Development and validation of the PORTRET tool to predict recurrence, overall survival, and other-cause mortality in older patients with breast cancer in the Netherlands: a population-based study.

Autor:	van der Plas-Krijgsman WG; Department of Medical Oncology, Leiden University Medical Center, Leiden, Netherlands., Giardiello D; Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, Netherlands; Division of Molecular Pathology, The Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Amsterdam, Netherlands; Eurac Research, Institute for Biomedicine, Bolzano, Italy., Putter H; Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, Netherlands., Steyerberg EW; Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, Netherlands; Department of Public Health, Erasmus MC, Rotterdam, Netherlands., Bastiaannet E; Department of Medical Oncology, Leiden University Medical Center, Leiden, Netherlands; Department of Surgery, Leiden University Medical Center, Leiden, Netherlands., Stiggelbout AM; Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, Netherlands., Mooijaart SP; Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, Netherlands., Kroep JR; Department of Medical Oncology, Leiden University Medical Center, Leiden, Netherlands., Portielje JEA; Department of Medical Oncology, Leiden University Medical Center, Leiden, Netherlands., Liefers GJ; Department of Surgery, Leiden University Medical Center, Leiden, Netherlands. Electronic address: g.j.liefers@lumc.nl., de Glas NA; Department of Medical Oncology, Leiden University Medical Center, Leiden, Netherlands.
Jazyk:	angličtina
Zdroj:	The lancet. Healthy longevity [Lancet Healthy Longev] 2021 Nov; Vol. 2 (11), pp. e704-e711. Date of Electronic Publication: 2021 Nov 03.
DOI:	10.1016/S2666-7568(21)00229-4
Abstrakt:	Background: Current prediction tools for breast cancer outcomes are not tailored to the older patient, in whom competing risk strongly influences treatment effects. We aimed to develop and validate a prediction tool for 5-year recurrence, overall mortality, and other-cause mortality for older patients (aged ≥65 years) with early invasive breast cancer and to estimate individualised expected benefits of adjuvant systemic treatment. Methods: We selected surgically treated patients with early invasive breast cancer (stage I-III) aged 65 years or older from the population-based FOCUS cohort in the Netherlands. We developed prediction models for 5-year recurrence, overall mortality, and other-cause mortality using cause-specific Cox proportional hazard models. External validation was performed in a Dutch Cancer registry cohort. Performance was evaluated with discrimination accuracy and calibration plots. Findings: We included 2744 female patients in the development cohort and 13631 female patients in the validation cohort. Median age was 74·8 years (range 65-98) in the development cohort and 76·0 years (70-101) in the validation cohort. 5-year follow-up was complete for more than 99% of all patients. We observed 343 and 1462 recurrences, and 831 and 3594 deaths, of which 586 and 2565 were without recurrence, in the development and validation cohort, respectively. The area under the receiver-operating-characteristic curve at 5 years in the external dataset was 0·76 (95% CI 0·75-0·76) for overall mortality, 0·76 (0·76-0·77) for recurrence, and 0·75 (0·74-0·75) for other-cause mortality. Interpretation: The PORTRET tool can accurately predict 5-year recurrence, overall mortality, and other-cause mortality in older patients with breast cancer. The tool can support shared decision making, especially since it provides individualised estimated benefits of adjuvant treatment. Funding: Dutch Cancer Foundation and ZonMw. Competing Interests: Declaration of interests We declare no competing interests. (Copyright © 2021 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND 4.0 license. Published by Elsevier Ltd.. All rights reserved.)
Databáze:	MEDLINE
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