4.5 Article

Microphysiological systems to study tumor-stroma interactions in brain cancer

期刊

BRAIN RESEARCH BULLETIN
卷 174, 期 -, 页码 220-229

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.brainresbull.2021.06.012

关键词

Organ-on-a-chip; Disease models; Brain tumor; Glioblastoma; Microfluidic devices

资金

  1. National Institutes of Health [R01 CA197488, R01 DK099528, R01 CA256481]
  2. Cancer Center at Illinois at the University of Illinois at Urbana-Champaign
  3. Scott H. Fisher Research Fund at the Carl R. Woese Institute for Genomic Biology, at the University of Illinois at Urbana-Champaign

向作者/读者索取更多资源

Brain tumors lack effective treatments, and understanding tumor progression and resistance mechanisms is unclear. Technological advances in in vitro modeling are being used to increase the efficiency of preclinical systems. Microphysiological brain tumor models may offer insights into disease mechanisms and predict patient response to anticancer treatments.
Brain tumors still lack effective treatments, and the mechanisms of tumor progression and therapeutic resistance are unclear. Multiple parameters affect cancer prognosis (e.g., type and grade, age, location, size, and genetic mutations) and election of suitable treatments is based on preclinical models and clinical data. However, most candidate drugs fail in human trials due to inefficacy. Cell lines and tissue culture plates do not provide physiologically relevant environments, and animal models are not able to adequately mimic characteristics of disease in humans. Therefore, increasing technological advances are focusing on in vitro and computational modeling to increase the throughput and predicting capabilities of preclinical systems. The extensive use of these therapeutic agents requires a more profound understanding of the tumor-stroma interactions, including neural tissue, extracellular matrix, blood-brain barrier, astrocytes and microglia. Microphysiological brain tumor models offer physiologically relevant vascularized 'minitumors' that can help deciphering disease mechanisms, accelerating the drug discovery and predicting patient's response to anticancer treatments. This article reviews progress in tumor-on-a-chip platforms that are designed to comprehend the particular roles of stromal cells in the brain tumor microenvironment.

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