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Humanized Models

Humanized models allow investigation of the human immune system with tumors.

Superior PDX & CDX
Humanized Mouse Models

Champions supports your preclinical immuno-oncology (IO) research by providing cutting-edge humanized mouse model solutions specific for human immune targets. Multiple options are available to investigate and harness the human immune system in your studies.

  • Engraftment of cell therapies such as CAR T, CAR B, CAR NK, CAR macrophages, and DCs into the murine host
  • Adoptive transfer of Human PBMCs and NK cells in our PBMC ImmunoGraft® and NK ImmunoGraft® models: ideal for antibody-based therapeutics, and agents targeting T cells or NK cells

  • Engraftment of CD34+ hematopoietic stem cells from cord blood for full reconstitution of the human immune system in our CD34 Cell ImmunoGraft®

Preferred Platform for Preclinical Immuno-Oncology Drug Testing


Humanized mouse models are the preferred preclinical platform to test IO drug candidates in vivo, allowing drug candidates to harness human immune cells to fight the tumor.

We offer the reconstitution of a fully functional human immune system including T and B lymphocytes, macrophages, DCs, and NK cells, by leveraging transgenic mouse strains. In partnership with TransCure, we offer customizable gene delivery through hydrodynamic boosting, which promotes differentiation into different human immune populations.

This innovative platform allows clients to evaluate the efficacy, pharmacodynamics, and mechanisms of action of various cancer therapeutics that modulate human immunity, such as checkpoint inhibitors, monoclonal antibodies, therapeutic cancer vaccines, and cytokine-based therapies. 

Results from an humanized study in response to Amgen's BiTE therapy.


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Syngeneic mouse models are preclinical in vivo models used to evaluate therapeutic candidates in mice with intact immune system. Humanized mouse models support the engraftment of many functional components of the human immune system. This Quick Guide gives a comparison of the two models and weighs the benefits and challenges of these models for oncology research.


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