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French Prospective Real-life Evaluation of the Endopredict® Genomic Signature for HR-positive,HER2-negative Early Breast Cancer
EndoPredict is a genomic signature used to determine the 10-year risk of recurrence in early HR+/HER2- breast cancers classified as of intermediate risk according to conventional clinical and pathological criteria, and to guide the adjuvant treatment decision: hormone therapy alone or hormone therapy and chemotherapy. Since 2016, french laboratories performing the Endopredict test, included prospectively analyzed tumors in the SiMoSein registry with data collection : age, tumor size, lymph node status, histology, grade, HR and HER2 IHC status, Ki67, EPscore, Epclin score, risk of relapse, absolue benefit from chemotherapy, risk of late relapse The main objectives of the trial are to: Evaluate long-term relapse-free survival and overall survival over a 10-year period in breast cancer patients who underwent EndoPredict® testing according to: * EPclin risk class (low vs. high), * Lymph node status (N0/N1), * Tumor size (pT), * Age groups (\<40 years, 40-49 years, 50-69 years, ≥70 years), * EP score alone. This study provide real-life data to determine the clinical usefulness of this molecular signature in the management of early HR+/HER2- breast cancers. The ultimate goal is to be able to offer therapeutic de-escalation (avoiding chemotherapy) to patients who are reliably assessed as having a low risk of relapse.
Age
18 - No limit years
Sex
FEMALE
Healthy Volunteers
No
Hôpital Saint-Louis
Paris, France
Start Date
June 28, 2026
Primary Completion Date
June 28, 2031
Completion Date
June 28, 2031
Last Updated
March 13, 2026
1,000
ESTIMATED participants
Endopredict test
OTHER
Lead Sponsor
Assistance Publique - Hôpitaux de Paris
NCT07071402
NCT06478589
Data Source & Attribution
This clinical trial information is sourced from ClinicalTrials.gov, a service of the U.S. National Institutes of Health.
Modifications: This data has been reformatted for display purposes. Eligibility criteria have been parsed into inclusion/exclusion sections. Location data has been geocoded to enable distance-based search. For the authoritative and most current information, please visit ClinicalTrials.gov.
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View ClinicalTrials.gov Terms and ConditionsNCT06729684