Development and validation of a computational prediction model for exogenous neural stem cell migration to sites of brain tumors - PROJECT SUMMARY/ABSTRACT
A major obstacle to successful pharmacological treatment of brain tumors is the blood-brain barrier (BBB),
which prevents most anti-cancer agents from entering the brain parenchyma in amounts sufficient to eradicate
tumors. Neural stem cells (NSCs)—immature cells that can regenerate any type of cell in the nervous
system—offer a potential solution to treating brain tumors. This is because NSCs can circumvent the BBB and
migrate to areas of damage in the central nervous system (CNS), including tumors, stroke and wound injuries.
As tools for significantly improving the survival of brain tumor patients, NSCs have been investigated as
delivery vehicles for prodrug activating enzymes, nanoparticles, and other anti-cancer agents in the context of
intracranial (IC), intravenous (IV), and intranasal (IN) delivery. NSCs have been engineered to deliver anti-
cancer agents, demonstrating therapeutic efficacy in preclinical models of several types of primary and
metastatic brain tumors, which has led to first-in-human clinical trials of NSC-mediated therapy for glioma
patients. However, in order for NSC therapy (by any delivery method) to be effective, a sufficient number of
viable cells must reach the diseased or damaged area(s) in the brain, but the paths that the NSCs take to the
tumors, as well as the location of tumors within the brain may affect the ultimate number of viable cells that
reach the tumor. In our previous preclinical studies using 3D reconstructions of serial tissue sections, we have
demonstrated that NSCs delivered via IN or IC methods can migrate towards and reach brain tumor sites, and,
post hoc, that NSCs are found migrating along white matter tracts. At present, we lack a method to predict a
priori the paths taken by NSCs in novel settings. We hypothesize that computational analyses of tissue
anisotropy will identify white matter tracts amenable to NSC migration, and provide the ability to predict routes
of NSC migration and biodistribution within the brain. The goal of this application is to develop and validate a
novel computational model using tissue anisotropy to predict migration paths of NSCs to brain tumor sites after
IC or IN administration. The Specific Aims are: Specific Aim 1: To develop and apply computational models of
NSC migration in the brain based on tissue anisotropy and route finding algorithms. Specific Aim 2: To
validate the computational method in a pilot study in brain tumor-bearing mice. The successful application of
this approach will provide a way to predict the numbers of NSCs that will reach a tumor depending on the
injected dose and location within the brain. This method could then be widely used in the areas of brain tumor
therapy and regenerative medicine as a possible way to identify patients that are good candidates for NSC-
based therapy depending on tumor location, or the best NSC administration method for a patient.
