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Phosphoinositide 3-kinase in Health and Disease

Overview of attention for book
Attention for Chapter 67: Targeting the RTK-PI3K-mTOR axis in malignant glioma: overcoming resistance.
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Chapter title
Targeting the RTK-PI3K-mTOR axis in malignant glioma: overcoming resistance.
Chapter number 67
Book title
Phosphoinositide 3-kinase in Health and Disease
Published in
Current topics in microbiology and immunology, January 2010
DOI 10.1007/82_2010_67
Pubmed ID
Book ISBNs
978-3-64-214815-6, 978-3-64-214816-3
Authors

Fan, Qi-Wen, Weiss, William A, Qi-Wen Fan, William A. Weiss, Weiss, William A.

Abstract

Gliomas represent the most common primary brain tumor and among the most aggressive of cancers. Patients with glioma typically relapse within a year of initial diagnosis. Recurrent glioma is associated with acquired therapeutic resistance. Although neurosurgical resection, radiation and chemotherapy provide clear benefit, survival remains disappointing. It is, therefore, critical that we identify effective medical therapies and appropriate tumor biomarkers in patients at initial presentation, to promote durable responses in glioma. Pathways linking receptor tyrosine kinases, PI3 kinase, Akt, and mTOR feature prominently in this disease and represent therapeutic targets. Small molecules that inhibit one or more of these kinases are now being introduced into the clinic and may have some activity. Disappointingly, however, preclinical studies demonstrate these agents to be primarily cytostatic rather than cytotoxic to glioma cells. Here, we detail activation of the EGFR-PI3K-Akt-mTOR signaling network in glioma, review class I PI3K inhibitors, discuss roles for Akt, PKC and mTOR, and the importance of biomarkers. We further delineate attempts to target both single and multiple components within the EGFR-PI3K-Akt-mTOR axes. Lastly, we discuss the need to combine targeted therapies with cytotoxic chemotherapy, radiation and with inhibitors of survival signaling to improve outcomes in glioma.

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Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 3 13%
Professor > Associate Professor 3 13%
Student > Ph. D. Student 3 13%
Student > Master 2 9%
Researcher 2 9%
Other 2 9%
Unknown 8 35%
Readers by discipline Count As %
Medicine and Dentistry 6 26%
Biochemistry, Genetics and Molecular Biology 3 13%
Agricultural and Biological Sciences 3 13%
Social Sciences 1 4%
Neuroscience 1 4%
Other 1 4%
Unknown 8 35%