Literature DB >> 17322365

Murine models to evaluate novel and conventional therapeutic strategies for cancer.

James E Talmadge1, Rakesh K Singh, Isaiah J Fidler, Avraham Raz.   

Abstract

Animal models, by definition, are an approximation of reality, and their use in developing anti-cancer drugs is controversial. Positive retrospective clinical correlations have been identified with several animal models, in addition to limitations and a need for improvement. Model inadequacies include experimental designs that do not incorporate biological concepts, drug pharmacology, or toxicity. Ascites models have been found to identify drugs active against rapidly dividing tumors; however, neither ascitic nor transplantable subcutaneous tumors are predictive of activity for solid tumors. In contrast, primary human tumor xenografts have identified responsive tumor histiotypes if relevant pharmacodynamic and toxicological parameters were considered. Murine toxicology studies are also fundamental because they identify safe starting doses for phase I protocols. We recommend that future studies incorporate orthotopic and spontaneous metastasis models (syngeneic and xenogenic) because they incorporate microenvironmental interactions, in addition to confirmatory autochthonous models and/or genetically engineered models, for molecular therapeutics. Collectively, murine models are critical in drug development, but require a rational and hierarchical approach beginning with toxicology and pharmacology studies, progressing to human primary tumors to identify therapeutic targets and models of metastatic disease from resected orthotopic, primary tumors to compare drugs using rigorous, clinically relevant outcome parameters.

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Year:  2007        PMID: 17322365      PMCID: PMC1864878          DOI: 10.2353/ajpath.2007.060929

Source DB:  PubMed          Journal:  Am J Pathol        ISSN: 0002-9440            Impact factor:   4.307


  77 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  1992-06-15       Impact factor: 11.205

Review 2.  Barriers to efficient development of cancer therapeutics.

Authors:  Philip S Schein; Barbara Scheffler
Journal:  Clin Cancer Res       Date:  2006-06-01       Impact factor: 12.531

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4.  Cyclooxygenase-2 inhibitor induces apoptosis in breast cancer cells in an in vivo model of spontaneous metastatic breast cancer.

Authors:  Gargi D Basu; Latha B Pathangey; Teresa L Tinder; Michelle Lagioia; Sandra J Gendler; Pinku Mukherjee
Journal:  Mol Cancer Res       Date:  2004-11       Impact factor: 5.852

5.  Genetically engineered models have advantages over xenografts for preclinical studies.

Authors:  Oren J Becher; Eric C Holland
Journal:  Cancer Res       Date:  2006-04-01       Impact factor: 12.701

6.  Cancer metastasis is selective or random depending on the parent tumour population.

Authors:  J E Talmadge; I J Fidler
Journal:  Nature       Date:  1982-06-17       Impact factor: 49.962

Review 7.  Trials, tribulations, and trends in tumor modeling in mice.

Authors:  JoAnn C L Schuh
Journal:  Toxicol Pathol       Date:  2004 Mar-Apr       Impact factor: 1.902

8.  Therapy of autochthonous skin cancers in mice with intravenously injected liposomes containing muramyltripeptide.

Authors:  J E Talmadge; B F Lenz; R Klabansky; R Simon; C Riggs; S Guo; R K Oldham; I J Fidler
Journal:  Cancer Res       Date:  1986-03       Impact factor: 12.701

Review 9.  Of mice and men: values and liabilities of the athymic nude mouse model in anticancer drug development.

Authors:  L R Kelland
Journal:  Eur J Cancer       Date:  2004-04       Impact factor: 9.162

10.  The kinase inhibitor STI571 reverses the Bcr-Abl induced point mutation frequencies observed in pre-leukemic P190(Bcr-Abl) transgenic mice.

Authors:  Julia Brain; Anuraag Saksena; Pierre Laneuville
Journal:  Leuk Res       Date:  2002-11       Impact factor: 3.156

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  177 in total

1.  Raising the bar for cancer therapy models.

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

Review 2.  AACR centennial series: the biology of cancer metastasis: historical perspective.

Authors:  James E Talmadge; Isaiah J Fidler
Journal:  Cancer Res       Date:  2010-07-07       Impact factor: 12.701

Review 3.  Pathomimetic cancer avatars for live-cell imaging of protease activity.

Authors:  Kyungmin Ji; Joshua Heyza; Dora Cavallo-Medved; Bonnie F Sloane
Journal:  Biochimie       Date:  2015-09-12       Impact factor: 4.079

Review 4.  Colorectal cancer models for novel drug discovery.

Authors:  Daniel Golovko; Dmitriy Kedrin; Ömer H Yilmaz; Jatin Roper
Journal:  Expert Opin Drug Discov       Date:  2015-08-21       Impact factor: 6.098

5.  Is tail vein injection a relevant breast cancer lung metastasis model?

Authors:  Omar M Rashid; Masayuki Nagahashi; Suburamaniam Ramachandran; Catherine I Dumur; Julia C Schaum; Akimitsu Yamada; Tomoyoshi Aoyagi; Sheldon Milstien; Sarah Spiegel; Kazuaki Takabe
Journal:  J Thorac Dis       Date:  2013-08       Impact factor: 2.895

6.  An orthotopic xenograft model with survival hindlimb amputation allows investigation of the effect of tumor microenvironment on sarcoma metastasis.

Authors:  Seth D Goldstein; Masanori Hayashi; Catherine M Albert; Kyle W Jackson; David M Loeb
Journal:  Clin Exp Metastasis       Date:  2015-08-18       Impact factor: 5.150

7.  Lentivirus-mediated bifunctional cell labeling for in vivo melanoma study.

Authors:  Chi-Ping Day; John Carter; Carrie Bonomi; Dominic Esposito; Bruce Crise; Betty Ortiz-Conde; Melinda Hollingshead; Glenn Merlino
Journal:  Pigment Cell Melanoma Res       Date:  2009-01-19       Impact factor: 4.693

8.  Chemotherapeutic drug-specific alteration of microvascular blood flow in murine breast cancer as measured by diffuse correlation spectroscopy.

Authors:  Gabriel Ramirez; Ashley R Proctor; Ki Won Jung; Tong Tong Wu; Songfeng Han; Russell R Adams; Jingxuan Ren; Daniel K Byun; Kelley S Madden; Edward B Brown; Thomas H Foster; Parisa Farzam; Turgut Durduran; Regine Choe
Journal:  Biomed Opt Express       Date:  2016-08-24       Impact factor: 3.732

Review 9.  Lessons from mouse models of thyroid cancer.

Authors:  Caroline S Kim; Xuguang Zhu
Journal:  Thyroid       Date:  2009-12       Impact factor: 6.568

10.  Antitumor efficacy testing in rodents.

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

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