Use of the Optimata Virtual Patient (OVP) to predict effects of sunitinib malate in advanced pancreatic cancer.

2011 
341 Background: Pancreatic cancer is considered to be incurable by available treatment modalities, with 5-year survival rate <4%. Sunitinib malate (Sutent) significantly increased progression-free survival in patients with advanced islet cell tumors (pancreatic); however, it demonstrated only modest single-agent effect in a phase II study in patients with metastatic pancreatic adenocarcinoma (PaC) that progressed after first-line therapy with gemcitabine. To improve the response of PaC patients to drugs, the interplay between biologic, pathologic, and pharmacologic processes underlying drug-patient interactions have been mathematically modeled, predicting efficacy responses, different toxicities, and long-term tolerability in clinical trials, allowing for improved dosing regimens and patient selection (OVP engine) (Agur Z., 2010). The OVP engine was used to predict Sunitinib malate single-agent activity in advanced PaC. Methods: OVP replicated the observed growth patterns of human PaC. Pharmacokinetics (P...
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