MMP-2, MMP-9 and NGAL as Biomarkers for Glioblastoma (GBM) Biomarkers for the Prognosis of Glioblastoma
Matrix metalloproteinases (MMP) -2 and -9 belong to a multigene family of degradative
enzymes implicated in the neoangiogenesis required for tumor growth. In the central nervous
system (CNS), MMP-2, MMP-9 and neutrophil gelatinase-associated lipocalin (NGAL) are
overexpressed in orthotopic models and also in human brain tumor specimens. Furthermore,
serum and urinary levels of these markers have been shown to correlate with the presence and
status of brain tumors in all types of primary brain tumors. A major challenge in the
treatment of primary brain tumors is the dependence on magnetic resonance imaging (MRI) to
differentiate disease progression from treatment-related change. This is particularly
challenging in glioblastomas (GBM) where multimodality therapy with radiation and
chemotherapy is commonly used and can lead to pseudoprogression and treatment-related tissue
necrosis, both of which can masquerade as true tumor progression. Often we are faced with
the decision to treat based on imaging findings alone or to recommend that patients have
another invasive surgery. We hypothesize that MMP-2, MMP-9 and NGAL will: 1) be detected
on tumor tissue by immunohistochemistry and not on non-tumor (epilepsy) brain tissue, 2)
parallel the course of disease in the urine and/or serum of patients and 3) remain unchanged
in the event of pseudoprogression and treatment related imaging changes. Quality of life,
patient symptoms, and cognitive function are vitally important in patients with GBM.
Quality of life and selected symptoms will also be assessed and correlated with serum and
urine biomarkers. We hope to confirm the utility of MMP-2, MMP-9 and NGAL in the management
of GBM.
Observational
Observational Model: Case Control, Time Perspective: Prospective
To estimate the amount of MMP-2, MMP-9 and MMP-9/NGAL using immunohistochemistry in tumor tissue and non-tumor (epilepsy) patients.
The mean MMP-2, MMP-9 and NGAL will be estimated using 95% confidence intervals, for the GBM and control groups. In the event that the data are not normally distributed and a suitable transformation is not evident, the median and a 95% confidence for a median will be used.
Up to 3 years
No
Nicole Shonka, MD
Principal Investigator
UNMC
United States: University of Nebraska Medical Center
IRB 369-11-FB
NCT01493219
September 2011
September 2016
Name | Location |
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University of Nebraska Medical Center | Omaha, Nebraska 68198-3330 |