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https://hdl.handle.net/2183/49141

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

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FernandezLozano_Carlos_2025_In_Silico_Identification_of_Common_Pre-existing_Resistance_Mechanisms.pdf (2.67 MB)

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URI: https://hdl.handle.net/2183/49141
DOI: 10.1002/1878-0261.70070

Publication date

2025-06

Authors

Martín-Revuelta, Samuel

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Bibliographic citation

S. 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/10.1002/1878-0261.70070

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Abstract

[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.

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Abstract 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.

Keywords

Colorectal cancer EGFR inhibitors Non-negative matrix factorization

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Attribution 4.0 International

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