Frontiers in ImmunologyImmunologyPeer-reviewed journal article
A comprehensive analysis of humanized mouse models for the study of cancer immunotherapies
Philippe De La RochèreiD, Laure Loumagne, Mélanie Rathaux, Marine DuboisiD, Jordan Denizeau, Fariba NématiiD, Sophie VieliD, Dario Rocha, Tamara Slavnic, Jayant Thatted, Christine SedlikiD, Xuesong Ouyang, Didier DecaudiniD, Georges A. AzariD, Sukhvinder SidhuiD, Eliane PiaggioiD
Abstract
Humanized immune system (HIS) mouse models, generated by engrafting tumors and hematopoietic cells of human (Hu) origin into immunodeficient host mice, effectively recapitulate key aspects of the crosstalk between human immune cells and tumors. These models represent a valuable tool for the preclinical evaluation of immunotherapies. In this study, we provide a comprehensive comparison of two widely used HIS models: the Hu-CD34+ model, which engrafts Hu-hematopoietic cells derived from Hu-CD34+ hematopoietic stem cells (HSCs), and the Hu-PBMC model, which utilizes Hu-peripheral blood mononuclear cells (PBMCs). We assess the kinetics, quality and extent of immune cell engraftment, as well as the development of graft-versus-host disease (GVHD). Additionally, we investigate the impact of different immunodeficient host mouse strains on immune cell reconstitution in the Hu-CD34+ model. Both HIS models were engrafted with human tumors derived from either cell lines or patient-derived xenografts (PDX), revealing distinct immune-tumor interactions that influenced antitumor responses. Notably, tumor responses to T-cell-directed therapies, including anti-PD1 antibodies, IL-2-anti-IL-2 antibody complexes, and T-cell engagers, varied across these models. Our findings provide novel insights into the properties and limitations of HIS models, offering a critical resource for optimizing next-generation immuno-oncology strategies and guiding the design of future therapeutic interventions.
- organism: mouse
- research focus: cancer & tumor microenvironment
- research focus: host-pathogen & immune response
- research focus: benchmarking
- approach: experimental assay
- Citations
- 6
- FWCI
- 17.63
- Field percentile
- top 1%
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