Integrated patient and tumor genetic testing for individualized cancer therapy

D L Hertz1, H L McLeod2

  • 1Department of Clinical Pharmacy, University of Michigan College of Pharmacy, University of Michigan, Ann Arbor, Michigan, USA.

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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