Skip to main content

Advertisement

Log in

On Statistical Relationship between ADRA2A Expression and the Risk of Breast Cancer Relapse

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

The search for novel parameters to predict the risk of relapse in breast cancer was conducted. Significant correlation between the risk of relapse and α-2A adrenergic receptor (ADRA2A) expression was revealed using public microarray datasets. This relationship was confirmed by validation on independent microarray dataset. It was found that when assessing the risk of BC relapse, the accuracy of prediction based solely on the expression of ADRA2A gene is close to that made using OncotypeDX and MammaPrint test systems. In this case, addition of only one or two supplemental prognostic markers (for instance, expression of SQLE gene or SQLE and DSCC1genes) to ADRA2A ensures the accuracy of prediction not inferior to reliability of these test systems.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. A. Bruzzone, C. P. Pinero, P. Rojas, et al., Curr. Cancer Drug. Targets, 11, No. 6, 763-774 (2011).

    Article  CAS  PubMed  Google Scholar 

  2. M. Buyse, S. Loi, L. van’t Veer, et al., J. Natl. Cancer. Inst., 98, No. 17, 1183-1192 (2006).

    Article  CAS  PubMed  Google Scholar 

  3. C. C. Chang and C. J. Lin, ACM Trans. Intell. Syst. and Techn, 2, No. 3, doi: 10.1145/1961189.1961199 (2011).

  4. Evaluation of Genomic Applications in Practice and Prevention (EGAPP) Working Group. Recommendations from the EGAPP Working Group: can tumor gene expression profiling improve outcomes in patients with breast cancer? Genet. Med., 11, No. 1, 66-73 (2009).

  5. W. Da Huang, B. T. Sherman, and R. A. Lempicki, Nat. Protoc., 4, No. 1, 44-57 (2009).

    Article  CAS  Google Scholar 

  6. R. A. Irizarry, D. Hobbs, F. Collin, et al., Biostatistics, 4, No. 2, 249-264 (2003).

    Article  PubMed  Google Scholar 

  7. D. V. Maltseva, N. A. Khaustova, N. N. Fedotov, et al., J. Clin. Bioinforma, 3, doi: 10.1186/2043-9113-3-13 (2013).

  8. O. Metzger-Filho, Z. Sun, G. Viale, et al., J. Clin. Oncol., 31, No. 25, 3083-3090 (2013).

    Article  CAS  PubMed  Google Scholar 

  9. J. S. Parker, M. Mullins, M. C. Cheang, et al., J. Clin. Oncol., 27, No. 8, 1160-1167 (2009).

    Article  PubMed Central  PubMed  Google Scholar 

  10. C. M. Perou, T. Sorlie, M. B. Eisen, et al., Nature, 406, No. 6797, 747-752 (2000).

    Article  CAS  PubMed  Google Scholar 

  11. G. K. Smyth, Bioinformatics and Computational Biology Solutions Using R and Bioconductor, Eds. R.Gentlemen, et al., New York, (2005), pp. 397-420.

  12. G. K. Smyth, Stat. Appl. Genet. Mol. Biol., 3, No. 1, doi: 10.2202/1544-6115.1027 (2004).

  13. A. G. Tonevitsky, D. V. Maltseva, A. Abbasi, et al., BMC Physiology, 13, doi: 10.1186/1472-6793-13-9 (2013)

  14. S. M. Vazquez, A. G. Mladovan, C. Perez, et al., Cancer Chemother. Pharmacol., 58, No. 1, 50-61(2006).

    Article  CAS  PubMed  Google Scholar 

  15. B. Weigelt, A. Mackay, R. A’hern, et al., Lancet Oncol., 11, No. 4, 339-349 (2010).

    Article  CAS  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to V. V. Galatenko.

Additional information

Translated from Byulleten’ Eksperimental’noi Biologii i Meditsiny, Vol. 157, No. 4, pp. 450-453, April, 2014

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Shkurnikov, M.Y., Galatenko, V.V., Lebedev, A.E. et al. On Statistical Relationship between ADRA2A Expression and the Risk of Breast Cancer Relapse. Bull Exp Biol Med 157, 454–458 (2014). https://doi.org/10.1007/s10517-014-2589-7

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10517-014-2589-7

Keywords

Navigation