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
. 2019 Jun 24;55(6):302.
doi: 10.3390/medicina55060302.

Prognostic Impact of Canonical TGF-β Signaling in Urothelial Bladder Cancer

Affiliations

Prognostic Impact of Canonical TGF-β Signaling in Urothelial Bladder Cancer

Slavica Stojnev et al. Medicina (Kaunas). .

Abstract

Background and objectives: Dysregulation of TGF-β signaling plays multiple roles in cancer development and progression. In the canonical TGF-β pathway, TGF-β regulates the expression of hundreds of target genes via interaction with Smads, signal transducers and transcriptional modulators. We evaluated the association of TGF-β1, Smad2, and Smad4, the key components of canonical TGFβ pathway, with clinicopathologic characteristics of urothelial bladder cancer, and assessed their prognostic value in prediction of patients' outcome. Materials and Methods: Immunohistochemical analysis of TGF-β1, Smad2, and Smad4 expression was performed on 404 urothelial bladder cancer samples, incorporated in tissue microarrays. Expression status was correlated with clinicopathological and follow-up data. The median follow-up was 61 months. Results: High expression of TGF-β1, Smad2, and Smad4 was detected in 68.1%, 31.7% and 45.2% of the tumors, respectively. TGF-β1 overexpression was significantly associated with high tumor grade, and advanced pathologic stage (p < 0.001, respectively). Conversely, high Smad2 and Smad4 expression was linked to low tumor grade (p = 0,003, p = 0.048, respectively), and low tumor stage (p < 0.001, p = 0.003, respectively). Smad2 showed an inverse correlation with variant morphology and divergent differentiation of urothelial tumors (p = 0.014). High TGF-β1 correlated directly, while Smad2 and Smad4 correlated inversely to cancer-specific death (p = 0.043, p = 0.003, and p = 0.022, respectively). There was a strong relationship between Smad2 and Smad4 expression (p < 0.001). Survival analyses showed that high Smad2 and Smad4 expression was associated with longer overall survival (p = 0.003, p = 0.034, respectively), while in multivariate regression analysis TGF-β1 manifested as an independent predictor of poor outcome. Conclusions: Unraveling the complex roles and significance of TGF-β signaling in urothelial bladder cancer might have important implications for therapy of this disease. Assessment of TGF-β pathway status in patients with urothelial bladder cancer may provide useful prognostic information, and identify patients that could have the most benefit from therapy targeting TGF-β signaling cascade.

Keywords: Smad2; Smad4; TGF-β; immunohistochemistry; prognosis; urothelial bladder cancer.

PubMed Disclaimer

Conflict of interest statement

The authors declare no conflicts of interest.

Figures

Figure 1
Figure 1
Representative photomicrographs of haematoxylin–eosin stain and immunohistochemical staining to TGF-β1, Smad2, and Smad4 in urothelial bladder cancer; first row—papillary non-invasive low grade tumor (pTa); second row—superficially invasive low grade tumor (pT1); third row—superficially invasive high-grade tumor (pT1); fourth row—muscle-invasive urothelial bladder cancer (pT2). Original magnification ×400.
Figure 2
Figure 2
Kaplan–Meier survival curves showing overall survival in 404 patients with urothelial bladder cancer in relation to expression of TGF-β1, Smad2 and Smad4 in cancer cells. Log Rank (Mantel–Cox) test.

References

    1. Antoni S., Ferlay J., Soerjomataram I., Znaor A., Jemal A., Bray F. Bladder Cancer Incidence and Mortality: A Global Overview and Recent Trends. Eur. Urol. 2017;71:96–108. doi: 10.1016/j.eururo.2016.06.010. - DOI - PubMed
    1. Wong M.C.S., Fung F.D.H., Leung C., Cheung W.W.L., Goggins W.B., Ng C.F. The global epidemiology of bladder cancer: A joinpoint regression analysis of its incidence and mortality trends and projection. Sci. Rep. 2018;8:1129. doi: 10.1038/s41598-018-19199-z. - DOI - PMC - PubMed
    1. Cancer Genome Atlas Research Network Comprehensive molecular characterization of urothelial bladder carcinoma. Nature. 2014;507:315–322. doi: 10.1038/nature12965. - DOI - PMC - PubMed
    1. Kim J., Akbani R., Creighton C.J., Lerner S.P., Weinstein J.N., Getz G., Kwiatkowski D.J. Invasive Bladder Cancer: Genomic Insights and Therapeutic Promise. Clin. Cancer Res. 2015;21:4514–4524. doi: 10.1158/1078-0432.CCR-14-1215. - DOI - PMC - PubMed
    1. Massagué J. TGFβ in Cancer. Cell. 2008;134:215–230. doi: 10.1016/j.cell.2008.07.001. - DOI - PMC - PubMed