Gene Expression Profiling Tests for Early-Stage Invasive Breast Cancer: A Health Technology Assessment
Ontario Health (Quality)
Record ID 32018000396
Authors' objectives: This health technology assessment evaluates the effectiveness, safety, and cost-effectiveness of gene expression profiling (GEP) tests for people with early-stage invasive breast cancer. It also evaluates the budget impact of publicly funding GEP tests and the experiences, preferences, and values of people with early-stage invasive breast cancer.
Authors' results and conclusions: Results We included 68 studies in the clinical evidence review. Within the lymph-node–negative (LN−) population, GEP tests can prognosticate the risk of distant recurrence (GRADE: Moderate) and may predict chemotherapy benefit (GRADE: Low). The evidence for prognostic and predictive ability (ability to indicate the risk of an outcome and ability to predict who will benefit from chemotherapy, respectively) was lower for the lymph-node–positive (LN+) population (GRADE: Very Low to Low). GEP tests may also lead to changes in treatment (GRADE: Low) and generally may increase physician confidence in treatment recommendations (GRADE: Low). Our economic evidence review showed that GEP tests are generally cost-effective compared with usual care. Our primary economic evaluation showed that all GEP test strategies were more effective (led to more quality-adjusted life-years [QALYs]) than usual care and can be considered cost-effective below a willingness-to-pay of $20,000 per QALY gained. There was some uncertainty in our results. At a willingness-to-pay of $50,000 per QALY gained, the probability of each test being cost-effective compared to usual care was 63.0%, 89.2%, 89.2%, and 100% for EndoPredict, MammaPrint, Oncotype DX, and Prosigna, respectively. Sensitivity analyses showed our results were robust to variation in subgroups considered (i.e., LN+ and premenopausal), discount rates, age, and utilities. However, cost parameter assumptions did influence our results. Our scenario analysis comparing tests showed Oncotype DX was likely cost-effective compared with MammaPrint, and Prosigna was likely cost-effective compared with EndoPredict. When the GEP tests were compared with a clinical tool, the cost-effectiveness of the tests varied. Assuming a higher uptake of GEP tests, we estimated the budget impact to publicly fund GEP tests in Ontario would be between $1.29 million (Year 1) and $2.22 million (Year 5) compared to the current scenario of publicly funded GEP tests through the out-of-country program. Gene expression profiling tests are valued by patients and physicians for the additional information they provide for treatment decision-making. Patients are satisfied with what they learn from GEP tests and feel GEP tests can help reduce decisional uncertainty and anxiety. Conclusions Gene expression profiling tests can likely prognosticate the risk of distant recurrence and some tests may also predict chemotherapy benefit. In people with breast cancer that is ER+, LN−, and human epidermal growth factor receptor 2 (HER2)–negative, GEP tests are likely cost-effective compared with no testing. The GEP tests are also likely cost-effective in LN+ and premenopausal people. Compared with funding GEP tests through the out-of-country program, publicly funding GEP tests in Ontario would cost an additional $1 million to $2 million annually, assuming a higher uptake of tests. GEP tests are valued by both patients and physicians for chemotherapy treatment decision-making.
Authors' recomendations: The Quality business unit at Ontario Health, based on guidance from the Ontario Health Technology Advisory Committee, recommends publicly funding gene expression profiling tests for people with early-stage invasive breast cancer whose tumours have all of the following characteristics: Estrogen receptor (ER) positive Human epidermal growth factor receptor 2 (HER2) negative Lymph-node negative or micrometastasis
Authors' methods: We performed a systematic literature search of the clinical evidence. We assessed the risk of bias of each included study using either the Cochrane Risk of Bias tool, Prediction model Risk Of Bias ASsessment Tool (PROBAST), or Risk of Bias Assessment tool for Non-randomized Studies (RoBANS), depending on the type of study and outcome of interest, and the quality of the body of evidence according to the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) Working Group criteria. We also performed a literature survey of the quantitative evidence of preferences and values of patients and providers for GEP tests. We performed an economic evidence review to identify published studies assessing the cost-effectiveness of each of the four GEP tests compared with usual care or with one another for people with early-stage invasive breast cancer. We adapted a decision-analytic model to compare the costs and outcomes of care that includes a GEP test with usual care without a GEP test over a lifetime horizon. We also estimated the budget impact of publicly funding GEP tests to be conducted in Ontario, compared with funding tests conducted through the out-of-country program and compared with no funding of tests in any location. To contextualize the potential value of GEP tests, we spoke with people who have been diagnosed with early-stage invasive breast cancer.
Project Status: Completed
Year Published: 2020
URL for published report: https://www.hqontario.ca/evidence-to-improve-care/health-technology-assessment/reviews-and-recommendations/gene-expression-profiling-tests-for-early-stage-invasive-breast-cancer
Requestor: Ontario Health Technology Advisory Committee (OHTAC); Ontario Ministry of Health
English language abstract: An English language summary is available
Publication Type: Full HTA
Pubmed ID: 32284770
- Breast Neoplasms
- Gene Expression Profiling
- Disease Progression
- Neoplasm Metastasis
- Predictive Value of Tests
- Antineoplastic Agents
- Cost-Benefit Analysis
- Decision Making
- Gene Expression Profiling
- breast cancer
Organisation Name: Ontario Health
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Contact Name: Nancy Sikich
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This is a bibliographic record of a published health technology assessment from a member of INAHTA or other HTA producer. No evaluation of the quality of this assessment has been made for the HTA database.