A mathematical model of bimodal epigenetic control of miR-193a in ovarian cancer stem cells

dc.contributor.authorCheng, Frank H.C.
dc.contributor.authorAguda, Baltazar
dc.contributor.authorTsai, Je-Chiang
dc.contributor.authorKochanczyk, Marek
dc.contributor.authorLin, Jora M.J.
dc.contributor.authorChen, Gary C.W.
dc.contributor.authorLai, Hung-Cheng
dc.contributor.authorNephew, Kenneth P.
dc.contributor.authorHwang, Tzy-Wei
dc.contributor.authorChan, Michael W.Y.
dc.contributor.departmentDepartment of Cellular and Integrative Physiology, IU School of Medicineen_US
dc.date.accessioned2016-06-16T18:34:31Z
dc.date.available2016-06-16T18:34:31Z
dc.date.issued2014-12-29
dc.description.abstractAccumulating data indicate that cancer stem cells contribute to tumor chemoresistance and their persistence alters clinical outcome. Our previous study has shown that ovarian cancer may be initiated by ovarian cancer initiating cells (OCIC) characterized by surface antigen CD44 and c-KIT (CD117). It has been experimentally demonstrated that a microRNA, namely miR-193a, targets c-KIT mRNA for degradation and could play a crucial role in ovarian cancer development. How miR-193a is regulated is poorly understood and the emerging picture is complex. To unravel this complexity, we propose a mathematical model to explore how estrogen-mediated up-regulation of another target of miR-193a, namely E2F6, can attenuate the function of miR-193a in two ways, one through a competition of E2F6 and c-KIT transcripts for miR-193a, and second by binding of E2F6 protein, in association with a polycomb complex, to the promoter of miR-193a to down-regulate its transcription. Our model predicts that this bimodal control increases the expression of c-KIT and that the second mode of epigenetic regulation is required to generate a switching behavior in c-KIT and E2F6 expressions. Additional analysis of the TCGA ovarian cancer dataset demonstrates that ovarian cancer patients with low expression of EZH2, a polycomb-group family protein, show positive correlation between E2F6 and c-KIT. We conjecture that a simultaneous EZH2 inhibition and anti-estrogen therapy can constitute an effective combined therapeutic strategy against ovarian cancer.en_US
dc.identifier.citationCheng, F. H. C., Aguda, B. D., Tsai, J.-C., Kochańczyk, M., Lin, J. M. J., Chen, G. C. W., … Chan, M. W. Y. (2014). A Mathematical Model of Bimodal Epigenetic Control of miR-193a in Ovarian Cancer Stem Cells. PLoS ONE, 9(12), e116050. http://doi.org/10.1371/journal.pone.0116050en_US
dc.identifier.urihttps://hdl.handle.net/1805/10002
dc.language.isoen_USen_US
dc.publisherPLoSen_US
dc.relation.isversionof10.1371/journal.pone.0116050en_US
dc.relation.journalPLoS ONEen_US
dc.rightsPublisher Policyen_US
dc.sourcePMCen_US
dc.subjectCell Line, Tumoren_US
dc.subjectDatabases, Geneticen_US
dc.subjectE2F6 Transcription Factor -- Metabolismen_US
dc.subjectBase Sequenceen_US
dc.subjectEpigenesis, Geneticen_US
dc.subjectGene Expression Regulation, Neoplasticen_US
dc.subjectMicroRNAsen_US
dc.subjectMolecular Sequence Dataen_US
dc.subjectNeoplastic Stem Cellsen_US
dc.subjectOvarian Neoplasmsen_US
dc.titleA mathematical model of bimodal epigenetic control of miR-193a in ovarian cancer stem cellsen_US
dc.typeArticleen_US
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