Structural similarity assessment for drug sensitivity prediction in cancer.

ABSTRACT:

Background

The ability to predict drug sensitivity in cancer is one of the exciting promises of pharmacogenomic research. Several groups have demonstrated the ability to predict drug sensitivity by integrating chemo-sensitivity data and associated gene expression measurements from large anti-cancer drug screens such as NCI-60. The general approach is based on comparing gene expression measurements from sensitive and resistant cancer cell lines and deriving drug sensitivity profiles consisting of lists of genes whose expression is predictive of response to a drug. Importantly, it has been shown that such profiles are generic and can be applied to cancer cell lines that are not part of the anti-cancer screen. However, one limitation is that the profiles can not be generated for untes

SUBMITTER: Shivakumar P 

PROVIDER: S-EPMC2745688 | biostudies-literature | 2009 Sep

REPOSITORIES: biostudies-literature