Pretreated PDX Models

Pretreated PDX (Patient-Derived Xenograft) models are advanced research tools created by implanting human tumor tissue—previously exposed to specific cancer therapies and establishing them in animal models. This process allows researchers to study how tumors that have already been treated with drugs behave and evolve, including their mechanisms of resistance to those treatments. By mimicking real-world patient scenarios, pretreated PDX models offer valuable insights into the efficacy and resistance patterns of new anticancer therapies, enhancing the development of more effective treatments and minimizing risks in clinical trials.

Evaluating novel cancer therapies using Champion's biobank of pretreated PDX models offers several benefits, including:

Study Drug Resistance Mechanisms: A robust bank of 700+ pretreated models to investigate how tumors develop resistance to current treatments and identify new targets or strategies to counteract this resistance.

Evaluate Therapeutic Efficacy: Evaluate therapeutic efficacy of your novel therapies by testing them on a bank of pretreated models exposed to the latest therapies such as small molecule inhibitors, chemotherapy, antibodies, immunotherapeutics, and more.

Optimizing your pipeline and discovering new targets: Using pretreated PDX models helps optimize your test agents by understanding molecular interactions between the current line of treatments and cancers and identifying new drug targets, paving the way for more effective second- and third-line therapies.

Reducing Drug Development Costs: Utilizing pretreated PDX models in early drug testing can lower cancer drug development expenses by eliminating ineffective compounds before advancing to costly human clinical trials.

You can access Champions’ database for model selection in Lumin:

Navigate to Lumin.bio and request access to Lumin Analytics.

There, you can use Model Select to search our database filtering for the tumor type and pretreatment of your need. You can also filter for in vivo response, molecular characteristics, and patient profile, to make your model selection the most precise and your studies the most successful.