Literature DB >> 16563089

What do, can and should we learn from models to evaluate potential anticancer agents?

Susan A Burchill1.   

Abstract

Transfer of new anticancer agents from bench to clinical trial takes in excess of 10 years and costs up to US $500 million. Despite this massive commitment, many more new agents fail in the clinical trials than are successful. The poor performance of many investigational anticancer agents in the clinic implies that the preclinical models used to evaluate them are flawed, inappropriately used or the information they generate is misinterpreted. This article reviews current practice and the range of preclinical models available. The author provides a personal perspective on what information is needed and how in the future this might best be obtained from preclinical models to more effectively inform the transfer of novel, active agents into clinical practice.

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Year:  2006        PMID: 16563089     DOI: 10.2217/14796694.2.2.201

Source DB:  PubMed          Journal:  Future Oncol        ISSN: 1479-6694            Impact factor:   3.404


  11 in total

Review 1.  How can grafted breast cancer models be optimized?

Authors:  Séverine Mollard; Yoanne Mousseau; Yasser Baaj; Laurence Richard; Jeanne Cook-Moreau; Jacques Monteil; Benoît Funalot; Franck G Sturtz
Journal:  Cancer Biol Ther       Date:  2011-11-15       Impact factor: 4.742

2.  Impact of metronomic UFT/cyclophosphamide chemotherapy and antiangiogenic drug assessed in a new preclinical model of locally advanced orthotopic hepatocellular carcinoma.

Authors:  Terence C Tang; Shan Man; Christina R Lee; Ping Xu; Robert S Kerbel
Journal:  Neoplasia       Date:  2010-03       Impact factor: 5.715

3.  Leukemia-free survival as a surrogate end point for overall survival in the evaluation of maintenance therapy for patients with acute myeloid leukemia in complete remission.

Authors:  Marc Buyse; Stefan Michiels; Pierre Squifflet; Kathryn J Lucchesi; Kristoffer Hellstrand; Mats L Brune; Sylvie Castaigne; Jacob M Rowe
Journal:  Haematologica       Date:  2011-05-05       Impact factor: 9.941

4.  Antitumor efficacy testing in rodents.

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

5.  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

6.  Models for prevention and treatment of cancer: problems vs promises.

Authors:  Bharat B Aggarwal; Divya Danda; Shan Gupta; Prashasnika Gehlot
Journal:  Biochem Pharmacol       Date:  2009-05-27       Impact factor: 5.858

7.  Targeted Radionuclide Therapy in Patient-Derived Xenografts Using 177Lu-EB-RGD.

Authors:  Liang Zhao; Haojun Chen; Zhide Guo; Kaili Fu; Lanling Yao; Li Fu; Weixi Guo; Xuejun Wen; Orit Jacobson; Xianzhong Zhang; Long Sun; Hua Wu; Qin Lin; Xiaoyuan Chen
Journal:  Mol Cancer Ther       Date:  2020-08-26       Impact factor: 6.261

8.  Drugs for solid cancer: the productivity crisis prompts a rethink.

Authors:  Daniel Rösel; Jan Brábek; Pavel Veselý; Michael Fernandes
Journal:  Onco Targets Ther       Date:  2013-06-26       Impact factor: 4.147

9.  Assessment of the consistency and robustness of results from a multicenter trial of remission maintenance therapy for acute myeloid leukemia.

Authors:  Marc Buyse; Pierre Squifflet; Kathryn J Lucchesi; Mats L Brune; Sylvie Castaigne; Jacob M Rowe
Journal:  Trials       Date:  2011-03-23       Impact factor: 2.279

Review 10.  Patient-derived xenografts of non small cell lung cancer: resurgence of an old model for investigation of modern concepts of tailored therapy and cancer stem cells.

Authors:  Massimo Moro; Giulia Bertolini; Monica Tortoreto; Ugo Pastorino; Gabriella Sozzi; Luca Roz
Journal:  J Biomed Biotechnol       Date:  2012-04-04
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