Literature DB >> 26719526

Spatial Modeling of Drug Delivery Routes for Treatment of Disseminated Ovarian Cancer.

Kimberly Kanigel Winner1,2, Mara P Steinkamp3,4, Rebecca J Lee4, Maciej Swat5, Carolyn Y Muller6,4, Melanie E Moses1,2, Yi Jiang7, Bridget S Wilson3,4.   

Abstract

In ovarian cancer, metastasis is typically confined to the peritoneum. Surgical removal of the primary tumor and macroscopic secondary tumors is a common practice, but more effective strategies are needed to target microscopic spheroids persisting in the peritoneal fluid after debulking surgery. To treat this residual disease, therapeutic agents can be administered by either intravenous or intraperitoneal infusion. Here, we describe the use of a cellular Potts model to compare tumor penetration of two classes of drugs (cisplatin and pertuzumab) when delivered by these two alternative routes. The model considers the primary route when the drug is administered either intravenously or intraperitoneally, as well as the subsequent exchange into the other delivery volume as a secondary route. By accounting for these dynamics, the model revealed that intraperitoneal infusion is the markedly superior route for delivery of both small-molecule and antibody therapies into microscopic, avascular tumors typical of patients with ascites. Small tumors attached to peritoneal organs, with vascularity ranging from 2% to 10%, also show enhanced drug delivery via the intraperitoneal route, even though tumor vessels can act as sinks during the dissemination of small molecules. Furthermore, we assessed the ability of the antibody to enter the tumor by in silico and in vivo methods and suggest that optimization of antibody delivery is an important criterion underlying the efficacy of these and other biologics. The use of both delivery routes may provide the best total coverage of tumors, depending on their size and vascularity. ©2015 American Association for Cancer Research.

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Year:  2015        PMID: 26719526      PMCID: PMC4794352          DOI: 10.1158/0008-5472.CAN-15-1620

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  44 in total

Review 1.  Intraperitoneal chemotherapy for the initial management of primary epithelial ovarian cancer.

Authors:  K Jaaback; N Johnson
Journal:  Cochrane Database Syst Rev       Date:  2006-01-25

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Authors:  Kristy Shield; M Leigh Ackland; Nuzhat Ahmed; Gregory E Rice
Journal:  Gynecol Oncol       Date:  2009-01-10       Impact factor: 5.482

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9.  Ovarian tumor attachment, invasion, and vascularization reflect unique microenvironments in the peritoneum: insights from xenograft and mathematical models.

Authors:  Mara P Steinkamp; Kimberly Kanigel Winner; Suzy Davies; Carolyn Muller; Yong Zhang; Robert M Hoffman; Abbas Shirinifard; Melanie Moses; Yi Jiang; Bridget S Wilson
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7.  Establishment of a rat ovarian peritoneal metastasis model to study pressurized intraperitoneal aerosol chemotherapy (PIPAC).

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10.  Modeling three-dimensional invasive solid tumor growth in heterogeneous microenvironment under chemotherapy.

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