Literature DB >> 30077656

Humanized Mice for the Study of Immuno-Oncology.

Philippe De La Rochere1, Silvia Guil-Luna2, Didier Decaudin3, Georges Azar4, Sukhvinder S Sidhu4, Eliane Piaggio5.   

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.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  humanized mice; immuno-therapy; preclinical research

Mesh:

Year:  2018        PMID: 30077656     DOI: 10.1016/j.it.2018.07.001

Source DB:  PubMed          Journal:  Trends Immunol        ISSN: 1471-4906            Impact factor:   16.687


  65 in total

Review 1.  Mouse Models of Oncoimmunology in Hepatocellular Carcinoma.

Authors:  Erin Bresnahan; Katherine E Lindblad; Marina Ruiz de Galarreta; Amaia Lujambio
Journal:  Clin Cancer Res       Date:  2020-04-23       Impact factor: 12.531

Review 2.  Mouse models in hematopoietic stem cell gene therapy and genome editing.

Authors:  Stefan Radtke; Olivier Humbert; Hans-Peter Kiem
Journal:  Biochem Pharmacol       Date:  2019-11-06       Impact factor: 5.858

Review 3.  Humanized mouse model: a review on preclinical applications for cancer immunotherapy.

Authors:  Ling Yin; Xue-Jing Wang; De-Xi Chen; Xiao-Ni Liu; Xiao-Jun Wang
Journal:  Am J Cancer Res       Date:  2020-12-01       Impact factor: 6.166

4.  The "Virtual Digital Twins" Concept in Precision Nutrition.

Authors:  Kalliopi Gkouskou; Ioannis Vlastos; Petros Karkalousos; Dimitrios Chaniotis; Despina Sanoudou; Aristides G Eliopoulos
Journal:  Adv Nutr       Date:  2020-11-16       Impact factor: 8.701

Review 5.  Patient-derived xenograft models for personalized medicine in colorectal cancer.

Authors:  Jun Xie; Yan Lin
Journal:  Clin Exp Med       Date:  2020-02-25       Impact factor: 3.984

Review 6.  Considerations for designing preclinical cancer immune nanomedicine studies.

Authors:  Wen Jiang; Yifan Wang; Jennifer A Wargo; Frederick F Lang; Betty Y S Kim
Journal:  Nat Nanotechnol       Date:  2020-12-21       Impact factor: 39.213

7.  Methods to assess anticancer immune responses in orthotopic bladder carcinomas.

Authors:  Randy F Sweis
Journal:  Methods Enzymol       Date:  2019-10-24       Impact factor: 1.600

8.  ImmunoPET: Concept, Design, and Applications.

Authors:  Weijun Wei; Zachary T Rosenkrans; Jianjun Liu; Gang Huang; Quan-Yong Luo; Weibo Cai
Journal:  Chem Rev       Date:  2020-03-23       Impact factor: 60.622

9.  Leveraging Patient-Derived Models for Immunotherapy Research.

Authors:  Katerina Politi
Journal:  Am Soc Clin Oncol Educ Book       Date:  2020-05

10.  Retained or altered expression of major histocompatibility complex class I in patient-derived xenograft models in breast cancer.

Authors:  In Hye Song; Young-Ae Kim; Hyeonjin Lee; Hye Seon Park; In Ah Park; Chan Kyu Sim; Myeong Sup Lee; Gyungyub Gong; Hee Jin Lee
Journal:  Immunol Res       Date:  2019-12       Impact factor: 2.829

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