Neuroscience
Penn Neurosurgery Creates Precise Tumor Classifier for Glioblastoma
A newly developed, more specific approach to classifying tumors by molecular type can help cancer researchers to determine tumor characteristics and guide treatment strategies.
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Donald O'Rourke, MD |
A team of researchers from the Perelman School of Medicine at the University of Pennsylvania and the Wistar Institute have created the first isoform-level assay for stratifying tumors at a molecular level, in patients with glioblastoma, the most common and most aggressive type of malignant primary brain tumor. This new classifier is more efficient and replicable in a laboratory setting than existing diagnostic tools, and can provide more accurate predictions for survival and how glioblastoma patients may respond to different treatments.
"Current tests can help classify tumor types to a lesser degree. This new classifying system improves both the diagnostic accuracy and the efficiency of the testing process," said Donald O'Rourke, MD, associate professor of Neurosurgery with Penn's Abramson Cancer Center and director of the Penn Brain Tumor Tissue Bank. "The more detailed information we have about the tumor, at a molecular level, the better we can target new immunotherapies and other treatments for our patients with glioblastoma."
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Penn Neurosurgery provides comprehensive surgical management of disorders of the brain, spinal cord and peripheral nervous system.
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