The growth and invasiveness of solid tumors is highly dependent on angiogenesis or the processes forming new tumor blood vessels. Accordingly the development of antiangiogenic drugs is of considerable importance, yet recent clinical trials have demonstrated that early favorable patient responses are not durable, which has been attributed to drug resistance. The complex and diverse nature of the drug resistance mechanisms calls for a systematic approach to define new treatment paradigms to alleviate resistance to angiogenesis inhibitors. The overall objective of the project is to provide a preclinical foundation to design multidrug combination regimens that will overcome resistance to angiogenesis inhibitors and further ensure that coadministered cytotoxic drugs will reach tumors in sufficient amounts. To accomplish this objective, three Aims are proposed that describe a series of pharmacokinetic (PK) and pharmacodynamic (PD) investigations based on the properties of the drugs in tumors.
Aim 1 studies will derive antiangiogenic drug resistant brain tumors in vivo and compare the tumor accumulation of the cytotoxic drug, temozolomide (TMZ) in sensitive and resistant tumors. The expression of genes and proteins relevant to angiogenesis will be monitored to create a resistance profile. Initial Aim 2 studies, again utilizing drug resistant tumors, will evaluate multitargeted drug combinations that interfere with angiogenesis by inhibiting targets on the cell surface and intracellularly. The drug combinations selected will be, in part, based on the resistance profiles determined in Aim 1. Upon identifying multitargeted drug combinations that suppress resistance, a final set of studies will be undertaken to analyze TMZ tumoral delivery and the process referred to as vascular normalization, a hallmark of effective drug delivery. As in Aim 1, PK (i.e. drug concentrations) and PD (gene and protein expression) measurements will be obtained in Aim 2 to provide a robust database to formulate PK/PD models for the effective combinations, which is the goal of Aim 3. Specifically, we will build physiologically-based PK/PD models that offer a means to be extrapolated to patients so that PK and PD endpoints can be predicted in brain tumors. The quantitative pharmacological approach underlying the project enables a more seamless pipeline of information to flow into the clinic that hopefully will provide a rational paradigm to design complex multidrug regimens.

Public Health Relevance

Recent clinical studies indicate that the effectiveness of antiangiogenic drugs against solid tumors is temporary due to the development of drug resistance. By using preclinical brain tumor models resistant to angiogenesis inhibitors we will develop targeted drug combinations that overcome resistance, and further, enable coadministered cytotoxic drugs to be successfully delivered to the tumor. Quantitative pharmacological models will be derived and extrapolated to patients so that rational and effective multidrug therapy can be implemented in patients.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
5R01CA072937-12
Application #
8588290
Study Section
Developmental Therapeutics Study Section (DT)
Program Officer
Forry, Suzanne L
Project Start
1998-02-01
Project End
2015-11-30
Budget Start
2013-12-01
Budget End
2014-11-30
Support Year
12
Fiscal Year
2014
Total Cost
$206,119
Indirect Cost
$84,515
Name
Icahn School of Medicine at Mount Sinai
Department
Pharmacology
Type
Schools of Medicine
DUNS #
078861598
City
New York
State
NY
Country
United States
Zip Code
10029
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
Zhang, X-Y; Birtwistle, M R; Gallo, J M (2014) A General Network Pharmacodynamic Model-Based Design Pipeline for Customized Cancer Therapy Applied to the VEGFR Pathway. CPT Pharmacometrics Syst Pharmacol 3:e92
Ballesta, A; Zhou, Q; Zhang, X et al. (2014) Multiscale design of cell-type-specific pharmacokinetic/pharmacodynamic models for personalized medicine: application to temozolomide in brain tumors. CPT Pharmacometrics Syst Pharmacol 3:e112
Gallo, J M (2013) Physiologically based pharmacokinetic models of tyrosine kinase inhibitors: a systems pharmacological approach to drug disposition. Clin Pharmacol Ther 93:236-8
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
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
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

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