A Mathematical Model of Bimodal Epigenetic Control of miR-193a in Ovarian Cancer Stem Cells
| Autor: | Kenneth P. Nephew, Hung Cheng Lai, Jora M. J. Lin, Tzy Wei Hwang, Baltazar D. Aguda, Je Chiang Tsai, Gary C W Chen, Marek Kochańczyk, Michael W.Y. Chan, Frank H.C. Cheng |
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| Jazyk: | angličtina |
| Rok vydání: | 2014 |
| Předmět: |
Molecular Sequence Data
lcsh:Medicine E2F6 Transcription Factor Biology Bioinformatics medicine.disease_cause Epigenesis Genetic Cancer stem cell Cell Line Tumor microRNA Databases Genetic medicine Genetics Medicine and Health Sciences Humans Gene Regulatory Networks Epigenetics lcsh:Science Ovarian Neoplasms Multidisciplinary Base Sequence Models Genetic Applied Mathematics lcsh:R CD44 Biology and Life Sciences Computational Biology Reproducibility of Results medicine.disease Gene Expression Regulation Neoplastic MicroRNAs Proto-Oncogene Proteins c-kit Oncology DNA methylation Physical Sciences biology.protein Cancer research Neoplastic Stem Cells lcsh:Q Female Stem cell Ovarian cancer Carcinogenesis Mathematics Research Article |
| Zdroj: | PLoS ONE PLoS ONE, Vol 9, Iss 12, p e116050 (2014) |
| ISSN: | 1932-6203 |
| Popis: | Accumulating 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. |
| Databáze: | OpenAIRE |
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