Vascularization of Glioblastoma: Role of Cancer Stem Cells (2022-04-08)
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Vascularization of Glioblastoma: Role of Cancer Stem Cells (2022-04-08)
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2022
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Abstract
Glioblastoma (GBM) is the most common primary brain tumor in humans,
but even with the best treatment currently available, the prognosis is
dismal. This difficulty in treating GBM is multifactorial, owing to both
properties of brain tissue, as well as properties specific to GBM. One
property of GBM that is of particular interest is the presence of cancer
stem cells, which are thought to play a role in tumor recurrence and
chemotherapy resistance. These stem cells are also thought to play a role
in alternative tumor vascularization processes by adopting an
endothelial cell-like phenotype to enhance tumor growth. This cancer
stem cell to endothelial transition is the subject of the present research.
My hypothesis is that an established protocol to differentiate pluripotent
stem cells into endothelial-like cells will induce a similar transition in the
cancer stem cells. To test this, mouse glioma line GL261 cells were
treated with growth factors as described in established protocols, and
messenger RNA (mRNA) was extracted. This mRNA was reverse
transcribed to complementary DNA (cDNA) for detection of endothelial-
specific transcripts by quantitative PCR (qPCR) analysis. qPCR probes for
endothelial markers Claudin 5 and P-glycoprotein were used to measure
changes in expression relative to cells grown without growth factors. If
the increased expression is observed in mouse cells, a future experiment
using human GBM samples is planned using probes for additional
endothelial marker genes.
Description
Friday, April 8, 2022, 3:00 p.m.; Chem 200; Bryan Reutzel, Master's Student, Department of Chemistry & Biochemistry, University of Minnesota Duluth; Research Advisor: Dr. Lester Drewes
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Reutzel, Bryan; University of Minnesota Duluth. Department of Chemistry and Biochemistry. (2022). Vascularization of Glioblastoma: Role of Cancer Stem Cells (2022-04-08). Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/227548.
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