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Differential microRNA Expression by Solexa Sequencing in the Sera of Ovarian Cancer Patients

  • Ji, Ting (Institute of Bioengineering, Zhejiang Sci-Tech University) ;
  • Zheng, Zhi-Guo (Zhejiang Cancer Research Institute, Zhejiang Cancer Hospital) ;
  • Wang, Feng-Mei (Women's Hospital, School of Medcine, Zhejiang University) ;
  • Xu, Li-Jian (Institute of Bioengineering, Zhejiang Sci-Tech University) ;
  • Li, Lu-Feng (Institute of Bioengineering, Zhejiang Sci-Tech University) ;
  • Cheng, Qi-Hui (Department of Gynaecology and Obstetrics, Hangzhou First People's Hospital) ;
  • Guo, Jiang-Feng (Institute of Bioengineering, Zhejiang Sci-Tech University) ;
  • Ding, Xian-Feng (Institute of Bioengineering, Zhejiang Sci-Tech University)
  • Published : 2014.02.28

Abstract

MicroRNAs are a class of small noncoding RNA which play important regulatory roles in a variety of cancers. MiRNA-specific expression profiles have been reported for several pathological conditions. In this study, we combined large scale parallel Solexa sequencing to identify 11 up-regulated miRNAs and 19 down-regulated miRNAs with computational techniques in the sera of ovarian cancer patients while using healthy serum as the control. Among the above, four miRNAs (miR-22, miR-93, miR-106b, miR-451) were validated by quantitative RT-PCR and found to be significantly aberrantly expressed in the serum of ovarian cancer patients (P<0.05). There were no significant differences between samples from cancer stage I/II and III/IV. However, the levels of miR-106b (p=0.003) and miR-451 (p=0.007) were significantly different in those patients under and over 51 yearsof age. MiR-451 and miR-93 were also specific when analyzed with reference to different levels of CA125. This study shows that Solexa sequencing provides a promising method for cancer-related miRNA profiling, and selectively expressed miRNAs could be used as potential serum-based biomarkers for ovarian cancer diagnosis.

Keywords

Ovarian cancer;serum;microRNAs;Solexa sequencing;diagnostic biomarkers

References

  1. Creighton C, Reid J, Gunaratne P (2009). Expression profiling of microRNAs by deep sequencing. Brief Bioinform, 10, 490-7. https://doi.org/10.1093/bib/bbp019
  2. Chen Y, Zhang L, Hao Q (2013). Candidate microRNA biomarkers in human epithelial ovarian cancer: systematic review profiling studies and experimental validation. Cancer Cell Int, 13, 2867-86.
  3. Corney D, Nikitin A (2008). MicroRNA and ovarian cancer. Histol and Histopathol, 23, 1161-9.
  4. Cortez M, Calin G (2009). MicroRNA identification in plasma and serum: a new tool to diagnose and monitor diseases. Expert Opin Biol Ther, 9, 703-11. https://doi.org/10.1517/14712590902932889
  5. Dahiya N, Sherman-Baust C, Wang T, et al (2008). MicroRNA expression and identification of putative miRNA targets in ovarian cancer. PLoS One 18, e2436.
  6. Fu X, Tian J, Zhang L, et al (2012). Involvement of microRNA-93, a new regulator of PTEN/Akt signaling pathway, in regulation of chemotherapeutic drug cisplatin chemosensitivity in ovarian cancer cells. FEBS Lett, 9, 1279-86.
  7. Garmire L, Subramaniam S (2012). Evaluation of normalization methods in mammalian microRNA-Seq data, RNA, 18, 1279-88. https://doi.org/10.1261/rna.030916.111
  8. Iorio M, Croce C (2012). MicroRNA dysregulation in cancer: diagnostics, monitoring and therapeutics. A comprehensive review. EMBO Mol Med, 4, 143-59. https://doi.org/10.1002/emmm.201100209
  9. Iorio M, Croce C (2012). microRNA involvement in human cancer. Carcinogenesis, 33, 1126-33. https://doi.org/10.1093/carcin/bgs140
  10. Iorio M, Visone R, Di Leva G, Donati V, et al (2007). MicroRNA signatures in human ovarian cancer. Cancer Res, 67, 8699-707. https://doi.org/10.1158/0008-5472.CAN-07-1936
  11. Kurman R, Visvanathan K, Roden R, et al (2008). Early detection and treatment of ovarian cancer: shifting from early stage to minimal volume of disease based on a new model of carcinogenesis. Am J Obstet Gynecol, 198, 351-6. https://doi.org/10.1016/j.ajog.2008.01.005
  12. Bartel D (2004). MicroRNAs: genomics, biogenesis, mechanism, and function. Cell, 116, 281-97. https://doi.org/10.1016/S0092-8674(04)00045-5
  13. Brase J, Wuttig D, Kuner R, et al (2010), Serum microRNAs as non-invasive biomarkers for cancer. Mol Cancer, 9, 306-15. https://doi.org/10.1186/1476-4598-9-306
  14. Calin G, Croce C (2006). MicroRNA signatures in human cancers.Nat Rev Cancer 6, 857-66. https://doi.org/10.1038/nrc1997
  15. Chen X, Ba Y, Ma L, et al (2008). Characterization of microRNAs in serum: a novel class of biomarkers for diagnosis of cancer and other diseases. Cell Res, 18, 997-1006. https://doi.org/10.1038/cr.2008.282
  16. Smith, R. Brooks C, et al (2013). Cancer screening in the United States. CA Cancer J Clin, 2, 87-105.
  17. Xu YZ, Xi QH, Ge WL, Zhang XQ (2013). Identification of serum microrna-21 as a biomarker for early detection and prognosis in human epithelial ovarian cancer. Asian Pac J Cancer Prev, 14, 1057-60. https://doi.org/10.7314/APJCP.2013.14.2.1057
  18. Ries L, Reichman M, Lewis D, et al (2003). Cancer survival and incidence from the Surveillance, Epidemiology, and End Results (SEER) program. Oncologist, 8, 541-52. https://doi.org/10.1634/theoncologist.8-6-541
  19. Rossing M, . Wicklund K, Cushing-Haugen K, et al (2010). Predictive value of symptoms for early detection of ovarian cancer. J Natl Cancer Inst, 102, 222-229. https://doi.org/10.1093/jnci/djp500
  20. Sankaranarayanan R, Ferlay J (2006). Worldwide burden of gynaecological cancer: the size of the problem. Best Pract Res Cl OB, 20, 207-25.
  21. Siegel R, Naishadham D, Jemal A (2013). Cancer statistics. CA Cancer J Clin, 63, 11-30. https://doi.org/10.3322/caac.21166
  22. Van M, Helleman J, Berns E, et al (2010). MicroRNAs in ovarian cancer biology and therapy resistance. Int J Biochem Cell B, 42, 1282-90. https://doi.org/10.1016/j.biocel.2010.01.014
  23. Visintin I, Feng Z, Longton G, et al (2008). Diagnostic markers for early detection of ovarian cancer. Clin Cancer Res, 14, 1065-72. https://doi.org/10.1158/1078-0432.CCR-07-1569
  24. Visone R, Croce C (2008). MicroRNA. Wiley Encyclopedia of Chemical Biology, 5, 1-9.
  25. Wan, SM, Lv F, et al (2012). Identification of genes and microRNAs involved in ovarian carcinogenesis. Asian Pac J Cancer P, 13, 3997-4000. https://doi.org/10.7314/APJCP.2012.13.8.3997
  26. Wu Q, Lu Z, Li H, et al (2011). Next-generation sequencing of microRNAs for breast cancer detection. J Biomed Biotechnology. 2011, 597145-52.
  27. Wyman S, Parkin R, Mitchell P, et al (2009). Repertoire of microRNAs in epithelial ovarian cancer as determined by next generation sequencing of small RNA cDNA libraries. PLoS One, 4, e5311. https://doi.org/10.1371/journal.pone.0005311
  28. Livak K, Schmittgen T (2001), Analysis of relative gene expression data using real-time quantitative PCR and the 2-[Delta][Delta] CT method. Methods 25, 402-8. https://doi.org/10.1006/meth.2001.1262
  29. Lee R, Ambros V (2001). An extensive class of small RNAs in Caenorhabditis elegans. Science, 294, 862-864. https://doi.org/10.1126/science.1065329
  30. Li J, Liang S, Lu X (2010). Potential role of ezrin and its related microRNA in ovarian cancer invasion and metastasis. Zhonghua Fu Chan Ke Za Zhi, 45, 787-92.
  31. Liu X, Liu L, Xu Q (2012). MicroRNA as a novel drug target for cancer therapy. Expert Opin Biol Th, 12, 573-80. https://doi.org/10.1517/14712598.2012.671293
  32. Mitchell P, Parkin R, Kroh E, et al (2008). Circulating microRNAs as stable blood-based markers for cancer detection. Proc Natl Acad Sci USA, 105, 10513-8. https://doi.org/10.1073/pnas.0804549105
  33. Moxon S, Jing R, Szittya G, et al (2008). Deep sequencing of tomato short RNAs identifies microRNAs targeting genes involved in fruit ripening. Genome Res, 18, 1602-9. https://doi.org/10.1101/gr.080127.108
  34. Nam E, Yoon H, Kim S, et al (2008), MicroRNA expression profiles in serous ovarian carcinoma. Clin Cancer Res, 14, 2690-5. https://doi.org/10.1158/1078-0432.CCR-07-1731
  35. Rathjen T, Pais H, Sweetman D, et al (2009). High throughput sequencing of microRNAs in chicken somites. FEBS Lett, 583, 1422-6. https://doi.org/10.1016/j.febslet.2009.03.048
  36. Resnick K, Alder H, Hagan J, et al (2009). The detection of differentially expressed microRNAs from the serum of ovarian cancer patients using a novel real-time PCR platform. Gynecol Oncol, 112, 55-9. https://doi.org/10.1016/j.ygyno.2008.08.036

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