Caveolin-1 as a potential high-risk prostate cancer biomarker

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Authors

GUMULEC Jaromír SOCHOR Jiří HLAVNA Marián SZTALMACHOVÁ Markéta KŘÍŽKOVÁ Soňa BABULA Petr HRABEC Roman ROVNÝ Arne ADAM Vojtěch ECKSCHLAGER Tomáš KIZEK René MASAŘÍK Michal

Year of publication 2012
Type Article in Periodical
Magazine / Source Oncology Reports
MU Faculty or unit

Faculty of Medicine

Citation
Doi http://dx.doi.org/10.3892/or.2011.1587
Field Oncology and hematology
Keywords prostate cancer; tumour marker; prognostic marker; immunodetection; electrochemistry; polymerase chain reaction; molecular biology techniques
Description Current diagnostic techniques of prostate cancer cannot efficiently distinguish the latent and low-risk forms from the high-risk significant forms of prostate cancer. Caveolin-1 (Cav-1), except other functions, plays an important role in cell transformation and the process of tumorigenesis. Furthermore, Cav-1 is involved in metastatic processes. It has also been shown that Cav-1 expression is induced under stress conditions, such as oxidative stress. The present study focused on the determination of prognostic markers of aggressive (high-grade) forms of prostate cancer. We determined serum Cav-1 and serum markers of antioxidant activity-glutathione (GSH), 2,2-diphenyl-1-picrylhydrazyl (DPPH), Trolox equivalent antioxidant capacity (TEAC), ferric-reducing antioxidant power (FRAP), N,N-dimethyl-1,4-diaminobenzene (DMPD), free radicals method (FRK) and blue chromium peroxide (Cro) in 97 serum samples (82 prostate cancer patients and 15 controls). We found insignificant differences in Cav-1 between the sera of patients and controls (5.69 in the cancer group vs. 5.42 ng/ml in the control group). However, we found a significant (p<0.004) 2.8-fold elevation of Cav-1 in high tumour stages (TNM T4) compared to lower stages and a significant positive association with histological grading (r=0.29, p=0.028). We also found that in patients with high serum Cav-1 the antioxidant capacity of the body is reduced. These findings indicate that Cav-1 may be an interesting tool for the prediction of disease burden.
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