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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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Reproducció del capítol 1 del llibre publicat a: http://www.trnres.com/ebookcontents.php?id=106

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Recent Advances in Pharmaceutical Sciences, 2011, Chapter 1, p. 1-33. Editor: Diego Muñoz-Torrero

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Llibres / Capítols de llibre (Bioquímica i Biomedicina Molecular)

# metadata.dc.title[].value
Generation of biological association networks: A novel strategy to detect new targets in cancer therapy