Skip to main content

Advertisement

Log in

Appraisal of diagnostic ability of UCA1 as a biomarker of carcinoma of the urinary bladder

  • Research Article
  • Published:
Tumor Biology

Abstract

Initial diagnosis of carcinoma of the urinary bladder remains to be a challenge. Urine cytology, as an adjunct to cystoscopy, is less sensitive for low-grade tumors. Urothelial cancer associated 1 (UCA1) is a novel non-coding RNA gene, which plays a pivotal role in bladder cancer progression. Our aim is to investigate the significance of urinary UCA1 for the non-invasive diagnosis of transitional cell carcinoma (TCC) of the urinary bladder. We examined UCA1 expression in a bladder cancer cell line (T24) and in urine of 28 healthy individuals, 46 patients of non-malignant disorders, and 117 cases (69 primary and 48 recurrent cases) of histologically proven TCC prior to transurethral resection by using real-time PCR and compared it with voided urinary cytology. UCA1 expression was found in T24 cell line and also found to be significantly higher in the cancer group as compared to the controls (p < 0.001). UCA1 messenger RNA (mRNA) expression showed a significant (p < 0.05) association with stage and grade (p < 0.05). UCA1 showed a sensitivity of 79.49 % and a specificity of 79.73 % (p < 0.001), whereas urine cytology had a sensitivity of 66.67 % and a specificity of 95.95 % for TCC cases. Higher expression of UCA1 was associated with high grade (G2–G3, sensitivity = 84.09 %) (p < 0.001). UCA1 mRNA expression did not significantly correlate with the patient’s age, sex, and smoking habit (p > 0.05). UCA1 can be used as a non-invasive diagnostic biomarker for TCC bladder as an adjunct to cytology in the early diagnosis of primary urinary bladder cancer.

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.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  1. Agarwal PK, Black PC, Kamat AM. Considerations on the use of diagnostic markers in management of patients with bladder cancer. World J Urol. 2008;26:39–4.

    Article  PubMed  Google Scholar 

  2. Grossfeld GD, Carroll PR. Evaluation of asymptomatic microscopic haematuria. Urol Clin N Am. 1998;25:661–6.

    Article  CAS  Google Scholar 

  3. Boman H, Hedelin H, Jacobsson S, et al. Newly diagnosed bladder cancer: the relationship of initial symptoms, degree of microhematuria and tumor marker status. J Urol. 2002;168:1955–9.

    Article  CAS  PubMed  Google Scholar 

  4. Goebell PJ, Groshen SL, Schmitz-Drager BJ. Guidelines for development of diagnostic markers in bladder cancer. World J Urol. 2008;26:5–11.

    Article  PubMed  Google Scholar 

  5. Justin P, Philippe ES. Current and emerging bladder cancer urinary biomarkers. Sci World J. 2011;11:1103–12.

    Article  Google Scholar 

  6. Fan Wang X, Xiao L, Xiea J, et al. UCA1, a non-protein-coding RNA up-regulated in bladder carcinoma and embryo, influencing cell growth and promoting invasion. FEBS Lett. 2008;582:1919–27.

    Article  PubMed  Google Scholar 

  7. Jern P, Sperber GO, Ahlsen G, et al. Sequence variability, gene structure, and expression of full-length human endogenous retrovirus H. J Virol. 2005;79:6325–7.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  8. Chen Yang X, Li Y, Wang LZ, et al. Long non-coding RNA UCA1 regulated cell cycle distribution via CREB through PI3-K dependent pathway in bladder carcinoma cells. Gene. 2012;496:8–16.

    Article  PubMed  Google Scholar 

  9. Wang XS, Zhang Z, Wang HC, et al. Rapid identification of UCA1 as a very sensitive and specific unique marker for human bladder carcinoma. Clin Cancer Res. 2006;12(16):4851–8.

    Article  CAS  PubMed  Google Scholar 

  10. Zhang Z, Hao H, Zhang CJ, et al. Evaluation of novel gene UCA1 as a tumour biomarker for the detection of bladder cancer. Zhonghua Yi Xue Za Zhi. 2012;92(6):384–7.

    CAS  PubMed  Google Scholar 

  11. Sobin LH, Wittekind C. TNM classification of malignant tumours. 6th ed. New York: Wiley; 2002.

    Google Scholar 

  12. Mostofi FK, Sobin LH, Torloni H et al. Histological typing of urinary bladder tumours. World Health Organization Geneva. Volume 10, 1973.

  13. Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative PCR and the 2(-delta delta C(T)) method. Methods. 2001;25:402–8.

    Article  CAS  PubMed  Google Scholar 

  14. Bewick V, Cheek L, Ball J. Statistics review 13: receiver operating characteristic curves. Crit Care. 2004;8:508–12.

    Article  PubMed Central  PubMed  Google Scholar 

  15. Srivastava AK, Singh PK, Singh P, et al. Clinical experience with UCA1 as a biomarker for non-muscular invasive bladder cancer. Eur Urol Suppl. 2011;10(2):74.

    Article  Google Scholar 

Download references

Acknowledgments

All authors are also thankful to Dr. Seema Nayak and Dr. S. P. Mishra for their invaluable contribution. We thank all the subjects for their participation in the study. The first author (Anupam Kumar Srivastava) is thankful to the Indian Council of Medial Research, New Delhi, India, for awarding Senior Research Fellowship (SRF IRIS ID: 2010-03160) under the guidance of the corresponding author.

Conflicts of interest

None

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to M. L. B. Bhatt.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Srivastava, A.K., Singh, P.K., Rath, S.K. et al. Appraisal of diagnostic ability of UCA1 as a biomarker of carcinoma of the urinary bladder. Tumor Biol. 35, 11435–11442 (2014). https://doi.org/10.1007/s13277-014-2474-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13277-014-2474-z

Keywords

Navigation