BACKGROUND: At present, biopsy is essential for the diagnosis of prostate cancer (PCa) before radical prostatectomy (RP). However, with the development of prostate-specific membrane antigen positron emission tomography/computed tomography (PSMA PET/CT) and multiparametric magnetic resonance imaging (mpMRI), it might be feasible to avoid biopsy before RP. Herein, we aimed to explore the feasibility of avoiding biopsy before RP in patients highly suspected of having PCa after assessment of PSMA PET/CT and mpMRI. METHODS: Between December 2017 and April 2022, 56 patients with maximum standardized uptake value (SUVmax) of ≥4 and Prostate Imaging Reporting and Data System (PI-RADS) ≥4 lesions who received RP without preoperative biopsy were enrolled from two tertiary hospitals. The consistency between clinical and pathological diagnoses was evaluated. Preoperative characteristics were compared among patients with different pathological types, T stages, International Society of Urological Pathology (ISUP) grades, and European Association of Urology (EAU) risk groups. RESULTS: Fifty-five (98%) patients were confirmed with PCa by pathology, including 49 (89%) with clinically significant prostate cancer (csPCa, defined as ISUP grade ≥2 malignancy). One patient was diagnosed with high-grade prostatic intraepithelial neoplasia (HGPIN). CsPCa patients, compared with clinically insignificant prostate cancer (cisPCa) and HGPIN patients, were associated with a higher level of prostate-specific antigen (22.9 ng/mL vs . 10.0 ng/mL, P = 0.032), a lower median prostate volume (32.2 mL vs . 65.0 mL, P = 0.001), and a higher median SUVmax (13.3 vs . 5.6, P <0.001). CONCLUSIONS It might be feasible to avoid biopsy before RP for patients with a high probability of PCa based on PSMA PET/CT and mpMRI. However, the diagnostic efficacy of csPCa with PI-RADS ≥4 and SUVmax of ≥4 is inadequate for performing a procedure such as RP. Further prospective multicenter studies with larger sample sizes are necessary to confirm our perspectives and establish predictive models with PSMA PET/CT and mpMRI.
Humans ; Male ; Prostatectomy/methods* ; Prostatic Neoplasms/diagnosis* ; Middle Aged ; Aged ; Positron Emission Tomography Computed Tomography/methods* ; Biopsy ; Multiparametric Magnetic Resonance Imaging ; Prostate-Specific Antigen/metabolism*

Prostate cancer is one of the most common malignant tumors in men and posing a serious threat to men's health. Detection methods such as prostate-specific antigen (PSA), prostate biopsy, and magnetic resonance imaging are widely used for prostate cancer screening, but they have low specificity, high cost, and significant risks. Therefore, there is an urgent need to develop highly specific, low-cost, easily obtained, stable, and reliable biomarkers, and use them as the basis to establish non-invasive screening and diagnostic methods for prostate cancer. This paper reviewed the recent advances in the use of prostate cancer biomarkers and combined detection methods for prostate cancer diagnosis and prognosis assessment and provides an in-depth analysis and comparison of different biomarkers and combined detection methods, as well as points out the directions and challenges for future research. The paper emphasizes the importance of developing efficient, cost-effective and easy-to-implement biomarkers to increase the early diagnosis rate of prostate cancer, improve patient prognosis, and reduce the waste of healthcare resources. This paper provides an important theoretical basis and technical guidance for early diagnosis, precise treatment and prognostic evaluation of prostate cancer, and has important reference value for promoting clinical research and practice of prostate cancer.
Humans ; Male ; Prostatic Neoplasms/diagnosis* ; Biomarkers, Tumor/blood* ; Early Detection of Cancer/methods* ; Prognosis ; Prostate-Specific Antigen/blood* ; Glutamate Carboxypeptidase II/metabolism* ; Antigens, Neoplasm/blood* ; Antigens, Surface ; Serine Endopeptidases

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

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

The potential use of urinary nucleic acids as diagnostic markers in prostate cancer (PCa) was evaluated. Ninety-five urine samples and 234 prostate tissue samples from patients with PCa and benign prostatic hyperplasia (BPH) were analyzed. Micro-array analysis was used to identify candidate genes, which were verified by the two-gene expression ratio and validated in tissue mRNA and urinary nucleic acid cohorts. Real-time quantitative polymerase chain reaction (qPCR) was used to measure urinary nucleic acid levels and tissue mRNA expression. The TSPAN13-to-S100A9 ratio was selected to determine the diagnostic value of urinary nucleic acids in PCa (P = 0.037) and shown to be significantly higher in PCa than in BPH in the mRNA and nucleic acid cohort analyses (P < 0.001 and P = 0.013, respectively). Receiver operating characteristic (ROC) analysis showed that the area under the ROC curve was 0.898 and 0.676 in tissue mRNA cohort and urinary nucleic acid cohort, respectively. The TSPAN13-to-S100A9 ratio showed a strong potential as a diagnostic marker for PCa. The present results suggest that the analysis of urine supernatant can be used as a simple diagnostic method for PCa that can be adapted to the clinical setting in the future.
Aged ; Aged, 80 and over ; Biomarkers, Tumor/*genetics/*urine ; Calgranulin B/*genetics ; Cohort Studies ; Humans ; Male ; Middle Aged ; Nucleic Acids/*genetics/*urine ; Oligonucleotide Array Sequence Analysis ; Prostate/metabolism ; Prostatic Hyperplasia/diagnosis/genetics/urine ; Prostatic Neoplasms/diagnosis/*genetics/*urine ; RNA, Messenger/genetics/metabolism ; RNA, Neoplasm/genetics/metabolism ; ROC Curve ; Real-Time Polymerase Chain Reaction ; Tetraspanins/*genetics

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 study the expression of the Trp-p8 protein in the prostate tissue of the PSA "grey zone" with different PSA density of the transition zone (PSADTZ) and explore the value of determining Trp-p8 expression and PSADTZ in the early diagnosis of prostate cancer (PCa).

METHODSThis study involved 30 cases of benign prostatic hyperplasia (BPH) and another 30 cases of PCa with different PSADTZ values. Using a data imaging and analysis system, we determined the expression levels of Trp-p8 in BPH and PCa tissues and analyzed their correlation with PSADTZ.

RESULTSThe expression of Trp-p8 was weak or negative in the BPH but strong in the PCa tissue and even stronger in the PCa tissue with high PSADTZ (F = 34. 05, P < 0.05).

CONCLUSIONThe Trp-p8 protein is expressed differently in BPH and PCa tissues of the PSA " grey zone" and its expression is positively correlated with PSADTZ. Determination of the Trp-p8 expression and PSADTZ contributes to the early diagnosis of prostate cancer.

Biomarkers, Tumor ; metabolism ; Early Detection of Cancer ; methods ; Humans ; Male ; Prostate ; metabolism ; Prostate-Specific Antigen ; metabolism ; Prostatic Hyperplasia ; diagnosis ; metabolism ; Prostatic Neoplasms ; diagnosis ; metabolism ; TRPM Cation Channels ; metabolism

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

BACKGROUNDThe specificity for early interventions of prostate-specific antigen (PSA) in prostate cancer (PCa) is not satisfactory. It is likely that prostate cancer antigen 3 (PCA3) can be used to predict biopsy outcomes more accurately than PSA for the early detection of PCa. We systematically reviewed literatures and subsequently performed a meta-analysis.

METHODSA bibliographic search in the database of Embase, Medline, Web of Science, NCBI, PubMed, CNKI, and those of health technology assessment agencies published before April 2013 was conducted. The key words used were "prostatic neoplasms", "prostate", "'prostate', 'carcinoma' or 'cancer' or 'tumor', or 'PCa,'" and free terms of "upm3", "pca3", "dd3", "aptimapca 3", and "prostate cancer antigen 3". All patients were adults. The intervention was detecting PCA3 in urine samples for PCa diagnosis. We checked the quality based on the QUADAS criteria, collected data, and developed a meta-analysis to synthesize results. Twenty-four studies of diagnostic tests with moderate to high quality were selected.

RESULTSThe sensitivity was between 46.9% and 82.3%; specificity was from 55% to 92%; positive predictive value had a range of 39.0%-86.0%; and the negative predictive value was 61.0%-89.7%. The meta-analysis has heterogeneity between studies. The global sensitivity value was 0.82 (95% CI 0.72-0.90); specificity was 0.962 (95% CI 0.73-0.99); positive likelihood ratio was 2.39 (95% CI 2.10-2.71); negative likelihood ratio was 0.51 (95% CI 0.46-0.86); diagnostic odds ratio was 4.89 (95% CI 3.94-6.06); and AUC in SROC curve was 0.744 1.

CONCLUSIONPCA3 can be used for early diagnosis of PCa and to avoid unnecessary biopsies.

Antigens, Neoplasm ; metabolism ; Biomarkers, Tumor ; metabolism ; Biopsy ; Humans ; Male ; Prostatic Neoplasms ; diagnosis ; metabolism