The implications of hormone treatment for cancer risk, screening and treatment in transgender individuals.

There is evidence that gender-affirming hormone treatment (GAHT) for transgender individuals modulates their risk for specific malignancies including breast and prostate cancer, and meningiomas. However, there is insufficient data to make precise risk estimates accounting for age and inherited cancer risk. As such, screening recommendations remain broad. Even less evidence exists for best practice in the management of active or historical cancers in the transgender population. Guidance is therefore mainly extrapolated from cisgender populations but with considerations of the significant benefits of GAHT in the face of any hormonal risk. Clinical experience, the multidisciplinary team and shared decision making with the patient are vital in providing person-centred care, while further research is acquired.

Prostate cancer risk assessment and avoidance of prostate biopsies using fully automatic deep learning in prostate MRI: comparison to PI-RADS and integration with clinical data in nomograms.

OBJECTIVES: Risk calculators (RCs) improve patient selection for prostate biopsy with clinical/demographic information, recently with prostate MRI using the prostate imaging reporting and data system (PI-RADS). Fully-automated deep learning (DL) analyzes MRI data independently, and has been shown to be on par with clinical radiologists, but has yet to be incorporated into RCs. The goal of this study is to re-assess the diagnostic quality of RCs, the impact of replacing PI-RADS with DL predictions, and potential performance gains by adding DL besides PI-RADS. MATERIAL AND METHODS: One thousand six hundred twenty-seven consecutive examinations from 2014 to 2021 were included in this retrospective single-center study, including 517 exams withheld for RC testing. Board-certified radiologists assessed PI-RADS during clinical routine, then systematic and MRI/Ultrasound-fusion biopsies provided histopathological ground truth for significant prostate cancer (sPC). nnUNet-based DL ensembles were trained on biparametric MRI predicting the presence of sPC lesions (UNet-probability) and a PI-RADS-analogous five-point scale (UNet-Likert). Previously published RCs were validated as is; with PI-RADS substituted by UNet-Likert (UNet-Likert-substituted RC); and with both UNet-probability and PI-RADS (UNet-probability-extended RC). Together with a newly fitted RC using clinical data, PI-RADS and UNet-probability, existing RCs were compared by receiver-operating characteristics, calibration, and decision-curve analysis. RESULTS: Diagnostic performance remained stable for UNet-Likert-substituted RCs. DL contained complementary diagnostic information to PI-RADS. The newly-fitted RC spared 49% [252/517] of biopsies while maintaining the negative predictive value (94%), compared to PI-RADS ≥ 4 cut-off which spared 37% [190/517] (p < 0.001). CONCLUSIONS: Incorporating DL as an independent diagnostic marker for RCs can improve patient stratification before biopsy, as there is complementary information in DL features and clinical PI-RADS assessment. CLINICAL RELEVANCE STATEMENT: For patients with positive prostate screening results, a comprehensive diagnostic workup, including prostate MRI, DL analysis, and individual classification using nomograms can identify patients with minimal prostate cancer risk, as they benefit less from the more invasive biopsy procedure. KEY POINTS: The current MRI-based nomograms result in many negative prostate biopsies. The addition of DL to nomograms with clinical data and PI-RADS improves patient stratification before biopsy. Fully automatic DL can be substituted for PI-RADS without sacrificing the quality of nomogram predictions. Prostate nomograms show cancer detection ability comparable to previous validation studies while being suitable for the addition of DL analysis.

The Role of Baseline Prostate-specific Antigen Value Prior to Age 60 in Predicting Lethal Prostate Cancer: Analysis of a Contemporary North American Cohort.

BACKGROUND AND OBJECTIVE: Studies evaluating the role of baseline midlife prostate-specific antigen (PSA) as a predictor of development and progression of prostate cancer relied predominately on cohorts from the pre-PSA screening introduction era. The aim of our study was to examine the role of baseline PSA prior to the age of 60 yr as a predictor of developing lethal prostate cancer using a contemporary North American cohort. METHODS: Our cohort included all men aged 40-59 yr who received their first PSA through our health system between the years 1995 and 2019. Patients were divided into four categories based on age: 40-44, 45-49, 50-54, and 55-59 yr. Baseline PSA was the predictor of interest. Lethal disease was defined as death from prostate cancer or development of metastatic disease either at diagnosis or during follow-up. Cancer-specific mortality and overall mortality were obtained by linking our database to the Michigan Vital Records registry. Competing-risk regression was used to evaluate the association between PSA and lethal prostate cancer. KEY FINDINGS AND LIMITATIONS: A total of 129067 men met the inclusion criteria during the study period. The median follow-up for patients free from cancer was 7.4 yr. For men aged 40-44, 45-49, 50-54, and 55-59 yr, the estimated rates of lethal prostate cancer at 20 yr were 0.02%, 0.14%, 0.33%, and 0.51% in men with PSA

Analysis of risk factors for disease progression after salvage radiation therapy with androgen deprivation therapy in prostate cancer patients who have prostate-specific antigen persistence after radical prostatectomy.

PURPOSE: To assess risk factors of disease progression after salvage radiation therapy (SRT) with androgen deprivation therapy (ADT) in case of prostate-specific antigen (PSA) persistence after radical prostatectomy (RP). MATERIALS AND METHODS: We analyzed 57 patients who received SRT with ADT between 2013 and 2019 due to PSA persistence after RP. The endpoint was disease progression defined by biochemical recurrence or clinical recurrence. Age, Pre-RP PSA level, Gleason score, pathologic stage, presence of pelvic lymph node dissection, surgical margins, and PSA at 6-8 weeks after RP were analyzed as predictive factors for disease progression. Kaplan-Meier method and Cox regression models were used for data analysis. RESULTS: At a median follow-up of 38 months (interquartile range, 26-61), 17 patients had disease progression. Pathologic T stage (pT3b vs. pT3a or lower; hazard ratio [HR] = 9.20; p = 0.035) and PSA level at 6-8 weeks after RP (≥2.04 vs. <2.04 ng/mL; HR = 5.85; p = 0.002) were predictors of disease progression. The 5-year disease progression-free survival rate was 46.7% in pT3b group as compared to 92.9 % in pT3a or lower group, and 18.4% for PSA ≥2.04 ng/mL after RP as compared to 79.2% for PSA <2.04 ng/mL. CONCLUSION: Pathological T stage (pT3b) and post RP PSA ≥2.04 ng/mL are independent risk factors of disease progression after SRT with ADT in patients with PSA persistence after RP.

Hypofractionated radiation therapy combined with androgen deprivation therapy for clinically node-positive prostate cancer.

PURPOSE: This study aimed to analyze the treatment outcomes of combined definitive radiation therapy (RT) and androgen deprivation therapy (ADT) for clinically node-positive prostate cancer. MATERIALS AND METHODS: Medical records of 60 patients with clinically suspected metastatic lymph nodes on radiological examination were retrospectively analyzed. Eight patients (13.3%) were suspected to have metastatic common iliac or para-aortic lymph nodes. All patients underwent definitive RT with a dose fractionation of 70 Gy in 28 fractions. ADT was initiated 2-3 months before RT and continued for at least 2 years. Biochemical failure rate (BFR), clinical failure rate (CFR), overall survival (OS), and prostate cancer-specific survival (PCSS) were calculated, and genitourinary and gastrointestinal adverse events were recorded. RESULTS: The median follow-up period was 5.47 years. The 5-year BFR, CFR, OS, and PCSS rates were 19.1%, 11.3%, 89.0%, and 98.2%, respectively. The median duration of ADT was 2.30 years. BFR and CFR increased after 3 years, and 11 out of 14 biochemical failures occurred after the cessation of ADT. Grade 2 and beyond late genitourinary and gastrointestinal toxicity rates were 5.0% and 13.3%, respectively. However, only two grade 3 adverse events were reported, and no grade 4-5 adverse events were reported. Patients with non-regional lymph node metastases did not have worse BFR, CFR, or adverse event rates. CONCLUSION: This study reported the efficacy and tolerable toxicity of hypofractionated definitive RT combined with ADT for clinically node-positive prostate cancer. Additionally, selected patients with adjacent non-regional lymph node metastases might be able to undergo definitive RT combined with ADT.

Use of Decipher Prostate Biopsy Test in Patients with Favorable-risk Disease Undergoing Conservative Management or Radical Prostatectomy in the Surveillance, Epidemiology, and End Results Registry.

BACKGROUND AND OBJECTIVE: The extent of prostate cancer found on biopsy, as well as prostate cancer grade and genomic tests, can affect clinical decision-making. The impact of these factors on the initial management approach and subsequent patient outcomes for men with favorable-grade prostate cancer has not yet been determined on a population level. Our objective was to explore the association of Decipher 22-gene genomic classifier (GC) biopsy testing on the initial use of conservative management versus radical prostatectomy (RP) and to determine the independent effect of GC scores on RP pathologic outcomes. METHODS: A total of 87 140 patients diagnosed with grade group 1 and 2 prostate cancer between 2016 and 2018 from the Surveillance, Epidemiology, and End Results registry data were linked to GC testing results (2576 tested and 84 564 untested with a GC). The primary endpoints of interest were receipt of conservative management or RP, pathologic upgrading (pathologic grade group 3-5), upstaging (pathologic ≥T3b), and adverse pathologic features (pathologic upgrading, upstaging, or lymph node invasion). Multivariable logistic regressions quantified the association of variables with outcomes of interest. KEY FINDINGS AND LIMITATIONS: GC tested patients were more likely to have grade group 2 on biopsy (51% vs 46%, p < 0.001) and lower prostate-specific antigen (6.1 vs 6.3, p = 0.016). Conservative management increased from 37% to 39% and from 22% to 24% during 2016-2018 for the GC tested and untested populations, respectively. GC testing was significantly associated with increased odds of conservative management (odds ratio [OR] 2.1, 95% confidence interval [CI] 1.9-2.4, p < 0.001). The distribution of biopsy GC risk was as follows: 45% low risk, 30% intermediate risk, and 25% high risk. In adjusted analyses, higher GC (per 0.1 increment) scores (OR 1.24, 95% CI 1.17-1.31, p < 0.001) and percent positive cores (1.07, 95% CI 1.02-1.12, p = 0.009) were significantly associated with the receipt of RP. A higher GC score was significantly associated with all adverse outcomes (pathologic upgrading [OR 1.29, 95% CI 1.12-1.49, p < 0.001], upstaging [OR 1.31, 95% CI 1.05-1.62, p = 0.020], and adverse pathology [OR 1.27, 95% CI 1.12-1.45, p < 0.001]). Limitations include observational biases associated with the retrospective study design. CONCLUSIONS AND CLINICAL IMPLICATIONS: Men who underwent GC testing were more likely to undergo conservative management. GC testing at biopsy is prognostic of adverse pathologic outcomes in a large population-based registry. PATIENT SUMMARY: In this population analysis of men with favorable-risk prostate cancer, those who underwent genomic testing at biopsy were more likely to undergo conservative management. Of men who initially underwent radical prostatectomy, higher genomic risk but not tumor volume was associated with adverse pathologic outcomes. The use of genomic testing at prostate biopsy improves risk stratification and may better inform treatment decisions than the use of tumor volume alone.

Controversies in prostate cancer management: Consensus recommendations from experts in northern Spain.

In recent years, various aspects of prostate cancer (PC) management have undergone significant changes, including the implementation of therapeutic strategies such as the use of new hormonal agents like abiraterone, apalutamide, enzalutamide or darolutamide and the incorporation of next generation imaging techniques (NGI). However, the evidence regarding the role of NGI and the therapeutic decision-making based on their findings is not solid. Following the methodology of the Advanced Prostate Cancer Consensus Conference (APCCC), a multidisciplinary expert consensus was developed to address controversial questions concerning the use of NGI and clinical management in four priority scenarios: localized PC, PC after radical prostatectomy, PC after radiotherapy with curative intent, and metastatic hormone-sensitive PC. This consensus represents the opinions of medical oncology, radiation oncology and urology physicians and provides useful recommendations for clinical practice.

Inguinal lymph node metastases from prostate cancer: clinical, pathology, and multimodality imaging considerations.

Objective: To investigate clinical, pathology, and imaging findings associated with inguinal lymph node (LN) metastases in patients with prostate cancer (PCa). Materials and Methods: This was a retrospective single-center study of patients with PCa who underwent imaging and inguinal LN biopsy between 2000 and 2023. We assessed the following aspects on multimodality imaging: inguinal LN morphology; extrainguinal lymphadenopathy; the extent of primary and recurrent tumors; and non-nodal metastases. Imaging, clinical, and pathology features were compared between patients with and without metastatic inguinal LNs. Results: We evaluated 79 patients, of whom 38 (48.1%) had pathology-proven inguinal LN metastasis. Certain imaging aspects- short-axis diameter, prostate-specific membrane antigen uptake on positron-emission tomography, membranous urethra involvement by the tumor, extra-inguinal lymphadenopathy, and distant metastases-were associated with pathology-proven inguinal LN metastases (p < 0.01 for all). Associations with long-axis diameter, fatty hilum, laterality, and uptake of other tracers on positronemission tomography were not significant (p = 0.09-1.00). The patients with metastatic inguinal LNs had higher prostate-specific antigen levels and more commonly had castration-resistant PCa (p < 0.01), whereas age, histological grade, and treatment type were not significant factors (p = 0.07-0.37). None of the patients had inguinal LN metastasis in the absence of locally advanced disease with membranous urethra involvement or distant metastasis. Conclusion: Several imaging, clinical, and pathology features are associated with inguinal LN metastases in patients with PCa. Isolated metastasis to inguinal LNs is extremely rare and unlikely to occur in the absence of high-risk imaging, clinical, or pathology features.

Objetivo: Investigar achados clinicopatológicos e de imagem associados a metástases linfonodais inguinais em pacientes com câncer de próstata (CaP). Materiais e Métodos: Estudo retrospectivo de uma única instituição de pacientes com CaP submetidos a exames de imagem e biópsia inguinal de linfonodos em 2000­2023. A imagem multimodalidade foi avaliada para morfologia inguinal do linfonodo, linfadenopatia fora da região inguinal, extensão do CaP primário/recorrente e sítios metastáticos não nodais. Características de imagem e clinicopatológicas foram comparadas entre pacientes com e sem linfonodos inguinais metastáticos pela patologia. Resultados: Entre 79 pacientes estudados, 38 (48,1%) apresentaram metástase inguinal de linfonodo comprovada patologicamente. Certos achados de imagem ­ diâmetro do eixo curto, captação do antígeno de membrana prostático específico na tomografia por emissão de pósitrons, envolvimento da uretra membranosa pelo tumor, linfadenopatia fora da região inguinal e metástases a distância ­ foram associados com metástases inguinais no linfonodo pela patologia (p < 0,01). Diâmetro de eixo longo, hilo gorduroso, lateralidade, captação em outros traçadores de tomografia por emissão de pósitrons não foram significativos (p = 0,09­1,00). Clinicopatologicamente, os pacientes com linfonodos inguinais metastáticos apresentaram maior antígeno prostático específico e foram mais resistentes à castração (p < 0,01); idade, grau histológico e tipo de tratamento não foram estatisticamente significantes (p = 0,07­0,37). Nenhum paciente apresentou metástase inguinal isolada no linfonodo na ausência de doença localmente avançada com envolvimento da uretra membranosa ou metástase a distância. Conclusão: Várias características de imagem e clinicopatológicas foram associadas a metástases em LNs inguinais em pacientes com CaP. A metástase isolada para os LNs inguinais é extremamente rara e é improvável que ocorra na ausência de características de imagem e clinicopatológicas de alto risco.

Cost-effectiveness analysis of rezvilutamide versus bicalutamide in the treatment of metastatic hormone-sensitive prostate cancer.

OBJECTIVES: The economic implications of combining rezvilutamide with androgen deprivation therapy (ADT) remain uncertain, despite the observed survival advantages compared with bicalutamide plus ADT. Therefore, this study evaluates the cost-effectiveness of rezvilutamide plus ADT as the first-line treatment of metastatic hormone-sensitive prostate cancer (mHSPC) from the perspective of the Chinese healthcare system. DESIGN: A partitioned survival model was developed to assess the cost-effectiveness of rezvilutamide combined with ADT. Clinical data were obtained from the CHART trial. Costs and utility values were obtained from local estimate and published literature. Only direct medical costs were included in the model. INTERVENTIONS: Rezvilutamide was administered at 240 mg daily or bicalutamide at 50 mg daily until progression. OUTCOME MEASURES: The main outputs of the model included costs and quality-adjusted life years (QALYs), which were used to determine the incremental cost-effectiveness ratio (ICER). One-way and probabilistic sensitivity analysis (PSA) were used to explore model uncertainties. RESULTS: The rezvilutamide group showed an expected gain of 2.28 QALYs and an incremental cost of US$60 758.82 compared with the bicalutamide group. The ICER for rezvilutamide group versus bicalutamide group was US$26 656.94 per QALY. The variables with the greatest impact on the model results were the utility for progression-free survival state and the price of rezvilutamide. PSA revealed that rezvilutamide group had 100% probability of being cost-effective at a willingness-to-pay threshold of US$35707.5 per QALY. CONCLUSION: Rezvilutamide in combination with ADT is more cost-effective compared with bicalutamide plus ADT as the first-line treatment of mHSPC from the perspective of the Chinese healthcare system.

Deep learning-based image quality assessment: impact on detection accuracy of prostate cancer extraprostatic extension on MRI.

OBJECTIVE: To assess impact of image quality on prostate cancer extraprostatic extension (EPE) detection on MRI using a deep learning-based AI algorithm. MATERIALS AND METHODS: This retrospective, single institution study included patients who were imaged with mpMRI and subsequently underwent radical prostatectomy from June 2007 to August 2022. One genitourinary radiologist prospectively evaluated each patient using the NCI EPE grading system. Each T2WI was classified as low- or high-quality by a previously developed AI algorithm. Fisher's exact tests were performed to compare EPE detection metrics between low- and high-quality images. Univariable and multivariable analyses were conducted to assess the predictive value of image quality for pathological EPE. RESULTS: A total of 773 consecutive patients (median age 61 [IQR 56-67] years) were evaluated. At radical prostatectomy, 23% (180/773) of patients had EPE at pathology, and 41% (131/318) of positive EPE calls on mpMRI were confirmed to have EPE. The AI algorithm classified 36% (280/773) of T2WIs as low-quality and 64% (493/773) as high-quality. For EPE grade ≥ 1, high-quality T2WI significantly improved specificity for EPE detection (72% [95% CI 67-76%] vs. 63% [95% CI 56-69%], P = 0.03), but did not significantly affect sensitivity (72% [95% CI 62-80%] vs. 75% [95% CI 63-85%]), positive predictive value (44% [95% CI 39-49%] vs. 38% [95% CI 32-43%]), or negative predictive value (89% [95% CI 86-92%] vs. 89% [95% CI 85-93%]). Sensitivity, specificity, PPV, and NPV for EPE grades ≥ 2 and ≥ 3 did not show significant differences attributable to imaging quality. For NCI EPE grade 1, high-quality images (OR 3.05, 95% CI 1.54-5.86; P < 0.001) demonstrated a stronger association with pathologic EPE than low-quality images (OR 1.76, 95% CI 0.63-4.24; P = 0.24). CONCLUSION: Our study successfully employed a deep learning-based AI algorithm to classify image quality of prostate MRI and demonstrated that better quality T2WI was associated with more accurate prediction of EPE at final pathology.

Clinical characteristics and predictors of long-term postoperative urinary incontinence in patients treated with robot-assisted radical prostatectomy: A propensity-matched analysis.

OBJECTIVES: This study aimed to elucidate the clinical characteristics and predictors of long-term postoperative urinary incontinence (PUI) after robot-assisted radical prostatectomy (RARP). METHODS: This study included patients who underwent RARP at our institution and were stratified into PUI (≥1 pad/day) and continence (0 pad/day) groups at 60 months after RARP. A propensity score-matched analysis with multiple preoperative urinary status (Expanded Prostate Cancer Index Composite urinary subdomains, total International Prostate Symptom Score (IPSS), and IPSS-quality of life scores) was performed to match preoperative urinary status in these groups. Serial changes in urinary status and treatment satisfaction preoperatively and until 60 months after RARP were compared, and predictors of long-term PUI were assessed using multivariate logistic regression analysis. RESULTS: A total of 228 patients were included in the PUI and continence groups (114 patients each). Although no significant difference in preoperative urinary status was observed between the two groups, the postoperative urinary status significantly worsened overall in the PUI group than in the continence group. Treatment satisfaction was also significantly lower in the PUI group than in the continence group from 12 to 60 months postoperatively. Multivariate logistic regression analysis revealed that age (≥70 years) and biochemical recurrence (BCR) were significant predictors of the long-term PUI group (p < 0.05). CONCLUSIONS: Patients with long-term PUI had poor overall postoperative urinary status and lower treatment satisfaction than the continence group. Considering the age and risk of BCR is important for predicting long-term PUI when performing RARP.

Retrospective analysis of the learning curve in perineal robot-assisted prostate biopsy.

INTRODUCTION: Magnetic resonance imaging-transrectal ultrasound (MRI-TRUS)-fusion biopsy (FBx) of the prostate allows targeted sampling of suspicious lesions within the prostate, identified by multiparametric MRI. Due to its reliable results and feasibility, perineal MRI/TRUS FBx is now the gold standard for prostate cancer (PC) diagnosis. There are various systems for performing FBx on the market, for example, software-based, semirobotic, or robot-assisted platform solutions. Their semiautomated workflow promises high process quality independent of the surgeon's experience. The aim of this study was to analyze how the surgeon's experience influences the cancer detection rate (CDR) via targeted biopsy (TB) and the procedure's duration in robot-assisted FBx. PATIENTS AND METHODS: A total of 1716 men who underwent robot-assisted FBx involving a combination of targeted and systematic sampling between October 2015 and April 2022 were analyzed. We extracted data from the patients' electronic medical records retrospectively. Primary endpoints were the CDR by TB and the procedure's duration. For our analysis, surgeons were divided into three levels of experience: ≤20 procedures (little), 21-100 procedures (intermediate), and >100 procedures (high). Statistical analysis was performed via regression analyses and group comparisons. RESULTS: Median age, prostate-specific antigen level, and prostate volume of the cohort were 67 (±7.7) years, 8.13 (±9.4) ng/mL, and 53 (±34.2) mL, respectively. Median duration of the procedure was 26 (±10.9) min. The duration decreased significantly with the surgeon's increasing experience from 35.1 (little experience) to 28.4 (intermediate experience) to 24.0 min (high experience) (p < 0.001). Using TB only, significant PC (sPC) was diagnosed in 872/1758 (49.6%) of the men. The CDR revealed no significant correlation with the surgeon's experience in either group comparison (p = 0.907) or in regression analysis (p = 0.65). CONCLUSION: While the duration of this procedure decreases with increasing experience, the detection rate of sPC in TB is not significantly associated with the experience of the surgeon performing robot-assisted FBx. This robot-assisted biopsy system's diagnostic accuracy therefore appears to be independent of experience.

Prostate MRI and artificial intelligence during active surveillance: should we jump on the bandwagon?

OBJECTIVE: To review the components of past and present active surveillance (AS) protocols, provide an overview of the current studies employing artificial intelligence (AI) in AS of prostate cancer, discuss the current challenges of AI in AS, and offer recommendations for future research. METHODS: Research studies on the topic of MRI-based AI were reviewed to summarize current possibilities and diagnostic accuracies for AI methods in the context of AS. Established guidelines were used to identify possibilities for future refinement using AI. RESULTS: Preliminary results show the role of AI in a range of diagnostic tasks in AS populations, including the localization, follow-up, and prognostication of prostate cancer. Current evidence is insufficient to support a shift to AI-based AS, with studies being limited by small dataset sizes, heterogeneous inclusion and outcome definitions, or lacking appropriate benchmarks. CONCLUSION: The AI-based integration of prostate MRI is a direction that promises substantial benefits for AS in the future, but evidence is currently insufficient to support implementation. Studies with standardized inclusion criteria and standardized progression definitions are needed to support this. The increasing inclusion of patients in AS protocols and the incorporation of MRI as a scheduled examination in AS protocols may help to alleviate these challenges in future studies. CLINICAL RELEVANCE STATEMENT: This manuscript provides an overview of available evidence for the integration of prostate MRI and AI in active surveillance, addressing its potential for clinical optimizations in the context of established guidelines, while highlighting the main challenges for implementation. KEY POINTS: Active surveillance is currently based on diagnostic tests such as PSA, biopsy, and imaging. Prostate MRI and AI demonstrate promising diagnostic accuracy across a variety of tasks, including the localization, follow-up and risk estimation in active surveillance cohorts. A transition to AI-based active surveillance is not currently realistic; larger studies using standardized inclusion criteria and outcomes are necessary to improve and validate existing evidence.

Evaluation of the clinical application value of cytokine expression profiles in the differential diagnosis of prostate cancer.

BACKGROUND: The significance of tumor-secreted cytokines in tumor development has gained substantial attention. Nevertheless, the precise role of tumor-related inflammatory cytokines in prostate cancer (PCa) remains ambiguous. OBJECTIVES: To gain deeper insights into the inflammatory response in the process of PCa. METHODS: A total of 233 cases were collected, including 80 cases of prostate hyperplasia as disease control, 65 cases of postoperative prostate cancer and 36 cases of prostate cancer as PCa group. Additionally, 52 patients undergoing physical examinations during the same period were collected as the healthy control. The levels of 12 inflammatory cytokines in peripheral blood samples were analyzed using flow cytometric bead array technology. The levels of total prostate-specific antigen (TPSA) and free prostate-specific antigen (FPSA) in peripheral blood samples were analyzed using electrochemiluminescence technology. RESULTS: Our findings revealed significant increases in serum IL-8 levels in PCa group compared to the healthy control group. Additionally, IL-6, IL-10, IFN-γ and IL-12p70 levels were markedly elevated in the PCa group compared to the disease control group (all p < 0.05). Conversely, the level of IL-4, TNF-α, IL-1ß, IL-17A and IFN-α were lower in the PCa group compared to those in control group. Following surgery, the concentration of IL-6 decreased; whereas, the concentrations of IL-4, TNF-α, IL-17A, IL-1ß, IL-12p70, and IFN-α increased, demonstrating significant differences (p < 0.05). The differential upregulation of IL-6 or downregulation of IL-17A in peripheral blood exhibited diagnostic efficacy in PCa patients. Moreover, we observed a significant increase in IL-17A levels, accompanied by decreased of IL-2, IL-4, IL-10, TNF-a, IFN-γ, IL-1ß, and IL-12P70 in patients with distant metastasis. CONCLUSION: The peripheral blood cytokines are closely associated with the occurrence and development of prostate cancer, especially the serum levels of IL-6 and IL-17A may be useful as potential predictors of PCa diagnosis.

Predicting Clinically Significant Prostate Cancer Using Urine Metabolomics via Liquid Chromatography Mass Spectrometry.

PURPOSE: Biomarkers predicting clinically significant prostate cancer (sPC) before biopsy are currently lacking. This study aimed to develop a non-invasive urine test to predict sPC in at-risk men using urinary metabolomic profiles. MATERIALS AND METHODS: Urine samples from 934 at-risk subjects and 268 treatment-naïve PC patients were subjected to liquid chromatography/mass spectrophotometry (LC-MS)-based metabolomics profiling using both C18 and hydrophilic interaction liquid chromatography (HILIC) column analyses. Four models were constructed (training cohort [n=647]) and validated (validation cohort [n=344]) for different purposes. Model I differentiates PC from benign cases. Models II, III, and a Gleason score model (model GS) predict sPC that is defined as National Comprehensive Cancer Network (NCCN)-categorized favorable-intermediate risk group or higher (Model II), unfavorable-intermediate risk group or higher (Model III), and GS ≥7 PC (model GS), respectively. The metabolomic panels and predicting models were constructed using logistic regression and Akaike information criterion. RESULTS: The best metabolomic panels from the HILIC column include 25, 27, 28 and 26 metabolites in Models I, II, III, and GS, respectively, with area under the curve (AUC) values ranging between 0.82 and 0.91 in the training cohort and between 0.77 and 0.86 in the validation cohort. The combination of the metabolomic panels and five baseline clinical factors that include serum prostate-specific antigen, age, family history of PC, previously negative biopsy, and abnormal digital rectal examination results significantly increased AUCs (range 0.88-0.91). At 90% sensitivity (validation cohort), 33%, 34%, 41%, and 36% of unnecessary biopsies were avoided in Models I, II, III, and GS, respectively. The above results were successfully validated using LC-MS with the C18 column. CONCLUSIONS: Urinary metabolomic profiles with baseline clinical factors may accurately predict sPC in men with elevated risk before biopsy.

Improving Distress Screening for People with Prostate Cancer: Evaluation of an E-Learning Course to Increase Healthcare Professionals' Knowledge.

OBJECTIVES: Psychological distress can occur following diagnosis and treatment for prostate cancer, compromising psychosocial wellbeing. Improved recognition and management of distress by healthcare professionals can enhance clinical practice and promote evidence-based prostate cancer care. This paper explores the effectiveness and feasibility of the online Distress Screening for Prostate Cancer course, designed to improve healthcare professionals' understanding of screening for prostate cancer-related distress. It aims to evaluate whether this e-learning course increases learners' knowledge of distress screening for prostate cancer. METHODS: Healthcare professionals were invited to enroll in the online course and complete optional evaluation questions. The pretest posttest design identified changes in learners' knowledge about distress screening for people with prostate cancer, including prevalence, risk factors, assessment and management strategies for distress (n = 149). Learners also rated satisfaction in a cross-sectional survey (n = 116). Most respondents were nurses, including Prostate Cancer Specialist Nurses. RESULTS: Learners' knowledge of distress screening was higher after course completion. Improvement between pre- and posttest results was statistically significant for four of ten items, including risk of prostate cancer-related distress, and suicidality, and the purpose of distress screening. Learners reported high satisfaction with course content, structure, engagement, relevance, and approach. They particularly valued the narrative-based approach and interactivity. Small numbers encountered technological problems and some offered suggestions to improve learner feedback. CONCLUSIONS: The course improved healthcare professionals' knowledge of distress among people affected by prostate cancer. Learners found the e-learning format feasible and acceptable. IMPLICATIONS FOR NURSING PRACTICE: Deeper understanding of the psychological implications of diagnosis and treatment of prostate cancer can help healthcare professionals respond to and manage distress among men and their families, and provide supportive care to improve health-related quality of life. Access to an online course can offer effective, feasible education on distress screening.

Acceptability of a virtual prostate cancer survivorship care model in rural Australia: A multi-methods, single-centre feasibility pilot.

DESIGN: A multi-methods, single-centre pilot comprising a quasi-experimental pre-/post-test design and an exploratory qualitative study. SETTING: A rural Australian hospital and health service. PARTICIPANTS: Men newly diagnosed with localised prostate cancer who were scheduled to undergo, or had undergone, radical or robotic prostatectomy surgery within the previous 3 months. INTERVENTION: The intervention comprised a 12-week virtual care program delivered via teleconference by a specialist nurse, using a pre-existing connected care platform. The program was tailored to the post-operative recovery journey targeting post-operative care, psychoeducation, problem-solving and goal setting. MAIN OUTCOME MEASURES: Primary outcome: program acceptability. SECONDARY OUTCOMES: quality of life; prostate cancer-related distress; insomnia severity; fatigue severity; measured at baseline (T1); immediately post-intervention (T2); and 12 weeks post-intervention (T3). RESULTS: Seventeen participants completed the program. The program intervention showed very high levels (≥4/5) of acceptability, appropriateness and feasibility. At T1, 47% (n = 8) of men reported clinically significant psychological distress, which had significantly decreased by T3 (p = 0.020). There was a significant improvement in urinary irritative/obstructive symptoms (p = 0.030) and a corresponding decrease in urinary function burden (p = 0.005) from T1 to T3. CONCLUSIONS: This pilot has shown that a tailored nurse-led virtual care program, incorporating post-surgical follow-up and integrated low-intensity psychosocial care, is both acceptable to rural participants and feasible in terms of implementation and impact on patient outcomes.

Can a nomogram predict apical prostate cancer pathology upgrade from fusion biopsy to final pathology? A multicenter study.

BACKGROUND: This study evaluates the efficacy of a nomogram for predicting the pathology upgrade of apical prostate cancer (PCa). METHODS: A total of 754 eligible patients were diagnosed with apical PCa through combined systematic and magnetic resonance imaging (MRI)-targeted prostate biopsy followed by radical prostatectomy (RP) were retrospectively identified from two hospitals (training: 754, internal validation: 182, internal-external validation: 148). A nomogram for the identification of apical tumors in high-risk pathology upgrades through comparing the results of biopsy and RP was established incorporating statistically significant risk factors based on univariable and multivariable logistic regression. The nomogram's performance was assessed via the receiver operating characteristic (ROC) curve, calibration plots, and decision curve analysis (DCA). RESULTS: Univariable and multivariable analysis identified age, targeted biopsy, number of targeted cores, TNM stage, and the prostate imaging-reporting and data system score as significant predictors of apical tumor pathological progression. Our nomogram, based on these variables, demonstrated ROC curves for pathology upgrade with values of 0.883 (95% CI, 0.847-0.929), 0.865 (95% CI, 0.790-0.945), and 0.840 (95% CI, 0.742-0.904) for the training, internal validation and internal-external validation cohorts respectively. Calibration curves showed good consistency between the predicted and actual outcomes. The validation groups also showed great generalizability with the calibration curves. DCA results also demonstrated excellent performance for our nomogram with positive benefit across a threshold probability range of 0-0.9 for the training and internal validation group, and 0-0.6 for the internal-external validation group. CONCLUSION: The nomogram, integrating clinical, radiological, and pathological data, effectively predicts the risk of pathology upgrade in apical PCa tumors. It holds significant potential to guide clinicians in optimizing the surgical management of these patients.

Transition-zone PSA-density calculated from MRI deep learning prostate zonal segmentation model for prediction of clinically significant prostate cancer.

PURPOSE: To develop a deep learning (DL) zonal segmentation model of prostate MR from T2-weighted images and evaluate TZ-PSAD for prediction of the presence of csPCa (Gleason score of 7 or higher) compared to PSAD. METHODS: 1020 patients with a prostate MRI were randomly selected to develop a DL zonal segmentation model. Test dataset included 20 cases in which 2 radiologists manually segmented both the peripheral zone (PZ) and TZ. Pair-wise Dice index was calculated for each zone. For the prediction of csPCa using PSAD and TZ-PSAD, we used 3461 consecutive MRI exams performed in patients without a history of prostate cancer, with pathological confirmation and available PSA values, but not used in the development of the segmentation model as internal test set and 1460 MRI exams from PI-CAI challenge as external test set. PSAD and TZ-PSAD were calculated from the segmentation model output. The area under the receiver operating curve (AUC) was compared between PSAD and TZ-PSAD using univariate and multivariate analysis (adjusts age) with the DeLong test. RESULTS: Dice scores of the model against two radiologists were 0.87/0.87 and 0.74/0.72 for TZ and PZ, while those between the two radiologists were 0.88 for TZ and 0.75 for PZ. For the prediction of csPCa, the AUCs of TZPSAD were significantly higher than those of PSAD in both internal test set (univariate analysis, 0.75 vs. 0.73, p < 0.001; multivariate analysis, 0.80 vs. 0.78, p < 0.001) and external test set (univariate analysis, 0.76 vs. 0.74, p < 0.001; multivariate analysis, 0.77 vs. 0.75, p < 0.001 in external test set). CONCLUSION: DL model-derived zonal segmentation facilitates the practical measurement of TZ-PSAD and shows it to be a slightly better predictor of csPCa compared to the conventional PSAD. Use of TZ-PSAD may increase the sensitivity of detecting csPCa by 2-5% for a commonly used specificity level.