The need/benefit of adjuvant chemotherapy could be negligible for a certain category of patient with newly diagnosed unilateral non metastatic breast cancer. Physicians are sometimes divided between the administration of adjuvant treatment and no administration when the risk of distant relapse at 10 years is around 10% with uncertainty and a theoretical benefit of chemotherapy is less than 5% at 10 years according to guidelines in use in the center. Several genomic tests have been developed this last decade. These tests use a sample of breast cancer tissue to analyze the activity of a group of genes. Knowing whether certain genes are present or absent, overly active or not active enough, can help physicians predict the risk of recurrence. In addition to standard pathological characteristics, a genomic test could be helpful in making treatment decisions, such as whether or not chemotherapy should be part of the treatment plan. First generation prognostic tests are currently widely used worldwide to guide decision making regarding adjuvant chemotherapy (OncotypeDX™ Mammaprint®). Prognostic tests have reached a level of evidence 1A, with the results of the prospective randomized trial "Mindact". In the "Mindact" trial, among women with early-stage breast cancer who were at high clinical risk and low genomic risk for recurrence, the receipt of no chemotherapy on the basis of the 70-gene signature led to a 5-year rate of survival without distant metastasis that was 1.5 percentage points lower than the rate with chemotherapy. Given these findings, approximately 46% of women with breast cancer who are at high clinical risk might not require chemotherapy. The health-economic value of such signatures in the general population of patients with localized breast cancer appears very low at current costs. Meanwhile, next generation prognostic signatures have been developed that have integrated clinical parameters and suggest high added value beyond all standard and traditional characteristics including tumor burden, grade, Estrogen Receptor (ER) and Progesterone Receptor (PR), Her2, age and also standard assessment of proliferation. In this study, the clinical utility of genomic tests (Endopredict®, Prosigna®, OncotypeDX®, Mammaprint® assay) defined as impact on chemotherapy decision in the adjuvant setting in patients with ER-positive, Her2-negative early breast cancer with uncertainty on the indication of chemotherapy using standard assessments will be compared.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
DIAGNOSTIC
Masking
NONE
genomic test realized on surgery block or formalin-fixed paraffin-embedded slides
Comparison of genomic tests clinical utility
Pairwise comparisons between genomic tests in terms of percentage of changes between initial adjuvant chemotherapy decision and final receipt of chemotherapy (yes/no)
Time frame: At the end of the inclusion period: 12 months
Distant disease-free survival in patients who do not receive chemotherapy
5-year distant disease-free survival among the pooled cohort of patients who did not receive chemotherapy
Time frame: 5 years
Distant disease-free survival in patients who do not receive chemotherapy based on genomic test result.
5-year distant disease-free survival in patients who did not receive chemotherapy based on genomic test result
Time frame: 5 years
Reason for discordant final decision when they occur
Number of decision changes according to the test results. Physicians' and patients' reasons for "non-compliance" with the test's results will be recorded (a threshold at 10% 10 year distant recurrence risk will be chosen)
Time frame: 12 months
Feasibility of test in terms of time interval.
Time interval between prescription and result of the test (% \< 10 days)
Time frame: 12 months
differences in results between local and central reading of ER, PR, Her2 and Ki67
A comparison with local evaluation of HR, Her2, and ki-67 will be made
Time frame: 12 months
Change of therapy based on the genomic test findings in a virtual tumour board
Choice of therapy in a virtual tumour board based on the genomic test findings
Time frame: 12 months
Evaluation of the cost effectiveness of genomic tests
Medico-economic impact based on results of the "Optisoin 01" study
Time frame: 5 years
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