Intra- and interspecies gene expression models for predicting drug response in canine osteosarcoma.

ABSTRACT:

Background

Genomics-based predictors of drug response have the potential to improve outcomes associated with cancer therapy. Osteosarcoma (OS), the most common primary bone cancer in dogs, is commonly treated with adjuvant doxorubicin or carboplatin following amputation of the affected limb. We evaluated the use of gene-expression based models built in an intra- or interspecies manner to predict chemosensitivity and treatment outcome in canine OS. Models were built and evaluated using microarray gene expression and drug sensitivity data from human and canine cancer cell lines, and canine OS tumor datasets. The "COXEN" method was utilized to filter gene signatures between human and dog datasets based on strong co-expression patterns. Models were built using linear discriminant analy

SUBMITTER: Fowles JS 

PROVIDER: S-EPMC4759767 | biostudies-literature | 2016 Feb

REPOSITORIES: biostudies-literature