期刊
BULLETIN OF MATHEMATICAL BIOLOGY
卷 82, 期 11, 页码 -出版社
SPRINGER
DOI: 10.1007/s11538-020-00814-y
关键词
Glioblastoma; Hypoxia; PIHNA; Ischemia; Tumor growth
资金
- National Cancer Institute [R01CA164371, U54CA193489]
- School of Mathematical Sciences at the University of Nottingham
Glioblastoma (GBM) is the most aggressive primary brain tumor with a short median survival. Tumor recurrence is a clinical expectation of this disease and usually occurs along the resection cavity wall. However, previous clinical observations have suggested that in cases of ischemia following surgery, tumors are more likely to recur distally. Through the use of a previously established mechanistic model of GBM, the Proliferation Invasion Hypoxia Necrosis Angiogenesis (PIHNA) model, we explore the phenotypic drivers of this observed behavior. We have extended the PIHNA model to include a new nutrient-based vascular efficiency term that encodes the ability of local vasculature to provide nutrients to the simulated tumor. The extended model suggests sensitivity to a hypoxic microenvironment and the inherent migration and proliferation rates of the tumor cells are key factors that drive distal recurrence.
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