2010
DOI: 10.1677/erc-09-0203
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MicroRNAs in ovarian carcinomas

Abstract: The molecular mechanisms involved in epithelial ovarian cancer initiation and progression are

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Cited by 100 publications
(111 citation statements)
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“…miRs, a class of gene regulators, have been proven to be effective in classifying normal and cancerous tissues as well as cancer prognosis. Data on ovarian cancer thus far indicate that the miR network is very important to understanding ovarian cancer biology and resistance to therapy (19,20). Analyzing 198 samples of serous ovarian carcinoma, we discovered that three miRs (484, 642, and 217) were capable of conferring a responder or nonresponder status on ovarian cancer.…”
Section: Discussionmentioning
confidence: 99%
“…miRs, a class of gene regulators, have been proven to be effective in classifying normal and cancerous tissues as well as cancer prognosis. Data on ovarian cancer thus far indicate that the miR network is very important to understanding ovarian cancer biology and resistance to therapy (19,20). Analyzing 198 samples of serous ovarian carcinoma, we discovered that three miRs (484, 642, and 217) were capable of conferring a responder or nonresponder status on ovarian cancer.…”
Section: Discussionmentioning
confidence: 99%
“…Although the majority of ovarian cancer patients will respond to initial chemotherapy, most will ultimately develop disease recurrence (12). To develop more optimized and effective treatment strategies for ovarian cancer, it is critical to gain a deeper understanding of the molecular mechanisms of ovarian cancer and to identify targets for therapeutic intervention (13)(14)(15)(16). MiRNAs have recently been described as important players in human cancer and the role of microRNA as therapeutic targets has been proposed (17)(18)(19)(20).…”
Section: Discussionmentioning
confidence: 99%
“…However, there is no documentation on the protein level that could be affected by siRNA and possibly by various intracellular proteinases (reviewed in refs. [52][53][54]. Moreover, high percentage of normal ovaries defined by straight morphology were found by us as already at the stage of benign or even borderline tumors.…”
Section: Discussionmentioning
confidence: 56%