期刊
CHINESE JOURNAL OF CANCER
卷 34, 期 1, 页码 28-40出版社
SUN YAT SEN UNIV MED SCI WHO
DOI: 10.5732/cjc.014.10284
关键词
MicroRNA (miRNA); epithelial-to-mesenchymal transition (EMT); cancer; ovary; miR-506; miR-101
类别
资金
- U.S. National Institutes of Health [U24 CA143835, P50 CA083639, P50 CA098258]
- MD Anderson support grant [CA016672]
- Blanton-Davis Ovarian Cancer Research Program
- Program for Changjiang Scholars, Innovative Research Team in University (PCSIRT) in China
- National Key Scientific and Technological Project [2011ZX0 9307-001-04]
- Tianjin Science and Technology Committee Foundation [09ZCZDSF04700]
- National Nature Science Foundation of China [81201651]
- Fondazione CARIPLO [2013-0865]
- A. Lavoy Moore Endowment Fund
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 paradoxcan be ameliorated using integrated analysis that combines multiple data types. We recently found that integrating mRNA and microRNA (miRNA) 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 miRNAs and 214 mRNAs. Among the 8 miRNAs, 4 are known to be regulators of EMT. This review provides a summary of these 8 miRNAs, which were associated with the integrated mesenchymal subtype of serous ovarian cancer.
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