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Title: No Excess Mortality up to 10 Years in Early Stages of Breast Cancer in Women Adherent to Oral Endocrine Therapy: A Probabilistic Graphical Modeling Approach
Author: Clèries Soler, Ramon
Buxó, Maria
Vilardell, Mireia
Ameijide, Alberto
Martínez, José Miguel
Font, Rebeca
Marcos Gragera, Rafael
Puigdemont, Montserrat
Viñas, Gemma
Carulla, Marià
Espinàs Piñol, Josep Alfons
Galceran, Jaume
Izquierdo i Font, Àngel Xavier
Borràs, Josep Maria
Keywords: Càncer de mama
Breast cancer
Issue Date: 18-Mar-2022
Publisher: MDPI AG
Abstract: Breast cancer (BC) is globally the most frequent cancer in women. Adherence to endocrine therapy (ET) in hormone-receptor-positive BC patients is active and voluntary for the first five years after diagnosis. This study examines the impact of adherence to ET on 10-year excess mortality (EM) in patients diagnosed with Stages I to III BC (N = 2297). Since sample size is an issue for estimating age- and stage-specific survival indicators, we developed a method, ComSynSurData, for generating a large synthetic dataset (SynD) through probabilistic graphical modeling of the original cohort. We derived population-based survival indicators using a Bayesian relative survival model fitted to the SynD. Our modeling showed that hormone-receptor-positive BC patients diagnosed beyond 49 years of age at Stage I or beyond 59 years at Stage II do not have 10-year EM if they follow the prescribed ET regimen. This result calls for developing interventions to promote adherence to ET in patients with hormone receptor-positive BC and in turn improving cancer survival. The presented methodology here demonstrates the potential use of probabilistic graphical modeling for generating reliable synthetic datasets for validating population-based survival indicators when sample size is an issue.
Note: Reproducció del document publicat a:
It is part of: International Journal of Environmental Research and Public Health, 2022, vol. 19, num. 6
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ISSN: 1660-4601
Appears in Collections:Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL))

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