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Addressing genetic tumor heterogeneity through computationally predictive combination therapy

Recent tumor sequencing data suggests an urgent need to develop a methodology to directly address intra-tumor heterogeneity in the design of anti-cancer treatment regimens. We use RNA interference to model heterogeneous tumors, and demonstrate successful validation of computational predictions for h...

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Autores principales: Zhao, Boyang, Pritchard, Justin R., Lauffenburger, Douglas A., Hemann, Michael T.
Formato: Artigo
Lenguaje:Inglês
Publicado: 2013
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Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC3975231/
https://ncbi.nlm.nih.gov/pubmed/24318931
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1158/2159-8290.CD-13-0465
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