Search Results (231)

Prostate cancer (PC) has long been considered a disease of older men. Still, a significant and concerning rise in diagnoses among younger men has revealed a biologically distinct and more aggressive clinical entity: early-onset prostate cancer (EO-PC). This comprehensive review synthesizes the molecular and clinical evidence to demonstrate that PC is not a single disease, but a collection of distinct entities delineated by patient age. EO-PC is characterized by a strong genetic component, unique fusion events like TMPRSS2-ERG, and a highly plastic phenotype driven by intense Notch signaling and a hybrid epithelial-to-mesenchymal transition. In stark contrast, late-onset prostate cancer (LO-PC) is defined by a higher mutational burden, an epigenetic “field defect” that accumulates with age, and a predominantly immunosuppressive tumor microenvironment. These profound biological differences have significant implications for diagnosis, prognosis, and therapeutic strategies. Traditional prognostic tools, such as the Gleason score, are often insufficient to capture the full spectrum of risk in younger men. The divergent molecular landscapes of EO-PC and LO-PC necessitate a fundamental shift from a standard approach to an age-aware precision medicine framework. This review highlights key therapeutic targets and underscores the critical need for a new paradigm in PC management to improve patient outcomes. Full article

Background/Objectives: Metastatic prostate cancer is among the therapy-resistant human neoplasms. PC-3 is a commonly used experimental cell line that does not express androgen receptors. We compared the cytotoxicity of esculetin with that of vinblastine and paclitaxel on prostatic tumour PC-3 cells. Methods: Cells were treated with either esculetin (100 or 250 μM), vinblastine (50 μM) or paclitaxel (100 or 200 μM) for 19 to 72 h. Cells were assessed for metabolic viability, membrane integrity, DNA fragmentation and cell cycle analysis. Apoptosis was checked with annexin and propidium iodide. Results: Esculetin decreased the metabolic activity of PC-3 cells in a time- and concentration-dependent way. The metabolic activity of vinblastine- and paclitaxel-treated cells did not show time-dependence. Cells treated with 250 µM esculetin for 48 or 72 h showed apoptosis levels similar to those produced by 50 µM vinblastine at these incubation times or by 200 µM paclitaxel at 19 h. Vinblastine and paclitaxel produced cell cycle arrest in the G2/M phase after incubation for 19 h. In contrast, esculetin did not significantly affect the cell cycle. Conclusions: A differential action of esculetin on PC-3 prostate cells may be inferred. This may be relevant for novel therapies against resistant prostate cancer. Full article

Recent studies suggest a role for the gut microbiota in the onset, progression, and prognosis of prostate cancer (PCa), one of the most common neoplasms in males. PCa screening relies on PSA testing, whose usefulness remains controversial due to its low specificity. This study was aimed at investigating the differences in the gut microbiota of PCa patients and healthy controls (HCs) and finding correlations between gut microbes and the clinical laboratory parameter assessed in the evaluation of PCa, to identify bacteria which could be used as diagnostic and prognostic biomarkers. Fecal samples collected from 18 PCa patients and 18 HCs were used to isolate bacterial DNA. 16S rRNA gene sequencing provided the gut microbial profiles of the enrolled subjects, whose functional impact was also predicted. A recursive partitioning tree method allowed us to identify a bacterial signature discriminating PCa from HC. A correlation analysis was performed between gut bacteria and the clinical laboratory parameters assessed in the evaluation of PCa. Differential bacterial patterns emerged between PCa patients and HCs, together with significant differences in beta-diversity, alpha-diversity, and richness. The functional prediction of the microbial profiles revealed several metabolic processes differentially regulated, including an enrichment in the Krebs cycle and in steroid hormone synthesis in PCa patients. A bacterial signature based on the abundance of Lactobacillus and Collinsella was found to discriminate between the two groups. Significant correlations were found between gut bacteria and the clinical laboratory parameters generally assessed in the evaluation of PCa. These results indicate that gut microbiota profiles may, in the future, represent potential biomarkers associated with prostate cancer risk or progression; however, further prospective studies and clinical validation are needed before considering their use as diagnostic or prognostic tools. Full article

Purpose: Accurate survival prediction is essential for optimizing the treatment planning in patients with castration-resistant prostate cancer (CRPC). However, the traditional statistical models often underperform due to limited variable inclusion and an inability to account for complex, multidimensional data interactions. Methods: We retrospectively collected 46 clinical, laboratory, and pathological variables from 801 patients with CRPC, covering the disease course from the initial disease diagnosis to CRPC progression. Multiple machine learning (ML) models, including random survival forests (RSFs), XGBoost, LightGBM, and logistic regression, were developed to predict cancer-specific mortality (CSM), overall mortality (OM), and 2- and 3-year survival status. The dataset was split into training and test cohorts (80:20), with 10-fold cross-validation. The performance was assessed using the C-index for regression models and the AUC, accuracy, precision, recall, and F1-score for classification models. Model interpretability was assessed using SHapley Additive exPlanations (SHAP). Results: Over a median follow-up of 24 months, 70.6% of patients experienced CSM. RSFs achieved the highest C-index in the test set for both CSM (0.772) and OM (0.771). For classification tasks, RSFs demonstrated a superior performance in predicting 2-year survival, while XGBoost yielded the highest F1-score for 3-year survival. The SHAP analysis identified time to first-line CRPC treatment and hemoglobin and alkaline phosphatase levels as key predictors of survival outcomes. Conclusion: The RSF and XGBoost ML models demonstrated a superior performance over that of traditional statistical methods in predicting survival in CRPC. These models offer accurate and interpretable prognostic tools that may inform personalized treatment strategies. External validation and the integration of emerging therapies are warranted for broader clinical applicability. Full article

Objective: The aim of this systematic review was to compare the impact of various dietary patterns on cancer mortality, recurrence, remission, quality of life, and prostate-specific antigen (PSA) in non-metastatic prostate cancer patients. Methods: Ovid Medline, EMBASE, Cochrane Central Register of Controlled Trials (CENTRAL), and Scopus databaseswere searched from inception to March 2024. Dietary interventions or observational studies investigating dietary patterns in men with non-metastatic prostate cancer with at least one primary outcome related to mortality, recurrence, remission, quality of life or PSA/PSA doubling time were included. Two independent reviewers conducted article selection, data extraction, and quality assessment. Results: Sixteen eligible articles were included. Adherence to a Mediterranean dietary pattern was linked to lower overall mortality and increased quality of life and adherence to a Prudent diet was associated with both lower overall and cancer-specific mortality risk. A plant-based dietary pattern is associated with increased quality of life. Contrastingly, a Western diet was associated with a higher cancer-specific mortality and overall mortality and high-inflammatory, hyperinsulinaemic, and insulin-resistant diets with increased recurrence. Conclusions: Despite the heterogeneity and inconsistencies of PCa literature, there is fair evidence that suggests unprocessed foods with healthier dietary patterns of Mediterranean and prudent diets confer a beneficial effect on overall and cancer-specific mortality, recurrence, and quality of life whereas, a more Western and unhealthier diet generates the opposite. The increased risk of bias prevents conclusive interpretation of these results and, hence, detracts from its clinical implementation. Future research should focus on increasing sample sizes and robustness and standardisation in study design. Full article

We investigated the clinical significance of positive surgical margins (PSMs) in index tumors following radical prostatectomy (RP), with particular attention to the tumor’s zonal origin. Among 1148 patients with localized prostate cancer who underwent RPs, 973 were included after excluding those who received perioperative therapy or had incomplete data. Index tumors were categorized by zonal origin: transition zone, peripheral zone, or central zone (CZ). Overall, PSMs were observed in 26.4% of index tumors. Although CZ index tumors were relatively uncommon (6.5%), they exhibited the highest PSM rate (42.9%) and showed the most aggressive pathological features. The 5-year biochemical recurrence (BCR)-free survival rate was significantly lower in patients with PSMs in index tumors than in those with negative surgical margins (45.6% vs. 86.8%, p < 0.0001). Notably, patients with PSMs in CZ index tumors had the worst outcomes, with a 5-year BCR-free survival rate of 22.0%. Multivariate analysis identified PSMs in index tumors as an independent predictor of BCR (HR: 3.4; 95% CI: 2.5–4.5), with a similar trend observed in early recurrence. These findings highlight the prognostic significance of PSMs in index tumors during RP, especially in CZ tumors, and emphasize the importance of securing local control in these cases. Full article

Purpose: Despite increasing rates of prostate cancer among men, prostate cancer risk assessments continue to rely on invasive laboratory tests like prostate-specific antigen and Gleason score tests. This study aimed to develop a noninvasive, data-driven risk model for patients to evaluate themselves before deciding whether to visit a hospital. Materials and Methods: To train the model, data from the National Health Insurance Sharing Service cohort datasets, comprising 347,575 individuals, including 1928 with malignant neoplasms of the prostate, 5 with malignant neoplasms of the penis, 18 with malignant neoplasms of the testis, and 14 with malignant neoplasms of the epididymis, were used. The risk model harnessed easily accessible inputs, such as history of treatment for diseases including stroke, heart disease, and cancer; height; weight; exercise days per week; and duration of smoking. An additional 286,727 public datasets were obtained from the National Health Insurance Sharing Service, which included 434 (0.15%) prostate cancer incidences. Results: The risk calculator was built based on Cox proportional hazards regression, and I validated the model by calibration using predictions and observations. The concordance index was 0.573. Additional calibration of the risk calculator was performed to ensure confidence in accuracy verification. Ultimately, the actual proof showed a sensitivity of 60 (60.5) for identifying a high-risk population. Conclusions: The feasibility of the model to evaluate prostate cancer risk without invasive tests was demonstrated using a public dataset. As a tool for individuals to use before hospital visits, this model could improve public health and reduce social expenses for medical treatment. Full article

Background: Accurate upfront risk stratification in suspected clinically significant prostate cancer (csPCa) may reduce unnecessary prostate biopsies. Integrating clinical and Magnetic Resonance Imaging (MRI) variables using deep learning could improve prediction. Methods: We retrospectively analysed 538 men who underwent MRI and biopsy between April 2019-September 2024. A fully connected neural network was trained using 5-fold cross-validation. Model 1 included clinical features (age, prostate-specific antigen [PSA], PSA density, digital rectal examination, family history, prior negative biopsy, and ongoing therapy). Model 2 used MRI-derived Prostate Imaging Reporting and Data System (PI-RADS) categories. Model 3 used all previous variables as well as lesion size, location, and prostate volume as determined on MRI. Results: Model 3 achieved the highest area under the receiver operating characteristic curve (AUC = 0.822), followed by Model 2 (AUC = 0.778) and Model 1 (AUC = 0.716). Sensitivities for detecting clinically significant prostate cancer (csPCa) were 87.4%, 91.6%, and 86.8% for Models 1, 2, and 3, respectively. Although Model 3 had slightly lower sensitivity than Model 2, it showed higher specificity, reducing false positives and avoiding 43.4% and 21.2% more biopsies compared to Models 1 and 2. Decision curve analysis showed M2 had the highest net benefit at risk thresholds ≤ 20%, while M3 was superior above 20%. Conclusions: Model 3 improved csPCa risk stratification, particularly in biopsy-averse settings, while Model 2 was more effective in cancer-averse scenarios. These models support personalized, context-sensitive biopsy decisions. Full article

Background and Clinical Significance: Brenner tumors are rare epithelial tumors that can occur in both males and females. They consist of ovarian transition cells surrounded by dense fibrous tissue and can be classified as benign, borderline, or malignant. While most commonly found in the ovary, extraovarian Brenner tumors (EOBTs) have been reported in the uterus, vagina, broad ligament, and omentum. Case Presentation: A 71-year-old postmenopausal woman presented with a polypous formation on the upper third of the posterior vaginal wall, which was found at a routine health check. Macroscopically, the lesion appeared as a solid, polypoid mass with a yellowish-gray cut surface, measuring approximately 25 × 20 mm. Histological examination revealed a polypoid formation covered by stratified squamous epithelium, with a dense fibrous stroma (Van Gieson [VG]+) and tubular structures lined by clear epithelial cells. Parenchymal cells showed low proliferative activity, with Ki-67 expression in less than 5% of cells, also Cytokeratin (CK) 7/+/p63:/+/ CK AE1/AE3: /+/ Estrogen Receptor (ER): /+/ and Progesterone Receptor (PR)/−/; CK20/-/; p53/−/, Wilms’ Tumor (WT)-1/−/; Prostate-Specific Acid Phosphatase (PSAP)/−/. The final diagnosis was an extraovarian Brenner tumor. The patient was monitored for two months post-excision, with no signs of recurrence. Conclusions: EOBTs are extremely rarely seen and vaginal involvement is far less common. Due to their rarity, these tumors may be confused with other benign or malignant vaginal lesions. In order to differentiate EOBTs from other neoplasms, histological analysis is crucial due to their characteristic transitional-type epithelium and large fibrous stroma. Further studies are required to understand the origin and clinical behavior of EOBTs. Long-term monitoring should be performed to look for any recurrence or malignant change, even though benign Brenner tumors usually have a good prognosis. Awareness of EOBTs and their possible locations is essential for accurate diagnosis and appropriate management. Full article

Objective: Early diagnosis and treatment of metastatic pericardial disease are crucial to prevent the life-threatening complication of cardiac tamponade. Thin Layer Cytology (TLC), a widely adopted technique in cytology, has gained significant acceptance for most specimens. Our study aimed to assess the utility of TLC in diagnosing metastatic neoplasms and their origins in pericardial effusions, as well as monitoring response to chemotherapy. Methods: We examined 184 pericardial fluids collected by pericardiocentesis and processed using the ThinPrep liquid-based technique. Various immunocytochemical markers were used to determine the site of metastatic neoplasms. We also evaluated the response to therapy in 53 patients with lung and breast cancer. Results: Out of 184 specimens, 113 pericardial fluids were diagnosed as positive for malignancy, while 71 were negative. Twenty-three cases of unknown primary site were included in the total positive cases. Ninety cases positive for malignancy had a known primary site of origin, including 31 lung carcinomas, 22 breast carcinomas, 10 ovarian carcinomas, 6 T-cell lymphomas, 3 urinary bladder carcinomas, 4 renal carcinomas, 5 adenocarcinomas of the colon, 5 prostate carcinomas, 2 parotid adenocarcinomas, and 2 melanomas. Regarding the 53 cases with chemotherapy treatment, the cytologic examination of pericardial fluid showed a remarkable reduction in neoplastic burden after the third dose of cisplatin or thiotepa instilled into the pericardial cavity. ThinPrep provided excellent preservation of cytomorphological features, high cellularity per slide, and a clear background. This comprehensive analysis provides crucial information about the types and distribution of cancerous cells present in the samples. Conclusions: Thin Layer Cytology (TLC) is a valuable diagnostic tool for detecting metastatic pericardial malignancy. It allows the examination of exfoliated cells from the pericardial fluid, providing crucial information for diagnosis, management, and monitoring the acute responsiveness to intrapericardial chemotherapy. Immunocytochemistry (IHC) can identify specific markers for various types of cancer, enabling a more accurate diagnosis and guiding further treatment decisions. Full article

Background/Objective: Prostate cancer (PCa) represents the second-most common cancer among men worldwide. Obesity is generally considered as a risk factor for cancer and it has been associated with a 20–30% increased risk of PCa death. The present systematic review and meta-analyses aimed to highlight any existing trends between prostate neoplasm stages according to normal weight, overweight and obesity conditions. Methods: All interventional records such as randomized clinical trials, quasi-experimental studies and observational studies were included in the present systematic review and meta-analysis which reported PCa stages according to Gleason (GS) or TNM scores according to the BMI-related incidence, as normal weight, overweight and obesity groups. Results: Twenty-nine studies were included in the present study. As regards the GS scoring system, 1.09% of high grade in GS was reported among PCa normal weights. Among PCa overweights, 0.98% of low grade was registered in GS. The same trend was recorded among obese PCa patients, since 0.79% of low grade in GS was also registered. As regards TNM scores, both normal weight, overweight and obese PCa patients registered a significant incidence in non-advanced TNM score, without any significant differences considering higher TNM assessments. Conclusions: Although the literature seemed to be more in favor of associations between BMI and GS, no specific mechanisms were highlighted between obesity and PCa progression. In this regard, the low androgen microenvironment in obese men could play an important role, but further studies will be necessary in this direction. Full article

Background/Objectives: Anastomosing hemangioma (AH) is a rare, benign vascular tumor predominantly found in the genitourinary tract and often associated with impaired renal function. Due to its nonspecific radiological features, AH is frequently misinterpreted as a malignant vascular neoplasm, particularly angiosarcoma (AS), leading to potentially unnecessary surgical interventions. This study presents a systematic review of AH cases and describes a rare instance of retroperitoneal AH arising from the left gonadal vein, which was resected due to diagnostic uncertainty. Methods: A 68-year-old man underwent imaging for benign prostatic hyperplasia, incidentally revealing a 15-mm hypervascular retroperitoneal nodule adjacent to the left psoas muscle. Imaging findings, including moderate metabolic uptake on 18FDG-PET/CT, raised suspicion for AS. Given the diagnostic uncertainty and high-risk location, the multidisciplinary team (MDT) recommended surgical resection. Laparoscopic excision was performed, and histopathological analysis confirmed AH. The patient remained asymptomatic at a 22 month follow-up. In addition, a systematic review of 159 cases from 64 studies (2009–2024) was conducted to analyze radiological features, treatment approaches, and outcomes. Results: Among the reviewed cases, 68% were incidentally diagnosed, with AH occurring predominantly in the genitourinary system (70%), especially in the kidney, adrenal gland, and ovary. Chronic kidney disease (CKD) was present in 23.3% of cases, while 19.5% had a history of malignancy. Imaging was inconclusive in differentiating AH from malignancies: CT (71.9%) and MRI (6.1%) were the most used modalities, but none could reliably exclude AS. Management strategies included upfront surgical resection in 85%, while a growing proportion (9%) of cases underwent biopsy-based observation rather than immediate surgery. No cases were followed with imaging alone. Conclusions: AH remains a diagnostic challenge due to its overlap with malignant vascular tumors. While surgical excision is often performed, our review highlights an increasing trend toward conservative management with biopsy-based diagnosis. Improved awareness and the integration of histopathology, molecular markers, and MDT-based decision-making are crucial to prevent overtreatment in cases of suspected AH. Full article

Background: Robot-assisted radical prostatectomy (RARP) is a common treatment option for prostate cancer. A 3D model for surgical guidance can improve surgical outcomes. Manual expert radiologist segmentation of the prostate and tumor in prostate MRI to create 3D models is labor-intensive and prone to inter-observer variability, highlighting the need for automated segmentation methods. Methods: This study evaluates the performance of the prostate and tumor segmentation using a commercially available AI tool without (fully automated) and with manual adjustment (AI-assisted) compared to manual segmentations on 120 patients, using several metrics, including Dice Coefficient and Hausdorff distance. Tumor detection rates were assessed with recall and precision. Results: For the prostate, both the fully automated AI model and AI-assisted model achieved a mean Dice score of 0.88, while AI-assisted had a lower Hausdorff distance (7.22 mm) compared to the fully automated (7.40 mm). For tumor segmentations, the Dice scores were 0.53 and 0.62, with Hausdorff distances of 9.53 mm and 6.62 mm obtained for fully automated AI and AI-assisted methods, respectively. The fully automated AI method had a recall of 0.74 and a precision of 0.76 in tumor detection, while the AI-assisted method achieved 0.95 recall and 0.94 precision. Fully automated segmentation required less than 1 min, while adjustments for the AI-assisted segmentation took an additional 81 s, and manual segmentation took approximately 15–30 min. Conclusions: The fully automated AI model shows promising results, offering high tumor detection rates and acceptable segmentation metrics. The AI-assisted strategy improved the relevant metrics with minimal additional time investment. Therefore, the AI-assisted segmentation method is promising for allowing 3D-model-guided surgery for all patients undergoing RARP. Full article

Metastatic hormone-sensitive prostate cancer (mHSPCa) presents de novo or represents significant disease progression and requires systemic treatment. However, progression to castration resistance is inevitable. The treatment landscape has evolved with the introduction of intensified systemic therapy, including androgen deprivation therapy (ADT) combined with either androgen receptor signaling inhibitors (ARSIs) or cytotoxic chemotherapy (doublet therapy) or combined therapy with both agents (triplet therapy). Landmark trials such as CHAARTED, STAMPEDE, LATITUDE, ENZAMET, and TITAN have established combination therapies as the standard of care, demonstrating significant overall survival benefits. More recently, triplet therapy—integrating ADT, docetaxel, and an ARSI—has emerged as an effective approach, particularly in high-volume metastatic disease, as supported by ARASENS and PEACE-1. Advances in imaging, such as PSMA PET-CT, have improved disease detection, allowing earlier detection of metastasis and appropriate therapy. Similarly, genomic profiling has enabled biomarker-driven, personalized treatment strategies. The role of treatment of the primary tumor, by either radiation therapy or cytoreductive prostatectomy, in low-volume disease continues to be explored. As novel therapies, targeted agents, and immunotherapies undergo investigation, optimizing treatment selection based on disease burden, molecular characteristics, and patient factors will be essential. The future of mHSPCa management lies in multidisciplinary, precision-based approaches to improve patient outcomes while balancing treatment efficacy and tolerability. Full article

Prostate cancer (PCa), especially metastatic castration-resistant prostate cancer (mCRPC), is a significant cancer characterized by its poor prognosis and limited treatment options. Prostate-specific membrane antigen (PSMA) has emerged as a diagnostic and therapeutic target for PCa due to its restricted expression in malignant prostate tissues. In this case, several PSMA-targeting molecules were developed for radiotherapy and immunotherapy. Antibody–drug conjugates (ADCs) are a novel therapeutic approach for various carcinomas that can selectively target PSMA-positive tumor cells and minimize off-target toxicity. ADCs have made great progress in the treatment of breast and bladder cancers, and some have received FDA approval for target therapy. However, studies on PSMA ADCs are limited, and most clinical trials are at stage I or II. Therefore, this study reviewed trials about PSMA-targeting ADCs for the treatment of PCa. Clinical trials have reported a favorable pharmacokinetic profile and antitumor activity. Toxicity studies have revealed manageable adverse effects, with no significant off-target toxicity in PSMA-negative tissues. This study highlights the therapeutic potential of PSMA ADCs for the treatment of mCRPC. However, it also emphasizes the necessity of further clinical investigation to optimize efficacy, safety, and patient outcomes. Full article