Literature DB >> 28045615

Cost Comparison of Genetic Testing Strategies in Women With Epithelial Ovarian Cancer.

Jonathan R Foote1, Micael Lopez-Acevedo1, Adam H Buchanan1, Angeles Alvarez Secord1, Paula S Lee1, Cynthia Fountain1, Evan R Myers1, David E Cohn1, Shelby D Reed1, Laura J Havrilesky1.   

Abstract

PURPOSE: The advent of multigene panels has increased genetic testing options for women with epithelial ovarian cancer (EOC). We designed a decision model to compare costs and probabilities of identifying a deleterious mutation or variant of uncertain significance (VUS) using different genetic testing strategies.
METHODS: A decision model was developed to compare costs and outcomes of two testing strategies for women with EOC: multigene testing (MGT) versus single-gene testing for BRCA1/2. Outcomes were mean cost and number of deleterious mutations and VUSs identified. Model inputs were obtained from published genetic testing data in EOC. One-way sensitivity analyses and Monte Carlo probabilistic sensitivity analyses were performed.
RESULTS: No family history model: MGT cost $1,160 more on average than BRCA1/2 testing and identified an additional 3.8 deleterious mutations for every 100 women tested. For each additional deleterious mutation identified, MGT cost $30,812 and identified 5.4 additional VUSs. Family history model: MGT cost $654 more on average and identified an additional 7.0 deleterious mutations for every 100 women tested. For each additional deleterious mutation identified, MGT cost $9,909 and identified 2.6 additional VUSs.
CONCLUSION: MGT was associated with a higher additional cost per deleterious mutation identified and a higher ratio of VUS burden to actionable information in women with no family history as compared with women with a family history. Family history should be considered when determining an initial genetic testing platform in women with EOC.

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Year:  2017        PMID: 28045615     DOI: 10.1200/JOP.2016.011866

Source DB:  PubMed          Journal:  J Oncol Pract        ISSN: 1554-7477            Impact factor:   3.840


  1 in total

1.  Emergence of Hybrid Models of Genetic Testing Beyond Direct-to-Consumer or Traditional Labs.

Authors:  Kathryn A Phillips; Julia R Trosman; Michael P Douglas
Journal:  JAMA       Date:  2019-06-25       Impact factor: 56.272

  1 in total

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