MicroRNAs in ovarian cancer biology and therapy resistance

被引:141
|
作者
van Jaarsveld, Marijn T. M. [1 ]
Helleman, Jozien [1 ]
Berns, Els M. J. J. [1 ]
Wiemer, Erik A. C. [1 ]
机构
[1] Erasmus MC, Josephine Nefkens Inst, Dept Med Oncol, NL-3015 GE Rotterdam, Netherlands
来源
INTERNATIONAL JOURNAL OF BIOCHEMISTRY & CELL BIOLOGY | 2010年 / 42卷 / 08期
关键词
Ovarian cancer; microRNA; miR-200; family; Let-7; Therapy resistance; EPITHELIAL-MESENCHYMAL TRANSITION; MIR-200; FAMILY; REPRESSORS ZEB1; STEM-CELLS; EXPRESSION; CHEMOTHERAPY; CARCINOMA; GROWTH; ADENOCARCINOMA; LET-7A-3;
D O I
10.1016/j.biocel.2010.01.014
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Epithelial ovarian cancer is the most common cause of death from gynecological malignancies in the Western world. The overall 5-year survival is only 30% due to late diagnosis and development of resistance to chemotherapy. There is, therefore, a strong need for prognostic and predictive markers to help optimize and personalize treatment hence ameliorating the prognosis of ovarian cancer patients. Since 2006, an increasing number of studies have indicated an essential role for microRNAs in ovarian cancer tumorigenesis. In this review, we provide an overview of the microRNAs that have been associated with different aspects of ovarian cancer, such as tumor subtype, stage, histological grade, germline mutations in BRCA genes, prognosis and therapy resistance. We highlight the role of the let-7 and miR-200 families, two major microRNA families that are frequently dysregulated in ovarian cancer and have been associated with poor prognosis. Interestingly, both have been implicated in the regulation of the epithelial-to-mesenchymal transition, a cellular transition associated with tumor aggressiveness, tumor invasion and chemoresistance. Furthermore, we discuss several other microRNAs that have been associated with chemotherapy resistance, such as miR-214, miR-130a, miR-27a and miR-451. In the final section, we speculate on the possibilities of microRNA-based therapies and the use of microRNAs as diagnostic tools. (C) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1282 / 1290
页数:9
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