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Personalized recurrence risk prediction in early-stage breast cancer through an integrative mathematical model based on MammaPrint®, radiotherapy, phenotype, and clinicopathological factors

Crossref DOI link: https://doi.org/10.1007/s12094-025-04065-y

Published Online: 2025-10-03

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Mazón, J. Sánchez https://orcid.org/0009-0002-4662-1374
de Juan Ferré, A.

Vega, J. M. López

López, C. López
Funding

Funding for this research was provided by:

Universidad de Cantabria
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Text and Data Mining valid from 2025-10-03

Version of Record valid from 2025-10-03
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Article History

Received: 28 June 2025

Accepted: 19 September 2025

First Online: 3 October 2025

Declarations

:

: The authors declare that there is no conflict of interest.

: This study was approved by the relevant institutional ethics board.

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