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MicroRNA-650 expression in glioma is associated with prognosis of patients

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Abstract

MicroRNAs are known as non-coding RNAs that regulate the expression of target mRNA. Accumulating evidence has indicated that microRNA expression in human malignancies can be utilized as a prognostic marker for patients. However, the prognostic value of miR-650 in human glioma has not been investigated yet. In the present investigation, we have recruited 168 cases glioma specimens and 21 normal control brain specimens. Quantitative real-time PCR was carried out to investigate the expression of miR-650. Kaplan–Meier analysis and Cox’s proportional hazards model was used to evaluate the association of miR-650 with prognosis of glioma patients. Results showed that miR-650 expression was increased in glioma compared with normal control specimens (P < 0.001). It was also found that miR-650 expression was related to World Health Organization grade and Karnofsky performance score (KPS) for high expression was more frequently detected in glioma of high grade or low KPS score (P < 0.001). The prognosis of glioma with high miR-650 expression was significantly worse compared with that of glioma with low miR-650 expression. These results proved that miR-650 expression was a significant prognostic indicator in glioma, which may suggest new management of human glioma.

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References

  1. Kleihues P, Burger PC, Scheithauer BW (1993) The new WHO classification of brain tumours. Brain Pathol 3(3):255–268

    Article  PubMed  CAS  Google Scholar 

  2. Siegel R, Naishadham D, Jemal A (2013) Cancer statistics, 2013. CA Cancer J Clin 63(1):11–30. doi:10.3322/caac.21166

    Article  PubMed  Google Scholar 

  3. Kleihues P, Louis DN, Scheithauer BW, Rorke LB, Reifenberger G, Burger PC, Cavenee WK (2002) The WHO classification of tumors of the nervous system. J Neuropathol Exp Neurol 61(3):215–225; discussion 226–219

    Google Scholar 

  4. Tsao-Wei DD, Hu J, Groshen SG, Chamberlain MC (2012) Conditional survival of high-grade glioma in Los Angeles County during the year 1990–2000. J Neuro Oncol 110(1):145–152. doi:10.1007/s11060-012-0949-6

    Article  Google Scholar 

  5. Shirai K, Chakravarti A (2011) Towards personalized therapy for patients with glioblastoma. Expert Rev Anticancer Ther 11(12):1935–1944. doi:10.1586/era.11.103

    Article  PubMed  CAS  Google Scholar 

  6. Franceschi E, Stupp R, van den Bent MJ, van Herpen C, Laigle Donadey F, Gorlia T, Hegi M, Lhermitte B, Strauss LC, Allgeier A, Lacombe D, Brandes AA (2012) EORTC 26083 phase I/II trial of dasatinib in combination with CCNU in patients with recurrent glioblastoma. Neuro Oncol 14(12):1503–1510. doi:10.1093/neuonc/nos256

    Article  PubMed  CAS  Google Scholar 

  7. Van Meir EG, Hadjipanayis CG, Norden AD, Shu HK, Wen PY, Olson JJ (2010) Exciting new advances in neuro-oncology: the avenue to a cure for malignant glioma. CA Cancer J Clin 60(3):166–193. doi:10.3322/caac.20069

    Article  PubMed  Google Scholar 

  8. Esteller M (2011) Non-coding RNAs in human disease. Nat Rev Genet 12(12):861–874. doi:10.1038/nrg3074

    Article  PubMed  CAS  Google Scholar 

  9. Wienholds E, Plasterk RH (2005) MicroRNA function in animal development. FEBS Lett 579(26):5911–5922. doi:10.1016/j.febslet.2005.07.070

    Article  PubMed  CAS  Google Scholar 

  10. Bartel DP (2004) MicroRNAs: genomics, biogenesis, mechanism, and function. Cell 116(2):281–297

    Article  PubMed  CAS  Google Scholar 

  11. Dela Cruz F, Matushansky I (2011) MicroRNAs in chromosomal translocation-associated solid tumors: learning from sarcomas. Discov Med 12(65):307–317

    PubMed  Google Scholar 

  12. Lovat F, Valeri N, Croce CM (2011) MicroRNAs in the pathogenesis of cancer. Semin Oncol 38(6):724–733. doi:10.1053/j.seminoncol.2011.08.006

    Article  PubMed  CAS  Google Scholar 

  13. Harquail J, Benzina S, Robichaud GA (2012) MicroRNAs and breast cancer malignancy: an overview of miRNA-regulated cancer processes leading to metastasis. Cancer Biomark 11(6):269–280. doi:10.3233/CBM-120291

    PubMed  CAS  Google Scholar 

  14. Rossi S, Di Narzo AF, Mestdagh P, Jacobs B, Bosman FT, Gustavsson B, Majoie B, Roth A, Vandesompele J, Rigoutsos I, Delorenzi M, Tejpar S (2012) microRNAs in colon cancer: a roadmap for discovery. FEBS Lett 586(19):3000–3007

    Article  PubMed  CAS  Google Scholar 

  15. Solomides CC, Evans BJ, Navenot JM, Vadigepalli R, Peiper SC, Wang ZX (2012) MicroRNA profiling in lung cancer reveals new molecular markers for diagnosis. Acta Cytol 56(6):645–654. doi:10.1159/000343473

    Article  PubMed  CAS  Google Scholar 

  16. Ali S, Saleh H, Sethi S, Sarkar FH, Philip PA (2012) MicroRNA profiling of diagnostic needle aspirates from patients with pancreatic cancer. Br J Cancer 107(8):1354–1360. doi:10.1038/bjc.2012.383

    Article  PubMed  CAS  Google Scholar 

  17. Moussay E, Wang K, Cho JH, van Moer K, Pierson S, Paggetti J, Nazarov PV, Palissot V, Hood LE, Berchem G, Galas DJ (2011) MicroRNA as biomarkers and regulators in B-cell chronic lymphocytic leukemia. Proc Natl Acad Sci USA 108(16):6573–6578. doi:10.1073/pnas.1019557108

    Article  PubMed  CAS  Google Scholar 

  18. Guerau-de-Arellano M, Smith KM, Godlewski J, Liu Y, Winger R, Lawler SE, Whitacre CC, Racke MK, Lovett-Racke AE (2011) Micro-RNA dysregulation in multiple sclerosis favours pro-inflammatory T-cell-mediated autoimmunity. Brain J Neurol 134(Pt 12):3578–3589. doi:10.1093/brain/awr262

    Article  Google Scholar 

  19. Mouradian MM (2012) MicroRNAs in Parkinson’s disease. Neurobiol Dis 46(2):279–284. doi:10.1016/j.nbd.2011.12.046

    Article  PubMed  CAS  Google Scholar 

  20. Delay C, Mandemakers W, Hebert SS (2012) MicroRNAs in Alzheimer’s disease. Neurobiol Dis 46(2):285–290. doi:10.1016/j.nbd.2012.01.003

    Article  PubMed  CAS  Google Scholar 

  21. Tan X, Wang S, Yang B, Zhu L, Yin B, Chao T, Zhao J, Yuan J, Qiang B, Peng X (2012) The CREB-miR-9 negative feedback minicircuitry coordinates the migration and proliferation of glioma cells. PLoS One 7(11):e49570. doi:10.1371/journal.pone.0049570

    Article  PubMed  CAS  Google Scholar 

  22. Hermansen SK, Dahlrot RH, Nielsen BS, Hansen S, Kristensen BW (2013) MiR-21 expression in the tumor cell compartment holds unfavorable prognostic value in gliomas. J Neuro Oncol 111(1):71–81. doi:10.1007/s11060-012-0992-3

    Article  CAS  Google Scholar 

  23. Chang C, Shi H, Wang C, Wang J, Geng N, Jiang X, Wang X (2012) Correlation of microRNA-375 downregulation with unfavorable clinical outcome of patients with glioma. Neurosci Lett 531(2):204–208. doi:10.1016/j.neulet.2012.10.021

    Article  PubMed  CAS  Google Scholar 

  24. Zhang X, Zhu W, Zhang J, Huo S, Zhou L, Gu Z, Zhang M (2010) MicroRNA-650 targets ING4 to promote gastric cancer tumorigenicity. Biochem Biophys Res Commun 395(2):275–280. doi:10.1016/j.bbrc.2010.04.005

    Article  PubMed  CAS  Google Scholar 

  25. Feng L, Xie Y, Zhang H, Wu Y (2011) Down-regulation of NDRG2 gene expression in human colorectal cancer involves promoter methylation and microRNA-650. Biochem Biophys Res Commun 406(4):534–538. doi:10.1016/j.bbrc.2011.02.081

    Article  PubMed  CAS  Google Scholar 

  26. Zeng ZL, Li FJ, Gao F, Sun DS, Yao L (2013) Upregulation of miR-650 is correlated with down-regulation of ING4 and progression of hepatocellular carcinoma. J Surg Oncol 107(2):105–110. doi:10.1002/jso.23210

    Article  PubMed  CAS  Google Scholar 

  27. Mraz M, Dolezalova D, Plevova K, Stano Kozubik K, Mayerova V, Cerna K, Musilova K, Tichy B, Pavlova S, Borsky M, Verner J, Doubek M, Brychtova Y, Trbusek M, Hampl A, Mayer J, Pospisilova S (2012) MicroRNA-650 expression is influenced by immunoglobulin gene rearrangement and affects the biology of chronic lymphocytic leukemia. Blood 119(9):2110–2113. doi:10.1182/blood-2011-11-394874

    Article  PubMed  CAS  Google Scholar 

  28. Li W, Chu D, Chu X, Meng F, Wei D, Li H, Sun B (2011) Decreased expression of NDRG2 is related to poor overall survival in patients with glioma. J Clin Neurosci 18(11):1534–1537. doi:10.1016/j.jocn.2010.12.032

    Article  PubMed  CAS  Google Scholar 

  29. Sun B, Chu D, Li W, Chu X, Li Y, Wei D, Li H (2009) Decreased expression of NDRG1 in glioma is related to tumor progression and survival of patients. J Neuro Oncol 94(2):213–219. doi:10.1007/s11060-009-9859-7

    Article  CAS  Google Scholar 

  30. Wang F, Sun GP, Zou YF, Hao JQ, Zhong F, Ren WJ (2012) MicroRNAs as promising biomarkers for gastric cancer. Cancer Biomark 11(6):259–267. doi:10.3233/CBM-2012-00284

    PubMed  CAS  Google Scholar 

  31. Tang W, Zhu J, Su S, Wu W, Liu Q, Su F, Yu F (2012) MiR-27 as a prognostic marker for breast cancer progression and patient survival. PLoS One 7(12):e51702. doi:10.1371/journal.pone.0051702

    Article  PubMed  CAS  Google Scholar 

  32. Melotte V, Qu X, Ongenaert M, van Criekinge W, de Bruine AP, Baldwin HS, van Engeland M (2010) The N-myc downstream regulated gene (NDRG) family: diverse functions, multiple applications. FASEB J 24(11):4153–4166. doi:10.1096/fj.09-151464

    Article  PubMed  CAS  Google Scholar 

Download references

Acknowledgments

This work was supported by the National Natural Science Foundation of China (No. 81172386, http://www.nsfc.gov.cn). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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None.

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Authors and Affiliations

  1. Medical Department of Neurology, Affiliated Hospital of Beihua University, Jilin, 132011, People’s Republic of China

    Boqian Sun & Wei Li

  2. Department of Cardiology, 222nd Hospital of PLA, Jilin, 132011, People’s Republic of China

    Bo Pu

  3. The State Key Laboratory of Cancer Biology, The Fourth Military Medical University, Xi’an, 710032, People’s Republic of China

    Dake Chu

  4. Research Center for Life Sciences, Beihua University, Jilin, 132011, People’s Republic of China

    Xiaodan Chu

  5. Department of Neurosurgery, Affiliated Hospital of Beihua University, Jilin, 132011, People’s Republic of China

    Dun Wei

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  1. Boqian Sun
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  2. Bo Pu
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  3. Dake Chu
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  4. Xiaodan Chu
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  5. Wei Li
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  6. Dun Wei
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Corresponding author

Correspondence to Boqian Sun.

Additional information

Boqian Sun, Bo Pu, Dake Chu and Xiaodan Chu have contributed equally to this study.

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Sun, B., Pu, B., Chu, D. et al. MicroRNA-650 expression in glioma is associated with prognosis of patients. J Neurooncol 115, 375–380 (2013). https://doi.org/10.1007/s11060-013-1243-y

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  • DOI: https://doi.org/10.1007/s11060-013-1243-y

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