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

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UDC.coleccionInvestigación
UDC.conferenceTitleEACR 2026
UDC.departamentoCiencias da Computación e Tecnoloxías da Información
UDC.grupoInvLaboratorio de Aprendizaxe Automático en Ciencias Vivas (MALL)
UDC.institutoCentroCITIC - Centro de Investigación de Tecnoloxías da Información e da Comunicación
dc.contributor.authorMartínez-Rodríguez, Lucía
dc.contributor.authorLiñares Blanco, José
dc.contributor.authorVázquez del Río, Patricia
dc.contributor.authorFernández-Lozano, Carlos
dc.date.accessioned2026-09-04T11:03:51Z
dc.date.available2026-09-04T11:03:51Z
dc.date.issued2026
dc.descriptionPóster presentado en: Annual Congress of the European Association for Cancer Research (EACR 2026): Innovative Cancer Science, 8-11 June 2026, Budapest, Hungary. Abstract publicado dispoñible en: https://hdl.handle.net/2183/49157
dc.description.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.
dc.description.sponsorshipRePo–SUDOE, with project reference S1/1.1/P0033, a project co–financed by the Interreg Sudoe Programme through the European Regional Development Fund (ERDF). J.L.B. is supported by the Galician Government through the fellowship ED481B_072. Grant PID2024–162441OA–I00 funded by MICIU/AEI/ 10.13039/501100011033 and by “ERDF/EU”.
dc.description.sponsorshipXunta de Galicia; ED481B_072
dc.description.sponsorshipInterreg Sudoe; S1/1.1/P0033
dc.identifier.citationL. 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" [Poster], Annual Congress of the European Association for Cancer Research (EACR 2026): Innovative Cancer Science, 8-11 June 2026, Budapest, Hungary.
dc.identifier.urihttps://hdl.handle.net/2183/49163
dc.language.isoeng
dc.relation.isversionofL. 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
dc.relation.projectIDinfo:eu-repo/grantAgreement//Plan Estatal de Investigación Científica y Técnica y de Innovación 2024-2027/PID2024-162441OA-I00/ES/REDES NEURONALES CONVOLUCIONALES DE GRAFOS EXPLICABLES PARA LA INNOVACION EN ONCOLOGIA DE PRECISION Y RESISTENCIA A MEDICAMENTOS EN CANCER
dc.rights© 2026
dc.rights.accessRightsopen access
dc.subjectTriple-negative breast cancer
dc.subjectPrognostic gene signature
dc.subjectFast Correlation-Based Filter
dc.titleIdentification of a Robust 49-Gene Prognostic Signature for Triple-Negative Breast Cancer using Feature Selection in the SCAN-B Cohort [Poster]
dc.typeconference output
dspace.entity.typePublication
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