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PI3Kinase signaling in glioblastoma

Overview of attention for article published in Journal of Neuro-Oncology, November 2010
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1 CiteULike
Title
PI3Kinase signaling in glioblastoma
Published in
Journal of Neuro-Oncology, November 2010
DOI 10.1007/s11060-010-0442-z
Pubmed ID
Authors

M. M. Lino, A. Merlo

Abstract

Glioblastoma (GBM) is the most common primary tumor of the CNS in the adult. It is characterized by exponential growth and diffuse invasiveness. Among many different genetic alterations in GBM, e.g., mutations of PTEN, EGFR, p16/p19 and p53 and their impact on aberrant signaling have been thoroughly characterized. A major barrier to develop a common therapeutic strategy is founded on the fact that each tumor has its individual genetic fingerprint. Nonetheless, the PI3K pathway may represent a common therapeutic target to most GBM due to its central position in the signaling cascade affecting proliferation, apoptosis and migration. The read-out of blocking PI3K alone or in combination with other cancer pathways should mainly focus, besides the cytostatic effect, on cell death induction since sublethal damage may induce selection of more malignant clones. Targeting more than one pathway instead of a single agent approach may be more promising to kill GBM cells.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 1%
Brazil 1 1%
Canada 1 1%
Nigeria 1 1%
Japan 1 1%
Unknown 95 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 20%
Researcher 19 19%
Student > Master 16 16%
Professor > Associate Professor 8 8%
Student > Bachelor 7 7%
Other 22 22%
Unknown 8 8%
Readers by discipline Count As %
Medicine and Dentistry 33 33%
Agricultural and Biological Sciences 28 28%
Biochemistry, Genetics and Molecular Biology 11 11%
Neuroscience 5 5%
Pharmacology, Toxicology and Pharmaceutical Science 3 3%
Other 9 9%
Unknown 11 11%