Literature DB >> 15120039

Integrating pharmacology and in vivo cancer models in preclinical and clinical drug development.

J K Peterson1, P J Houghton.   

Abstract

Historically, cancer drug development has been a roller coaster. Numerous agents have shown exciting activity in preclinical models and yet have had minimal activity clinically. These disappointments have led to reasonable scepticism about the true value of both syngeneic and xenograft rodent tumour models in accurately identifying agents that will have important clinical utility. Whereas the development of newer techniques, including transgenic mouse models of cancer, offers the potential to develop more predictive models, the role of such mice in cancer drug development is not yet validated. To advance in our understanding of predictive model systems it may be wise to analyse both the successes and the failures of conventional models in order to understand some of their limitations and perhaps to avoid making the same mistakes in the future. Here we review the value and limitations of xenograft models, and the role of integrating preclinical pharmacology in developing new treatments for solid tumours of childhood.

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Year:  2004        PMID: 15120039     DOI: 10.1016/j.ejca.2004.01.003

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  73 in total

1.  Maximizing tumour exposure to anti-neuropilin-1 antibody requires saturation of non-tumour tissue antigenic sinks in mice.

Authors:  Daniela Bumbaca; Hong Xiang; C Andrew Boswell; Ruediger E Port; Shannon L Stainton; Eduardo E Mundo; Sheila Ulufatu; Anil Bagri; Frank-Peter Theil; Paul J Fielder; Leslie A Khawli; Ben-Quan Shen
Journal:  Br J Pharmacol       Date:  2012-05       Impact factor: 8.739

2.  Raising the bar for cancer therapy models.

Authors:  Giulio Francia; Robert S Kerbel
Journal:  Nat Biotechnol       Date:  2010-06       Impact factor: 54.908

Review 3.  Examining the utility of patient-derived xenograft mouse models.

Authors:  Samuel Aparicio; Manuel Hidalgo; Andrew L Kung
Journal:  Nat Rev Cancer       Date:  2015-05       Impact factor: 60.716

4.  Preclinical pharmacokinetics, pharmacodynamics, tissue distribution, and tumor penetration of anti-PD-L1 monoclonal antibody, an immune checkpoint inhibitor.

Authors:  Rong Deng; Daniela Bumbaca; Cinthia V Pastuskovas; C Andrew Boswell; David West; Kyra J Cowan; Henry Chiu; Jacqueline McBride; Clarissa Johnson; Yan Xin; Hartmut Koeppen; Maya Leabman; Suhasini Iyer
Journal:  MAbs       Date:  2016-02-26       Impact factor: 5.857

Review 5.  Nanoparticle design strategies for enhanced anticancer therapy by exploiting the tumour microenvironment.

Authors:  Yunlu Dai; Can Xu; Xiaolian Sun; Xiaoyuan Chen
Journal:  Chem Soc Rev       Date:  2017-05-18       Impact factor: 54.564

6.  Antitumor efficacy testing in rodents.

Authors:  Melinda G Hollingshead
Journal:  J Natl Cancer Inst       Date:  2008-10-28       Impact factor: 13.506

7.  Overview of human primary tumorgraft models: comparisons with traditional oncology preclinical models and the clinical relevance and utility of primary tumorgrafts in basic and translational oncology research.

Authors:  David H Lum; Cindy Matsen; Alana L Welm; Bryan E Welm
Journal:  Curr Protoc Pharmacol       Date:  2012-12

8.  Translational pharmacokinetic-pharmacodynamic modeling from nonclinical to clinical development: a case study of anticancer drug, crizotinib.

Authors:  Shinji Yamazaki
Journal:  AAPS J       Date:  2012-12-19       Impact factor: 4.009

Review 9.  Identifying novel therapeutic agents using xenograft models of pediatric cancer.

Authors:  Raushan T Kurmasheva; Peter J Houghton
Journal:  Cancer Chemother Pharmacol       Date:  2016-05-18       Impact factor: 3.333

10.  Preclinical to Clinical Translation of Antibody-Drug Conjugates Using PK/PD Modeling: a Retrospective Analysis of Inotuzumab Ozogamicin.

Authors:  Alison M Betts; Nahor Haddish-Berhane; John Tolsma; Paul Jasper; Lindsay E King; Yongliang Sun; Subramanyam Chakrapani; Boris Shor; Joseph Boni; Theodore R Johnson
Journal:  AAPS J       Date:  2016-05-19       Impact factor: 4.009

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