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. 2024 Jan:196:113438.
doi: 10.1016/j.ejca.2023.113438. Epub 2023 Nov 14.

Treatment and outcomes in breast cancer patients: A cross section study from the EUSOMA breast centre network

Collaborators, Affiliations

Treatment and outcomes in breast cancer patients: A cross section study from the EUSOMA breast centre network

Cynthia Aristei et al. Eur J Cancer. 2024 Jan.

Abstract

Introduction: The present study was designed to describe tumour features and treatments for patients with breast cancer. It also aimed at assessing the risk of distant metastases in relation to biological profiles, disease stages and treatment.

Methods: Data were analysed from 81,882 patients in the EUSOMA database (disease stages at diagnosis 0-IV; median age 61 years; range 20-100 years). All patients were treated between January 2016 and December 2021 in 53 Breast Centres within the EUSOMA certification process in 13 European countries. Cases were classified as HR+ /HER2-, HR+ /HER2 + , HR-/HER2 + or HR-/HER2- and data were analysed accordingly.

Results: Univariable and multivariable analyses for distant metastases were conducted on a subset of 38,119 cases with information on whether or not they had developed them. Potential determinants included sub-group type, Ki67 value, disease stage, adjuvant systemic therapies and post-operative radiation therapy. In multivariable analysis, the HR-/HER2 + and HR-/HER2- sub-groups were associated with a higher risk of distant metastases than HR+ /HER2-. Ki67 > 20 % and advanced stage disease also carried a high risk. Radiation therapy emerged as a protective factor against distant metastases.

Conclusions: Present results show a large patient database offers an information stream that can be applied to reduce uncertainties in clinical practice. Database parameters need to be updated dynamically for outcome monitoring. Molecular prognostic factors, gene-expression signatures, tumour-infiltrating lymphocytes and circulating tumoral DNA should be added.

Keywords: Breast cancer; Breast cancer treatments; Large database; Metastases; Protective factors; Risk factors.

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Conflict of interest statement

Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: LG: Advisory Board: Astra Zeneca/Daiichi Sankyo, Seagen. Support for attending meetings and/or travel: Ipsen, Novartis, Pfizer. Other non-financial interests: Member of Olympia Steering committee. FPD: Grants or contracts from any entity: Fondation belge contre le cancer (post-doctoral research grant). Consulting fees: Roche, Pfizer, AstraZeneca, Lilly, Novartis, Amgen, Daiichi Sankyo, Pierre Fabre, Gilead Sciences, Seagen, MSD (payment made to my institution). Support for attending meetings and/or travel: Amgen, Roche, Teva, Pfizer, Daiichi Sankyo/AstraZeneca, Gilead Sciences.