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Humanized Mice for the Study of Immuno-Oncology.

Author information

Affiliations

  • 1. INSERM U932, and SiRIC Translational Immunotherapy Team, Translational Research Department, Institut Curie, PSL Research University, Paris F-75005, France.
      Authors
    • De La Rochere P 1
    • Piaggio E 1
    (2 authors)
  • 2. Maimónides Institute for Biomedical Research of Córdoba (IMIBIC), Córdoba, Spain.
      Authors
    • Guil-Luna S 2
    (1 author)
  • 3. Laboratory of Preclinical Investigation, Translational Research Department, and Department of Medical Oncology, Institut Curie, PSL Research University, Paris F-75005, France.
      Authors
    • Decaudin D 3
    (1 author)
  • 4. Sanofi Oncology, 1 Impasse des Ateliers, Vitry Sur Seine, France.
      Authors
    • Azar G 4
    • Sidhu SS 4
    (2 authors)

ORCIDs linked to this article

Trends in Immunology, 02 Aug 2018, 39(9):748-763
https://doi.org/10.1016/j.it.2018.07.001 PMID: 30077656 

Review

Abstract 

Immunotherapy is revolutionizing cancer treatment; however, complete responses are achieved in only a small fraction of patients and tumor types. Thus, there is an urgent need for predictive preclinical models to drive rational immunotherapeutic drug development, treatment combinations, and to minimize failures in clinical trials. Humanized mouse models (HIS) have been developed to study and modulate the interactions between immune components and tumors of human origin. In this review, we discuss recent advances in the 'humanization' of mouse models to improve the quality of human immune cell reconstitution. We also highlight new insights into the basic mechanisms, and provide a preclinical evaluation of onco-immunotherapies, as well as the limitations thereof, which constitute drivers for the improvement of the models to increase their translational power.

Full text links 

Read article at publisher's site: https://doi.org/10.1016/j.it.2018.07.001

Read article for free, from open access legal sources, via Unpaywall: http://helvia.uco.es/xmlui/bitstream/10396/27068/1/De%20la%20Rochere%20et%20al.%2c%202018.pdfUnpaywall

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Funding 

Funders who supported this work.

Labex DCBIOL (2)