This project seeks to investigate the pharmacokokinetic [PK] and pharmacodynamic [PD] basis of combinations of angiogenesis inhibitors [AIs] and cytotoxic drugs, an emerging chemotherapeutic strategy for the treatment of solid tumors. Two types of AIs are available; either standard AIs, often targeted to growth factor receptors, or metronomic-dosed cytotoxic drugs [MDCDs], conventional cytotoxic agents administered in protracted low-dose schedules. Successful antiangiogenic therapy may alter a number of physiological variables, such as blood flow, interstitial fluid pressure, and vascular permeability, which can mediate pharmacodynamic [PD] changes in tumor concentrations of co-administered cytotoxic drugs. We have demonstrated in the past funding cycle that such AI: cytotoxic drug interactions can result in both decreased and increased tumor concentrations of the cytotoxic drugs. Studies proposed in this application will characterize the PK/PD of the AIs, either standard Als or MDCDs, alone and in combination with regular-dosed cytotoxic drugs. The project will use a rat xenograft glioma model, both at subcutaneous and intracerebral model locations, engineered to over express vascular endothelial growth factor [VEGF], a key cytokine in tumor angiogenesis. An extensive series of PK measurements, including those based on tumor microdialysis, and PD measurements including the measurement of vascular permeability by dynamic-contrast enhanced MRI will be obtained. The combined PK/PD data will be cast into hybrid physiologically based PK/PD models that will provide a mechanistic framework to characterize drug transport interactions, and also serve as a basis to scale-up the models to predict human tumor drug concentrations. The ultimate goals of the project are to provide a clear understanding of the variables that impact on drug disposition, and to derive quantitative tools that can be used to design optimal dosing regimens for combinations of Als and cytotoxic drugs.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
5R01CA072937-06
Application #
7113139
Study Section
Drug Discovery and Molecular Pharmacology Study Section (DMP)
Program Officer
Song, Min-Kyung H
Project Start
1998-02-01
Project End
2009-06-30
Budget Start
2006-07-01
Budget End
2007-06-30
Support Year
6
Fiscal Year
2006
Total Cost
$209,423
Indirect Cost
Name
Temple University
Department
Pharmacology
Type
Schools of Pharmacy
DUNS #
057123192
City
Philadelphia
State
PA
Country
United States
Zip Code
19122
Wang, Tieli; Pickard, Amanda J; Gallo, James M (2016) Histone Methylation by Temozolomide; A Classic DNA Methylating Anticancer Drug. Anticancer Res 36:3289-99
Gallo, James M; Birtwistle, Marc R (2015) Network pharmacodynamic models for customized cancer therapy. Wiley Interdiscip Rev Syst Biol Med 7:243-51
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Birtwistle, M R; Mager, D E; Gallo, J M (2013) Mechanistic vs. Empirical network models of drug action. CPT Pharmacometrics Syst Pharmacol 2:e72
Sharma, Jyoti; Lv, Hua; Gallo, James M (2013) Intratumoral modeling of gefitinib pharmacokinetics and pharmacodynamics in an orthotopic mouse model of glioblastoma. Cancer Res 73:5242-52
Zhou, Qingyu; Lv, Hua; Mazloom, Amin R et al. (2012) Activation of alternate prosurvival pathways accounts for acquired sunitinib resistance in U87MG glioma xenografts. J Pharmacol Exp Ther 343:509-19
Iyengar, Ravi; Zhao, Shan; Chung, Seung-Wook et al. (2012) Merging systems biology with pharmacodynamics. Sci Transl Med 4:126ps7
Sharma, Jyoti; Lv, Hua; Gallo, James M (2012) Analytical approach to characterize the intratumoral pharmacokinetics and pharmacodynamics of gefitinib in a glioblastoma model. J Pharm Sci 101:4100-6

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