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Tumor Models in Cancer Research [electronic resource] /edited by Beverly A. Teicher.

by Teicher, Beverly A [editor.]; SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Cancer Drug Discovery and Development: Publisher: Totowa, NJ : Humana Press : 2011.Edition: 2.Description: XIV, 693p. online resource.ISBN: 9781607619680.Subject(s): Medicine | Oncology | Toxicology | Biomedicine | Cancer Research | Pharmacology/ToxicologyDDC classification: 614.5999 Online resources: Click here to access online In: Springer eBooksSummary: Beverly A. Teicher and a panel of leading experts comprehensively describe the state-of-the-art in animal tumor model research. This volume updates and extends the comprehensive presentations in the first edition. The wide array of models detailed form the basis for the selection of compounds and treatments that go into clinical testing of patients, and include syngeneic models, human tumor xenograft models, orthotopic models, metastatic models, and genetically engineered mouse models. Synthesizing many years experience with all the major in vivo models currently available for the study of malignant disease, Tumor Models in Cancer Research 2nd edition, provides preclinical and clinical cancer researchers alike with a comprehensive guide to the selection of these models, their effective use, and the optimal interpretation of their results.
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Beverly A. Teicher and a panel of leading experts comprehensively describe the state-of-the-art in animal tumor model research. This volume updates and extends the comprehensive presentations in the first edition. The wide array of models detailed form the basis for the selection of compounds and treatments that go into clinical testing of patients, and include syngeneic models, human tumor xenograft models, orthotopic models, metastatic models, and genetically engineered mouse models. Synthesizing many years experience with all the major in vivo models currently available for the study of malignant disease, Tumor Models in Cancer Research 2nd edition, provides preclinical and clinical cancer researchers alike with a comprehensive guide to the selection of these models, their effective use, and the optimal interpretation of their results.

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