[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ Skip to main content

Advertisement

Log in

Changes in the Level of Circulating hsa-miR-297 and hsa-miR-19b-3p miRNA Are Associated with Generalization of Prostate Cancer

  • ONCOLOGY
  • Published:
Bulletin of Experimental Biology and Medicine Aims and scope

We performed diagnostic classification of plasma specimens from patients with non-metastatic and metastatic prostate cancer based on pairs of miRNA that have no individual diagnostic significance. Of 230 miRNA detected in plasma specimens, 3 pairs were diagnostically significant. The miRNA pair hsa-miR-19b-3p and hsa-miR-297 demonstrated highest sensitivity and specificity. Among common target genes of these miRNA, CFL2 gene associated with cell mobility was detected.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
£29.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (United Kingdom)

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Skurnikov MY, Makarova YA, Knyazev EN, Fomicheva KA, Nyushko KM, Saribekyan EK, Alekseev BY, Kaprin AD. Profile of microRNA in blood plasma of healthy humans. Bull. Exp. Biol. Med. 2015;160(11):632-634.

    Google Scholar 

  2. Chou CH, Chang NW, Shrestha S, Hsu SD, Lin YL, Lee WH, Yang CD, Hong HC, Wei TY, Tu SJ, Tsai TR, Ho SY, Jian TY, Wu HY, Chen PR, Lin NC, Huang HT, Yang TL, Pai CY, Tai CS, Chen WL, Huang CY, Liu CC, Weng SL, Liao KW, Hsu WL, Huang HD. miRTarBase 2016: updates to the experimentally validated miRNA-target interactions database. Nucleic Acids Res. 2016;44(D1):D239-D247.

    Article  PubMed  Google Scholar 

  3. Cortes C, Vapnik V. Support-Vector Networks. Machine Learning. 1995;20:273-297.

    Google Scholar 

  4. Ernst MD. Permutation methods: a basis for exact inference. Statist. Sci. 2004;4(19):676-685.

    Article  Google Scholar 

  5. Fang Z, Xu C, Li Y, Cai X, Ren S, Liu H, Wang Y, Wang F, Chen R, Qu M, Wang Y, Zhu Y, Zhang W, Shi X, Yao J, Gao X, Hou J, Xu C, Sun Y. A feed-forward regulatory loop between androgen receptor and PlncRNA-1 promotes prostate cancer progression. Cancer Lett. 2016;374(1):62-74.

    Article  CAS  PubMed  Google Scholar 

  6. Galatenko VV, Shkurnikov MY, Samatov TR, Galatenko AV, Mityakina IA, Kaprin AD, Schumacher U, Tonevitsky A.G. Highly informative marker sets consisting of genes with low individual degree of differential expression. Sci. Rep. 2015;5. ID 14967. doi: 10.1038/srep14967.

  7. Haldrup C, Kosaka N, Ochiya T, Borre M, Høyer S, Orntoft TF, Sorensen KD. Profiling of circulating microRNAs for prostate cancer biomarker discovery. Drug Deliv. Transl. Res. 2014;4(1):19-30.

    Article  CAS  PubMed  Google Scholar 

  8. Josson S, Gururajan M, Sung SY, Hu P, Shao C, Zhau HE, Liu C, Lichterman J, Duan P, Li Q, Rogatko A, Posadas EM, Haga CL, Chung LW. Stromal fibroblast-derived miR-409 promotes epithelial-to-mesenchymal transitionand prostate tumorigenesis. Oncogene. 2015;34(21):2690-2699.

    Article  CAS  PubMed  Google Scholar 

  9. Makarova JA, Maltseva DV, Galatenko VV, Abbasi A, Maximenko DG, Grigoriev AI, Tonevitsky AG, Northoff H. Exercise immunology meets MiRNAs. Exerc. Immunol. Rev. 2014;20:135-164.

    PubMed  Google Scholar 

  10. Maltseva DV, Galatenko VV, Samatov TR, Zhikrivetskaya SO, Khaustova NA, Nechaev IN, Shkurnikov MU, Lebedev AE, Mityakina IA, Kaprin AD, Schumacher U, Tonevitsky AG. miRNome of inflammatory breast cancer. BMC Res. Notes. 2014;7:871. doi: 10.1186/1756-0500-7-871.

    PubMed  Google Scholar 

  11. Östling P, Leivonen SK, Aakula A, Kohonen P, Mäkelä R, Hagman Z, Edsjö A, Kangaspeska S, Edgren H, Nicorici D, Bjartell A, Ceder Y, Perälä M, Kallioniemi O. Systematic analysis of microRNAs targeting the androgen receptor in prostate cancer cells. Cancer Res. 2011;71(5):1956-1967.

    Article  PubMed  Google Scholar 

  12. Shkurnikov MY, Knyazev EN, Fomicheva KA, Mikhailenko DS, Nyushko KM, Saribekyan EK, Samatov TR, Alekseev BY. Analysis of plasma microRNA associated with hemolysis. Bull. Exp. Biol. Med. 2016;160(6):748-750.

    Article  CAS  PubMed  Google Scholar 

  13. Turchinovich A, Tonevitsky AG, Cho WC, Burwinkel B. Check and mate to exosomal extracellular miRNA: new lesson from a new approach. Front. Mol. Biosci. 2015;2:11. doi: 10.3389/fmolb.2015.00011.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Yamamoto H, Fara AF, Dasgupta P, Kemper C. CD46: the “multitasker” of complement proteins. Int. J. Biochem. Cell Biol. 2013;45(12):2808-2820.

    Article  CAS  PubMed  Google Scholar 

  15. Zhou P, Ma L, Zhou J, Jiang M, Rao E, Zhao Y, Guo F. miR-17-92 plays an oncogenic role and conveys chemo-resistance to cisplatin inhuman prostate cancer cells. Int. J. Oncol. 2016;48(4):1737-1748.

    CAS  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to M. Yu. Shkurnikov.

Additional information

Translated from Byulleten’ Eksperimental’noi Biologii i Meditsiny, Vol. 162, No. 9, pp. 366-369, September, 2016

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Osip’yants, A.I., Knyazev, E.N., Galatenko, A.V. et al. Changes in the Level of Circulating hsa-miR-297 and hsa-miR-19b-3p miRNA Are Associated with Generalization of Prostate Cancer. Bull Exp Biol Med 162, 379–382 (2017). https://doi.org/10.1007/s10517-017-3620-6

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10517-017-3620-6

Key Words

Navigation