A Value of Information Analysis of Research on the 21-Gene Assay for Breast Cancer Management

Value Health. 2019 Oct;22(10):1102-1110. doi: 10.1016/j.jval.2019.05.004. Epub 2019 Aug 7.

Abstract

Objectives: The 21-gene assay Oncotype DX (21-GA) shows promise as a guide in deciding when to initiate adjuvant chemotherapy in women with hormone receptor-positive early-stage breast cancer. Nevertheless, its routine use remains controversial, owing to insufficient evidence of its clinical utility and cost-effectiveness. Accordingly, we aim to quantify the value of conducting further research to reduce decision uncertainty in the use of the 21-GA.

Methods: Using value of information methods, we first generated probability distributions of survival and costs for decision making with and without the 21-GA alongside traditional risk prediction. These served as the input to a comparison of 3 alternative study designs: a retrospective observational study to update risk classification from the 21-GA, a prospective observational study to estimate prevalence of chemotherapy use, and a randomized controlled trial (RCT) of the 21-GA predictive value.

Results: We found that current evidence strongly supports the use of the 21-GA in intermediate- and high-risk women. Further research should focus on low-risk women, among whom the cost-effectiveness findings remained equivocal. For this population, we identified a high value of reducing uncertainty in the 21-GA use for all proposed research studies. The RCT had the greatest potential to efficiently reduce the likelihood of choosing a suboptimal strategy, providing a value between $162 million and $1.1 billion at willingness-to-pay thresholds of $150 000 to $200 000/quality-adjusted life years.

Conclusion: Future research to inform 21-GA decision making is of high value. The RCT of the 21-GA predictive value has the greatest potential to efficiently reduce decision uncertainty around 21-GA use in women with low-risk early-stage breast cancer.

Keywords: 21-gene assay; breast cancer; cost-effectiveness; decision making; decision uncertainty; gene expression profiling; precision medicine; research design and prioritization; value of information.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Biomarkers, Tumor / genetics
  • Breast Neoplasms / drug therapy*
  • Breast Neoplasms / genetics*
  • Chemotherapy, Adjuvant
  • Cost-Benefit Analysis
  • Decision Making
  • Female
  • Gene Expression Profiling
  • Gene Expression Regulation, Neoplastic
  • Genetic Research*
  • Humans
  • Markov Chains
  • Neoplasm Recurrence, Local / genetics
  • Precision Medicine
  • Prospective Studies

Substances

  • Biomarkers, Tumor