Personalized Decision Making on Genomic Testing in Early Breast Cancer: Expanding the MINDACT Trial with Decision-Analytic Modeling. (April 2021)
- Record Type:
- Journal Article
- Title:
- Personalized Decision Making on Genomic Testing in Early Breast Cancer: Expanding the MINDACT Trial with Decision-Analytic Modeling. (April 2021)
- Main Title:
- Personalized Decision Making on Genomic Testing in Early Breast Cancer: Expanding the MINDACT Trial with Decision-Analytic Modeling
- Authors:
- Steyerberg, Ewout W.
de Wreede, Liesbeth C.
van Klaveren, David
Bossuyt, Patrick M. M. - Abstract:
- Background: Genomic tests may improve upon clinical risk estimation with traditional prognostic factors. We aimed to explore how evidence on the prognostic strength of a genomic signature (clinical validity) can contribute to individualized decision making on starting chemotherapy for women with breast cancer (clinical utility). Methods: The MINDACT trial was a randomized trial that enrolled 6693 women with early-stage breast cancer. A 70-gene signature (Mammaprint) was used to estimate genomic risk, and clinical risk was estimated by a dichotomized version of the Adjuvant!Online risk calculator. Women with discordant risk results were randomized to the use of chemotherapy. We simulated the full risk distribution of these women and estimated individual benefit, assuming a constant relative effect of chemotherapy. Results: The trial showed a prognostic effect of the genomic signature (adjusted hazard ratio 2.4). A decision-analytic modeling approach identified far fewer women as candidates for genetic testing (4% rather than 50%) and fewer benefiting from chemotherapy (3% rather than 27%) as compared with the MINDACT trial report. The selection of women benefitting from genetic testing and chemotherapy depended strongly on the required benefit from treatment and the assumed therapeutic effect of chemotherapy. Conclusions: A high-quality pragmatic trial was insufficient to directly inform clinical practice on the utility of a genomic test for individual women. The indicationBackground: Genomic tests may improve upon clinical risk estimation with traditional prognostic factors. We aimed to explore how evidence on the prognostic strength of a genomic signature (clinical validity) can contribute to individualized decision making on starting chemotherapy for women with breast cancer (clinical utility). Methods: The MINDACT trial was a randomized trial that enrolled 6693 women with early-stage breast cancer. A 70-gene signature (Mammaprint) was used to estimate genomic risk, and clinical risk was estimated by a dichotomized version of the Adjuvant!Online risk calculator. Women with discordant risk results were randomized to the use of chemotherapy. We simulated the full risk distribution of these women and estimated individual benefit, assuming a constant relative effect of chemotherapy. Results: The trial showed a prognostic effect of the genomic signature (adjusted hazard ratio 2.4). A decision-analytic modeling approach identified far fewer women as candidates for genetic testing (4% rather than 50%) and fewer benefiting from chemotherapy (3% rather than 27%) as compared with the MINDACT trial report. The selection of women benefitting from genetic testing and chemotherapy depended strongly on the required benefit from treatment and the assumed therapeutic effect of chemotherapy. Conclusions: A high-quality pragmatic trial was insufficient to directly inform clinical practice on the utility of a genomic test for individual women. The indication for genomic testing may be far more limited than suggested by the MINDACT trial. … (more)
- Is Part Of:
- Medical decision making. Volume 41:Number 3(2021)
- Journal:
- Medical decision making
- Issue:
- Volume 41:Number 3(2021)
- Issue Display:
- Volume 41, Issue 3 (2021)
- Year:
- 2021
- Volume:
- 41
- Issue:
- 3
- Issue Sort Value:
- 2021-0041-0003-0000
- Page Start:
- 354
- Page End:
- 365
- Publication Date:
- 2021-04
- Subjects:
- biomarker evaluation -- breast cancer -- clinical utility -- genomic testing -- risk stratification
Medical policy -- Periodicals
Clinical medicine -- Decision making -- Periodicals
Medicine -- Periodicals
Médecine clinique -- Prise de décision -- Périodiques
362.1 - Journal URLs:
- http://journals.sagepub.com/home/mdm ↗
http://www.ingenta.com/journals/browse/sage/j501 ↗
http://www.sagepublications.com/ ↗
http://firstsearch.oclc.org ↗
http://firstsearch.oclc.org/journal=0272-989x;screen=info;ECOIP ↗ - DOI:
- 10.1177/0272989X21991173 ↗
- Languages:
- English
- ISSNs:
- 0272-989X
- Deposit Type:
- Legaldeposit
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