TumorGraft Features

Champions TumorGrafts® provide a highly focused, accelerated translational platform. This predictive platform is based upon the implantation of primary human tumors in immune-deficient mice followed by propagation of the resulting low-passage Champions TumorGrafts® in a manner that preserves the biological characteristics of the original human tumor.

Histologic and molecular studies have shown that Champions TumorGrafts® models:

  • Maintain the fundamental genotypic and phenotypic features of the original tumor, including cancer stem cells and stroma
  • Represent the genetic heterogeneity of cancer
  • Predict the effectiveness of oncology drugs in patients
  • Allow for the identification of highly responsive patient populations
  • Do not change genetically over multiple passages
  • Correlate genetically with the original patient tumor
  • Exhibit consistent growth and response to standard agents
Patient derived xenograft model

Comparison of gene expression analysis of patients’ head and neck cancer and Champions TumorGraft by microarray expression analysis. 30,000 genes analyzed. Pearson correlation: 94% correlation between cancer gene expression in TG and original tumor. Substantially poorer relationship (20%) when gene expression from cell lines or late passage xenografts compared to primary tumors.

Applicability across Drug Development Continuum

No matter where a compound is in its development life cycle, testing using Champions TumorGraft® (CTG) technology can accelerate future development.

patient-derived xenograft model

The Predictive Quality of TumorGrafts >

Champions Oncology - Specializing in | Personalized Cancer Therapy | Translational Oncology Solutions | Oncology drug development | Oncology drug discovery | Translational oncology | Translation oncology research | Predictive oncology | Patient-derived xenograft model | Tumorgrafts | Alternative/new cancer treatment | Anticancer therapies | Personalized cancer treatment | Personalized cancer therapy | Personalized oncology