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Published on: October 28, 2021
A multi-site feasibility study for personalized medicine in canines with osteosarcoma
Journal of Translational Medicine
|July 3, 2013
Summary
This study shows that gene expression-based Personalized Medicine (PMed) algorithms can predict canine osteosarcoma therapies within five days. Refinements to infrastructure and processes are needed for clinical trials.
Area of Science:
- Veterinary oncology
- Genomics
- Personalized medicine
Background:
- Personalized medicine aims to tailor treatments to individual patients and their diseases.
- Canine osteosarcoma presents a challenge for developing targeted therapeutic strategies.
Purpose of the Study:
- To assess the feasibility of a gene expression-based Personalized Medicine (PMed) approach for canine osteosarcoma.
- To refine the infrastructure and processes for prospective clinical trials within a 5-day turnaround time.
Main Methods:
- Tumor samples from canine osteosarcoma patients were collected and processed for RNA extraction and pathological diagnosis.
- Genomic profiling was performed, and gene expression data were analyzed using PMed algorithms.
- Turnaround time for PMed report generation and veterinarian feedback were recorded.
Main Results:
- 13 out of 20 enrolled subjects had samples pass quality control for genomic analysis.
- PMed reports were generated and communicated to veterinarians for 11 of these 13 samples within the 5-business-day target.
- Veterinarian feedback indicated a need for improved education, drug availability, pricing, and dosing information.
Conclusions:
- A 5-day turnaround for molecular tumor analysis and therapeutic decision support is feasible with established infrastructure.
- Improvements in sample quality control and veterinarian support are necessary for broader clinical application.
- This study provides a foundation for prospective clinical trials in canine osteosarcoma utilizing personalized medicine.

