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Published in: Breast Cancer Research and Treatment 3/2017

01-02-2017 | Epidemiology

The influence of 21-gene recurrence score assay on chemotherapy use in a population-based sample of breast cancer patients

Authors: Yun Li, Allison W. Kurian, Irina Bondarenko, Jeremy M. G. Taylor, Reshma Jagsi, Kevin C. Ward, Ann S. Hamilton, Steven J. Katz, Timothy P. Hofer

Published in: Breast Cancer Research and Treatment | Issue 3/2017

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Abstract

Purpose

To quantify the influence of RS assay on changing chemotherapy plans in a general practice setting using causal inference methods.

Methods

We surveyed 3880 newly diagnosed breast cancer patients in Los Angeles and Georgia in 2013–14. We used inverse propensity weighting and multiple imputations to derive complete information for each patient about treatment status with and without testing.

Results

A half of the 1545 women eligible for testing (ER+ or PR+, HER2−, and stage I–II) received RS. We estimate that 30% (95% confidence interval (CI) 10–49%) of patients would have changed their treatment selections after RS assay, with 10% (CI 0–20%) being encouraged to undergo chemotherapy and 20% (CI 10–30%) being discouraged from chemotherapy. The subgroups whose treatment selections would be changed the most by RS were patients with positive nodes (44%; CI 24–64%), larger tumor (43% for tumor size >2 cm; CI 23–62%), or younger age (41% for <50 years, CI 23–58%). The assay was associated with a net reduction in chemotherapy use by 10% (CI 4–16%). The reduction was much greater for women with positive nodes (31%; CI 21–41%), larger tumor (30% for tumor size >2 cm; CI 22–38%), or younger age (22% for <50 years; CI 9–35%).

Conclusion

RS substantially changed chemotherapy treatment selections with the largest influence among patients with less favorable pre-test prognosis. Whether this is optimal awaits the results of clinical trials addressing the utility of RS testing in selected subgroups.
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Metadata
Title
The influence of 21-gene recurrence score assay on chemotherapy use in a population-based sample of breast cancer patients
Authors
Yun Li
Allison W. Kurian
Irina Bondarenko
Jeremy M. G. Taylor
Reshma Jagsi
Kevin C. Ward
Ann S. Hamilton
Steven J. Katz
Timothy P. Hofer
Publication date
01-02-2017
Publisher
Springer US
Published in
Breast Cancer Research and Treatment / Issue 3/2017
Print ISSN: 0167-6806
Electronic ISSN: 1573-7217
DOI
https://doi.org/10.1007/s10549-016-4086-3

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