In Silico Identification of Common Pre-existing Resistance Mechanisms to EGFR Inhibitors in Colorectal Cancer

Martín-Revuelta, SamuelFernández-Lozano, CarlosLiñares Blanco, José2026-09-032026-09-032025-06S. Martín Revuelta, C. Fernández-Lozano, and J. Liñares-Blanco, "In Silico Identification of Common Pre-existing Resistance Mechanisms to EGFR Inhibitors in Colorectal Cancer", Abstract EACR25-0278, Molecular Oncology 19 (supl. 1), pp. 354-355, June 2025. ISSN 1878-0261. https://doi.org/10.1002/1878-0261.700701878-0261https://hdl.handle.net/2183/49141Abstract do poster presentado en: Annual Congress of the European Association for Cancer Research (EACR 2025), 16–19 June 2025, Lisboa, Portugal. Abstracts: https://febs.onlinelibrary.wiley.com/doi/epdf/10.1002/1878-0261.70070. Póster dispoñible en: https://hdl.handle.net/2183/49142.[Abstract]: This study presents an in silico multi-omic approach combining Non-Negative Matrix Factorization (NMF) and a drug enrichment score to identify pre-existing, shared transcriptomic latent factors driving resistance to EGFR inhibitors in colorectal cancer.engAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/Colorectal cancerEGFR inhibitorsNon-negative matrix factorizationIn Silico Identification of Common Pre-existing Resistance Mechanisms to EGFR Inhibitors in Colorectal Cancerconference outputopen access10.1002/1878-0261.70070