Marissa C van Maaren1, Luc J A Strobbe2, Marjolein L Smidt3, Martine Moossdorff4, Philip M P Poortmans5, Sabine Siesling6. 1. Department of Research, Netherlands Comprehensive Cancer Organisation, Utrecht, The Netherlands; Department of Health Technology & Services Research, MIRA Institute for Biomedical Technology and Technical Medicine, University of Twente, Enschede, The Netherlands. Electronic address: m.vanmaaren@iknl.nl. 2. Department of Surgical Oncology, Canisius Wilhelmina Hospital, Nijmegen, The Netherlands. 3. Department of Surgical Oncology, Maastricht University Medical Centre, Maastricht, The Netherlands. 4. Department of Surgical Oncology, Zuyderland Medical Centre, Sittard-Geleen, The Netherlands. 5. Department of Radiation Oncology, Institut Curie, Paris, France. 6. Department of Research, Netherlands Comprehensive Cancer Organisation, Utrecht, The Netherlands; Department of Health Technology & Services Research, MIRA Institute for Biomedical Technology and Technical Medicine, University of Twente, Enschede, The Netherlands.
Abstract
BACKGROUND: Survival estimates from diagnosis are of limited importance for (ex-)breast cancer patients who survived several years, as it includes information on already deceased patients. This study analysed the 10-year conditional risk of recurrent breast cancer in specific prognostic subgroups. Second, we investigated 10-year conditional overall survival (OS) and relative survival (RS), adjusted for confounding. PATIENTS AND METHODS: All women diagnosed in 2005 with operated T1-2N0-1 breast cancer were selected from the Netherlands Cancer Registry. Patients were classified into T1N0, T1N1, T2N0 and T2N1 stage. Ten-year conditional recurrence rates were calculated from diagnosis, and for patients without an event (local [LR], regional recurrence [RR], distant metastasis [DM] or death) every year following diagnosis. Ten-year conditional OS was calculated using multivariable Cox regression. RS was estimated by dividing patient survival rates by those of the general Dutch population. RESULTS: We included 7969 patients: 52.3% had T1N0, 15.3% T1N1, 19.9% T2N0 and 12.5% T2N1 stage. For T1N0, 10-year LR rates changed from 4.6% at diagnosis to 0.5% in year 10. RR rates changed from 2.3% to 0.2%, and DM rates changed from 7.8% to 0.6%. For T2N1 stage, the LR, RR and DM rates changed from 6.2% to 0.8%, 5.2%-0.4% and 19.6%-1.5%, respectively. For the luminal A subtype, LR, RR and DM rates changed from 3.9% to 0.4%, 1.7%-0.5% and 7.3%-1.1%, while for triple negative, these rates changed from 5.6% to 0.7%, 4.9%-0.2% and 16.7%-0%, respectively. Differences between subgroups attenuated over time, and all recurrence rates became ≤1.5% in year 10. Ten-year OS and RS, adjusted for confounding, showed declining risk differences between subgroups over time. CONCLUSION: Differences in recurrence rates, OS and RS between prognostic subgroups declined as years passed by. These results highlight the importance of taking into account disease-free years to more accurately predict (ex-)breast cancer patients' prognosis over time.
BACKGROUND: Survival estimates from diagnosis are of limited importance for (ex-)breast cancerpatients who survived several years, as it includes information on already deceased patients. This study analysed the 10-year conditional risk of recurrent breast cancer in specific prognostic subgroups. Second, we investigated 10-year conditional overall survival (OS) and relative survival (RS), adjusted for confounding. PATIENTS AND METHODS: All women diagnosed in 2005 with operated T1-2N0-1 breast cancer were selected from the Netherlands Cancer Registry. Patients were classified into T1N0, T1N1, T2N0 and T2N1 stage. Ten-year conditional recurrence rates were calculated from diagnosis, and for patients without an event (local [LR], regional recurrence [RR], distant metastasis [DM] or death) every year following diagnosis. Ten-year conditional OS was calculated using multivariable Cox regression. RS was estimated by dividing patient survival rates by those of the general Dutch population. RESULTS: We included 7969 patients: 52.3% had T1N0, 15.3% T1N1, 19.9% T2N0 and 12.5% T2N1 stage. For T1N0, 10-year LR rates changed from 4.6% at diagnosis to 0.5% in year 10. RR rates changed from 2.3% to 0.2%, and DM rates changed from 7.8% to 0.6%. For T2N1 stage, the LR, RR and DM rates changed from 6.2% to 0.8%, 5.2%-0.4% and 19.6%-1.5%, respectively. For the luminal A subtype, LR, RR and DM rates changed from 3.9% to 0.4%, 1.7%-0.5% and 7.3%-1.1%, while for triple negative, these rates changed from 5.6% to 0.7%, 4.9%-0.2% and 16.7%-0%, respectively. Differences between subgroups attenuated over time, and all recurrence rates became ≤1.5% in year 10. Ten-year OS and RS, adjusted for confounding, showed declining risk differences between subgroups over time. CONCLUSION: Differences in recurrence rates, OS and RS between prognostic subgroups declined as years passed by. These results highlight the importance of taking into account disease-free years to more accurately predict (ex-)breast cancerpatients' prognosis over time.
Authors: R Haarsma; A A van Loevezijn; M L Donswijk; A N Scholten; M T F D Vrancken Peeters; F H van Duijnhoven Journal: Breast Cancer Res Treat Date: 2022-06-21 Impact factor: 4.624
Authors: Ramon Clèries; Maria Buxó; Mireia Vilardell; Alberto Ameijide; José Miguel Martínez; Rebeca Font; Rafael Marcos-Gragera; Montse Puigdemont; Gemma Viñas; Marià Carulla; Josep Alfons Espinàs; Jaume Galceran; Ángel Izquierdo; Josep Maria Borràs Journal: Int J Environ Res Public Health Date: 2022-03-18 Impact factor: 3.390