Molecular understanding of deregulated differentiation pathways in TSCs: The delicate balance between stem cell self-renewal and differentiation is controlled by various cell intrinsic and extrinsic factors that are critical for normal tissue homeostasis. Despite extensive phenotypic and functional similarities between TSCs and normal stem cells, the differentiation potentials of TSCs are not entirely normal. Elucidation of the differentiation pathways operative in both normal stem cells and TSCs will be critical for fully understanding tumorigenesis and will likely lead to novel therapeutic targets. We have identified a set of deregulated differentiation pathways in TSCs derived from human primary glioblastoma. We demonstrated that both bone morphogenetic protein (BMP)-mediated and ciliary neurotrophic factor (CNTF)-mediated Janus kinase/signal transducer and activator of transcription (Jak/STAT) pathways elicit distinct biological consequences in adult brain derived TSCs compared to normal neural stem cells (NSCs). Like very early embryonic NSCs, 0308 TSCs proliferate in response to BMP and elicit marginal STAT3 activation after CNTF challenge. However, unlike normal NSCs in later developmental stages that acquire responsiveness to CNTF-triggered STAT3 activation in association with increased expression of BMP receptor 1B (BMPR1B), 0308 cells do not express BMPR1B secondary to Enhancer of Zeste homolog 2 (EZH2)-dependent BMPR1B promoter hypermethylation. Forced expression of BMPR1B in 0308 TICs either by transgene expression or demethylation of the promoter fully restores their differentiation capabilities and induces loss of their tumorigenicity not only via a BMP-mediated pathway but also by CNTF-mediated Jak/STAT activation. A survey of 54 primary human glioblastomas reveals that approximately 20% have suppressed expression of BMPR1B associated with promoter hypermethylation. Taken together, these data implicate that deregulation of the BMP developmental differentiation pathway in a subset of glioblastoma TSCs contributes to their tumorigenic phenotype by not only desensitizing TIC to normal differentiation cues, but also by converting otherwise cytostatic signals to pro-proliferative signals. Extensive in vitro and in vivo characterization of GBM TSCs by using differentiation-inducing agents such as retinoic acid demonstrated that these TSCs differentiate efficiently and stop proliferation. We have demonstrated that retinoic acid treatment achieve cyctostatic effect by decreasing the proportion of CD133 positive cells, a putative marker for brain TSCs, from tumors and by inducing differentiation into astroglial lineage. Interestingly, a subset of GBM TICs pretreated with radiation and chemotherapeutic agents in vivo, do not reveal significant retinoic acid-mediated differentiation. Elucidation of underlying molecular mechanism will provide important clue for predicting sensitivity of differentiation therapeutic approach. Characterization of TSCs in aspect of differentiation-inducing agents further revealed the limitation of traditional glioma cell lines grown in serum. For example, retinoic acid treatment and CNTF exposure potently induce differentiation in most GBM TICs but not of traditional cell lines. This prompted us to question whether many of potential tumor suppressors and/or cytostatic genes previously studied in cell lines, were not recognized. Given the ever increasing number of potential TSGs and oncogenes in glioblastoma TSCs identified from bioinformatics approach and technical expertise of stem cell culture accumulated in the laboratories, we have set up screening systems to study the function of these genes in stem cell cultures. We have also made significant progress on one of keystone projects that is to understand the genomic and molecular signaling similarities and differences between our glioma TSCs and normal neural stem cells (NSC). We have performed a very large scale study of 7 different GBM-derived TSC and normal embryonic NSC lines under both proliferative and differentiating conditions and derived high-throughput mRNA and microRNAs profiling. We are in the midst of performing the computational analyses of the signaling pathways similar and different between NSC and TSC and are about to compliment the array data by performing ChIP-seq analyses of certain transcription factors we have found to be pivotal in TSC biology.

National Institute of Health (NIH)
National Cancer Institute (NCI)
Investigator-Initiated Intramural Research Projects (ZIA)
Project #
Application #
Study Section
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
National Cancer Institute Division of Basic Sciences
Zip Code
Fraum, Tyler J; Kreisl, Teri N; Sul, Joohee et al. (2011) Ischemic stroke and intracranial hemorrhage in glioma patients on antiangiogenic therapy. J Neurooncol 105:281-9
Riddick, Gregory; Song, Hua; Ahn, Susie et al. (2011) Predicting in vitro drug sensitivity using Random Forests. Bioinformatics 27:220-4
Edwards, Lincoln A; Woolard, Kevin; Son, Myung Jin et al. (2011) Effect of brain- and tumor-derived connective tissue growth factor on glioma invasion. J Natl Cancer Inst 103:1162-78
Riddick, Gregory; Fine, Howard A (2011) Integration and analysis of genome-scale data from gliomas. Nat Rev Neurol 7:439-50
Wuchty, Stefan; Arjona, Dolores; Li, Aiguo et al. (2011) Prediction of Associations between microRNAs and Gene Expression in Glioma Biology. PLoS One 6:e14681
Park, John K; Hodges, Tiffany; Arko, Leopold et al. (2010) Scale to predict survival after surgery for recurrent glioblastoma multiforme. J Clin Oncol 28:3838-43
Kotliarov, Yuri; Bozdag, Serdar; Cheng, Hangjiong et al. (2010) CNAReporter: a GenePattern pipeline for the generation of clinical reports of genomic alterations. BMC Med Genomics 3:11
Sul, Joohee; Fine, Howard A (2010) Malignant gliomas: new translational therapies. Mt Sinai J Med 77:655-66
Iwamoto, Fabio M; Fine, Howard A (2010) Bevacizumab for malignant gliomas. Arch Neurol 67:285-8
Wuchty, Stefan; Zhang, Alice; Walling, Jennifer et al. (2010) Gene pathways and subnetworks distinguish between major glioma subtypes and elucidate potential underlying biology. J Biomed Inform 43:945-52

Showing the most recent 10 out of 16 publications