BioMed Research International

BioMed Research International / 2014 / Article
Special Issue

Ovarian Cancer

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Review Article | Open Access

Volume 2014 |Article ID 232817 |

Kouji Banno, Megumi Yanokura, Miho Iida, Masataka Adachi, Kanako Nakamura, Yuya Nogami, Kiyoko Umene, Kenta Masuda, Iori Kisu, Hiroyuki Nomura, Fumio Kataoka, Eiichiro Tominaga, Daisuke Aoki, "Application of MicroRNA in Diagnosis and Treatment of Ovarian Cancer", BioMed Research International, vol. 2014, Article ID 232817, 6 pages, 2014.

Application of MicroRNA in Diagnosis and Treatment of Ovarian Cancer

Academic Editor: Yong-Sang Song
Received10 Dec 2013
Revised05 Mar 2014
Accepted05 Mar 2014
Published15 Apr 2014


Ovarian cancer has a poor prognosis because early detection is difficult and recurrent ovarian cancer is usually drug-resistant. The morbidity and mortality of ovarian cancer are high worldwide and new methods of diagnosis and therapy are needed. MicroRNAs (miRNAs) are posttranscriptional regulators of gene expression that are involved in carcinogenesis, metastasis, and invasion. Thus, miRNAs are likely to be useful as diagnostic and prognostic biomarkers and for cancer therapy. Many miRNAs have altered expression in ovarian cancer compared to normal ovarian tissues and these changes may be useful for diagnosis and treatment. For example, deficiencies of enzymes including Dicer and Drosha that are required for miRNA biogenesis may be adverse prognostic factors; miRNAs such as miR-214 and miR-31, which are involved in drug resistance, and the miR-200 family, which is implicated in metastasis, may serve as biomarkers; and transfection of downregulated miRNAs and inhibition of upregulated miRNAs may be effective for treatment of ovarian cancer. Chemotherapy targeting epigenetic mechanisms associated with miRNAs may also be effective to reverse gene silencing.

1. Introduction

Ovarian cancer is the eighth most common female cancer worldwide and ranks seventh in mortality. About 220,000 women are diagnosed with ovarian cancer each year and the disease causes about 140,000 deaths annually [1]. In Japan, the incidence and mortality of ovarian cancer have increased over the past 10 years [2, 3]. The 5-year survival rate for patients with advanced ovarian cancer is only 30%, despite the development of chemotherapy with platinum-based drugs and taxanes [4]. The high mortality is associated with difficulties in early detection because ovarian cancer rarely causes subjective symptoms and safe and minimally invasive procedures for early detection have not been established. Consequently, 40% to 50% of cases are detected in advanced stages III and IV. Another cause of the high mortality is resistance to chemotherapy. Ovarian cancer is highly responsive to initial anticancer treatment, but about half of the advanced cases recur within two years and have a decreased response to chemotherapy, resulting in a poor prognosis [5]. For these reasons, there is an urgent need to develop new therapies, find clinically useful biomarkers, and identify new targets for treatment of ovarian cancer.

Many studies of ovarian cancer have focused on protein-coding genes. However, RNA molecules transcribed from noncoding genes also have biological functions. These noncoding RNAs include microRNAs (miRNAs) that cleave a target mRNA and repress translation of proteins, and some miRNAs show site- and stage-specific differences in expression in ovarian cancers. Many recent studies have shown that miRNAs are involved in suppression or progression of ovarian cancer. Therefore, miRNAs may be useful as diagnostic and prognostic biomarkers and also for therapy. Epigenetic therapy related to miRNAs may be particularly effective for resensitization of ovarian cancer cells to chemotherapy after development of resistance and recurrence. In this paper, we describe the possible use of miRNAs in diagnosis and treatment of ovarian cancer.

2. miRNAs Implicated in Ovarian Function

Ovarian function, particularly follicular development, is controlled by hormones such as gonadotropins, including follicle-stimulating hormone (FSH) and luteinizing hormone (LH). The ovary itself also produces sex hormones such as progesterone and estrogen, as well as cytokines of the transforming growth factor beta (TGF-β) superfamily [6]. A recent study suggested cross talk between the signals of local ovarian factors and endocrine system hormones including gonadotropins [7]. Thus, ovarian function is controlled by complex molecular signaling that maintains normal follicular development and atresia, in which protein expression is regulated quantitatively and temporally. Failure of the regulatory mechanisms is likely to lead to various diseases, including infertility.

Follicular cells are roughly classified into theca cells, granulosa cells, and oocytes. Granulosa cells proliferate in a FSH-dependent manner during follicular maturation and are involved in estrogen synthesis. Mase et al. found that many miRNAs in the let-7 family are expressed in human ovarian granulosa KGN cells, which maintain expression of FSH receptors. Genes targeted by the let-7 family include those involved in follicular maturation and atresia, suggesting involvement of miRNAs in these phenomena [8]. Murchison et al. produced Dicer 1 knockout mice with oocyte-specific deletion of Dicer, an important enzyme for miRNA biogenesis. In these mice, functional expression of miRNAs was completely deleted. Dicer deletion had no effect on early folliculogenesis but arrested the first meiotic division in oocytes associated with spindle and chromosomal aggregation hypoplasia. More than 2,000 mRNAs had significantly changed expression associated with these abnormalities. During oocyte maturation, including meioses, gene transcription was completely repressed and only mRNAs inherited before maturation remained in cells. Expression of many mRNAs was affected in Dicer-deleted oocytes, suggesting direct or indirect posttranscriptional regulation by miRNAs [9].

3. Changes in miRNA Expression in Ovarian Cancer

Recent studies have identified many oncogenic miRNAs (oncomiRs) and tumor suppressor miRNAs (tumor suppressor miRs) (Table 1) [1016]. Iorio et al. found several miRNAs with altered expression in ovarian cancer tissues compared with normal tissues, with miR-199a, miR-200a, miR-200b, and miR-200c having significantly increased expression and miR-140, miR-145, and miR125b1 showing markedly decreased expression in the cancer tissues. miR-140 is located at 6q22, a common defective chromosomal site in ovarian tumors, and this miRNA is thought to target genes associated with invasion, including matrix metalloproteinase 13, fibroblast growth factor 2, and angiogenic VEGFA [10]. Bracken et al. showed that miR-429, miR-200a, and miR-200b are regulated by ZEB1 and SIP1, which are inhibitors of the epithelial-mesenchymal transition (EMT), and that miR-200a and miR-200b negatively regulate expression of ZEB1 and SIP1, providing a negative feedback loop [11].

Upregulated (oncomiRs)Downregulated (tumor suppressor miRs)


With regard to miRNA processing of mRNA, an interesting study of the relationship of ovarian cancer with miRNAs by Merritt et al. [12] showed that the mRNA levels of Dicer and Ribonuclease 3 (Drosha) decreased in 60% and 51% of tissue samples from 111 patients with invasive epithelial ovarian cancer. Downregulation of Dicer was significantly related to tumor stage progression and downregulation of Drosha was significantly related to a suboptimal residual tumor size >1 cm after cytoreductive surgery. Conversely, patients with high levels of Dicer and Drosha in cancer tissues had significantly prolonged median survival times. Cells with downregulation of Dicer and Drosha are likely to have lower levels of mature miRNAs, which suggests that certain miRNAs are involved in progression of ovarian cancer [12].

4. miRNAs Associated with Drug Resistance

A total of 27 miRNAs have been associated with responsiveness to chemotherapy [13]. Yang et al. found that miR-214, which targets PTEN, is frequently expressed in ovarian cancer tissues and that let-7i, which enhances resensitization to platinum resistance, is expressed less in the same tissues [14]. Mitamura et al. showed that control of MET expression by miR-31 is involved in drug-resistance mechanism in paclitaxel-resistant ovarian cancer cells [15]. Aqeilan et al. found that miR-15 and miR-16 cause cellular resistance to many drugs through targeting the BCL2 gene [16]. Leskelä et al. showed that the miR-200 family (miR-141, miR-200a, miR-200b, miR-200c, and miR-42) is implicated in the response to paclitaxel treatment and progression-free survival via β tubulin III regulation. In particular, miR-200c is significantly associated with recurrence of ovarian cancer and miR-429 is associated with progression-free and overall survival rates [17].

Key drugs against ovarian cancer are taxanes and cisplatin. Boyerinas et al. found that let-7g and let-7a are involved in drug resistance [18]. Let-7g suppresses IMP-1, which is involved in multidrug resistance and increased sensitivity to taxanes. The expression level of let-7a is a potential marker for choosing chemotherapeutic agents, since patients with extremely low let-7a expression are responsive to platinum-based drugs and paclitaxel, whereas those with high levels of let-7a had increased survival only in monotherapy with a platinum-based drug [19]. Nagaraja et al. and Peng et al. showed that miR-100, a tumor suppressor miRNA, increased sensitivity to everolimus, an anticancer drug [20, 21]. miR100 is also an independent predictor of overall survival in patients with ovarian cancer. Hong et al. showed that miR-376c suppresses signaling of Nodal/activin receptor-like kinase 7 (ALK7), which is involved in drug sensitivity, and decreases the effects of cisplatin and carboplatin [13]. Fu et al. found that miR-93 targets integrin and enhances tumor growth, angiogenesis, and the resistance for cisplatin [22].

5. Utility of miRNAs in Diagnosis of Ovarian Cancer

Many miRNAs have altered expression levels in ovarian cancer compared to normal tissues. In addition, changes in miRNA levels are dependent on and related to the ovarian cancer tissue type, stage, histological type, prognosis, and drug resistance (Table 2) [8, 10, 2330]. These findings suggest the possibility of early diagnosis of ovarian cancer using miRNAs. In the miR-200 family, Boyerinas et al. showed that miR-200a and miR-200c are expressed in serous adenocarcinoma, clear cell adenocarcinoma, and endometrioid adenocarcinoma, and miR-200b and miR-141 occur in endometrioid adenocarcinoma and mucinous adenocarcinoma [18]. Toloubeydokhti et al. found decreased expression of miR-212 in serous cystadenoma [31]. Target genes of miR-212 include those with overexpression in this histological type of ovarian cancer and mutated genes in hereditary ovarian cancer. Therefore, miR-212 may be a marker for differentiating ovarian cancer. Downregulation of miR-31, a tumor suppressor miRNA, has been shown in serous adenocarcinoma, and miR-31 suppresses expression of cell cycle regulatory factors via p53 [32]. Expression of miR-373 is variable in undifferentiated carcinoma [33], but the target genes and function of this miRNA are unknown. Overexpression of miR-21 in clear cell carcinoma has been shown to cause downregulation of PTEN [34].

Tissue typeUpregulationDownregulation

Serous adenocarcinomamiR-7    miR-200a/cmiR-148b
miR-22  miR-302bmiR-211
miR-373 miR-34c-5pmiR-31
miR-449a miR-146b-5p

Endometrioid adenocarcinomamiR-9 miR-183  miR-205miR-22   miR-222 miR-324-3p
miR-96  miR-196a miR-212miR-101 miR-299-5p miR-325
miR-182 miR-196bmiR-375miR-194 miR-302b miR-373
miR-141 miR-200a/b/c

Clear cell adenocarcinomamiR-29b miR-200a/cmiR-20a
miR-30a miR-486-5p

Mucinous adenocarcinoma miR-141 miR-200b

Undifferentiated carcinomamiR-9

6. Utility of miRNAs in Treatment of Ovarian Cancer

Treatment options for ovarian cancer include supplementation of miRNAs that are downregulated in cancer tissue for recovery of function and inhibition of the function of upregulated miRNAs by administration of complementary nucleic acids. Garzon et al. showed that the effects of upregulated oncomiRs could be suppressed using an antagomir, an oligonucleotide complementary to the miRNA administered as an antisense oligonucleotide or LNA [35]. Lu et al. developed an anti-miRNA antisense oligodeoxyribonucleotide (MTG-AMO) for suppression of many miRNAs, including miR-21, and showed that this was effective in cancer with concurrent multiple mRNA abnormalities [36]. Dai et al. established a therapy for ovarian cancer based on targeted delivery of miR-29a to cancer tissues for the purpose of reexpressing PTEN, a tumor suppressor. The potential antitumor effect of a miR-29a-transfected chimera was apparently based on expression of downstream molecules and apoptosis of ovarian cancer cells [37].

The association of miRNAs with peritoneal metastasis, the major cause of death in patients with ovarian cancer, has also been studied. Ohyagi-Hara et al. found that integrin α5, a fibronectin receptor, increased the adhesion of cancer cells and induced metastasis and focused on the inverse correlation of integrin α5 and miR-92a levels. Transfection of ovarian cancer cells with miR-92a reduced expression of integrin α5 and suppressed peritoneal metastasis [38]. Cittelly et al. found that recovery of the level of miR-200c, which is known to increase sensitivity to platinum-based anticancer drugs, by transfection suppressed carcinogenesis and decreased the number of cancer cells. Recovery of miR-200c in combination with paclitaxel also decreased the cancer cells in established tumors. These results suggest that recovery of miR-200c immediately before highly cytotoxic chemotherapy improves the treatment response or reduces the effective dose of the anticancer drugs [39]. These outcomes show that miRNA transfection has an antitumor effect. Transfected miRNAs are synthetic nucleic acids that require specific modes of administration [4042]. These approaches include intravenous administration of a complex with atelocollagen, nanoparticles with cell-specific targeting, and conjugation with RVG peptide for crossing the blood-brain barrier. Gene therapy for introduction of miRNAs may also be useful if safety can be confirmed.

Epigenetic therapy has attracted attention as an alternative to classical approaches such as miRNA transfection. Acquisition of drug resistance reduces the survival rate in cancer and many cases of ovarian cancer are resistant to platinum-based anticancer drugs. This resistance is associated with miRNAs and various drug-resistance genes induced by methylation and signaling gene silencing. However, epigenetic changes are reversible, in contrast to gene mutations, and there is a potential to reverse gene silencing using DNA methyltransferase (DNMT) inhibitors, which are drugs that prevent hypermethylation by irreversibly binding to the active site of DNMT [43]. These drugs are effective as monotherapy for hematologic malignancy [44, 45], but not in solid cancer. However, effects on solid cancer are likely to be found in combination with other drugs. In ovarian cancer cells, DNMT inhibitors induce hypomethylation and reverse resistance to platinum-based anticancer drugs. Phases I and II clinical trials of decitabine, a DNMT inhibitor, are ongoing in ovarian cancer [46, 47]. Matei et al. found that decitabine in combination with carboplatin restored the expression of silenced tumor suppressor genes and may contribute to resensitization of platinum-resistant endometrial cancer. A phase I clinical trial of decitabine has shown that combined administration with carboplatin is safe and decreases methylation of multiple genes in vivo [48].

Malignant tumors, including ovarian cancer, include cancer initiation cells and cancer stem cells, which are referred to as cancer progenitor cells and are involved in development of drug resistance [4951]. Chemotherapy targeting mitosis cannot eliminate all cancer stem cells during cell cycle arrest or low activity conditions, and residual cells promote regrowth of the tumor. Epigenetic therapy stabilizes differentiation and may target undifferentiated cancer stem cells. Thus, targeting of epigenetic mechanisms is likely to improve outcomes in ovarian cancer.

7. Conclusion

miRNAs have attracted significant interest, but the history of this field is relatively short and many issues remain to be resolved. Clinical studies of miRNAs have just started, but functional genomic analyses have produced results that may lead to clinical applications in the near future. Early diagnosis of ovarian cancer is important to improve treatment outcomes, and profiling using miRNA arrays may contribute to the detection of tissue type, stage, and prognosis. Induction of apoptosis of cancer cells using miRNAs may be a basic treatment strategy for reduction of metastasis, including peritoneal metastasis, and decreasing resistance to platinum-based anticancer drugs. Recovery of tumor suppression effects may be possible by transfection of miRNAs downregulated in cancer tissues or by suppression of upregulated miRNAs. miRNA expression may also be modified by targeting epigenetic mechanisms such as through reversal of hypermethylation. These potential treatment approaches will require further basic studies to facilitate drug discovery.

Conflict of Interests

The authors declare that they have no conflict of interests.


The authors gratefully acknowledge grant support from the Medical Research Encouragement Fund of the Japan Medical Association; the Japan Society for the Promotion of Science (JSPS) through a Grant-in-Aid for Scientific Research (KAKENHI), a Grant-in-Aid for Scientific Research (C) (22591866), and a Grant-in-Aid for Young Scientists (B) (24791718); and the Keio University Medical Science Fund through a Research Grant for Life Sciences and Medicine.


  1. J. Ferlay, H.-R. Shin, F. Bray, D. Forman, C. Mathers, and D. M. Parkin, “Estimates of worldwide burden of cancer in 2008: GLOBOCAN 2008,” International Journal of Cancer, vol. 127, no. 12, pp. 2893–2917, 2010. View at: Publisher Site | Google Scholar
  2. T. Yahata, C. Banzai, K. Tanaka, and Niigata Gynecological Cancer Registry, “Histology-specific long-term trends in the incidence of ovarian cancer and borderline tumor in Japanese females: a population-based study from 1983 to 2007,” Journal of Obstetrics and Gynaecology Research, vol. 38, pp. 645–650, 2012. View at: Google Scholar
  3. E. Weiderpas, S. Sandin, M. Inoue et al., “Risk factors for epithelial ovarian cancer in Japan: results from the Japan Public Health Center-based Prospective Study cohort,” International Journal of Oncology, vol. 40, no. 1, pp. 21–30, 2012. View at: Publisher Site | Google Scholar
  4. A. Jemal, R. Siegel, J. Xu, and E. Ward, “Cancer statistics, 2010,” CA: Cancer Journal for Clinicians, vol. 60, no. 5, pp. 277–300, 2010. View at: Publisher Site | Google Scholar
  5. A. Heintz, F. Odicino, P. Maisonneuve et al., “Carcinoma of the Ovary. FIGO 26th Annual Report on the Results of Treatment in Gynecological Cancer,” International Journal of Gynecology and Obstetrics, vol. 95, supplement 1, pp. S161–S192, 2006. View at: Publisher Site | Google Scholar
  6. S. Shimasaki, R. K. Moore, G. F. Erickson, and F. Otsuka, “The role of bone morphogenetic proteins in ovarian function,” Reproduction, vol. 61, pp. 323–337, 2003. View at: Google Scholar
  7. T. Minegishi, T. Kameda, T. Hirakawa, K. Abe, M. Tano, and Y. Ibuki, “Expression of gonadotropin and activin receptor messenger ribonucleic acid in human ovarian epithelial neoplasms,” Clinical Cancer Research, vol. 6, no. 7, pp. 2764–2770, 2000. View at: Google Scholar
  8. Y. Mase, O. Ishibashi, T. Ishikawa et al., “MiR-21 is enriched in the RNA-induced silencing complex and targets COL4A1 in human granulosa cell lines,” Reproductive Sciences, vol. 19, pp. 1030–1040, 2012. View at: Google Scholar
  9. E. P. Murchison, P. Stein, Z. Xuan et al., “Critical roles for Dicer in the female germline,” Genes and Development, vol. 21, no. 6, pp. 682–693, 2007. View at: Publisher Site | Google Scholar
  10. M. V. Iorio, R. Visone, G. Di Leva et al., “MicroRNA signatures in human ovarian cancer,” Cancer Research, vol. 67, no. 18, pp. 8699–8707, 2007. View at: Publisher Site | Google Scholar
  11. C. P. Bracken, P. A. Gregory, N. Kolesnikoff et al., “A double-negative feedback loop between ZEB1-SIP1 and the microRNA-200 family regulates epithelial-mesenchymal transition,” Cancer Research, vol. 68, no. 19, pp. 7846–7854, 2008. View at: Publisher Site | Google Scholar
  12. W. M. Merritt, Y. G. Lin, L. Y. Han et al., “Dicer, Drosha, and outcomes in patients with ovarian cancer,” The New England Journal of Medicine, vol. 359, no. 25, pp. 2641–2650, 2008. View at: Publisher Site | Google Scholar
  13. L. Hong, Z. Yang, J. Ma, and D. Fan, “Function of miRNA in controlling drug resistance of human cancers,” Current Drug Targets, vol. 14, pp. 1118–1127, 2013. View at: Google Scholar
  14. N. Yang, S. Kaur, S. Volinia et al., “MicroRNA microarray identifies Let-7i as a novel biomarker and therapeutic target in human epithelial ovarian cancer,” Cancer Research, vol. 10, pp. 2687–2693, 2004. View at: Google Scholar
  15. T. Mitamura, H. Watari, L. Wang et al., “Downregulation of miRNA-31 induces taxane resistance in ovarian cancer cells through increase of receptor tyrosine kinase MET,” Oncogenesis, vol. 2, article e40, 2013. View at: Google Scholar
  16. R. I. Aqeilan, G. A. Calin, and C. M. Croce, “MiR-15a and miR-16-1 in cancer: discovery, function and future perspectives,” Cell Death and Differentiation, vol. 17, no. 2, pp. 215–220, 2010. View at: Publisher Site | Google Scholar
  17. S. Leskelä, L. J. Leandro-García, M. Mendiola et al., “The miR-200 family controls β-tubulin III expression and is associated with paclitaxel-based treatment response and progression-free survival in ovarian cancer patients,” Endocrine-Related Cancer, vol. 18, no. 1, pp. 85–95, 2011. View at: Publisher Site | Google Scholar
  18. B. Boyerinas, S.-M. Park, A. E. Murmann et al., “Let-7 modulates acquired resistance of ovarian cancer to Taxanes via IMP-1-mediated stabilization of multidrug resistance 1,” International Journal of Cancer, vol. 130, no. 8, pp. 1787–1797, 2012. View at: Publisher Site | Google Scholar
  19. L. Lu, P. Schwartz, L. Scarampi et al., “MicroRNA let-7a: a potential marker for selection of paclitaxel in ovarian cancer management,” Gynecologic Oncology, vol. 122, no. 2, pp. 366–371, 2011. View at: Publisher Site | Google Scholar
  20. A. K. Nagaraja, C. J. Creighton, Z. Yu et al., “A link between mir-100 and FRAP1/mTOR in clear cell ovarian cancer,” Molecular Endocrinology, vol. 24, no. 2, pp. 447–463, 2010. View at: Publisher Site | Google Scholar
  21. D.-X. Peng, M. Luo, L.-W. Qiu, Y.-L. He, and X.-F. Wang, “Prognostic implications of microRNA-100 and its functional roles in human epithelial ovarian cancer,” Oncology Reports, vol. 27, no. 4, pp. 1238–1244, 2012. View at: Publisher Site | Google Scholar
  22. X. Fu, J. Tian, L. Zhang, Y. Chen, and Q. Hao, “Involvement of microRNA-93, a new regulator of PTEN/Akt signaling pathway, in regulation of chemotherapeutic drug cisplatin chemosensitivity in ovarian cancer cells,” FEBS Letters, vol. 586, no. 9, pp. 1279–1286, 2012. View at: Publisher Site | Google Scholar
  23. M. T. M. van Jaarsveld, J. Helleman, E. M. J. J. Berns, and E. A. C. Wiemer, “MicroRNAs in ovarian cancer biology and therapy resistance,” International Journal of Biochemistry and Cell Biology, vol. 42, no. 8, pp. 1282–1290, 2010. View at: Publisher Site | Google Scholar
  24. A. Laios, S. O'Toole, R. Flavin et al., “Potential role of miR-9 and miR-223 in recurrent ovarian cancer,” Molecular Cancer, vol. 7, article 35, 2008. View at: Publisher Site | Google Scholar
  25. E. J. Nam, H. Yoon, S. W. Kim et al., “MicroRNA expression profiles in serous ovarian carcinoma,” Clinical Cancer Research, vol. 14, no. 9, pp. 2690–2695, 2008. View at: Publisher Site | Google Scholar
  26. L. Zhang, S. Volinia, T. Bonome et al., “Genomic and epigenetic alterations deregulate microRNA expression in human epithelial ovarian cancer,” Proceedings of the National Academy of Sciences of the United States of America, vol. 105, no. 19, pp. 7004–7009, 2008. View at: Publisher Site | Google Scholar
  27. R. Eitan, M. Kushnir, G. Lithwick-Yanai et al., “Tumor microRNA expression patterns associated with resistance to platinum based chemotherapy and survival in ovarian cancer patients,” Gynecologic Oncology, vol. 114, no. 2, pp. 253–259, 2009. View at: Publisher Site | Google Scholar
  28. M. F. Gallagher, R. J. Flavin, S. A. Elbaruni et al., “Regulation of microRNA biosynthesis and expression in 2102Ep embryonal carcinoma stem cells is mirrored in ovarian serous adenocarcinoma patients,” Journal of Ovarian Research, vol. 2, no. 1, article 19, 2009. View at: Publisher Site | Google Scholar
  29. C.-H. Lee, S. Subramanian, A. H. Beck et al., “MicroRNA profiling of BRCA1/2 mutation-carrying and non-mutation-carrying high-grade serous carcinomas of ovary,” PLoS ONE, vol. 4, no. 10, Article ID e7314, 2009. View at: Publisher Site | Google Scholar
  30. S. K. Wyman, R. K. Parkin, P. S. Mitchell et al., “Repertoire of microRNAs in epithelial ovarian cancer as determined by next generation sequencing of small RNA cDNA libraries,” PLoS ONE, vol. 4, no. 4, Article ID e5311, 2009. View at: Publisher Site | Google Scholar
  31. T. Toloubeydokhti, O. Bukulmez, and N. Chegini, “Potential regulatory functions of MicroRNAs in the ovary,” Seminars in Reproductive Medicine, vol. 26, no. 6, pp. 469–478, 2008. View at: Publisher Site | Google Scholar
  32. C. J. Creighton, M. D. Fountain, Z. Yu et al., “Molecular profiling uncovers a p53-associated role for microRNA-31 in inhibiting the proliferation of serous ovarian carcinomas and other cancers,” Cancer Research, vol. 70, no. 5, pp. 1906–1915, 2010. View at: Publisher Site | Google Scholar
  33. P. M. Voorhoeve, C. le Sage, M. Schrier et al., “A genetic screen implicates miRNA-372 and miRNA-373 as oncogenes in testicular germ cell tumors,” Cell, vol. 124, no. 6, pp. 1169–1181, 2006. View at: Publisher Site | Google Scholar
  34. H. Yukihiro, Y. Nozomu, Y. Noriko, O. Kazunori, and O. Aikou, “MicroRNA-21 overexpression through the 17q21-24 amplication regulates PTEN tumor suppressor gene expression in ovarian clear cell carcinoma,” Acta Obstetrica Et Gynaecologya Japonica, vol. 65, artile 860, 2013. View at: Google Scholar
  35. R. Garzon, G. Marcucci, and C. M. Croce, “Targeting microRNAs in cancer: rationale, strategies and challenges,” Nature Reviews Drug Discovery, vol. 9, no. 10, pp. 775–789, 2010. View at: Publisher Site | Google Scholar
  36. Y. Lu, J. Xiao, H. Lin et al., “A single anti-microRNA antisense oligodeoxyribonucleotide (AMO) targeting multiple microRNAs offers an improved approach for microRNA interference,” Nucleic Acids Research, vol. 37, no. 3, article e24, 2009. View at: Publisher Site | Google Scholar
  37. F. Dai, Y. Zhang, X. Zhu, N. Shan, and Y. Chen, “Anticancer role of MUC1 aptamer-miR-29b chimera in epithelial ovarian carcinoma cells through regulation of PTEN methylation,” Targeted Oncology, vol. 7, pp. 217–225, 2012. View at: Google Scholar
  38. C. Ohyagi-Hara, K. Sawada, S. Kamiura et al., “miR-92a inhibits peritoneal dissemination of ovarian cancer cells by inhibiting integrin a5 expression,” The American Journal of Pathology, vol. 182, pp. 1876–1889, 2013. View at: Google Scholar
  39. D. M. Cittelly, I. Dimitrova, E. N. Howe et al., “Restoration of miR-200c to ovarian cancer reduces tumor burden and increases sensitivity to paclitaxel,” Molecular Cancer Therapeutics, vol. 11, pp. 2556–2565, 2012. View at: Google Scholar
  40. H. Valadi, K. Ekström, A. Bossios, M. Sjöstrand, J. J. Lee, and J. O. Lötvall, “Exosome-mediated transfer of mRNAs and microRNAs is a novel mechanism of genetic exchange between cells,” Nature Cell Biology, vol. 9, no. 6, pp. 654–659, 2007. View at: Publisher Site | Google Scholar
  41. N. Kosaka, H. Iguchi, Y. Yoshioka, F. Takeshita, Y. Matsuki, and T. Ochiya, “Secretory mechanisms and intercellular transfer of microRNAs in living cells,” Journal of Biological Chemistry, vol. 285, no. 23, pp. 17442–17452, 2010. View at: Publisher Site | Google Scholar
  42. N. Kosaka, H. Izumi, K. Sekine, and T. Ochiya, “MicroRNA as a new immune-regulatory agent in breast milk,” Silence, vol. 1, no. 1, article 7, 2010. View at: Publisher Site | Google Scholar
  43. A. Gnyszka, Z. Jastrzebski, and S. Flis, “DNA methyltransferase inhibitors and their emerging role in epigenetic therapy of cancer,” Anticancer Research, vol. 33, pp. 2989–2996, 2013. View at: Google Scholar
  44. A. R. Walker, R. B. Klisovic, R. Garzon et al., “Phase I study of azacitidine and bortezomib in adults with relapsed or refractory acute myeloid leukemia,” Leukemia Lymphoma. In press. View at: Google Scholar
  45. A. F. Andrade, K. S. Borges, A. M. Castro-Gamero et al., “Zebularine induces chemosensitization to methotrexate and efficiently decreases AhR gene methylation in childhood acute lymphoblastic leukemia cells,” Anticancer Drugs, vol. 25, pp. 72–81, 2014. View at: Google Scholar
  46. F. Fang, C. Balch, J. Schilder et al., “A phase 1 and pharmacodynamic study of decitabine in combination with carboplatin in patients with recurrent, platinum-resistant, epithelial ovarian cancer,” Cancer, vol. 116, no. 17, pp. 4043–4053, 2010. View at: Publisher Site | Google Scholar
  47. C. Sessa, W. Ten Bokkel Huinink, G. Stoter, J. Renards, and F. Cavalli, “Phase II study of 5-Aza-′-deoxycytidine in advanced ovarian carcinoma,” European Journal of Cancer, vol. 26, no. 2, pp. 137–138, 1990. View at: Publisher Site | Google Scholar
  48. D. Matei, F. Fang, C. Shen et al., “Epigenetic resensitization to platinum in ovarian cancer,” Cancer Research, vol. 72, no. 9, pp. 2197–2205, 2012. View at: Publisher Site | Google Scholar
  49. J. Liu, Z. Xiao, S. K. Wong et al., “Lung cancer tumorigenicity and drug resistance are maintained through ALDHhiCD44hi tumor initiating cells,” Oncotarget, vol. 4, pp. 1686–1699, 2013. View at: Google Scholar
  50. B. Li, X. L. Cheng, Y. P. Yang, and Z. Q. Li, “GRP78 mediates radiation resistance of a stem cell-like subpopulation within the MCF-7 breast cancer cell line,” Oncology Reports, vol. 30, pp. 2119–2126, 2013. View at: Google Scholar
  51. K. Yasuda, T. Torigoe, R. Morita et al., “Ovarian cancer stem cells are enriched in side population and aldehyde dehydrogenase bright overlapping population,” PLoS ONE, vol. 8, Article ID e68187, 2013. View at: Google Scholar

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