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https://hdl.handle.net/2183/49157

Identification of a Robust 49-Gene Prognostic Signature for Triple-Negative Breast Cancer using Feature Selection in the SCAN-B Cohort

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FernandezLozano_Carlos_2026_Identification_of_a_Robust_49_Gene_Prognostic_Signature.pdf (2.52 MB)

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URI: https://hdl.handle.net/2183/49157
DOI: 10.1002/1878-0261.70318

Publication date

2026

Authors

Martínez-Rodríguez, Lucía
Vázquez del Río, Patricia

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Journal Title

Bibliographic citation

L. Martínez-Rodríguez, J. Liñares-Blanco, P. V. del Río, and C. Fernández-Lozano, "Identification of a Robust 49-Gene Prognostic Signature for Triple-Negative Breast Cancer using Feature Selection in the SCAN-B Cohort", Abstract EACR26-1353, Molecular Oncology 20 (Suppl. 1), pp. 47-48, August 2026, ISSN 1878-0261, https://doi.org/10.1002/1878-0261.70318

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Abstract

[Abstract]: This study identifies a robust 49-gene prognostic signature for triple-negative breast cancer (TNBC) using the Fast Correlation-Based Filter (FCBF) algorithm on the SCAN-B cohort, demonstrating high predictive accuracy when combined with clinical covariates like age.

Description

Abstract do poster presentado en: Annual Congress of the European Association for Cancer Research (EACR 2026): Innovative Cancer Science, 8-11 June 2026, Budapest, Hungría. Abstracts do congreso en: https://febs.onlinelibrary.wiley.com/doi/epdf/10.1002/1878-0261.70318. Póster dispoñible en: https://hdl.handle.net/2183/49163.

Keywords

Triple-negative breast cancer Prognostic gene signature Fast Correlation-Based Filter

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Attribution 4.0 International

Except where otherwise noted, this item's license is described as Attribution 4.0 International