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Full-Text Articles in Cancer Biology
Comparative Molecular Characterization Of Typical And Exceptional Responders In Glioblastoma, Kristin Wipfler
Comparative Molecular Characterization Of Typical And Exceptional Responders In Glioblastoma, Kristin Wipfler
Theses & Dissertations
Glioblastoma (GBM) is the most common and the deadliest type of primary brain tumor, with a median survival time of only 15 months despite aggressive treatment. Although most patients have an extremely poor prognosis, a small number of patients survive far beyond the median survival time. Investigation of these “exceptional responders” has sparked a great deal of interest and is becoming an important focus in the field of cancer research. To investigate the molecular differences between typical and exceptional responders in GBM, comparative analyses of copy number, methylation, gene expression, miRNA expression, and protein expression data sets from The Cancer …
Wisp1 Is An Overexpressed Driver Of Glioblastoma, Pushan R. Dasgupta
Wisp1 Is An Overexpressed Driver Of Glioblastoma, Pushan R. Dasgupta
Dissertations & Theses (Open Access)
Despite current multimodal therapies for glioblastoma (GBM) the prognosis remains very grim. There is a tremendous need to identify new genetic drivers which can serve as potential therapeutic targets. In order to find new drivers, we leveraged genomic datasets to conduct a context specific in vivo functional genomic screen of overexpressed and/or amplified genes in GBM. We identified WISP1, a secreted extracellular matrix protein, to be an overexpressed driver in GBM. Overexpression of WISP1 was able to drive tumor growth in various in vivo models. Knockdown of WISP1 with shRNAs resulted in reduced colony formation in vitro and reduced tumor …
A Machine Learning Classifier Trained On Cancer Transcriptomes Detects Nf1 Inactivation Signal In Glioblastoma, Gregory P. Way, Robert J. Allaway, Stephanie J. J. Bouley, Camilo E. Fadul, Yolanda Sanchez, Casey Greene
A Machine Learning Classifier Trained On Cancer Transcriptomes Detects Nf1 Inactivation Signal In Glioblastoma, Gregory P. Way, Robert J. Allaway, Stephanie J. J. Bouley, Camilo E. Fadul, Yolanda Sanchez, Casey Greene
Dartmouth Scholarship
We have identified molecules that exhibit synthetic lethality in cells with loss of the neurofibromin 1 (NF1) tumor suppressor gene. However, recognizing tumors that have inactivation of the NF1 tumor suppressor function is challenging because the loss may occur via mechanisms that do not involve mutation of the genomic locus. Degradation of the NF1 protein, independent of NF1 mutation status, phenocopies inactivating mutations to drive tumors in human glioma cell lines. NF1 inactivation may alter the transcriptional landscape of a tumor and allow a machine learning classifier to detect which tumors will benefit from synthetic lethal molecules. We …