We propose a strategy to reduce unnecessary prostate biopsies in Chinese patients with total prostate-specific antigen (tPSA) >10 ng ml -1 and Prostate Imaging Reporting and Data System (PI-RADS) scores between 1 and 3. Clinical data derived from 517 patients of The First Affiliated Hospital of USTC (Hefei, China) from January 2020 to December 2023 who met the screening criteria for the study were retrospectively collected. Independent predictors were identified via univariate and multivariate logistic regression analysis. The diagnostic capacity of clinical variables was evaluated using the receiver operating characteristic (ROC) curves and area under the curve (AUC). A prostate biopsy strategy was developed via risk stratification. Of the 517 patients, 17/348 (4.9%) with PI-RADS 1-2 were diagnosed with clinically significant prostate cancer (csPCa), and 27/169 (16.0%) patients with PI-RADS 3 were diagnosed with csPCa. The appropriate prostate-specific antigen density (PSAD) cut-off values were 0.45 ng ml -2 for PI-RADS 1-2 patients and 0.3 ng ml -2 for PI-RADS 3 patients. The appropriate prostate volume (PV) cut-off values were 40 ml for PI-RADS 1-2 patients and 50 ml for PI-RADS 3 patients. The prostate biopsy strategy based on PSAD and PV developed in this study can reduce unnecessary prostate biopsies in patients with tPSA >10 ng ml -1 and PI-RADS 1-3. In the study, 66.5% (344/517) patients did not need to undergo prostate biopsy, at the expense of missing only 1.7% (6/344) patients with csPCa.
Humans ; Male ; Prostatic Neoplasms/diagnostic imaging* ; Prostate-Specific Antigen/blood* ; Aged ; Middle Aged ; Retrospective Studies ; Prostate/diagnostic imaging* ; Unnecessary Procedures/statistics & numerical data* ; Biopsy/statistics & numerical data* ; China ; ROC Curve

The choice of biopsy method is critical in diagnosing prostate cancer (PCa). This retrospective cohort study compared systematic biopsy (SB) or cognitive fusion-targeted biopsy combined with SB (CB) in detecting PCa and clinically significant prostate cancer (csPCa). Data from 2572 men who underwent either SB or CB in Fudan University Shanghai Cancer Center (Shanghai, China) between January 2019 and December 2023 were analyzed. Propensity score matching (PSM) was used to balance baseline characteristics, and detection rates were compared before and after PSM. Subgroup analyses based on prostate-specific antigen (PSA) levels and Prostate Imaging-Reporting and Data System (PI-RADS) scores were performed. Primary and secondary outcomes were the detection rates of PCa and csPCa, respectively. Of 2572 men, 1778 were included in the PSM analysis. Before PSM, CB had higher detection rates for both PCa (62.9% vs 52.4%, odds ratio [OR]: 1.54, P < 0.001) and csPCa (54.9% vs 43.3%, OR: 1.60, P < 0.001) compared to SB. After PSM, CB remained superior in detecting PCa (63.1% vs 47.9%, OR: 1.86, P < 0.001) and csPCa (55.0% vs 38.2%, OR: 1.98, P < 0.001). In patients with PSA 4-12 ng ml -1 (>4 ng ml -1 and ≤12 ng ml -1 , which is also applicable to the following text), CB detected more PCa (59.8% vs 40.7%, OR: 2.17, P < 0.001) and csPCa (48.1% vs 27.7%, OR: 2.42, P < 0.001). CB also showed superior csPCa detection in those with PI-RADS 3 lesions (32.1% vs 18.0%, OR: 2.15, P = 0.038). Overall, CB significantly improves PCa and csPCa detection, especially in patients with PSA 4-12 ng ml -1 or PI-RADS 3 lesions.
Humans ; Male ; Prostatic Neoplasms/diagnosis* ; Propensity Score ; Retrospective Studies ; Middle Aged ; Aged ; Image-Guided Biopsy/methods* ; Prostate-Specific Antigen/blood* ; Prostate/diagnostic imaging*

OBJECTIVE: To explore the application value of joint detection of serum neutrophil-to-lymphocyte ratio (NLR), prostate-specific antigen (PSA) and MMP26 in differentiating prostate cancer (PCa) from benign prostatic hyperplasia (BPH). METHODS: A total of 61 PCa patients (PCa group) and 63 BPH patients (BPH group) who were treated in The Affiliated Huaian Hospital of Xuzhou Medical University from May 2022 to May 2024 were retrospectively included. The relevant clinical data of all subjects were collected with the serum NLR, PSA and MMP26 levels being detected. Multivariate logistic regression analysis was used to analyze the influencing factors in differentiating PCa from BPH. The receiver operating characteristic (ROC) curve was used to evaluate the diagnostic value of serum NLR, PSA and MMP26 in differentiating PCa from BPH. RESULTS: The levels of TC and LDL-C in the PCa group were higher than those in the BPH group. And the level of HDL-C in the PCa group was lower than that in the BPH group (P<0.05). The serum levels of NLR, PSA and MMP26 in the PCa group were higher than those in the BPH group (P<0.05). The results of multivariate logistic regression analysis showed that NLR, PSA and MMP26 were risk factors for the diagnosis of PCa in patients (P<0.05). The ROC results showed that the area under the curve (AUC) of NLR, PSA MMP26 and joint diagnosis in the identification of PCa was 0.804, 0.800, 0.809 and 0.905, respectively. The comparison results of AUC showed that the joint diagnosis was superior to the single diagnosis (Z=2.262, 2.177, 2.002, P<0.05). CONCLUSION The joint detection of serum NLR, PSA and MMP26 has significant application value in the differentiation of PCa and BPH, which is expected to become an effective tool for early screening and diagnosis of PCa.
Humans ; Male ; Prostatic Hyperplasia/blood* ; Prostate-Specific Antigen/blood* ; Diagnosis, Differential ; Prostatic Neoplasms/blood* ; Retrospective Studies ; Neutrophils ; Lymphocytes ; ROC Curve ; Aged ; Middle Aged

Objective： The aim of this study is to explore the predictive value of biparametric magnetic resonance imaging(bpMRI)for pelvic lymph node metastasis in prostate cancer patients with PSA≤20 μg/L and establish a nomogram. Methods： The imaging data and clinical data of 363 patients undergoing radical prostatectomy and pelvic lymph node dissection in the First Affiliated Hospital of Nanjing Medical University from July 2018 to December 2023 were retrospectively analyzed. Univariate analysis and multivariate logistic regression were used to screen independent risk factors for pelvic lymph node metastasis in prostate cancer, and a nomogram of the clinical prediction model was established. Calibration curves were drawn to evaluate the accuracy of the model. Results： Multivariate logistic regression analysis showed extrocapusular extension (OR=8.08,95%CI=2.62－24.97, P<0.01), enlargement of pelvic lymph nodes (OR=4.45,95%CI=1.16－17.11,P=0.030), and biopsy ISUP grade(OR=1.97,95%CI=1.12－3.46, P=0.018)were independent risk factors for pelvic lymph node metastasis. The C-index of the prediction model was 0.834, which indicated that the model had a good prediction ability. The actual value of the model calibration curve and the prediction probability of the model fitted well, indicating that the model had a good accuracy. Further analysis of DCA curve showed that the model had good clinical application value when the risk threshold ranged from 0.05 to 0.70.Conclusion： For prostate cancer patients with PSA≤20 μg/L, bpMRI has a good predictive value for the pelvic lymph node metastasis of prostate cancer with extrocapusular extension, enlargement of pelvic lymph nodes and ISUP grade≥4.
Humans ; Male ; Prostatic Neoplasms/diagnostic imaging* ; Lymphatic Metastasis ; Retrospective Studies ; Nomograms ; Prostate-Specific Antigen/blood* ; Lymph Nodes/pathology* ; Pelvis ; Predictive Value of Tests ; Prostatectomy ; Lymph Node Excision ; Risk Factors ; Magnetic Resonance Imaging ; Logistic Models ; Middle Aged ; Aged

Prostate cancer represents a prevalent malignancy within the male genitourinary system. In recent years, its incidence in China has gradually increased, becoming a significant public health issue. While early detection correlates strongly with improved prognosis, the majority of newly diagnosed prostate cancer patients in China are already in intermediate or advanced stages, precluding curative-intent interventions and contributing to marked survival disparities. The progression of prostate cancer is lengthy, typically encompassing diagnosis, treatment, progression, metastasis, and death, accompanied by a decline in quality of life. Personalized treatment plans should be developed based on the disease stage and patient preferences. In non-metastatic prostate cancer, where the tumor is confined to the prostate, surgery and radiotherapy are the primary treatments, supplemented by neoadjuvant and adjuvant therapies to delay metastasis. For metastatic prostate cancer, systemic therapy is prioritized to prolong survival. In metastatic hormone-sensitive prostate cancer, controlling androgen levels is crucial, while treatment options for metastatic castration resistant prostate cancer are relatively limited, necessitating individualized and precise treatment. During prostate cancer management, prostate-specific antigen levels are closely linked to prognosis and require monitoring. Bone metastasis, the most common site in prostate cancer patients, often triggers skeletal-related events, demanding effective prevention and management. Treatment-related adverse reactions are also a clinical challenge, requiring balanced risk-benefit assessments and judicious drug selection to preserve quality of life. Rapid advancements in screening technologies, surgical innovations, drug development, and China-specific epidemiological factors further complicate decision-making in holistic prostate cancer management. To optimize the standardization of prostate cancer diagnosis and treatment in China, the Genitourinary Oncology Committee of Chinese Anti-cancer Association synthesized global guidelines, clinical evidence and clinical expertise, and addressed critical challenges in the whole-course management of prostate cancer to formulate a multidisciplinary consensus. The expert consensus on whole-course management of prostate cancer (2025 edition) establishes standardized protocols to guide clinical practice, improve treatment outcomes, and enhance patient quality of life.
Humans ; Male ; Prostatic Neoplasms/diagnosis* ; Consensus ; Prostate-Specific Antigen/blood* ; Quality of Life ; Prostatic Neoplasms, Castration-Resistant/pathology* ; China ; Bone Neoplasms/secondary* ; Androgen Antagonists/therapeutic use*

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

Prostate cancer (PCa) is the second leading cause of cancer-related death among men. Prostate-specific antigen (PSA) testing is used in screening programs for early detection with a consequent reduction of PCa-specific mortality at the cost of overdiagnosis and overtreatment of the nonaggressive PCa. Recently, several assays have been commercially developed to implement PCa diagnosis, but they have not been included in both screening and diagnosis of PCa. This review aims to describe the actual and novel commercially available molecular biomarkers that can be used in PCa management to implement and tailor the screening and diagnosis of PCa.
Humans ; Prostatic Neoplasms/genetics* ; Male ; Biomarkers, Tumor/genetics* ; Early Detection of Cancer/methods* ; Prostate-Specific Antigen/blood* ; Molecular Diagnostic Techniques/methods* ; Glutamate Carboxypeptidase II/metabolism*

To evaluate outcomes between extraperitoneal robotic single-port radical prostatectomy (epR-spRP) and extraperitoneal robotic multiport radical prostatectomy (epR-mpRP) performed with the da Vinci Si Surgical System, comparison was performed between 30 single-port (SP group) and 26 multiport (MP group) cases. Comparisons included operative time, estimated blood loss (EBL), hospital stay, peritoneal violation, pain scores, scar satisfaction, continence, and erectile function. The median operation time and EBL were not different between the two groups. In the SP group, the median operation time of the first 10 patients was obviously longer than that of the latter 20 patients (P < 0.001). The median postoperative hospital stay in the SP group was shorter than that in the MP group (P < 0.001). The rate of peritoneal damage in the SP group was less than that in the MP group (P = 0.017). The pain score and overall need for pain medications in the SP group were lower than those in the MP group (P < 0.001 and P = 0.015, respectively). Patients in the SP group were more satisfied with their scars than those in the MP group 3 months postoperatively (P = 0.007). At 3 months, the cancer control, recovery of erectile function, and urinary continence rates were similar between the two groups. It is safe and feasible to perform epR-spRP using the da Vinci Si surgical system. Therefore, epR-spRP can be a treatment option for localized prostate cancer. Although epR-spRP still has a learning curve, it has advantages for postoperative pain and self-assessed cosmesis. In the absence of the single-port robotic surgery platform, we can still provide minimally invasive surgery for patients.
Aged ; Blood Loss, Surgical/statistics & numerical data* ; Humans ; Male ; Middle Aged ; Outcome Assessment, Health Care/statistics & numerical data* ; Perioperative Medicine/statistics & numerical data* ; Prostatectomy/methods* ; Prostatic Neoplasms/surgery* ; Quality Assurance, Health Care/statistics & numerical data* ; Robotic Surgical Procedures/statistics & numerical data*

Our goal was to establish two new predictive models of prostate cancer to determine whether to require a prostate biopsy when the prostate-specific antigen level is in the diagnostic gray zone. A retrospective analysis of 197 patients undergoing prostate biopsy with prostate-specific antigens between 4 and 10 ng ml^-1 was conducted. Of these, 47 patients were confirmed to have cancer, while the remaining 150 patients were diagnosed with benign prostate disease after examining biopsy pathology. Two multivariate logistic regression models were established including age, prostate volumes, free/total prostate-specific antigen ratio, and prostate-specific antigen density using SPSS 19.0 to obtain the predicted probability and Logit P, and then, two receiver operating characteristic (ROC) curves were drawn to obtain the best cutoff value for prostate biopsy: one for the group of all the prostate cancers and one for the group of clinically significant prostate cancers. The best cutoff value for prostate biopsy was 0.25 from the multivariate logistic regression ROC curve model of all the prostate cancers, which gave a sensitivity of 75.4% and a specificity of 75.8%. The best cutoff value for prostate biopsy was 0.20 from the multivariate logistic regression model of clinically significant prostate cancers, which gave a sensitivity of 76.7% and a specificity of 80.1%. We identified the best cutoff values for prostate biopsy (0.25 for all prostate cancers and 0.20 for clinically significant prostate cancers) to determine whether to require prostate biopsy when the PSA level is in the diagnostic gray zone.
Aged ; Biopsy ; Humans ; Male ; Middle Aged ; Models, Theoretical ; Predictive Value of Tests ; Prostate/pathology* ; Prostate-Specific Antigen/blood* ; Prostatic Neoplasms/pathology* ; Sensitivity and Specificity

Prostate cancer (PCa) risk calculators (RCs) with prostate-specific antigen (PSA) and other risk factors can greatly improve the accurate prediction of potential risk of PCa compared to PSA. The European Randomized Study of Screening for PCa Risk Calculator (ERSPC-RC) and the Prostate Cancer Prevention Trial Risk Calculator (PCPT-RC) are developed on the Western population. However, the Western RCs showed limited diagnostic efficacy in the Eastern Asian population, mainly due to racial differences between the two populations. We aimed to review the application of Western RCs and Eastern Asian RCs in Eastern Asian cohorts and to identify the characteristics and efficacy of these RCs.
Aged ; Early Detection of Cancer ; Asia, Eastern ; Humans ; Male ; Middle Aged ; Models, Theoretical ; Prostate-Specific Antigen/blood* ; Prostatic Neoplasms/diagnosis* ; Risk Assessment ; Risk Factors