BACKGROUNDThe diagnostic value of current prostate-specific antigen (PSA) tests is challenged by the poor detection rate of prostate cancer (PCa) in repeat prostate biopsy. In this study, we proposed a novel PSA-related parameter named PSA density variation rate (PSADVR) and designed a clinical trial to evaluate its potential diagnostic value for detecting PCa on a second prostate biopsy.

METHODSData from 184 males who underwent second ultrasound-guided prostate biopsy 6 months after the first biopsy were included in the study. The subjects were divided into PCa and non-PCa groups according to the second biopsy pathological results. Prostate volume, PSA density (PSAD), free-total PSA ratio, and PSADVR were calculated according to corresponding formulas at the second biopsy. These parameters were compared using t-test or Mann-Whitney U-test between PCa and non-PCa groups, and receiver operating characteristic analysis were used to evaluate their predictability on PCa detection.

RESULTSPCa was detected in 24 patients on the second biopsy. Mean values of PSA, PSAD, and PSADVR were greater in the PCa group than in the non-PCa group (8.39 μg/L vs. 7.16 μg/L, 0.20 vs. 0.16, 14.15% vs. -1.36%, respectively). PSADVR had the largest area under the curve, with 0.667 sensitivity and 0.824 specificity when the cutoff was 10%. The PCa detection rate was significantly greater in subjects with PSADVR >10% than PSADVR ≤10% (28.6% vs. 6.5%, P< 0.001). In addition, PSADVR was the only parameter in this study that showed a significant correlation with mid-to-high-risk PCa (r = 0.63, P = 0.03).

CONCLUSIONSOur results demonstrated that PSADVR improved the PCa detection rate on second biopsies, especially for mid-to-high-risk cancers requiring prompt treatment.

Aged ; Biopsy ; methods ; Humans ; Male ; Middle Aged ; Predictive Value of Tests ; Prospective Studies ; Prostate ; metabolism ; pathology ; Prostate-Specific Antigen ; blood ; Prostatic Neoplasms ; blood ; diagnosis ; ROC Curve

OBJECTIVETo investigate the correlation between a diverse of clinical factors and bone metastases of prostate cancer.

METHODSThe clinical data of 80 patients with prostate cancer were collected and analyzed. The correlations of age, alkaline phosphotase (ALP), prostate specific antigen (PSA), erythrocyte sedimentation rate (ESR), Gleason score, and expressions of androgen receptor (AR) and Ki-67 with bone metastases were analyzed by one-way ANOVA and Logistic regression analysis. The cutoff value, sensitivity and specificity of the independent correlation factors were calculated.

RESULTSForty-five of the 80 patients (56%) were found to have bone metastasis, who had significantly older age and higher levels of ALP, PSA, ESR, Gleason score, and expressions of AR and Ki-67 than those without bone metastasis (P<0.05). Logistic regression analysis identified PSA, Gleason score and AR expression as independent factors correlated with bone metastasis with OR (95% CI) of 1.005 (1.001, 1.009) (P=0.008), 5.356 (1.431, 20.039) (P=0.013), and 18.594 (2.460, 140.524) (P=0.005), respectively. The cutoff values of PSA, Gleason Score and AR were 67.1 ng/ml, 7.5, and 2.5, respectively; their sensitivities were 55.6%, 75.6%, and 84.0% for predicting bone metastasis with specificities of 97.1%, 82.9%, and 91.4%, respectively.

CONCLUSIONOf the factors analyzed, PSA, Gleason score and AR expression, but not age, ALP, PSA, ESR, or Ki-67 expression, are the predictive factors of bone metastasis of prostate cancer.

Alkaline Phosphatase ; metabolism ; Bone Neoplasms ; diagnosis ; secondary ; Humans ; Male ; Neoplasm Grading ; Predictive Value of Tests ; Prostate-Specific Antigen ; blood ; Prostatic Neoplasms ; pathology ; Receptors, Androgen ; metabolism ; Sensitivity and Specificity

The aim of this study was to analyze the use of 12 single-nucleotide polymorphisms in genes ELAC2, RNASEL and MSR1 as biomarkers for prostate cancer (PCa) detection and progression, as well as perform a genetic classification of high-risk patients. A cohort of 451 men (235 patients and 216 controls) was studied. We calculated means of regression analysis using clinical values (stage, prostate-specific antigen, Gleason score and progression) in patients and controls at the basal stage and after a follow-up of 72 months. Significantly different allele frequencies between patients and controls were observed for rs1904577 and rs918 (MSR1 gene) and for rs17552022 and rs5030739 (ELAC2). We found evidence of increased risk for PCa in rs486907 and rs2127565 in variants AA and CC, respectively. In addition, rs627928 (TT-GT), rs486907 (AG) and rs3747531 (CG-CC) were associated with low tumor aggressiveness. Some had a weak linkage, such as rs1904577 and rs2127565, rs4792311 and rs17552022, and rs1904577 and rs918. Our study provides the proof-of-principle that some of the genetic variants (such as rs486907, rs627928 and rs2127565) in genes RNASEL, MSR1 and ELAC2 can be used as predictors of aggressiveness and progression of PCa. In the future, clinical use of these biomarkers, in combination with current ones, could potentially reduce the rate of unnecessary biopsies and specific treatments.
Aged ; Aged, 80 and over ; Cohort Studies ; Disease Progression ; Endoribonucleases/*genetics ; Gene Frequency ; Genetic Markers/genetics ; Genetic Predisposition to Disease ; Humans ; Male ; Middle Aged ; Neoplasm Proteins/*genetics ; *Polymorphism, Single Nucleotide ; Prognosis ; Prostate/metabolism/*pathology ; Prostatic Neoplasms/*diagnosis/*genetics ; Scavenger Receptors, Class A/*genetics

OBJECTIVETo investigate the impact of androgen receptor splice variant 7 (AR-V7) expression on overall survival for patients with metastatic prostate cancer.

METHODSThe data of 113 diagnosed metastatic prostate cancer patients from January 2002 to June 2010 were collected retrospectively, including patient's age at diagnosis, prostate-specific antigen (PSA) level at diagnosis,Gleason score, clinical stage, PSA nadir during hormonal therapy, the time to PSA nadir, vital status, survival time and cause of death. The expression of AR-V7 in prostate cancer tissue was detected by using immunohistochemical staining. The correlation of AR-V7 expression and patient clinicopathological characteristics in all patients were analysed using Student t-test or Chi-square test. Cox proportional hazards regression models were used to evaluate the predictive role of AR-V7 expression and patient characteristics for overall survival.

RESULTSThe median PSA nadir was 0.7 µg/L (ranged from 0.0 to 143.0 µg/L). The median time to PSA nadir was 8.1 months (ranged from 0.9 to 71.0 months). The follow-up was performed until March 12, 2014. During the follow-up period, 67 of 113 metastatic prostate cancer patients (59.3%) died and the median overall survival was 96 months (ranged from 5 to 135 months). The AR-V7 detection rate was 20.4% (23/113). The serum PSA level in patients with positively expression of AR-V7 was significantly higher than that without AR-V7 expression (t = 2.521, P = 0.013). Multivariate Cox regression analysis indicated that the expression of AR-V7 (HR = 2.421, P = 0.002) and time to PSA nadir (HR = 1.019, P = 0.022) were independent prognostic factors of overall survival for metastatic prostate cancer patients.

CONCLUSIONSThe expression of AR-V7 in prostate cancer tissues and time to PSA nadir during hormonal therapy are independent prognostic factors of overall survival for metastatic prostate cancer patients. Therapy targeting AR-V7 may improve prognosis of metastatic prostate cancer patients.

Adult ; Aged ; Aged, 80 and over ; Humans ; Male ; Middle Aged ; Neoplasm Metastasis ; Prognosis ; Proportional Hazards Models ; Prostate-Specific Antigen ; blood ; Prostatic Neoplasms ; diagnosis ; metabolism ; pathology ; Protein Isoforms ; metabolism ; Receptors, Androgen ; metabolism ; Retrospective Studies

Adenocarcinoma ; metabolism ; pathology ; Atrophy ; Biomarkers ; metabolism ; Diagnosis, Differential ; Humans ; Male ; Prostate ; pathology ; Prostatic Diseases ; metabolism ; pathology ; Prostatic Hyperplasia ; metabolism ; pathology ; Prostatic Neoplasms ; metabolism ; pathology ; Prostatitis ; metabolism ; pathology ; Xanthomatosis ; metabolism ; pathology

Adenoma ; metabolism ; pathology ; Biomarkers ; metabolism ; Biomarkers, Tumor ; metabolism ; Carcinoma, Basal Cell ; metabolism ; pathology ; Diagnosis, Differential ; Humans ; Hyperplasia ; Immunohistochemistry ; Male ; Prostate ; metabolism ; pathology ; Prostatic Hyperplasia ; metabolism ; pathology ; Prostatic Neoplasms ; metabolism ; pathology

Considering that antibiotic treatment may elevated the level of prostate-specific antigen (PSA) and hence limit the specificity of PSA test for prostate cancer, urologists use empiric antibiotic treatment for men with increased PSA levels. But it is controversial whether antibiotic treatment can exclude inflammation in the differential diagnosis of PSA elevation. Some researchers have found that antibiotic treatment can decrease inflammation-induced PSA elevation and help to reduce unnecessary biopsies, while others have reported that antibiotic treatment has no significant effect on the PSA level, and the lowered level of PSA following antibiotic treatment does not mean the decreased risk of prostate cancer. Further researches are needed to confirm the value of antibiotic treatment before biopsy.
Anti-Bacterial Agents ; therapeutic use ; Biomarkers, Tumor ; blood ; Biopsy ; Diagnosis, Differential ; Humans ; Inflammation ; metabolism ; pathology ; Male ; Prostate ; pathology ; Prostate-Specific Antigen ; blood ; Prostatic Neoplasms ; diagnosis ; pathology ; Prostatitis ; pathology

Diagnosis, Differential ; Female ; Humans ; Immunohistochemistry ; In Situ Hybridization, Fluorescence ; Leukemia, Myeloid, Chronic-Phase ; genetics ; Lymphoma ; classification ; diagnosis ; pathology ; Male ; Neoplasms ; genetics ; metabolism ; pathology ; Oncogene Proteins ; metabolism ; Prognosis ; Prostatic Neoplasms ; genetics ; Reverse Transcriptase Polymerase Chain Reaction ; Translocation, Genetic ; Tumor Suppressor Proteins ; metabolism

OBJECTIVETo clarify the clinical and morphological features of adult prostate sarcoma (APS) and to further improve the knowledge and diagnostic accuracy for APS.

METHODSFifteen cases of APS were observed and analyzed on the clinical symptom, pathological features, treatment and prognosis.

RESULTSAge of onset ranged from 22 to 77 years (mean 46.3 years). The majority of cases were presented with dysuresia. By digital rectal examination and imaging of the prostate, APS was often identified as a large tumor mass. There were 6 cases of leiomyosarcomas, 6 embryonal rhabdomyosarcomas, and 3 fibrosarcomas in this series. Follow-up data were available for 12 cases: 7 cases died of the disease between 9 days and 360 days after surgery. Among 5 survived patients, 3 cases had recurrence after 2 to 24 months follow-up.

CONCLUSIONSAPS is a rare tumor that typically has clinical features: earlier age of onset, fast-appeared urinary tract symptoms, significant mass effects, and poor outcome. Level of prostate specific antigen (PSA) is usually normal or lower. Final diagnosis relies on the features of histology and immunohistochemistry expression profile.

Actins ; metabolism ; Adult ; Aged ; Desmin ; metabolism ; Diagnosis, Differential ; Digital Rectal Examination ; Fibronectins ; metabolism ; Fibrosarcoma ; diagnosis ; metabolism ; pathology ; surgery ; Follow-Up Studies ; Humans ; Immunohistochemistry ; Leiomyosarcoma ; diagnosis ; metabolism ; pathology ; surgery ; Male ; Middle Aged ; Myogenin ; metabolism ; Myosins ; metabolism ; Neoplasm Recurrence, Local ; Prostate-Specific Antigen ; metabolism ; Prostatectomy ; methods ; Prostatic Neoplasms ; diagnosis ; metabolism ; pathology ; surgery ; Rhabdomyosarcoma, Embryonal ; diagnosis ; metabolism ; pathology ; surgery ; Sarcoma ; diagnosis ; metabolism ; pathology ; surgery ; Survival Rate ; Vimentin ; metabolism ; Young Adult

Aged, 80 and over ; Antigens, CD20 ; metabolism ; CD79 Antigens ; metabolism ; Diagnosis, Differential ; Humans ; Interferon Regulatory Factors ; metabolism ; Ki-67 Antigen ; metabolism ; Leukosialin ; metabolism ; Lymphoma, Large B-Cell, Diffuse ; metabolism ; pathology ; surgery ; Male ; Neoplasms, Muscle Tissue ; metabolism ; pathology ; Prostatic Neoplasms ; metabolism ; pathology ; surgery ; Prostatitis ; metabolism ; pathology ; Proto-Oncogene Proteins c-bcl-2 ; metabolism ; Receptor Protein-Tyrosine Kinases ; metabolism