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您的检索式：作者名="Ilya Shmulevich"
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| 1 | Key nodes of a micro RNA network associated with the integrated mesenchymal subtype of high-grade serous ovarian cancer显示文摘Metastasis is the main cause of cancer mortality. One of the initiating events of cancer metastasis of epithelial tumors is epithelial-to-mesenchymal transition(EMT), during which cells dedifferentiate from a relatively rigid cell structure/morphology to a flexible and changeable structure/morphology often associated with mesenchymal cells. The presence of EMT in human epithelial tumors is reflected by the increased expression of genes and levels of proteins that are preferentially present in mesenchymal cells. The combined presence of these genes forms the basis of mesenchymal gene signatures, which are the foundation for classifying a mesenchymal subtype of tumors. Indeed, tumor classification schemes that use clustering analysis of large genomic characterizations, like The Cancer Genome Atlas(TCGA), have defined mesenchymal subtype in a number of cancer types, such as high-grade serous ovarian cancer and glioblastoma. However, recent analyses have shown that gene expression-based classifications of mesenchymal subtypes often do not associate with poor survival. This 'paradox' can be ameliorated using integrated analysis that combines multiple data types. We recently found that integrating m RNA and micro RNA(mi RNA) data revealed an integrated mesenchymal subtype that is consistently associated with poor survival in multiple cohorts of patients with serous ovarian cancer. This network consists of 8 major mi RNAs and 214 m RNAs. Among the 8 mi RNAs, 4 are known to be regulators of EMT. This review provides a summary of these 8 mi RNAs, which were associated with the integrated mesenchymal subtype of serous ovarian cancer. | Yan Sun Fei Guo Marina Bagnoli Feng-Xia Xue Bao-Cun Sun Ilya Shmulevich Delia Mezzanzanica Ke-Xin Chen Anil K. Sood Da Yang Wei Zhang | 2015 | Chinese Journal of Cancer2015，34，1： | 10 |
| 2 | Large-scale molecular characterization and analysis of gastric cancer显示文摘The recent effort by The Cancer Genome Atlas(TCGA)Network has revealed that gastric cancer,which is a leading cause of cancerrelated deaths worldwide with a 5-year survival rate less than 25%,is a much more heterogeneous disease than previously thought.And yet,conventional treatment approaches and clinical trials have assumed it is a single disease. | Ilya Shmulevich | 2014 | Chinese Journal of Cancer2014，33，8： | 5 |
| 3 | The Somatic Genomic Landscape of Glioblastoma显示文摘 | Cameron W. Brennan Roel G.W. Verhaak Aaron McKenna Benito Campos Houtan Noushmehr Sofie R. Salama Siyuan Zheng Debyani Chakravarty J. Zachary Sanborn Samuel H. Berman Rameen Beroukhim Brady Bernard Chang-Jiun Wu Giannicola Genovese Ilya Shmulevich Jill Ba | 2014 | Cell2014，，3： | 1 |
| 4 | From boolean to probabilistic boolean networks as models of ge- netic regulatory networks 显示文摘 | Ilya Shmulevich Edward R Dougherty Wei Zhang | 2002 | Proceedings of the IEEE2002，90，11： | 1 |
| 5 | Perceptual issues in music pattern recognition: Complexity of Rhythm and Key Finding显示文摘 | Ilya Shmulevich Olli Yli-harja Edward Coyle | 2001 | Computers and the Humanities2001，35，： | 1 |
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