Patient Population Identification

To facilitate the identification of the right patient population for each oncology compound, Champions TumorGrafts™ are highly characterized, with the following data available to guide model selection and analysis:

  • Gene expression profile
  • Oncogene mutations
  • Growth and response to standard of care agents
  • Clinical annotations from patients

Our platform enables identification of the most promising development path for a compound in terms of:

  • Tumor types
  • Drug combinations
  • Biomarkers
  • Patient subpopulations

And the platform eliminates wasted development time and expense on not-likely-to-respond indications and patient populations.

References:

  1. Hidalgo M et al. Activity of gemcitabine in direct patient derived xenografts predicts clinical outcome: validation of an in vivo model for drug development. J Clin Oncol 27:15s, 2009 (suppl; abstr 4528)
  2. Hidalgo M et al. A Pilot Study of Treatment Guided by Personalized Tumorgrafts in Patients with Advanced Cancer. Mol Cancer Ther August 2011 10:1311-1316
  3. Rubio-Viqueira B, Jimeno A, Cusatis G, et al. An in vivo platform for translational drug development in pancreatic cancer. Clin Cancer Res. 2006;12:4652-4661.
  4. Champions data on file.