Literature DB >> 28892144

Development and Applications of Patient-Derived Xenograft Models in Humanized Mice for Oncology and Immune-Oncology Drug Discovery.

Bhavna Verma1, Michael Ritchie1, Maria Mancini1.   

Abstract

With the recent approval of four novel immune oncology agents for the treatment of various cancers, the emerging power of this drug class has been substantiated. However, the full potential of such agents is yet to be realized, with only a fraction of the patient population responding to these drugs. A more advanced pre-clinical and translational research platform may increase our understanding of the mechanisms associated with immune-mediated cancer cell death, thereby facilitating the design and development of more generally efficacious agents and drug regimens. Described in this report are the nuances, advantages, and limitations of such a research approach. © 2017 by John Wiley & Sons, Inc.
Copyright © 2017 John Wiley & Sons, Inc.

Entities:  

Keywords:  PDX; humanized mice; immune oncology; oncology; patient-derived xenografts; pharmacology

Mesh:

Year:  2017        PMID: 28892144     DOI: 10.1002/cpph.26

Source DB:  PubMed          Journal:  Curr Protoc Pharmacol        ISSN: 1934-8282


  3 in total

1.  Emerging Molecular Technologies in Genitourinary Tumors.

Authors:  Francesca Giunchi; Alessia Cimadamore; Michelangelo Fiorentino
Journal:  Front Oncol       Date:  2018-10-30       Impact factor: 6.244

2.  Autologous humanized mouse models to study combination and single-agent immunotherapy for colorectal cancer patient-derived xenografts.

Authors:  Preeti Kanikarla Marie; Alexey V Sorokin; Lea A Bitner; Rebecca Aden; Michael Lam; Ganiraju Manyam; Melanie N Woods; Amanda Anderson; Anna Capasso; Natalie Fowlkes; Michael J Overman; David G Menter; Scott Kopetz
Journal:  Front Oncol       Date:  2022-09-21       Impact factor: 5.738

Review 3.  Roles of the immune system in cancer: from tumor initiation to metastatic progression.

Authors:  Hugo Gonzalez; Catharina Hagerling; Zena Werb
Journal:  Genes Dev       Date:  2018-10-01       Impact factor: 11.361

  3 in total

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