Listar MD - Artículos por autor "Márquez, Antonia"
Mostrando ítems 1-2 de 2
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Machine learning and natural language processing (NLP) approach to predict early progression to first-line treatment in real-world hormone receptor-positive (HRþ)/HER2-negative advanced breast cancer patients.
Ribelles, Nuria; Jerez-Aragonés, José Manuel
; Rodríguez-Brazzarola, Pablo; Jiménez-Rodríguez, Begoña; Díaz-Redondo, Tamara; Mesa, Héctor; Márquez, Antonia; Sánchez-Muñoz, Alfonso; Pajares, Bella; Carabantes, Francisco; Bermejo-Pérez, María José; Villar, Ester; Domínguez-Recio, María Emilia; Saez-Lara, Enrique; Gálvez Carvajal, Laura; Godoy-Ortiz, Ana; Franco, Leónardo; Ruiz-Medina, Sofía; López, Irene; Alba-Conejo, Emilio[et al.] (Elsevier, 2021)
Background: CDK4/6 inhibitors plus endocrine therapies are the current standard of care in the first-line treatment of HRþ/HER2-negative metastatic breast cancer, but there are no well-established clinical or molecular ... -
Pattern of recurrence of early breast cancer is different according to intrinsic subtype and proliferation index.
Ribelles, Nuria; Jerez-Aragonés, José Manuel; Pajares, Bella; Vicioso-Recio, Luis Prudencio; Jiménez-Rodríguez, Begoña; De Luque, Vanessa; Franco, Leónardo; Gallego-Domínguez, Elena María; Márquez, Antonia; Álvarez, Martina; Sánchez-Muñoz, Alfonso; Pérez-Rivas, Luis G.; Alba-Conejo, Emilio; Ribelles, Nuria[et al.] (BMC, 2013-10-22)
Recurrence risk in breast cancer varies throughout the follow-up time. We examined if these changes are related to the level of expression of the proliferation pathway and intrinsic subtypes. Results: Luminal A displayed ...