research article
Serum level of chromogranin are not predictive of high grade poorly differentiated prostate cancer: results from an italian biopsy cohort
Abstract
Objectives: To explore the association of chromogranin A (CgA) levels and the risk of poorly differentiated prostate cancer (CaP) in men undergoing prostate biopsy. Materials and methods: Between 2006 and 2012, we prospectively enrolled 1,018 men with no history of CaP undergoing prostate biopsy. The risk of detecting poorly differentiated CaP.as a function of CgA concentration was evaluated using crude and adjusted logistic regressions. Further analyses were performed to determine whether CgA was a significant predictor of high-grade CaP in men with low PSA (<10 ng/ml). Results: We found a significantly higher level of cgA in men with poorly differentiated CaP. CgA was however co-linear with age, and serum CgA levels were not significantly associated with the overall risk of CaP, and the specific risk of poorly differentiated CaP (OR 1.001 95% CI 0.99-1.01, P = 0.74). Moreover, in men with low PSA levels (<10 ng/ml), CgA was not a significant predictor of high grade-disease on univariate (OR 1.00; 95% CI 0.99-1.01; P = 0.66) and multivariate analysis (P = 0.85). Conclusions: In our cohort of patients, the serum level of CgA is not a significant predictor of poorly differentiated CaP on initial prostate biopsy, even in men with low PSA levels (<10 ng/ml). According to our experience, CgA should not be considered a reliable marker to predict poorly differentiate cancer in the setting of initial prostate biopsy. (C) 2014 Elsevier Inc. All rights reserved- info:eu-repo/semantics/article
- neuroendocrine
- logistic model
- chromogranin a
- tumor marker
- pathology
- prostatic neoplasm
- prostate-specific antigen
- aged
- prognosi
- prostate
- multivariate analysi
- high-grade
- neoplasm grading
- prostate cancer
- italy
- biopsy
- male
- middle aged
- human
- blood
- cohort studie
- sensitivity and specificity
- blood/diagnosis/pathology
- biological
- age factor
- predictive value of test
- risk factors