2009
DOI: 10.1016/j.semradonc.2009.02.001
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Beyond Grade: Molecular Pathology of Malignant Gliomas

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Cited by 31 publications
(27 citation statements)
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“…Glioblastoma multiforme (GBM) is the most common and aggressive form of brain tumor (1). Current therapy consists of surgical resection followed by radiation therapy and concomitant chemotherapy.…”
Section: Introductionmentioning
confidence: 99%
“…Glioblastoma multiforme (GBM) is the most common and aggressive form of brain tumor (1). Current therapy consists of surgical resection followed by radiation therapy and concomitant chemotherapy.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore it is thought that p53 mutations are a hallmark of low-grade gliomas and consequently also occur in secondary GBM that arise from lower grade gliomas (Noda et al, 2009). Loss of p53 is observed in grade II astrocytomas (35-60%), grade III astrocytomas (~50%), primary GBM (~30%), and secondary GBM (~60-65%) (Sulman et al, 2009;Bourne & Schiff, 2010;Gladson et al, 2010). Additionally, p53 mutations are found in ~44% of grade II oligoastrocytoma and ~13% of oligodendroglioma cases (Bourne & Schiff, 2010).…”
Section: Cell Cycle Regulation 221 P53mentioning
confidence: 99%
“…Deletion or mutation of p16INK4A as a consequence of loss of chromosome 9p or hypermethylation occurs in approximately 12-62.5% of anaplastic astrocytoma cases (Gladson et al, 2010). p16 loss has also been reported in 20-57% of GBM cases (Sulman et al, 2009;Kim et al, 2010). Interestingly, since cyclins and cyclin-dependent kinase (CDK) inhibitors are subject to proteosomal degradation, cell cycle regulation can be modified through proteasome inhibitors.…”
Section: Rb/p16ink4a/cdk4mentioning
confidence: 99%
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“…For example, there is a great deal of interest in developing tumor-grading meth-ods based on the genetic states of tumors rather than their anatomical appearance. 86,122 These methods would use genetic markers as an adjunct to traditional grading of tumors by a pathology lab. There is also significant interest in developing tumor prognosis classifiers based on genetic markers, with some recent success.…”
Section: Diagnostics Tumor Grading and Prognosismentioning
confidence: 99%