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

Martínez-Rodríguez, LucíaLiñares Blanco, JoséVázquez del Río, PatriciaFernández-Lozano, Carlos2026-09-042026-09-042026L. 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/10.1002/1878-0261.703181878-02611574-7891https://hdl.handle.net/2183/49157Abstract 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.[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.engAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/Triple-negative breast cancerPrognostic gene signatureFast Correlation-Based FilterIdentification of a Robust 49-Gene Prognostic Signature for Triple-Negative Breast Cancer using Feature Selection in the SCAN-B Cohortconference outputopen access10.1002/1878-0261.70318