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dc.contributor.authorLin, Ka Wai
Liao, Angela
Qutub, Amina A.
dc.date.accessioned 2015-06-30T16:22:57Z
dc.date.available 2015-06-30T16:22:57Z
dc.date.issued 2015
dc.identifier.citation Lin, Ka Wai, Liao, Angela and Qutub, Amina A.. "Simulation Predicts IGFBP2-HIF1α Interaction Drives Glioblastoma Growth." PLoS Computational Biology, 11, no. 4 (2015) Public Library of Science: e1004169. http://dx.doi.org/10.1371/journal.pcbi.1004169.
dc.identifier.urihttps://hdl.handle.net/1911/80842
dc.description.abstract Tremendous strides have been made in improving patients’ survival from cancer with one glaring exception: brain cancer. Glioblastoma is the most common, aggressive and highly malignant type of primary brain tumor. The average overall survival remains less than 1 year. Notably, cancer patients with obesity and diabetes have worse outcomes and accelerated progression of glioblastoma. The root cause of this accelerated progression has been hypothesized to involve the insulin signaling pathway. However, while the process of invasive glioblastoma progression has been extensively studied macroscopically, it has not yet been well characterized with regards to intracellular insulin signaling. In this study we connect for the first time microscale insulin signaling activity with macroscale glioblastoma growth through the use of computational modeling. Results of the model suggest a novel observation: feedback from IGFBP2 to HIF1α is integral to the sustained growth of glioblastoma. Our study suggests that downstream signaling from IGFI to HIF1α, which has been the target of many insulin signaling drugs in clinical trials, plays a smaller role in overall tumor growth. These predictions strongly suggest redirecting the focus of glioma drug candidates on controlling the feedback between IGFBP2 and HIF1α.
dc.language.iso eng
dc.publisher Public Library of Science
dc.rights This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.title Simulation Predicts IGFBP2-HIF1α Interaction Drives Glioblastoma Growth
dc.type Journal article
dc.contributor.funder National Science Foundation
dc.citation.journalTitle PLoS Computational Biology
dc.citation.volumeNumber 11
dc.citation.issueNumber 4
dc.type.dcmi Text
dc.identifier.doihttp://dx.doi.org/10.1371/journal.pcbi.1004169
dc.identifier.pmcid PMC4401766
dc.identifier.pmid 25884993
dc.identifier.grantID 1150645 (National Science Foundation)
dc.type.publication publisher version
dc.citation.firstpage e1004169


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This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Except where otherwise noted, this item's license is described as This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.