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Published on: April 14, 2010
Cost Effectiveness of Gene Expression Profile Testing in Community Practice
Young Chandler1, Clyde B Schechter1, Jinani Jayasekera1
1Young Chandler, Jinani Jayasekera, Aimee Near, Suzanne C. O'Neill, Claudine Isaacs, and Jeanne S. Mandelblatt, Georgetown University Medical Center, Lombardi Comprehensive Cancer Center, Washington, DC; Clyde B. Schechter, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx; Charles E. Phelps, University of Rochester, Rochester, NY; G. Thomas Ray and Tracy A. Lieu, Kaiser Permanente Northern California, Oakland, CA; and Scott Ramsey, Fred Hutchinson Cancer Research Center, Seattle, WA.
Gene expression profile (GEP) testing for early-stage breast cancer shows high cost-effectiveness in community settings. Real-world implementation impacts results, highlighting the need for careful assessment of new technologies.
Area of Science:
- Oncology
- Health Economics
- Genomics
Background:
- Gene expression profile (GEP) testing aids chemotherapy decisions in early-stage, hormone receptor-positive, HER2-negative breast cancer.
- Onco type DX is a GEP test used to guide treatment for these patients.
Purpose of the Study:
- To evaluate the cost-effectiveness of the Onco type DX GEP test in community practice for eligible patients aged 40-79.
- To compare 25-year societal costs and quality-adjusted life-years (QALYs) of Onco type DX use versus usual care.
Main Methods:
- A simulation model was used to compare Onco type DX testing with usual care.
- Data included test accuracy, chemotherapy effectiveness, patient costs, and survival/recurrence rates from integrated health systems and published sources.
- Sensitivity analyses explored variations in parameters and ideal conditions (100% testing, perfect accuracy).
Main Results:
- Only 24% of eligible patients underwent Onco type DX testing, with higher rates in younger patients and those with stage I disease.
- The cost-effectiveness ratio was $188,125 per QALY in community practice.
- Under ideal conditions (perfect accuracy, 100% adherence), the ratio improved significantly, reaching $39,496 per QALY.
Conclusions:
- GEP testing demonstrates a high cost-effectiveness ratio in real-world community settings.
- Variations in implementation and assumptions can yield cost-effectiveness ratios comparable to established interventions.
- Assessing new technologies requires consideration of both ideal scenarios and practical, real-world implementation challenges.
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