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Updated: May 15, 2026

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Analyzing Tumor Gene Expression Factors with the CorExplorer Web Portal
Published on: October 11, 2019
Cost-effectiveness of gene-expression profiling for tumor-site origin.
John Hornberger1, Irina Degtiar, Hialy Gutierrez
1Cedar Associates LLC, Menlo Park, CA 94025, USA. ujch@stanford.edu
Summary
Gene-expression profiling (GEP) TOO testing improves cancer diagnosis and treatment recommendations. This cost-effectiveness analysis shows GEP TOO testing increases survival and quality of life, with an acceptable cost per quality-adjusted life-year.
Area of Science:
- Oncology
- Genomics
- Health Economics
Background:
- Gene-expression profiling (GEP) provides valuable tissue of origin (TOO) information for metastatic or poorly differentiated cancers.
- Traditional clinicopathological methods may be insufficient for accurate TOO determination in complex cases.
Purpose of the Study:
- To conduct a cost-effectiveness analysis of GEP TOO testing compared to usual care.
- To evaluate the impact of GEP TOO testing on clinical practice patterns and patient outcomes from a US third-party payer perspective.
Main Methods:
- Retrospective observational study analyzing changes in treatment recommendations (chemotherapy, surgery, radiation, etc.) post-GEP TOO testing.
- Survival impact assessed using data from National Comprehensive Cancer Network and UpToDate guidelines.
- Cost analysis incorporated drug costs, administration costs, and unit costs from CMS fee schedules.
- Quality-of-life weights from literature and sensitivity analyses (bootstrap, probabilistic) were used to estimate variability and uncertainty.
Main Results:
- Chemotherapy recommendations aligned with guidelines increased from 42% to 65% (P<0.001).
- Projected overall survival increased by 3.6 months (15.9 to 19.5 months).
- Average quality-adjusted life-months increased by 2.7 months, with a mean cost increase of $10,360 per patient.
- The cost per quality-adjusted life-year gained was $46,858.
Conclusions:
- GEP TOO testing significantly alters clinical practice for metastatic or poorly differentiated cancers.
- The test is projected to improve overall survival and quality-adjusted life-years.
- The cost-effectiveness is favorable, with an expected cost per quality-adjusted life-year below $50,000.
