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Genetic landscape of common brain tumors holds key to personalized treatment

Date:
January 24, 2013
Source:
Yale University
Summary:
Nearly the entire genetic landscape of the most common form of brain tumor can be explained by abnormalities in just five genes, an international team of researchers report. Knowledge of the genomic profile of the tumors and their location in the brain make it possible for the first time to develop personalized medical therapies for meningiomas, which currently are only managed surgically.
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Nearly the entire genetic landscape of the most common form of brain tumor can be explained by abnormalities in just five genes, an international team of researchers led by Yale School of Medicine scientists report online in the Jan. 24 edition of the journal Science. Knowledge of the genomic profile of the tumors and their location in the brain make it possible for the first time to develop personalized medical therapies for meningiomas, which currently are only managed surgically.

Meningioma tumors affect about 170,000 patients in the United States. They are usually benign but can turn malignant in about 10 percent of cases. Even non-cancerous tumors can require surgery if they affect the surrounding brain tissue and disrupt neurological functions.

Approximately half of the tumors have already been linked to a mutation or deletion of a gene called neurofibromin 2, or NF2. The origins of the rest of the meningiomas had remained a mystery.

The Yale team conducted genomic analyses of 300 meningiomas and found four new genetic suspects, each of which yields clues to the origins and treatment of the condition. Tumors mutated with each of these genes tend to be located in different areas of the brain, which can indicate how likely they are to become malignant.

"Combining knowledge of these mutations with the location of tumor growth has direct clinical relevance and opens the door for personalized therapies," said Dr. Murat Gunel, the Nixdorff-German Professor of Neurosurgery, professor of genetics and of neurobiology, and senior author of the study. Gunel is also a member of Yale Cancer Center's Genetics and Genomics Research Program.

For instance, two of the mutations identified -- SMO and AKT1 -- have been linked to various cancers. SMO mutations had previously been found in basal cell carcinoma and are the target of an already approved drug for that form of skin cancer. Another, KLF4, activates a suite of genes and is known for its role in inducing stem cell formation, even in cells that have fully differentiated into a specific tissue type. Mutations in a TRAF7, a gene not previously associated with cancer, were found in approximately one-fourth of tumors. Meningiomas with these mutations are found in the skull base and are unlikely to become cancerous. In contrast, NF2 mutant tumors that flank the brain's hemispheres are more likely to progress to malignancy, especially in males.

Doctors may be able to use targeted chemotherapy on patients with non-NF2 mutations, especially those with recurrent or invasive meningiomas and those who are surgically at high risk. Individualized chemotherapies could also spare patients irradiation treatment, a risk factor for progression of these generally benign tumors. Gunel said it may also be possible to extend these approaches to more malignant tumors.

Funding for the study was provided by Gregory M. Kiez and Mehmet Kutman Foundation.


Story Source:

Materials provided by Yale University. Original written by Bill Hathaway. Note: Content may be edited for style and length.


Cite This Page:

Yale University. "Genetic landscape of common brain tumors holds key to personalized treatment." ScienceDaily. ScienceDaily, 24 January 2013. <www.sciencedaily.com/releases/2013/01/130124150804.htm>.
Yale University. (2013, January 24). Genetic landscape of common brain tumors holds key to personalized treatment. ScienceDaily. Retrieved March 29, 2024 from www.sciencedaily.com/releases/2013/01/130124150804.htm
Yale University. "Genetic landscape of common brain tumors holds key to personalized treatment." ScienceDaily. www.sciencedaily.com/releases/2013/01/130124150804.htm (accessed March 29, 2024).

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