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Generation of biological association networks: A novel strategy to detect new targets in cancer therapy

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The aim of this work was to design a novel strategy to detect new targets for anticancer treatments. The rationale was to build Biological Association Networks from differentially expressed genes in drug-resistant cells to identify important nodes within the Networks. These nodes may represent putative targets to attack in cancer therapy, as a way to destabilize the gene network developed by the resistant cells to escape from the drug pressure. As a model we used cells resistant to methotrexate (MTX), an inhibitor of DHFR. Selected node-genes were analyzed at the transcriptional level and from a genotypic point of view. In colon cancer cells, DHFR, the AKR1 family, PKC¿, S100A4, DKK1, and CAV1 were overexpressed while E-cadherin was lost. In breast cancer cells, the UGT1A family was overexpressed, whereas EEF1A1 was overexpressed in pancreatic cells. Interference RNAs directed against these targets sensitized cells towards MTX.

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Podeu consultar el llibre complet a: http://www.trnres.com/ebookcontents.php?id=149

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SELGA I COMA, Elisabet, ALMAGRO GARCÍA, Ma. cristina de, OLEAGA SANCHO, Carlota, MENCÍA TRINCHANT, Núria, RAMÍREZ, Sara, RUIZ, F. xavier, FARRÉS I VICÉN, Jaume, PARÉS I CASASAMPERA, Xavier, THIBAUT, Rémi, PORTE VISA, Cinta, NOÉ MATA, Verónica, CIUDAD I GÓMEZ, Carlos julián. Generation of biological association networks: A novel strategy to detect new targets in cancer therapy. _Recent Advances in Pharmaceutical Sciences_. 2011. Vol.  Chapter 1, núm. 1-33. [consulta: 22 de gener de 2026]. [Disponible a: https://hdl.handle.net/2445/21368]

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