2026-09-23T09:45:12Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/121276 2023-12-11 col_2142_5131 col_2142_5163 com_2142_5130 com_2142_5162 com_2142_234

Harley, Brendan AC 2023-08 application/pdf en text Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2025-08-01 The student, Yoanna Ivanova, accepted the attached license on 2023-07-17 at 03:36. The student, Yoanna Ivanova, submitted this Thesis for approval on 2023-07-17 at 03:44. This Thesis was approved for publication on 2023-07-19 at 08:12. DSpace SAF Submission Ingestion Package generated from Vireo submission #19705 on 2023-12-04 at 17:35:55 Optimizing a 3D brain microvascular model to study radiation damage Ivanova, Yoanna 2023-07-19 Glioblastoma Tumor Microenvironment, Radiation Vasculature Hydrogel Perivascular Niche Glioblastoma (GBM) is a highly aggressive brain cancer characterized by diffuse metastasis at the tumor margins leading to high rates of recurrence. Radiation therapy, a standard component of current treatment, offers potential for improved patient outcomes. However, radiation therapy has opposing effects, capable of eradicating disease while also damaging normal tissue; this damage can lead to decreased quality of life and can foster a tumor-supportive microenvironment. The perivascular niche (PVN) is a microenvironment of particular interest. The PVN plays a vital role in regulating the glioblastoma stem cell population, treatment resistance, and serves as a site for cancer recurrence and migration. Understanding the impact of radiation on the PVN can better inform radiation schemes and improve our understanding of GBM recurrence. Here we optimize a previously developed three-dimensional in vitro model of the brain perivascular niche to investigate the impact of radiation dosage and delivery. We evaluated our hydrogel formulation to allow for stability, vessel growth, and network visualization. Importantly, we demonstrate that radiation effects on vessel structure can be measured in our model. This suggests our platform can provide useful insights on the effects of radiation on a short time scale relative to in vivo experiments. Text eng https://hdl.handle.net/2142/121276 Copyright 2023 Yoanna Ivanova M.S. Thesis Bioengineering University of Illinois at Urbana-Champaign Bioengineering