Skip to main content

Advertisement

Log in

Diagnostic performance of microRNAs expression in prostate cancer

  • Research Article
  • Published:
Tumor Biology

Abstract

MicroRNAs (miRNAs) have been proposed as ideal diagnostic indicators of prostate cancer (CaP). However, previous studies have reported conflicting results. Therefore, we conducted this meta-analysis to assess the potential diagnostic value of miRNAs for CaP. A systematic literature search was conducted in PubMed and other databases. Results from different studies were pooled using random effects models. The pooled sensitivity (SEN), specificity (SPE), positive and negative likelihood ratios (PLR and NLR, respectively), diagnostic odds ratio (DOR), and area under the curve (AUC) were calculated to evaluate the overall test performance. Between-study heterogeneity was tested using the chi-squared test and the I 2 test. Meta-regression and subgroup analyses were performed to explore the potential sources of heterogeneity. Fifty-eight studies from ten articles, including 669 patients with CaP and 404 controls composed of healthy individuals and patients with benign prostatic hyperplasia (BPH), were included in this meta-analysis. The pooled SEN and SPE were 0.74 (95 % confidence interval (CI) 0.70–0.78) and 0.73 (95 % CI 0.70–0.76), respectively. The pooled PLR was 2.7 (95 % CI 2.4–3.1); NLR was 0.35 (95 % CI 0.30–0.42); and DOR was 8 (95 % CI 6–10). The pooled AUC was 0.79 (95 % CI 0.76–0.83). Subgroup analyses indicated that multiple miRNAs yielded a better diagnostic accuracy. This systematic review suggests that miRNA analysis can significantly improve the overall accuracy of CaP diagnosis. Moreover, using multiple miRNA-based assays could achieve significantly higher accuracy in diagnosing CaP than single miRNA-based assays.

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
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

References

  1. Jemal A, Siegel R, Xu J, Ward E. Cancer statistics, 2010. CA Cancer J Clin. 2010;60:277–300.

    Article  PubMed  Google Scholar 

  2. Jemal A, Bray F, Center MM, Ferlay J, Ward E, Forman D. Global cancer statistics. CA Cancer J Clin. 2011;61:69–90.

    Article  PubMed  Google Scholar 

  3. Peyromaure EM, Mao K, Sun Y, Xia S, Jiang N, Zhang S, et al. A comparative study of prostate cancer detection and management in China and in France. Can J Urol. 2009;16:4472–7.

    PubMed  Google Scholar 

  4. Zeigler-Johnson CM, Rennert H, Mittal RD, Jalloh M, Sachdeva R, Malkowicz SB, et al. Evaluation of prostate cancer characteristics in four populations worldwide. Can J Urol. 2008;15:4056–64.

    PubMed Central  PubMed  Google Scholar 

  5. Abdollah F, Novara G, Briganti A, Scattoni V, Raber M, Roscigno M, et al. Trans-rectal versus trans-perineal saturation rebiopsy of the prostate: is there a difference in cancer detection rate? Urology. 2011;77:921–5.

    Article  PubMed  Google Scholar 

  6. Andriole GL, Bostwick D, Brawley OW, Gomella L, Marberger M, Montorsi F, et al. The effect of dutasteride on the usefulness of prostate specific antigen for the diagnosis of high grade and clinically relevant prostate cancer in men with a previous negative biopsy: results from the REDUCE study. J Urol. 2011;185:126–31.

    Article  CAS  PubMed  Google Scholar 

  7. Heidenreich A, Bellmunt J, Bolla M, Joniau S, Mason M, Matveev V, et al. EAU guidelines on prostate cancer. Part 1: screening, diagnosis, and treatment of clinically localised disease. Eur Urol. 2011;59:61–71.

    Article  PubMed  Google Scholar 

  8. Crawford ED, Rove KO, Trabulsi EJ, Qian J, Drewnowska KP, Kaminetsky JC, et al. Diagnostic performance of PCA3 to detect prostate cancer in men with increased prostate specific antigen: a prospective study of 1,962 cases. J Urol. 2012;188:1726–31.

    Article  PubMed  Google Scholar 

  9. Roehl KA, Antenor JA, Catalona WJ. Robustness of free prostate specific antigen measurements to reduce unnecessary biopsies in the 2.6 to 4.0 ng./ml. range. J Urol. 2002;168:922–5.

    Article  PubMed  Google Scholar 

  10. Ciatto S, Zappa M, Bonardi R, Gervasi G. Prostate cancer screening: the problem of overdiagnosis and lessons to be learned from breast cancer screening. Eur J Cancer. 2000;36:1347–50.

    Article  CAS  PubMed  Google Scholar 

  11. Dall'Era MA, Cooperberg MR, Chan JM, Davies BJ, Albertsen PC, Klotz LH, et al. Active surveillance for early-stage prostate cancer: review of the current literature. Cancer. 2008;112:1650–9.

    Article  PubMed  Google Scholar 

  12. Ferracin M, Veronese A, Negrini M. Micromarkers: miRNAs in cancer diagnosis and prognosis. Expert Rev Mol Diagn. 2010;10:297–308.

    Article  CAS  PubMed  Google Scholar 

  13. Calin GA, Dumitru CD, Shimizu M, Bichi R, Zupo S, Noch E, et al. Frequent deletions and down-regulation of micro- RNA genes miR15 and miR16 at 13q14 in chronic lymphocytic leukemia. Proc Natl Acad Sci U S A. 2002;99:15524–9.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  14. Inui M, Martello G, Piccolo S. MicroRNA control of signal transduction. Nat Rev Mol Cell Biol. 2010;11:252–63.

    Article  CAS  PubMed  Google Scholar 

  15. Mitchell PS, Parkin RK, Kroh EM, Fritz BR, Wyman SK, Pogosova-Agadjanyan EL, et al. Circulating microRNAs as stable blood-based markers for cancer detection. Proc Natl Acad Sci U S A. 2008;105:10513–8.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  16. Wach S, Nolte E, Szczyrba J, Stohr R, Hartmann A, Orntoft T, et al. MicroRNA profiles of prostate carcinoma detected by multiplatform microRNA screening. Int J Cancer. 2012;130:611–21.

    Article  CAS  PubMed  Google Scholar 

  17. Srivastava A, Goldberger H, Dimtchev A, Marian C, Soldin O, Li X, et al. Circulatory miR-628-5p is downregulated in prostate cancer patients. Tumour Biol. 2014;35:4867–73.

    Article  CAS  PubMed  Google Scholar 

  18. Watahiki A, Macfarlane RJ, Gleave ME, Crea F, Wang Y, Helgason CD, et al. Plasma miRNAs as biomarkers to identify patients with castration-resistant metastatic prostate cancer. Int J Mol Sci. 2013;14:7757–70.

    Article  PubMed Central  PubMed  Google Scholar 

  19. Srivastava A, Goldberger H, Dimtchev A, Ramalinga M, Chijioke J, Marian C, et al. MicroRNA profiling in prostate cancer–the diagnostic potential of urinary miR-205 and miR-214. PLoS ONE. 2013;8:e76994.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  20. Whiting PF, Rutjes AW, Westwood ME, Mallett S, Deeks JJ, Reitsma JB, et al. QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies. Ann Intern Med. 2011;155:529–36.

    Article  PubMed  Google Scholar 

  21. Mitchell AJ, Vaze A, Rao S. Clinical diagnosis of depression in primary care: a meta-analysis. Lancet. 2009;374:609–19.

    Article  PubMed  Google Scholar 

  22. Harbord RM, Deeks JJ, Egger M, Whiting P, Sterne JA. A unification of models for meta-analysis of diagnostic accuracy studies. Biostatistics. 2007;8:239–51.

    Article  PubMed  Google Scholar 

  23. Higgins JP, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. BMJ. 2003;327:557–60.

    Article  PubMed Central  PubMed  Google Scholar 

  24. Dinnes J, Deeks J, Kirby J, Roderick P. A methodological review of how heterogeneity has been examined in systematic reviews of diagnostic test accuracy. Health Technol Assess. 2005;9:1–113. iii.

    Article  CAS  Google Scholar 

  25. Deeks JJ, Macaskill P, Irwig L. The performance of tests of publication bias and other sample size effects in systematic reviews of diagnostic test accuracy was assessed. J Clin Epidemiol. 2005;58:882–93.

    Article  PubMed  Google Scholar 

  26. Mahn R, Heukamp LC, Rogenhofer S, von Ruecker A, Muller SC, Ellinger J. Circulating microRNAs (miRNA) in serum of patients with prostate cancer. Urology. 2011;77:1265 e9–16.

    Article  PubMed  Google Scholar 

  27. Yaman Agaoglu F, Kovancilar M, Dizdar Y, Darendeliler E, Holdenrieder S, Dalay N, et al. Investigation of miR-21, miR-141, and miR-221 in blood circulation of patients with prostate cancer. Tumour Biol. 2011;32:583–8.

    Article  CAS  PubMed  Google Scholar 

  28. Bryant RJ, Pawlowski T, Catto JW, Marsden G, Vessella RL, Rhees B, et al. Changes in circulating microRNA levels associated with prostate cancer. Br J Cancer. 2012;106:768–74.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  29. Chen ZH, Zhang GL, Li HR, Luo JD, Li ZX, Chen GM, et al. A panel of five circulating microRNAs as potential biomarkers for prostate cancer. Prostate. 2012;72:1443–52.

    Article  CAS  PubMed  Google Scholar 

  30. Mavridis K, Stravodimos K, Scorilas A. Downregulation and prognostic performance of microRNA 224 expression in prostate cancer. Clin Chem. 2013;59:261–9.

    Article  CAS  PubMed  Google Scholar 

  31. Haj-Ahmad TA, Abdalla MA, Haj-Ahmad Y. Potential urinary miRNA biomarker candidates for the accurate detection of prostate cancer among benign prostatic hyperplasia patients. J Cancer Educ. 2014;5:182–91.

    Article  CAS  Google Scholar 

  32. Pater LE, Hart KW, Blonigen BJ, Lindsell CJ, Barrett WL. Relationship between prostate-specific antigen, age, and body mass index in a prostate cancer screening population. Am J Clin Oncol. 2012;35:490–2.

    Article  PubMed Central  PubMed  Google Scholar 

  33. Carter HB, Albertsen PC, Barry MJ, Etzioni R, Freedland SJ, Greene KL, et al. Early detection of prostate cancer: AUA Guideline. J Urol. 2013;190:419–26.

    Article  PubMed Central  PubMed  Google Scholar 

  34. Calin GA, Croce CM. MicroRNA signatures in human cancers. Nat Rev Cancer. 2006;6:857–66.

    Article  CAS  PubMed  Google Scholar 

  35. Chen X, Ba Y, Ma L, Cai X, Yin Y, Wang K, et al. Characterization of microRNAs in serum: a novel class of biomarkers for diagnosis of cancer and other diseases. Cell Res. 2008;18:997–1006.

    Article  CAS  PubMed  Google Scholar 

  36. Deville WL, Buntinx F, Bouter LM, Montori VM, de Vet HC, van der Windt DA, et al. Conducting systematic reviews of diagnostic studies: didactic guidelines. BMC Med Res Methodol. 2002;2:9.

    Article  PubMed Central  PubMed  Google Scholar 

  37. Jones CM, Athanasiou T. Summary receiver operating characteristic curve analysis techniques in the evaluation of diagnostic tests. Ann Thorac Surg. 2005;79:16–20.

    Article  PubMed  Google Scholar 

  38. Arroyo JD, Chevillet JR, Kroh EM, Ruf IK, Pritchard CC, Gibson DF, et al. Argonaute2 complexes carry a population of circulating microRNAs independent of vesicles in human plasma. Proc Natl Acad Sci U S A. 2011;108:5003–8.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  39. Vickers KC, Palmisano BT, Shoucri BM, Shamburek RD, Remaley AT. MicroRNAs are transported in plasma and delivered to recipient cells by high-density lipoproteins. Nat Cell Biol. 2011;13:423–33.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

Download references

Conflict of interest

None

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Dequan Zhu.

Additional information

Qinfeng Yang and Yushan Zheng have contributed equally to this article and they are co-first authors.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yang, Q., Zheng, Y. & Zhu, D. Diagnostic performance of microRNAs expression in prostate cancer. Tumor Biol. 35, 10529–10538 (2014). https://doi.org/10.1007/s13277-014-2351-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13277-014-2351-9

Keywords

Navigation