacy, University of Michigan College of Pharmacy, University of Michigan, Ann Arbor, Michigan, USA.
Abstract:
Tumor genome analysis is transforming cancer treatment by enabling identification of specific oncogenic drivers and selection of effective targeted agents. Meanwhile, patient genome analysis is being employed across therapeutic areas to inform selection of appropriate drugs and doses for treatment safety. Integration of patient genome analysis concurrent with preemptive tumor genetic testing will enable oncologists to make informed treatment decisions to select the right dose of the right drug for each patient and their tumor.
Insights
Genomic analysis of tumors and patients guides cancer treatment. Integrating both tumor and patient genetic testing helps doctors choose the best drug and dose for personalized cancer care.
Area of Science:
- Oncology
- Genomics
- Personalized Medicine
Background:
- Tumor genome analysis identifies cancer drivers and targeted therapies.
- Patient genome analysis informs drug selection and dosing for safety across treatments.
Purpose of the Study:
- To highlight the benefits of integrating tumor and patient genomic analysis.
- To emphasize informed treatment decisions in oncology.
Main Methods:
- Review of current practices in tumor and patient genome analysis.
- Conceptual framework for concurrent genetic testing.
Main Results:
- Genomic insights enable precise identification of oncogenic drivers.
- Patient genetic data optimizes drug and dose selection for safety and efficacy.
Conclusions:
- Integrating patient and tumor genomic data empowers oncologists.
- This approach facilitates selecting the optimal drug and dose for individual cancer patients.
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