Explaining the Relationships Between Age, Endocrine Therapy Persistence, and Risk of Recurrence in Hormone Receptor–Positive Early Breast Cancer: A Nationwide Cohort Study
Abstract
PURPOSE Young age is associated with increased risk of recurrence in hormone receptor (HR)–positive early-stage breast cancer (eBC). Lack of adherence to endocrine therapy (ET) is a potential reason for the lower survival proportions observed in younger patients, but the survival benefits of improving adherence to ET in young patients remain unknown. MATERIALS AND METHODS Using data from the French National Health Data System and target trial emulation methods, we considered three sustained ET persistence strategies (allowing treatment gaps of no more than 30, 90, or 180 continuous days) and estimated the 5-year disease-free survival (DFS) benefit of sustained ET persistence compared with observed ET persistence. RESULTS A total of 121,601 patients with HR-positive eBC were included in the analyses, of whom 29.8% was younger than 50 years at diagnosis. Younger patients had lower DFS and were more likely to discontinue ET than older patients. In patients 34 years and younger, strict ET persistence (≤30-day gaps) improved 5-year DFS proportions from 74.5% to 78.8% (4.3 percentage points [95% CI, 2.6 to 7.2]) compared with observed persistence. ET persistence strategies allowing for ≤90-day and ≤180-day gaps reduced the 5-year DFS benefit in patients 34 years and younger to 1.3 (95% CI, 0.2 to 3.7) and 1.0 (95% CI, –0.2 to 3.4) percentage points, respectively. By contrast, DFS benefits of improved ET persistence in patients after 50 years old did not exceed 1.9 percentage points, compared with observed persistence, regardless of the persistence definition. CONCLUSION The survival benefit that could be achieved with strict ET persistence in women 34 years and younger with HR-positive eBC highlights the need for tailored strategies to improve ET persistence in this population.
Article Details
Journal Info
Journal of Clinical Oncology
Lippincott Williams & Wilkins
Authors (10)
Elise Dumas
Institut Curie, Paris, France
Floriane Jochum
Institut Curie - Institut Hospitalo Universitaire - Women's Cancer, Paris, France
Florence Coussy
Institut Curie, Paris, France
Anne-Sophie Hamy
Institut Curie, Université Paris Cité, Paris, France
Alena Majdling
Centre René Hughenin, Medical Oncology Department, Saint Cloud, France
Sophie Houzard
Health Data and Assessment, Health Survey Data Science and Assessment Division, French National Cancer Institute (Institut National du Cancer INCa), Boulogne-Billancourt, France
Christine Le Bihan-Benjamin
Health Data and Assessment, Health Survey Data Science and Assessment Division, French National Cancer Institute (Institut National du Cancer INCa), Boulogne-Billancourt, France
Fabien Reyal
Paul Gougis
Department of Medical Oncology, Assistance Publique – Hôpitaux de Paris, Institut Universitaire de Cancérologie, INSERM U1136, CLIP2 Galilée (P.G.)
Mats Julius Stensrud
Institute of Mathematics, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland