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Original Research

Open Access

Expression of plasma miR-106a in epithelial ovarian cancer and its diagnostic and prognostic significance

  • Jing Zhao1,*,
  • Xue Dong2
  • Qing-cui Liu3
  • Qun Lu4

1Department of Reproduction, Beijing (China)

2Department of Obstetrics and Gynecology, Beijing (China)

3Department of Obstetrics,The Children & Women's Healthcare of LaiWu City, LaiWu, Shandong Province

4Department of reproduction, Peking University People's Hospital, Beijing (China)

DOI: 10.12892/ejgo4240.2018 Vol.39,Issue 5,October 2018 pp.769-772

Published: 10 October 2018

*Corresponding Author(s): Jing Zhao E-mail: zhing128@mail.com

Abstract

Aims: Circulating microRNAs (miRs) have been investigated as promising novel biomarkers for cancer diagnosis and prognosis. The aim of this study was to evaluate the expression level of plasma miR-106a in patients with epithelial ovarian cancer (EOC) and investigate its clinical significance. Materials and Methods: By using qRT-PCR, the authors compared plasma miR-106a expression in 95 EOC patients and 100 healthy volunteers. The association between plasma miR-106a level and clinicopathological factors was also analyzed. Furthermore, they explored whether plasma miR-106a could serve as a useful biomarker for EOC diagnosis and prognosis. Results: Plasma miR-106a was up-regulated in EOC patients compared with healthy controls (p < 0.01). High plasma miR-106a levels were significantly associated with advanced FIGO stage, high CA125 expression, poor cancer differentiation, and shorter overall survival. ROC curve analysis showed that plasma miR-106a was capable of distinguishing EOC from control subjects. Multivariate Cox regression analysis confirmed high plasma miR-106a expression as an independent unfavorable prognostic factor for EOC. Conclusions: Plasma miR-106a was upregulated in EOC patients and might serve as a novel non-invasive diagnostic and prognostic biomarker.

Keywords

miR-106a; biomarker; epithelial ovarian cancer; diagnosis; prognosis.

Cite and Share

Jing Zhao,Xue Dong,Qing-cui Liu,Qun Lu. Expression of plasma miR-106a in epithelial ovarian cancer and its diagnostic and prognostic significance. European Journal of Gynaecological Oncology. 2018. 39(5);769-772.

References

[1] Colombo N., Peiretti M., Parma G., Lapresa M., Mancari R., Carinelli S., et al.: “Newly diagnosed and relapsed epithelial ovarian carcinoma: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up”. Ann. Oncol., 2010, 21, v23.

[2] Hoyer T., Bekkers R., Gooszen H., Massuger L., Rovers M.; Grutters J.P.: “Cost-effectiveness of early-initiated treatment for advanced-stage epithelial ovarian cancer patients: a modeling study”. Int. J. Gynecol. Cancer, 2014, 24, 75.

[3] Meinhold-Heerlein I.; Hauptmann S.: “The heterogeneity of ovarian cancer”. Arch. Gynecol. Obstet., 2014, 289, 237.

[4] Zhao G., Cai C., Yang T., Qiu X., Liao B., Li W., et al.: “MicroRNA221 induces cell survival and cisplatin resistance through PI3K/Akt pathway in human osteosarcoma”. PLoS One, 2013, 8, e53906.

[5] Bartel D.P.: “MicroRNAs: genomics, biogenesis, mechanism, and function”. Cell, 2004, 116, 281.

[6] Takasaki S.: “Roles of microRNAs in cancers and development”. Methods Mol. Biol., 2015, 1218, 375.

[7] Kawaguchi T., Komatsu S., Ichikawa D., Tsujiura M., Takeshita H., Hirajima S., et al.: “Circulating MicroRNAs: A Next-Generation Clinical Biomarker for Digestive System Cancers”. Int. J. Mol. Sci., 2016, 17, pii: E1459.

[8] Hussein N. A., Kholy Z. A., Anwar M. M., Ahmad M. A.; Ahmad S. M.: “Plasma miR-22-3p, miR-642b-3p and miR-885-5p as diagnostic biomarkers for pancreatic cancer”. J. Cancer Res. Clin. Oncol., 2017, 143, 83.

[9] Wang Q., Zhang H., Shen X.; Ju S.: “Serum microRNA-135a-5p as an auxiliary diagnostic biomarker for colorectal cancer”. Ann. Clin. Biochem., 2017, 54, 76.

[10] Li J., Li M., Gao F.; Ge X.: “Serum microRNA-15a level acts as a potential diagnostic and prognostic biomarker for human esophageal squamous cell carcinoma”. Cancer Biomark., 2017, 18, 11.

[11] Yuan J., Chen L., Chen X., Sun W.; Zhou X.: “Identification of serum microRNA-21 as a biomarker for chemosensitivity and prognosis in human osteosarcoma”. J. Int. Med. Res., 2012, 40, 2090.

[12] He Q.Y., Wang G.C., Zhang H., Tong D.K., Ding C., Liu K., et al: “miR-106a-5p Suppresses the Proliferation, Migration, and Invasion of Osteosarcoma Cells by Targeting HMGA2”. DNA Cell Biol., 2016, 35, 506.

[13] Shin S.S., Park S.S., Hwang B., Kim W.T., Choi Y.H., Kim W.J., et al.: “MicroRNA-106a suppresses proliferation, migration, and invasion of bladder cancer cells by modulating MAPK signaling, cell cycle regulators, and Ets-1-mediated MMP-2 expression“. Oncol. Rep., 2016, 36, 2421.

[14] Zhi F., Zhou G., Shao N., Xia X., Shi Y., Wang Q., et al.: “miR-106a5p inhibits the proliferation and migration of astrocytoma cells and promotes apoptosis by targeting FASTK”. PLoS One, 2013, 8, e72390.

[15] Hao H., Liu L., Zhang D., Wang C., Xia G., Zhong F., et al.: “Diagnostic and prognostic value of miR-106a in colorectal cancer”. Oncotarget, 2017, 8, 5038.

[16] Hou X., Zhang M.; Qiao H.: “Diagnostic significance of miR-106a in gastric cancer”. Int. J. Clin. Exp. Pathol., 2015, 8, 13096.

[17] Xie X., Liu H. T., Mei J., Ding F. B., Xiao H. B., Hu F. Q., et al.: “miR-106a promotes growth and metastasis of non-small cell lung cancer by targeting PTEN”. Int. J. Clin. Exp. Pathol., 2015, 8, 3827.

[18] Yuan R., Zhi Q., Zhao H., Han Y., Gao L., Wang B., et al.: “Upregulated expression of miR-106a by DNA hypomethylation plays an oncogenic role in hepatocellular carcinoma”. Tumour Biol., 2015, 36, 3093.

[19] Chen L., Zhang F., Sheng X.G., Zhang S.Q., Chen Y.T., Liu B.W.: “MicroRNA-106a regulates phosphatase and tensin homologue expression and promotes the proliferation and invasion of ovarian cancer cells”. Oncol. Rep., 2016, 36, 2135.

[20] Liu Z., Gersbach E., Zhang X., Xu X., Dong R., Lee P., et al.: “miR106a represses the Rb tumor suppressor p130 to regulate cellular proliferation and differentiation in high-grade serous ovarian carcinoma”. Mol. Cancer Res., 2013, 11, 1314.

[21] Huh J. H., Kim T. H., Kim K., Song J. A., Jung Y. J., Jeong J. Y., et al.: “Dysregulation of miR-106a and miR-591 confers paclitaxel resistance to ovarian cancer”. Br. J. Cancer, 2013, 109, 452.

[22] Tusong H., Maolakuerban N., Guan J., Rexiati M., Wang W. G., Azhati B., et al.: “Functional analysis of serum microRNAs miR-21 and miR106a in renal cell carcinoma”. Cancer Biomark., 2017, 18, 79.

[23] Zhang L., Meng L., Fan Z., Liu B., Pei Y.; Zhao Z.: “Expression of plasma miR-106a in colorectal cancer and its clinical significance”. Nan Fang Yi Ke Da Xue Xue Bao, 2014, 34, 354.

[24] Cheng Q., Feng F., Zhu L., Zheng Y., Luo X., Liu C., et al.: “Circulating miR-106a is a Novel Prognostic and Lymph Node Metastasis Indicator for Cholangiocarcinoma”. Sci. Rep., 2015, 5, 16103.

[25] Azizmohammadi S., Azizmohammadi S., Safari A., Kosari N., Kaghazian M., Yahaghi E., et al.: “The role and expression of miR-100 and miR-203 profile as prognostic markers in epithelial ovarian cancer”. Am. J. Transl. Res., 2016, 8, 2403.

[26] Zhang X.; Zhang H.: “Diminished miR-613 expression as a novel prognostic biomarker for human ovarian cancer”. Eur. Rev. Med. Pharmacol. Sci., 2016, 20, 837.

[27] Meng X., Joosse S. A., Muller V., Trillsch F., Milde-Langosch K., Mahner S., et al.: “Diagnostic and prognostic potential of serum miR-7, miR-16, miR-25, miR-93, miR-182, miR-376a and miR-429 in ovarian cancer patients”. Br. J. Cancer, 2015, 113, 1358.

[28] Han R. L., Wang F. P., Zhang P. A., Zhou X. Y.; Li Y.: “miR-383 inhibits ovarian cancer cell proliferation, invasion and aerobic glycolysis by targeting LDHA”. Neoplasma, 2017, 64, 244.

[29] Fukagawa S., Miyata K., Yotsumoto F., Kiyoshima C., Nam S.O., Anan H., et al.: “miR-135a-3p as a promising biomarker and nucleic acid therapeutic agent for ovarian cancer”. Cancer Sci., 2017, 108, 886.


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