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Involvement of MicroRNA-198 Overexpression in the Poor Prognosis of Esophageal Cancer

  • Qi, Bo (Department of Thoracic Surgery, the First Affiliated Hospital of Xinxiang Medical University) ;
  • Yao, Wen-Jian (Department of Thoracic Surgery, the First Affiliated Hospital of Xinxiang Medical University) ;
  • Zhao, Bao-Sheng (Department of Thoracic Surgery, the First Affiliated Hospital of Xinxiang Medical University) ;
  • Qin, Xiu-Guang (Department of Thoracic Surgery, the First Affiliated Hospital of Xinxiang Medical University) ;
  • Wang, Yi (Department of Thoracic Surgery, the First Affiliated Hospital of Xinxiang Medical University) ;
  • Wang, Wen-Ju (Gastroscopy Room, the First Affiliated Hospital of Xinxiang Medical University) ;
  • Wang, Tian-Yun (Department of Biochemistry and Molecular Biology, Xinxiang Medical University) ;
  • Liu, Shang-Guo (Department of Thoracic Surgery, the First Affiliated Hospital of Xinxiang Medical University) ;
  • Li, Han-Chen (Department of Thoracic Surgery, the First Affiliated Hospital of Xinxiang Medical University)
  • Published : 2013.09.30

Abstract

Objective: This study aimed to investigate whether the miR-198 expression level is related to clinicopathological factors and prognosis of esophageal cancer. Methods: MicroRNA was extracted from esophageal cancer patients who underwent surgery for assessment using the Taqman@ MicroRNA assay. The correlation between miR-198 expression and clinicopathological features was analyzed, and the significance of miR-198 as a prognostic factor and its relationship with survival was determined. Results: MicroRNA-198 (miR-198) expression was higher in patients with poor prognosis than those with good prognosis (P<0.05). Kaplan-Meier analysis results showed that the miR-198 expression level had a significant correlation with survival time (P=0.030) and that patients with a higher expression of miR-198 had a shorter survival time. Cox multi-factor model analysis showed that patient prognosis (P=0.014), tumor length (P=0.040) and expression (P=0.012), and survival time had a significant correlation; the corresponding risks were 7.268, 1.246, and 3.524, respectively. Conclusion: miR-198 overexpression is involved in the poor prognosis of esophageal cancer and can be used as a biomarker for selection of cases requiring especial attention.

Keywords

References

  1. Zhao L, Vogt PK (2008). Helical domain and kinase domain mutations in p110alpha of phosphatidylinositol 3-kinase induce gain of function by different mechanisms. Proc Natl Acad Sci USA, 105, 2652-7. https://doi.org/10.1073/pnas.0712169105
  2. Hobert O (2008). Gene regulation by transcription factors and microRNAs. Science, 319, 1785-6. https://doi.org/10.1126/science.1151651
  3. Lee RC, Feinbaum RL, Ambros V (1993). The C. elegans heterochronic gene lin-4 encodes small RNAs with antisense complementarity to lin-14. Cell, 75, 843-54. https://doi.org/10.1016/0092-8674(93)90529-Y
  4. Liang M, Liu Y, Mladinov D, et al (2009). MicroRNA: a new frontier in kidney and blood pressure research. Am J Physiol Renal Physiol, 297, F553-8. https://doi.org/10.1152/ajprenal.00045.2009
  5. Lin RJ, Xiao DW, Liao LD, et al (2012). MiR-142-3p as a potential prognostic biomarker for esophageal squamous cell carcinoma. J Surg Oncol, 105, 175-82. https://doi.org/10.1002/jso.22066
  6. Matsushima K, Isomoto H, Kohno S, Nakao K (2010). MicroRNAs and esophageal squamous cell carcinoma. Digestion, 82, 138-44. https://doi.org/10.1159/000310918
  7. Parkin DM, Bray F, Ferlay J, Pisani P (2005). Global cancer statistics, 2002. CA Cancer J Clin, 55, 74-108. https://doi.org/10.3322/canjclin.55.2.74
  8. Schultz NA, Werner J, Willenbrock H, et al (2012). MicroRNA expression profiles associated with pancreatic adenocarcinoma and ampullary adenocarcinoma. Mod Pathol, 25, 1609-22. https://doi.org/10.1038/modpathol.2012.122
  9. Tan S, Li R, Ding K, Lobie PE, Zhu T (2011). miR-198 inhibits migration and invasion of hepatocellular carcinoma cells by targeting the HGF/c-MET pathway. FEBS Lett, 585, 2229-34. https://doi.org/10.1016/j.febslet.2011.05.042
  10. Varnholt H, Drebber U, Schulze F, et al (2008). MicroRNA Gene Expression Profile of Hepatitis C Virus-Associated Hepatocellular Carcinoma. Hepatology, 47, 1223-32.
  11. Wong TS, Liu XB, Wong BY, et al (2008). MaturemiR-184 as Potential Oncogenic microRNA of Squamous Cell Carcinoma of Tongue. Clin Cancer Res, 14, 2588-92. https://doi.org/10.1158/1078-0432.CCR-07-0666
  12. Xu X, Chen Z, Zhao X, et al (2012). MicroRNA-25 promotes cell migration and invasion in esophageal squamous cell carcinoma. Biochem Biophys Res Commun, 421, 640-5. https://doi.org/10.1016/j.bbrc.2012.03.048
  13. Yang M, Liu R, Sheng J, et al (2013). Differential expression profiles of microRNAs as potential biomarkers for the early diagnosis of esophageal squamous cell carcinoma. Oncol Rep, 29, 169-76. https://doi.org/10.3892/or.2012.2105
  14. Ye L, Li S, Ye D, et al (2013). Livin expression may be regulated by miR-198 in human prostate cancer cell lines. Eur J Cancer, 49, 734-40. https://doi.org/10.1016/j.ejca.2012.08.029
  15. Yu Z, Baserga R, Chen L, et al (2010). microRNA, cell cycle, and human breast cancer. Am J Pathol, 176, 1058-64. https://doi.org/10.2353/ajpath.2010.090664
  16. Zhao JJ, Yang J, Lin J, et al (2009). Identification of miRNAs associated with tumorigenesis of retinoblastoma by miRNA microarray analysis. Childs Nerv Syst, 25, 13-20. https://doi.org/10.1007/s00381-008-0701-x
  17. Zhou ZQ, Cao WH, Xie JJ, et al (2009). Expression and prognostic significance of THBS1, Cyr61 and CTGF in esophageal squamous cell carcinoma. BMC Cancer, 9, 291. https://doi.org/10.1186/1471-2407-9-291
  18. Zoon CK, Starker EQ, Wilson AM, et al (2009). Current molecular diagnostics of breast cancer and the potential incorporation of microRNA. Expert Rev Mol Diagn, 9, 455-67. https://doi.org/10.1586/erm.09.25

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