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Clinical Cancer Research Vol. 12, 4652-4661, August 1, 2006
© 2006 American Association for Cancer Research


Cancer Therapy: Preclinical

An In vivo Platform for Translational Drug Development in Pancreatic Cancer

Belen Rubio-Viqueira1, Antonio Jimeno1, George Cusatis1, Xianfeng Zhang1, Christine Iacobuzio-Donahue2, Collins Karikari2, Chanjusn Shi2, Kathleen Danenberg4, Peter V. Danenberg6, Hidekazu Kuramochi6, Koji Tanaka6, Sharat Singh5, Hossein Salimi-Moosavi5, Nadia Bouraoud1, Maria L. Amador1, Soner Altiok2, Piotr Kulesza2, Charles Yeo3, Wells Messersmith1, James Eshleman2, Ralph H. Hruban2, Anirban Maitra2 and Manuel Hidalgo1

Authors' Affiliations: Departments of 1 Oncology, 2 Pathology, and 3 Surgery, Sidney Kimmel Comprehensive Cancer Center and the Sol Goldman Pancreatic Cancer Research Center at Johns Hopkins, The Johns Hopkins University School of Medicine, Baltimore, Maryland; 4 Response Genetics, Inc., Los Angeles, California; 5 Monogram Bioscience, Inc., South San Francisco, California; and 6 Department of Biochemistry and Molecular Biology, University of Southern California, Los Angeles, California

Requests for reprints: Manuel Hidalgo, The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Room 1M89, 1650 Orleans Street, Baltimore, MD 21231. Phone: 410-502-3850; Fax: 410-614-9006; E-mail: mhidalg1{at}jhmi.edu.

Effective development of targeted anticancer agents includes the definition of the optimal biological dose and biomarkers of drug activity. Currently available preclinical models are not optimal to this end. We aimed at generating a model for translational drug development using pancreatic cancer as a prototype. Resected pancreatic cancers from 14 patients were xenografted and expanded in successive groups of nude mice to develop cohorts of tumor-bearing mice suitable for drug therapy in simulated early clinical trials. The xenografted tumors maintain their fundamental genotypic features despite serial passages and recapitulate the genetic heterogeneity of pancreatic cancer. The in vivo platform is useful for integrating drug screening with biomarker discovery. Passages of tumors in successive cohorts of mice do not change their susceptibility to anticancer agents and represent a perpetual live bank, facilitating the application of new technologies that will result in the creation of an integrated stable database of tumor-drug response data and biomarkers.




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