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glioblastoma

Discovery of aggressive cancer cell types by Vanderbilt researchers made possible with machine learning techniques

Jun. 24, 2020—Rebecca Ihrie and Jonathan Irish are leading the development of machine learning applications for brain cancer research.

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Drug combos for glioblastoma

May. 3, 2016—Vanderbilt researchers have discovered that activation of a certain signaling pathway protects brain cancers from targeted therapies, suggesting that using therapeutics that block both pathways may be a promising treatment.

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New approach may halt glioblastoma’s ability to grow

Jan. 16, 2014—Vanderbilt University researchers have discovered a “backdoor” approach to blocking an enzyme that fuels the growth of glioblastoma, the most common and most fatal form of brain cancer.

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New drugs a good BET for brain cancer

Mar. 20, 2013—A novel class of drugs that target “BET” proteins may have broad utility for treating genetically diverse brain tumors.

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Brain tumor TIP reveals new target

Feb. 4, 2013—The protein TIP-1 appears to be a novel prognostic marker for glioblastoma and may be a good therapeutic target for disrupting tumor-driven blood vessel development.

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Network approach yields glioblastoma clues

Aug. 9, 2012—MicroRNA “regulatory networks” generated at Vanderbilt aid search for biomarkers and new drugs to treat glioblastoma, the most common and lethal primary brain tumor.

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