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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 role of certain post classes in boolean network models of genetic networks显示文摘 | I Shmulevich H Lhdesmki E R Dougherty | 2003 | Proceedings of the National Academy of Sciences2003，100，10： | 1 |
| 4 | Acoustic testing of avocado for fruit ripeness evaluation显示文摘 | Galili N I Shmulevich N Benichou | 1998 | Trans of the ASAE1998，41，2： | 1 |
| 5 | Gene perturbation and in probabilistic Boolean network 显示文摘 | Shmulevich I Dougherty ER Zhang W | 2002 | Bioinformatics2002，18，10： | 1 |
| 6 | 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 |
| 7 | Interaction between soil and a wide cutting blade using the discrete element method显示文摘 | SHMULEVICH I ASAF Z RUBINSTEIN D | 2007 | Soil & Tillage Research2007，97，1： | 1 |
| 8 | Interaction between soil and a wide cutting blade using the discrete element method显示文摘 | SHMULEVICH I ASAF Z RUBINSTEIN D | 2007 | Soil&Tillage Research2007，97，1： | 1 |
| 9 | Probabilistic Boolean Networks: a Rulebased Uncertainty Model for Gene Regulatory Networks显示文摘 | Shmulevich I Dougherty E R Kim S | 2002 | Bioinformatics2002，18，1： | 1 |
| 10 | Insulin-like growth fac- tor binding protein 2 promotes ovarian cancer cell invasion 显示文摘 | Lee E J Mircean C Shmulevich I | 2005 | Mol Cancer2005，4，1： | 1 |
| 11 | Mid-infrared Spectroscopic Determination of Soil Nitrate Content显示文摘 | B.R. Jahn R. Linker S.K. Upadhyaya A. Shaviv D.C. Slaughter I. Shmulevich | 2006 | Biosystems Engineering2006，，4： | 1 |
| 12 | State of the art modeling of soil - tillage interaction using discrete element method 显示文摘 | Shmulevich I | 2010 | Soil & Tillage Research2010，111，： | 1 |
| 13 | Insulin-like growth factor binding protein 2 promotes ovarian cancer cell invasion显示文摘 | Lee EJ Mircean C Shmulevich I | 2005 | Mol Cancer2005，4，1： | 1 |
| 14 | Binary Analysis and Optimization-based Normalization of Gene Expression Data显示文摘 | Shmulevich I Zhang W | 2002 | Bioinformatics2002，18，4： | 1 |
| 15 | Probabilistic Boolean Networks:a Rule-based Uncertainty Model for Gene Regulatory Networks显示文摘 | Shmulevich I Dougherty E R Kim S | 2002 | Bioinformatics2002，18，1： | 1 |
| 16 | Determination of discrete element model parameters required for soil tillage 显示文摘 | ASAF Z RLIBINSTEIN D SHMULEVICH I | 2007 | Soil and Tillage Research2007，92，12： | 1 |
| 17 | Insulin-like growth fac- tor binding protein 2 promotes ovarian cancer cell invasion 显示文摘 | Lee E J Mircean C Shmulevich I | 2005 | Mol Cancer2005，4，1： | 1 |
| 18 | Evalu- ation of Link-track Performances Using DEM显示文摘 | ASAF Z RUBINSTEIN D SHMULEVICH I | 2006 | Journal of Terramechanics2006，43，2： | 1 |
| 19 | Probabilistic Boolean networks: a rule-based uncertainty model for gene regulatory networks 显示文摘 | Shmulevich Llya Dougherty Edward R Kim Seungchan | 2002 | Bioinformatics2002，15，： | 1 |
| 20 | Evaluation of link-track performances using DEM显示文摘 | AsafZ Rubinstein D Shmulevich I | 2006 | J Terramechnic2006，43，： | 1 |
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