Development of Novel Acoustic Clusters for Improving Combinatorial Neuroblastoma Therapy Summary: The goal of this project is to develop superior image-guided methods of delivering chemotherapeutics to neuroblastoma, which are aggressive solid tumors responsible for 15% of childhood cancer related mortalities. Neuroblastoma most commonly arises in the adrenal gland and kidneys, but also other areas of the abdomen. Unlike many tumors, neuroblastomas are poorly perfused, requiring high-dosage chemotherapy, which can have deleterious short and long-term side effects in children. Currently, no clinical methods exist to optimize drug uptake in neuroblastoma in vivo. Methods of improving drug delivery to tumors are needed to improve therapy. In this study, we propose an innovative image-guided combinatorial drug therapy approach to remodel the tumor vasculature and treat neuroblastoma, using anti-VEGF antibody, bevacizumab (BV), in combination with acoustically delivered liposomal doxorubicin (L-DOX). Neither BV therapy nor L-DOX are currently indicated for neuroblastoma treatment, but together with sound-sensitive ultrasound contrast agents (UCA's) they have the potential to dramatically improve neuroblastoma treatment efficacy. BV therapy was designed to induce vascular regression, however we and others have demonstrated that repetitive BV therapy causes vascular remodeling in NGP mouse tumor models by ?cooption? of surrounding vessels and potentially making them more amenable to drug uptake by reducing mature pericyte coverage thereby compromising vascular integrity. In combination with BV therapy, we will test a novel platform for enhancing drug uptake in tumors utilizing ultrasound sensitive particles, called ?Acoustic Clusters? (ACs), to maximize payload of doxorubicin specifically to tumor tissue. ACs are chemically crosslinked gas-filled spheres (?microbubbles?, ~1 ?m diameter each) that vibrate in an ultrasound field. AC's are assembled using drug carrying liposomes and are specifically designed to solubilize liposome-encapsulated drugs on-demand during ultrasound stimulation. ACs can also permeabilize blood vessels facilitating uptake of released drugs. We will test several novel image-guided drug delivery strategies using microbubble (and nanodroplet) based ACs to ?uncage? encapsulated doxorubicin (with and without permeabilizing blood vessels) to maximize drug uptake in tumors. The strategy of simultaneously releasing drugs and permeabilizing vasculature is a novel approach that will enable more efficient drug targeting and eliminate the reliance on endogenous tumor vascular permeability for liposome encapsulated drug carrying molecules, such as L-DOX. The techniques developed in this study would be applicable to a wide range of drugs and cancers toward improving overall treatment efficacies.

Public Health Relevance

This project is designed to address a fundamental need to develop clinically relevant techniques for monitoring tumor vascular changes and optimizing drug delivery in tumors. The techniques proposed in this study can (1) provide insight into tumor vascular properties, (2) monitor dynamic changes in the tumor vasculature in response to treatment, and (3) optimize drug delivery in a site-specific manner. The results of this study will serve to demonstrate that contrast-enhanced ultrasound imaging and sonoporation is a rational and clinically relevant approach to optimizing chemotherapeutic activity in neuroblastomas, as well as other cancer models.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
5R01CA235756-02
Application #
9891989
Study Section
Medical Imaging Study Section (MEDI)
Program Officer
Redmond, George O
Project Start
2019-03-12
Project End
2024-02-29
Budget Start
2020-03-01
Budget End
2021-02-28
Support Year
2
Fiscal Year
2020
Total Cost
Indirect Cost
Name
University of Texas-Dallas
Department
Biostatistics & Other Math Sci
Type
Biomed Engr/Col Engr/Engr Sta
DUNS #
800188161
City
Richardson
State
TX
Country
United States
Zip Code
75080