Clinical drug response can be predicted using baseline gene expression levels and in vitro drug sensitivity in cell lines.
作者： Paul Geeleher , Nancy J Cox , R Huang
关键词: Drug 、 In vivo 、 Gene expression 、 Human genome 、 Primary tumor 、 Computational biology 、 Biology 、 Gene 、 Clinical trial 、 Bioinformatics 、 Cell culture
摘要: We demonstrate a method for the prediction of chemotherapeutic response in patients using only before-treatment baseline tumor gene expression data. First, we fitted models whole-genome against drug sensitivity large panel cell lines, that allows every to influence prediction. Following data homogenization and filtering, these were applied levels from primary biopsies, yielding an vivo validated this approach three independent clinical trial datasets, obtained predictions equally good, or better than, signatures derived directly
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