In the search of novel urine biomarkers for the early diagnosis of prostate cancer. Intracellular or secreted proteins as the target group? Where and how to search for possible biomarkers useful in the everyday clinical practice.

OBJECTIVE: To search which category of proteins can be detected in urine in order to examine subsequently its ability to improve our accuracy for the diagnosis of Prostate Cancer (PCa) as biomarkers in clinical useful fluids like urine and serum. Material and method(s): Urine samples of 127 patients were obtained after a vigorous transrectal prostatic massage to both lobes. The patients were considered to have a high risk for PCa according to their PSA (> 4 ng/ml), their digital rectal examination (DRE) (positive for suspicious prostatic lesions) or to their abnormal PSA kinetics (PSA velocity (PSAV > 0.75 ng/mL). All patients subsequently were subjected to an extended 10-core per prostatic lobe TRUS-b (total 20 prostatic samples). The proteins that were chosen to be detected in the urine samples with Western-blot, as possible biomarkers, were Glutathione peroxidase 3 precursor (GPx3), Cofilin-1 (CFL1), Heat shock protein-90ß (HSP 90ß), Zinc alpha 2-glycoprotein (ZAG) and secreted protein acidic and rich in cysteine (SPARC).These proteins have been detected previously in the prostatic tissue by proteomics proving their discriminative ability between patients with prostate cancer and benign prostatic hyperplasia. RESULT(S): From the five proteins, only the secreted Zinc alpha 2-glycoprotein was detected in urine showing a promising ability in the improvement of our diagnostic accuracy for the early diagnosis of prostate cancer. CONCLUSIONS: From various categories of proteins that have already been detected in the tissue of prostate by proteomics, only secreted protein Zinc alpha 2-glycoprotein showed a clear signal in the urine, proving its discriminative potential for the early diagnosis of PCa.

Zinc α2-glycoprotein as a potential novel urine biomarker for the early diagnosis of prostate cancer.

UNLABELLED: What's known on the subject? and What does the study add? The use of biomarkers to detect a cancer early, especially prostate cancer, is not a new idea and PSA has been proved to be the best biomarker for the early diagnosis of prostate cancer. Since the introduction and wide use of PSA various efforts have been made to find novel biomarkers in both serum and urine of individuals at high risk for prostate cancer. The best example of a biomarker detected in the urine after a vigorous digital rectal examination is PCA3, which is used mainly in the subgroup of patients with PSA 4-10 ng/mL whose prostate biopsy was repeatedly negative for prostate cancer in order to decide the performance or not of a new biopsy. Proteomics is a state of the art new biotechnology used to identify the proteome of a certain tissue meaning the whole group of proteins related to the anatomy and biochemistry of the tissue. Using proteomics can effectively and more specifically identify proteins that can be used as potential biomarkers for the early diagnosis of prostate cancer. Zinc α2-glycoprotein has been studied in the past as a protein related to cancer cachexia and it has been measured in both prostate tissue and serum in patients with prostate cancer. Zinc α2-glycoprotein has also been recently identified by proteomics in prostate tissue showing different values in patients with prostate cancer and benign prostate hyperplasia. It is the first time that zinc α2-glycoprotein has been systematically measured and studied in an easily obtained biological fluid such as urine showing a very optimistic potential both as a novel solo biomarker and as an adjunct to PSA for the early diagnosis of prostate cancer. PSA has revolutionized the way we approximate prostate cancer diagnosis. Even though PSA is still the best biomarker for the diagnosis of prostate cancer it constitutes an organ-specific and not a disease-specific biomarker and diagnostic dilemmas are often raised concerning the performance or not of a prostate biopsy. Thus novel biomarkers are required in order to improve the diagnostic ability of PSA. Increasingly in the literature it is stated that the future of prostate cancer diagnosis could be not a single biomarker but a band of different biomarkers that as a total could give the possibility of an individual having prostate cancer. By detecting and measuring zinc α2-glycoprotein in the urine we believe that interesting conclusions can be made: first that proteomics is the way to detect with accuracy proteins that could be proved to be valuable novel biomarkers; second that zinc α2-glycoprotein detected in the urine could be used both as a solo biomarker and as an adjunct to PSA for the early diagnosis of prostate cancer. OBJECTIVE: • To examine the potential utility as a novel biomarker in the urine of zinc α2-glygoprotein (ZAG) for the early diagnosis of prostate cancer. PATIENTS AND METHODS: • The urine of 127 consecutive candidates for a transrectal ultrasound prostatic biopsy with a mean age of 65.7 ± 8.7 years and mean PSA 9.1 ± 5.3 ng/mL was collected. • Western blot analysis and immunohistochemistry for ZAG were performed. • Receiver operating characteristic curves and logistic regression models were used to estimate the predictive ability of ZAG and to determine the optimal sensitivity and specificity by using various cut-off values for the prediction of prostate cancer. RESULTS: • In all, 42 patients had prostate cancer, 29 showed high grade prostatic intraepithelial neoplasia and 56 were negative. • Receiver operating characteristic curve analysis showed a significant predictive ability of ZAG for prostate cancer. The area under the curve (AUC) for the prediction of prostate cancer was 0.68 (95% CI 0.59-0.78). • The combination of ZAG with PSA showed a significant improvement in the predictive ability (P= 0.010), with AUC equal to 0.75 (95% CI 0.66-0.85). Separate analysis in patients with PSA levels of 4-10 ng/mL (70.1%) showed that ZAG had a discriminative power with AUC equal to 0.68. • The optimal cut-off was 1.13 for ZAG, which corresponded to 6.88 times greater odds for prostate cancer. CONCLUSIONS: • Urine detected ZAG showed promising results in the prediction of prostate cancer. • Further validation is required to establish ZAG as a novel biomarker.

Pregnancy at term does not alter the responses to a mechanical and an electrical stimulus after skin EMLA application.

BACKGROUND: Pregnancy is associated with reduced local anesthetic requirements and increased pain thresholds, possibly due to hormonal changes and activation of endogenous opioids. METHODS: We compared the responses to a mechanical and an electrical stimulus in 30 pregnant women (pregnant group) scheduled for cesarean section and 30 healthy female volunteers (control group) matched for age. Pain was assessed by Visual Analogue Scale (VAS) on two different days after skin application of EMLA or placebo cream on the forearms. EMLA and placebo cream were randomly applied on the medial surface of both forearms for 30 min in a blind cross over manner and the subjects received a mechanical stimulus generated through a pressor palpator followed by an electrical stimulus generated through a nerve stimulator. RESULTS: Average VAS values from both trials did not differ between pregnant and control group exposed to the mechanical or electrical stimulus after EMLA application or after mechanical or electrical stimulus after placebo cream application.. CONCLUSIONS: Late pregnancy is not associated with increased sensitivity to local anesthetics (EMLA) applied to the skin, under our study conditions.