Literature DB >> 15688078

What's wrong with our cancer models?

Alexander Kamb1.   

Abstract

Oncology, as a therapeutic area, is characterized by a desperate medical need for new drugs; the use of drugs that kill cells and which are consequently often toxic; and rates of failure in expensive Phase III trials that eclipse many other disease areas. The poor performance of most investigational cancer drugs implies that the standard preclinical disease models are faulty or, at least, improperly used. Some studies, however, support the view that cancer models can be highly effective, but only when selected and interpreted with care.

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Year:  2005        PMID: 15688078     DOI: 10.1038/nrd1635

Source DB:  PubMed          Journal:  Nat Rev Drug Discov        ISSN: 1474-1776            Impact factor:   84.694


  86 in total

1.  The Dark Side of the Moon - the Side Effects of Therapy in a Dynamic Era of Breast Cancer Management.

Authors:  Richard Greil
Journal:  Breast Care (Basel)       Date:  2009-06-26       Impact factor: 2.860

2.  Integrated analysis of preclinical data to support the design of the first in man study of LY2181308, a second generation antisense oligonucleotide.

Authors:  Sophie Callies; Valérie André; Bharvin Patel; David Waters; Paul Francis; Michael Burgess; Michael Lahn
Journal:  Br J Clin Pharmacol       Date:  2011-03       Impact factor: 4.335

Review 3.  Heralding a new paradigm in 3D tumor modeling.

Authors:  Eliza L S Fong; Daniel A Harrington; Mary C Farach-Carson; Hanry Yu
Journal:  Biomaterials       Date:  2016-09-02       Impact factor: 12.479

Review 4.  Philanthropic partnerships and the future of cancer research.

Authors:  Yonina R Murciano-Goroff
Journal:  Nat Rev Cancer       Date:  2014-12-04       Impact factor: 60.716

5.  Cyclophosphamide enhances human tumor growth in nude rat xenografted tumor models.

Authors:  Yingjen Jeffrey Wu; Leslie L Muldoon; Dana Thomas Dickey; Seth J Lewin; Csanad G Varallyay; Edward A Neuwelt
Journal:  Neoplasia       Date:  2009-02       Impact factor: 5.715

6.  Automated image-based phenotypic analysis in zebrafish embryos.

Authors:  Andreas Vogt; Andrzej Cholewinski; Xiaoqiang Shen; Scott G Nelson; John S Lazo; Michael Tsang; Neil A Hukriede
Journal:  Dev Dyn       Date:  2009-03       Impact factor: 3.780

7.  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

8.  A model of postsurgical advanced metastatic breast cancer more accurately replicates the clinical efficacy of antiangiogenic drugs.

Authors:  Eric Guerin; Shan Man; Ping Xu; Robert S Kerbel
Journal:  Cancer Res       Date:  2013-04-22       Impact factor: 12.701

9.  Validation of a mouse xenograft model system for gene expression analysis of human acute lymphoblastic leukaemia.

Authors:  Amy L Samuels; Violet K Peeva; Rachael A Papa; Marin J Firth; Richard W Francis; Alex H Beesley; Richard B Lock; Ursula R Kees
Journal:  BMC Genomics       Date:  2010-04-21       Impact factor: 3.969

10.  Comparative proteomic phenotyping of cell lines and primary cells to assess preservation of cell type-specific functions.

Authors:  Cuiping Pan; Chanchal Kumar; Sebastian Bohl; Ursula Klingmueller; Matthias Mann
Journal:  Mol Cell Proteomics       Date:  2008-10-23       Impact factor: 5.911

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