Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Comparative Study
. 2010 Jul 7;29(1):90.
doi: 10.1186/1756-9966-29-90.

Expression of miRNA-106b in conventional renal cell carcinoma is a potential marker for prediction of early metastasis after nephrectomy

Ondrej Slaby  1 , Jana Jancovicova, Radek Lakomy, Marek Svoboda, Alexandr Poprach, Pavel Fabian, Leos Kren, Jaroslav Michalek, Rostislav Vyzula
Affiliations
Comparative Study

Expression of miRNA-106b in conventional renal cell carcinoma is a potential marker for prediction of early metastasis after nephrectomy

Ondrej Slaby et al. J Exp Clin Cancer Res. .

Erratum in

  • J Exp Clin Cancer Res. 2010;29:105

Abstract

Background: MicroRNAs are endogenously expressed regulatory noncoding RNAs. Previous studies have shown altered expression levels of several microRNAs in renal cell carcinoma.

Methods: We examined the expression levels of selected microRNAs in 38 samples of conventional renal cell carcinoma (RCC) and 10 samples of non-tumoral renal parenchyma using TaqMan real-time PCR method.

Results: The expression levels of miRNA-155 (p < 0.0001), miRNA-210 (p < 0.0001), miRNA-106a (p < 0.0001) and miRNA-106b (p < 0.0001) were significantly over-expressed in tumor tissue, whereas the expression of miRNA-141 (p < 0.0001) and miRNA-200c (p < 0.0001) were significantly decreased in RCC samples. There were no significant differences between expression levels of miRNA-182 and miRNA-200b in tumor samples and renal parenchyma. Our data suggest that expression levels of miRNA-106b are significantly lower in tumors of patients who developed metastasis (p = 0.030) and miR-106b is a potential predictive marker of early metastasis after nephrectomy in RCC patients (long-rank p = 0.032).

Conclusions: We have confirmed previous observations obtained by miRNA microarray analysis using standardized real-time PCR method. For the first time, we have identified a prognostic significance of miRNA-106b, which, after validation on a larger group of patients, maybe useful as a promising biomarker in patients with RCC.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Comparison of miR-155, miR-210, miR-106a and miR-106b expression levels in renal parenchyma (RP) and renal cell carcinomas (RCC).
Figure 2
Figure 2
Comparison of miR-200c and miR-141 (tumor suppressive miR-200 family) expression levels in RP and RCC.
Figure 3
Figure 3
Comparison of miR-106b expression levels in RCC stratified according to the development of metastatic disease after nephrectomy.
Figure 4
Figure 4
Relapse-free survival of patients with RCC based on the miR-106b expression levels (cutoff = median of miR-106b expression).
See this image and copyright information in PMC

References

    1. Richie JP, Jonasch E, Kantoff PW. In: Holland-Frei Cancer Medicine. 7. Kufe WD, Bast RC, Hait WN, et al, editor. Hamilton (Canada), BC Decker; 2006. Renal Cell Carcinoma; pp. 1401–1410.
    1. Bukowski RM. Prognostic factors for survival in metastatic renal cell carcinoma: update 2008. Cancer. 2009;115:2273–2281. doi: 10.1002/cncr.24226. - DOI - PubMed
    1. Yan BC, Mackinnon AC, Al-Ahmadie HA. Recent developments in the pathology of renal tumors: morphology and molecular characteristics of select entities. Arch Pathol Lab Med. 2009;133:102610–32. - PubMed
    1. Inui M, Martello G, Piccolo S. MicroRNA control of signal transduction. Nat Rev Mol Cell Biol. 2010;11(4):252–263. - PubMed
    1. Galasso M, Elena Sana M, Volinia S. Non-coding RNAs: a key to future personalized molecular therapy? Genome Med. 2010;18(2(2)):12. doi: 10.1186/gm133. - DOI - PMC - PubMed

Publication types

MeSH terms