Description
Xenograft models remain a cornerstone technology in the development of anti-cancer agents. The ability of immunocompromised rodents to support the growth of human tumors provides an invaluable transition between in vitro testing and clinical trials. Therefore, approaches to improve model selection are required. In this study, cDNA microarray data was generated for a collection of xenograft models at in vivo passages 1, 4 and 10 (P1, P4 and P10) along with originating cell lines (P0). These data can be mined to determine transcript expression 1) relative to other models 2) with successive in vivo passage and 3) during the in vitro (P0) to in vivo (P1) transition.