Serum Prostate-specific Antigen Levels Research Articles

PSMA PET/CT for treatment response evaluation at predefined time points is superior to PSA response for predicting survival in metastatic castration-resistant prostate cancer patients

BackgroundIn metastatic castration-resistant prostate cancer (mCRPC), using serum prostate-specific antigen (PSA) levels to evaluate treatment response is not always accurate. This study aimed to assess the efficacy of PSMA PET/CT at specific time points for evaluating treatment response and predicting survival in mCRPC patients, compared to PSA. MethodsSixty mCRPC patients underwent [18F]PSMA-1007 PET/CT at baseline and for treatment response evaluation of either androgen receptor-targeted agents (after 3 months) or chemotherapy (after completion), and were retrospectively analysed. Visual assessment categorised overall response and response of the worst responding lesion as partial response, stable disease, or progressive disease, using the EAU/EANM criteria. Additionally, percentage changes in SUVmax, total tumour volume and total lesion uptake (tumour volume * SUVmean) were calculated. PSA response was defined according to the PCWG3 criteria. Cox regression analysis identified predictors of overall survival. ResultsPSMA PET/CT and PSA response were discordant in 47 % of patients, and PSMA PET/CT response was worse in 89 % of these cases. Overall response on PSMA PET/CT independently predicted overall survival (progression versus non-progression: HR = 4.05, p < 0.001), outperforming PSA response (progression versus non-progression: HR = 2.53, p = 0.010) and other PSMA PET/CT parameters. Among patients with a PSA decline of > 50 %, 31 % showed progressive disease on PSMA PET/CT, correlating with higher mortality risk (progression versus non-progression: HR = 4.38, p = 0.008). No flare in PSMA uptake was observed in this cohort. ConclusionsPSMA PET/CT for assessing treatment response at predefined time points was superior to PSA-based response for predicting overall survival in mCRPC patients treated with androgen receptor-targeted agents and chemotherapy. PSMA PET/CT showed the ability to detect disease progression earlier than PSA levels, which can affect treatment decisions and has the potential to improve patient outcomes. We recommend further research to validate these findings in larger patient cohorts, to extend the number of treatments, and to evaluate cost-effectiveness and impact on patient outcomes.

Does the hemodialysis program affect the prostate-specific antigen (PSA) serum levels in patients with end-stage renal disease (ESRD)? A cross-sectional descriptive study.

This study aims to investigate the effect of high-flux membrane hemodialysis on total prostate-specific antigen (tPSA) serum levels in hemodialysis patients and to evaluate the clinical significance of any observed changes. A cross-sectional descriptive study was conducted involving 75 hemodialysis patients at An-Najah National University Hospital. tPSA and hematocrit (Hct) serum levels were measured before and after one hemodialysis session. The correlation between changes in tPSA and Hct levels was analyzed using the Statistical Package for Social Sciences (SPSS). The mean age of the patients was 54.25 ± 15.27 years, with a mean hemodialysis duration of 40 ± 38 months. The mean tPSA levels before and after hemodialysis were 0.95 ± 0.81 ng/ml and 1.15 ± 0.96 ng/ml, respectively. Significant increases were observed in both tPSA (t = -3.264, p = 0.002) and Hct levels (t = -7.861, p < 0.001). The percentage changes in tPSA and Hct were 20% and 12%, respectively, with no significant correlation between the changes (r = 0.152, p = 0.215). Hemodialysis significantly elevates tPSA serum levels; however, no significant correlation was found between changes in tPSA and Hct. None of the patients showed clinically significant elevations in tPSA that would necessitate prostate biopsy. Therefore, high-flux membrane hemodialysis does not appear to compromise the diagnostic value of tPSA in hemodialysis patients.

Androgen Receptor Signaling Inhibitor Withdrawal Syndrome After Castration-resistant Prostate Cancer.

Androgen-deprivation therapy is an extremely effective treatment for progressive prostate cancer. Previously, the first-line treatment for progressive prostate cancer was combined androgen blockade (CAB). If the disease progressed to castration-resistant prostate cancer, the administration of androgen receptor signaling inhibitors (ARSIs) was recommended. When elevated serum prostate-specific antigen (PSA) levels are seen during CAB treatment, it is important to suspect antiandrogen withdrawal syndrome (AWS), discontinue CAB, and monitor the changes in the serum PSA levels. If a reduction in the patient's PSA levels is subsequently observed, antiandrogens should be discontinued and the patient should be followed, but if their PSA level rises they should be transitioned to ARSI treatment. Recently, there have been reports of withdrawal syndrome (WS) after ARSI treatment. With the increased use of ARSIs, such as abiraterone acetate, enzalutamide, apalutamide, and dalorutamide, it is necessary to consider ARSI WS when a patient's serum PSA level increases during ARSI treatment. Unnecessary treatment can be avoided if the confirmation of ARSI WS is prioritized. Conversely, if it is not confirmed there is a risk that second-line treatment will be delayed. This is a review of recent studies of ARSI WS. It also discusses future prospects in this field.

Prostate-specific antigen, digital rectal examination, and prostate cancer detection: A study based on more than 7000 transrectal ultrasound-guided prostate biopsies in Ghana

Purpose of the studyThis study aims to determine the role of serum prostate-specific antigen (PSA) levels and digital rectal examination (DRE) in predicting the histological outcomes of prostate biopsies by analyzing a database of over 7000 patients who underwent transrectal ultrasound (TRUS)-guided prostate biopsies. MethodsWe conducted a retrospective analysis of men who underwent TRUS-guided prostate biopsies at Korle Bu Teaching Hospital, a tertiary referral center in Accra, Ghana, from July 2005 to December 2022. The biopsies, which included 10 to 12 core samples, were prompted by PSA levels greater than 4.0 ng/mL, abnormal DRE findings, or both. We then correlated histopathology results with PSA and DRE findings. ResultsOut of 7,338 patients who presented for biopsy, 76.3% were between the ages of 60 and 79. Histology reports were available for 5,289 patients, of whom 2,564 (48.5%) were diagnosed with prostate cancer. Cancer detection rates based on PSA levels were as follows: 21.6% for PSA <4 ng/mL, 21.7% for PSA 4-10 ng/mL, 32.7% for PSA 10-20 ng/mL, 53.0% for PSA 20-50 ng/mL, 71.5% for PSA 50-100 ng/mL, and 92.0% for PSA >100 ng/mL. When DRE findings were classified according to the 2016 TNM System (AJCC 8th Edition) as T1, T2, T3, and T4, cancer detection rates were 26.8%, 51.8%, 87.6%, and 95.7%, respectively. The overall cancer detection rate was significantly higher with abnormal DRE findings (64.6% vs. 26.7%, p < 0.001). Additionally, 78.2% of the detected cancers were high-grade (Gleason score of 7 or more). ConclusionThis extensive study of Ghanaian men undergoing TRUS biopsies reveals a high prostate cancer detection rate, with nearly 80% of the detected cancers being high-grade. These findings underscore the importance of PSA and DRE in the early detection of prostate cancer and should be considered in patient counseling and discussions regarding the implementation of prostate cancer screening programs in this population.

Nomogram Analysis for Predicting Response to Androgen-Receptor-Axis-Targeted Therapies in Patients With Metastatic Castration-Resistant Prostate Cancer.

This study aimed to identify the clinical predictors for the response of patients with mCRPC to ARATs. We retrospectively collected data on consecutive patients who were diagnosed with mCRPC and underwent ARAT treatment during this stage of the disease. Clinical parameters were obtained through medical chart reviews. ARAT failure was defined as a continuous increase in the serum prostate-specific antigen (PSA) level above nadir to > 2 ng/mL, accompanied by radiographic progression. ARAT failure-free survival and overall survival were assessed through Kaplan-Meier survival analysis and Cox regression survival analysis. Nomogram analysis based on significant predictors of ARAT failure-free survival was performed. In total, 319 patients with mCRPC who underwent ARAT were included. Multivariate analysis revealed that age, International Society of Urological Pathology (ISUP) grading, and chemotherapy-naïve status were significant predictors of ARAT failure-free survival. For overall survival, age, ISUP grading, and nadir PSA level during androgen deprivation therapy (ADT) were significant predictors. Through nomogram analysis based on age, ISUP grading, and chemotherapy-naïve status, the likelihood of ARAT duration being more or less than 1 year could be predicted. For mCRPC patients, being older, having ISUP Grade 5 cancer, and having a history of chemotherapy were associated with a shorter duration of response to next-line ARATs. Therefore, other therapeutic agents should be prioritized for such patients. Notably, among the included patients, those who were older, had a higher ISUP grade and a higher nadir PSA level during ADT exhibited worse overall survival.

Patient-specific prostate tumour growth simulation: a first step towards the digital twin.

Prostate cancer (PCa) is a major world-wide health concern. Current diagnostic methods involve Prostate-Specific Antigen (PSA) blood tests, biopsies, and Magnetic Resonance Imaging (MRI) to assess cancer aggressiveness and guide treatment decisions. MRI aligns with in silico medicine, as patient-specific image biomarkers can be obtained, contributing towards the development of digital twins for clinical practice. This work presents a novel framework to create a personalized PCa model by integrating clinical MRI data, such as the prostate and tumour geometry, the initial distribution of cells and the vasculature, so a full representation of the whole prostate is obtained. On top of the personalized model construction, our approach simulates and predicts temporal tumour growth in the prostate through the Finite Element Method, coupling the dynamics of tumour growth and the transport of oxygen, and incorporating cellular processes such as proliferation, differentiation, and apoptosis. In addition, our approach includes the simulation of the PSA dynamics, which allows to evaluate tumour growth through the PSA patient's levels. To obtain the model parameters, a multi-objective optimization process is performed to adjust the best parameters for two patients simultaneously. This framework is validated by means of data from four patients with several MRI follow-ups. The diagnosis MRI allows the model creation and initialization, while subsequent MRI-based data provide additional information to validate computational predictions. The model predicts prostate and tumour volumes growth, along with serum PSA levels. This work represents a preliminary step towards the creation of digital twins for PCa patients, providing personalized insights into tumour growth.

G-Protein-Coupled Receptor-Associated Sorting Protein 1 Overexpression Is Involved in the Progression of Benign Prostatic Hyperplasia, Early-Stage Prostatic Malignant Diseases, and Prostate Cancer.

Background/Objectives: Prostate cancer (PCa) is a prevalent malignancy, necessitating accurate diagnostic methods to distinguish it from benign conditions such as benign prostatic hyperplasia (BPH). Current diagnostic tools, relying primarily on serum prostate-specific antigen (PSA) levels, lack specificity, leading to an over-diagnosis and unnecessary treatment of patients with benign conditions. This study explores G-protein-coupled receptor-associated sorting protein 1 (GASP-1) as a more sensitive biomarker for PCa detection. Methods: Prostate tissue microarrays of healthy, BPH, and prostate cancer patients with different Gleason scores were studied. Polyclonal antibodies targeted against GASP-1 were used for routine immunohistochemistry (IHC) and enzyme-linked immunosorbent assay (ELISA) analyses. Results: The results indicated a 5-fold difference in serum GASP-1 levels between BPH and PCa, which was validated through GASP-1 IHC. Furthermore, a novel scoring system, the H-score, assesses GASP-1 granules' intensity and size, revealing a clear distinction between BPH and PCa. An additional analysis of GASP-1 expression between PCa cases with different Gleason scores reveals that GASP-1 overexpression correlates with PCa severity, providing insights into disease progression. Conclusions: The study supports GASP-1's role as a promising diagnostic marker, supplementing PSA testing, and offering improved risk stratification for PCa. Additionally, an open-source software system is introduced for an efficient GASP-1 granule color analysis, enhancing diagnostic accuracy.

The Role of Digital Rectal Examination for Early Detection of Significant Prostate Cancer in the Era of Magnetic Resonance Imaging

The role of digital rectal examination (DRE) in the early detection of significant prostate cancer (PCa) is being questioned in the era of magnetic resonance imaging (MRI). However, some men with suspected PCa may still be identified solely through DRE, even with low serum prostate-specific antigen (PSA) levels. Additionally, most predictive models designed to improve significant PCa diagnostic pathways incorporate DRE findings. We assessed the role of DRE among 5005 men with serum PSA levels &gt; 3.0 ng/mL and/or suspicious DRE findings, who underwent pre-biopsy MRI and targeted and/or systematic biopsies, as part of the significant PCa opportunistic screening program in Catalonia (Spain) between 2016 and 2023. Significant PCa, defined as grade group &gt; 2, was detected in 2097 men (41.9%). Suspicion of PCa was based solely on DRE in 206 cases (4.1%) with significant PCa detected in 50 of them (2.4%). Two pathways using the Barcelona predictive models, before and after MRI, with and without DRE findings showed specificities of 52.8 and 38.7%, respectively (p &lt; 0.001), after fixing sensitivity at 90%. Prostate biopsy was avoided in 35.1 and 26.7%, respectively (p &lt; 0.001), while its efficacy increased from 52.8 to 58%. We conclude that DRE improved the effectiveness of an opportunistic significant PCa-screening program.

Prognostic Role of PSMA-Targeted Imaging in Metastatic Castration-Resistant Prostate Cancer: An Overview.

Prostate-specific membrane antigen (PSMA) positron emission tomography/computed tomography (PET/CT) has gained a primary role in prostate cancer (PCa) imaging, overcoming conventional imaging and prostate-specific antigen (PSA) serum levels, and has recently emerged as a promising technique for monitoring therapy response in metastatic castration-resistant prostate cancer (mCRPC) patients treated with novel hormonal therapy, taxanes, and radioligand therapy (RLT). In this review, we aim to provide an overview of the most relevant aspects under study and future prospects related to the prognostic role of PSMA PET/CT in mCRPC. A systematic literature search was performed in the following databases: MEDLINE, PubMed, and EMBASE databases. The study focused exclusively on English-language studies, excluding papers not pertinent to the topic. PSMA PET imaging offers a higher sensitivity and specificity than conventional imaging and provides accurate staging and efficient diagnosis of distant metastases. The data presented herein highlight the usefulness of PET in risk stratification, with a prognostic potential that can have a significant impact on clinical practice. Several prospective trials are ongoing and will shortly provide more evidence supporting the prognostic potential of PET PSMA data in this clinical scenario. Current evidence proves the prognostic role of PSMA PET/CT in different settings, with raising relevance also in the context of mCRPC.

Assessment of age specific serum Prostate Specific Antigen (PSA) levels for Indian population: A retrospective analysis at a tertiary healthcare facility.

Prostate-specific antigen (PSA) is a key marker for prostate cancer screening, but its utility is debated, prompting exploration of PSA derivatives for improved accuracy. While racial variations in serum PSA levels are documented, limited data exists for the Indian population. Given increasing life expectancy and heightened awareness of prostate cancer, this study aims to establish age-specific PSA ranges in an Indian cohort, contributing vital insights for population-specific screening and diagnosis. A cross-sectional study was conducted on 4860 men with lower urinary tract symptoms (LUTS). Data, collected from April 2016 to March 2023, included age, PSA levels, digital rectal examination (DRE), and biopsy results. Statistical analysis involved Spearman's correlation, descriptive statistics, and confidence intervals. Of the studied participants, 809 underwent prostatic biopsy, revealing malignancy in 500 cases. Age-specific PSA values were studied in 4170 subjects and showed positive correlation with increasing age and prostate size. Most cancers were metastatic (66%), emphasizing the need for early detection. Age-specific PSA ranges were lower in the Indian population compared to the West. This study's Indian cohort exhibited higher PSA values than some previous Indian studies but lower than Western populations, aligning with global trends. The rising incidence of prostate cancer in India underscores the importance of understanding the disease burden. PSA levels exhibit race-specific variations, cautioning against direct extrapolation of Western data to the Indian population. This study contributes age-specific PSA ranges for an Indian cohort, facilitating nuanced prostate cancer screening strategies.

ANALYSIS OF CD10 EXPRESSION IN PROSTATE ADENOCARCINOMA AND ITS CORRELATION WITH DIFFERENT CLINICOPATHOLOGICAL PARAMETERS AT RNTMC, UDAIPUR

Objective: The study aimed to analyze the expression of CD10 in prostate adenocarcinoma to aid in early diagnosis and anti-CD10 targeted therapy. Methods: This was a cross-sectional study conducted in the Histopathology section of the Department of Pathologyat RNTMC, Udaipur, after approval from the ethical committee and institutional review board. This study was conducted on 92 patients suspected to have prostate cancer. The cases were assessed for Gleason score, Gleason Grade, and Serum Prostate Specific Antigen (PSA) levels. We performed IHC detection of CD10 in prostatic specimens and correlated the various patterns of CD10 expression concerning histopathological diagnosis. Results: In our study, we found membranous expression in low-grade carcinomas with low Gleason score and grade. The high-grade carcinomas with high Gleason score and Grade predominantly showed cytoplasmic expression. The increased CD10 cytoplasmic expression was correlated with serum PSA level. Conclusion: In our study, CD10 was found to be relevant. The low-grade carcinomas showed membranous positivity and high-grade carcinomas showed cytoplasmic expression. One hypothesis states that cytoplasmic expression is due to the localization of CD10 in the cytoplasm. Our study favors this hypothesis as there is cytoplasmic expression in high-grade tumors. In the future, this could be used as a diagnostic marker.

B-347 Analytical Performance Evaluation of the High Sensitivity PSA Assay and the Free PSAII Assay on the Atellica IM Analyzer

Abstract Background Measurement of serum prostate specific antigen (PSA) levels may be used in prostate cancer (PC) screening, but elevated PSA levels also are observed in patients with other etiologies such as benign prostatic hypertrophy. Studies suggest that measuring PSA with or before digital rectal examination (DRE) provides a better method of detecting PC than DRE alone. The free prostate specific antigen (fPSA) assay is an aid for distinguishing PC from benign prostate conditions in men 50 years or older with PSA values 4.0-10.0 ng/mL (µg/L) and DRE findings nonsuspicious for PC. The goal of this study was to evaluate the analytical performance of the high sensitivity PSA (hsPSA)* and free PSA (fPSAII)* assays on the Atellica® IM Analyzer. Methods Detection capability studies were performed per CLSI EP17-A2. Precision testing was performed per CLSI EP05-A3 with native human serum and QC samples, 3 reagent lots, 1 analyzer, 2 runs/day, 2 replicates/run for 20 days. For Atellica® hsPSA and fPSAII assays a multi-site reproducibility study was conducted per CLSI EP-05 A3 using native and contrived serum samples, 3 reagent lots, and 3 different sites and analyzers; samples were assayed in triplicate for five days, two runs/day ∼2 hours apart. Linearity testing was performed per CLSI EP06-A on a dilution series made from a high PSA sample (native human male serum pool) and a low sample (native human female serum), 4 replicates, 3 reagent lots, and 1 analyzer. Specimen equivalency was determined by Weighted Deming regression model per CLSI EP09c-ed3. Results Results are presented in the table. Conclusions The Atellica IM hsPSA assay and fPSAII assays detection capability, precision, linearity, and specimen equivalency were acceptable. *CAUTION: Investigational Device. Not available for sale. Future availability cannot be guaranteed. The results are preliminary and were achieved in unique setting with no expected timeline for completion.

Loss of phosphatase and tensin homolog expression castration-sensitive prostate cancer predicts outcomes in men after prostatectomy.

This study aimed to investigate the potential for using the phosphatase and tensin homolog (PTEN) gene as a prognostic marker in post-prostatectomy patients with castration-sensitive prostate cancer (PCa). A total of 180 patients with castration-sensitive PCa who underwent radical prostatectomy at our institution were included in this study. PTEN expression was evaluated using immunohistochemistry, and patients were classified into two groups based on the staining intensity: PTEN-Normal and PTEN-Loss. The association between PTEN expression and biochemical recurrence was analyzed using the Cox proportional hazards model. Patients in the PTEN-Loss group had a higher risk of biochemical recurrence (hazard ratio, 4.642; 95% confidence interval, 2.137-10.083; p < 0.001) and a lower recurrence-free rate compared to the PTEN-Normal group (35% vs. 75%). In addition to clinicopathological factors, such as the serum prostate-specific antigen level, Gleason score, and T stage, evaluation of PTEN expression improved the prediction of biochemical recurrence after prostatectomy (area under the curve, 0.577 vs. 0.688). Low PTEN expression is a significant predictor of biochemical recurrence in patients with castration-sensitive PCa who have already undergone prostatectomy.

Fourier transform InfraRed spectra analyzed by multivariate and machine learning methods in determination spectroscopy marker of prostate cancer in dried serum

Prostate cancer represents the second most prevalent form of cancer in males globally. In the diagnosis of prostate cancer, the most commonly utilised biomarker is prostate-specific antigen (PSA). It is unfortunate that approximately 25 % of men with elevated PSA levels do not have cancer, and that approximately 20 % of patients with prostate cancer have normal serum PSA levels. Accordingly, a more sensitive methodology must still be identified. It is imperative that new diagnostic methods be non-invasive, cost-effective, rapid, and highly sensitive. Fourier transform infrared spectroscopy (FTIR) is a technique that fulfils all of the aforementioned criteria. Consequently, the present study used FTIR to assess dried serum samples obtained from a cohort of prostate cancer patients (n = 53) and a control group of healthy individuals (n = 40). Furthermore, this study proposes FTIR markers of prostate cancer obtained from serum. For this purpose, FTIR spectra of dried serum were measured and analysed using statistical, chemometric and machine learning (ML) algorithms including decision trees C5.0, Random Forest (RF), k-Nearest Neighbours (kNN) and Support Vector Machine (SVM). The FTIR spectra of serum collected from patients suffering from prostate cancer exhibited a reduced absorbance values of peaks derived from phospholipids, amides, and lipids. However, these differences were not statistically significant. Furthermore, principal component analysis (PCA) demonstrated that it is challenging to distinguish serum samples from healthy and non-healthy patients. The ML algorithms demonstrated that FTIR was capable of differentiating serum collected from both analysed groups of patients with high accuracy (values between 0.74 and 0.93 for the range from 800 cm−1 to 1800 cm−1 and around 0.70 and 1 for the range from 2800 cm−1 to 3000 cm−1), depending on the ML algorithms used. The results demonstrated that the peaks at 1637 cm−1 and 2851 cm−1 could serve as a FTIR marker for prostate cancer in serum samples. Furthermore, the correlation test indicated a clear correlation between these two wavenumbers and four of the five clinical parameters associated with prostate cancer. However, the relatively small number of samples collected only from patients over the age of 60 indicated that the results should be further investigated using a larger number of serum samples collected from a mean age range. In conclusion, this study demonstrated the potential of FTIR for the detection of prostate cancer in serum samples, highlighting the presence of distinctive spectroscopic markers associated with the analysed cancer type.

Synthetic Lethal Targeting of Cyclin Dependent Kinase-12-Deficient Prostate Cancer with PARP Inhibitors.

CDK12 is a cyclin-dependent kinase (CDK) that is mutated or amplified in multiple cancers. We previously described a subtype of prostate cancer (PC) characterized predominantly by frameshift, loss-of-function mutations in CDK12. This subtype exhibits aggressive clinical features. Using isogenic PC models generated by CRISPR/Cas9-mediated inactivation of CDK12, we conducted a chemical library screen of ~1800 FDA-approved drugs. We inhibited cyclin K and CDK13 and evaluated the effects on poly ADP-ribose polymerase inhibitor (PARPi) sensitivity. CDK12 truncation and kinase domain mutations were expressed in cell lines to determine effects on PARPi sensitivity. Mice bearing control and CDK12 mutant prostate tumors were treated with rucaparib. Finally, we evaluated prostate specific antigen (PSA) responses in patients with CDK12 mutations treated with rucaparib on the TRITON2 trial. Cancer cells lacking CDK12 are more sensitive to PARPi than isogenic wild-type cells, and sensitivity depends on the degree of CDK12 inhibition. Inhibiting cyclin K, but not CDK13, also led to PARPi sensitivity and suppressed homologous recombination. CDK12 truncation mutants remained sensitive to PARPi, whereas kinase domain mutants exhibited intermediate sensitivity. The PARPi rucaparib suppressed tumor growth in mice bearing CDK12-mutated tumors. Finally, 6 of 11 (55%) PC patients with biallelic CDK12 mutations had reductions in serum PSA levels when treated with rucaparib on the TRITON2 clinical trial. In PC, sensitivity to PARPi is dependent on the specific type and zygosity of the CDK12 mutation. PARPi monotherapy may have some activity in PC patients with biallelic inactivating CDK12 alterations.

Lifestyle and risk factors associated with elevated prostate-specific antigen levels in rural men: implications for health counseling.

The use of prostate-specific antigen (PSA) for early detection of prostate cancer (PCa) is common but controversial. In rural areas, PSA is widely used for screening because it is convenient and early-stage PCa often shows no symptoms. Studies suggest that PSA levels are linked to factors like unhealthy lifestyles, obesity, lack of exercise, inflammation, and aging. Proper use and interpretation of PSA are crucial for healthcare providers, especially in primary care settings. This study aims to explore the prevalence and factors linked to higher PSA levels in rural men. We conducted a community-based cross-sectional study from March to December 2023 in the western coastal region of Taiwan. Men aged 40-75 years participated, completing a lifestyle questionnaire and providing blood samples for cardiometabolic biomarkers and PSA levels. PSA levels of ≥ 4.0 ng/mL were considered elevated. We used propensity score matching (PSM) and genetic matching (GM) for analysis, followed by regression analysis. In total, 3347 male adults with a mean age of 56.3 years (SD=11.8, range 40-75), and without cancer-related diseases, were enrolled. Findings indicated that 3.9% (n=130) of men aged 40-75 years had a PSA ≥ 4 ng/mL. and many of them did not adopt health-related behaviors, including inadequate servings of vegetables, water intake, and engaging in regular exercise. Furthermore, more than half of the participants had high blood pressure, and over one-quarter exhibited a higher waist-hip ratio and cardiometabolic diseases. After employing propensity score matching (PSM) and genetic matching (GM) with respect to age and education, the multivariate logistic regression model indicated that less water intake (p<0.01), higher waist-hip ratio (> 0.95) (p<0.05), and being diagnosed with cardiometabolic diseases (p<0.05) were significantly associated with a higher serum PSA level. This study revealed that inadequate water intake and obesity related diseases are significant risk factors associated with elevated PSA levels among male adults living in rural areas. It is important for frontline healthcare providers to carefully interpret the meaning of a high PSA level. Additionally, launching a longitudinal study is necessary to further investigate its relation to PCa.

Clinical Value of Dual Tracer PET Imaging With 68Ga-PSMA and 18F-FDG in Patients With Metastatic Prostate Cancer

In this study, we retrospectively analyzed the imaging characteristics of dual-tracer 68Ga-prostate specific membrane antigen (PSMA) and 18F-flurodeoxyglucose (FDG) positron emission tomography (PET)/computed tomography (CT) in metastatic prostate cancer (mPCa) patients. We analyzed the uptake modes of the dual tracers, explored clinical pathological parameters affecting the 18F-FDG uptake in the lesions, and evaluated their prognostic implications for prostate specific antigen progression-free survival (PSA-PFS). A total of 41 mPCa patients who underwent dual-tracer PET/CT (68Ga-PSMA and 18F-FDG) scans between September 2021 and January 2024 were retrospectively enrolled. One patient had negative uptake of both PSMA and FDG. According to the uptake patterns of the 2 tracers, the other patients, 40 in total, were categorized in 2 groups, including group A consisting of 33 cases who showed PSMA and FDG dual and those who showed FDG only avidity, and group B consisting of 7 cases who showed PSMA avidity only. Comparative analyses of clinical pathological characteristics between group A and group B were conducted. The relationship between various parameters and PSA-PFS was analyzed by the Kaplan-Meier method. A total of 26 patients (63.4%) were diagnosed with metastatic castration-resistant prostate cancer (mCRPC), and 38 cases (92.7%) had a Gleason score of 8-9. Bone metastasis, the predominant type of distant metastasis, occurred in 36 cases (87.8%). The skeletal and distant lymph node metastases mostly showed a dual positive uptake pattern for both PSMA and FDG (85.7% [24/28] and 81.8% [9/11]). 37.5% (3/8) of the metastases to organs showed FDG only positive uptake pattern. The serum levels of prostate specific antigen (PSA) in group A were significantly higher than those in group B (P=0.013). A total of 13 patients of special pathological classification (intraductal carcinoma and neuroendocrine differentiation) were all found to be in group A. Among the 41 cases, 16 were lost to follow-up. Of the 25 patients who completed follow-up, 9 patients, with a median PSA value of 104 ng/mL, experienced PSA progression, while the 16 other patients, with a median PSA of 0.34 ng/mL, did not incur any PSA progression. There was significant difference in the median PSA between patients showing PSA progression and those who did not show PSA progression (P<0.001). Kaplan-Meier survival analysis revealed that the median PSA-PFS of patients of specific pathological classifications was 7 months, which was shorter than the 16 months of the patients with typical prostate cancer, with the difference between the two groups being statistically meaningful (P=0.043). The median PSA-PFS for group A was 30 months. With more than half of the patients in the group not experiencing any PSA progression, group B did not reach the median PSA-PFS (P=0.645). Dual-tracer PET/CT imaging with 68Ga-PSMA and 18F-FDG commonly exhibits avidity for both tracers in mPCa. Serum PSA level is a reliable biomarker for predicting FDG-positive lesions. mPCa presented with intraductal carcinoma and neuroendocrine differentiation tends to exhibit FDG avidity and is more susceptible to PSA progression.

Predictive values and relationships of serum PSA levels, delta neutrophil index, neutrophil-lymphocyte ratio and other hematological parameters in patients with acute prostatitis.

This study aimed to evaluate the predictive values and relationships of serum prostate-specific antigen (PSA) levels, delta neutrophil index (DNI), neutrophil-lymphocyte ratio (NLR), and other hematological parameters in patients diagnosed with acute prostatitis. Serum PSA levels and hemogram parameters of patients diagnosed with acute prostatitis were retrospectively analyzed. Healthy patients of the same age group were assigned to the control group. WBC, neutrophil, lymphocyte, thrombocyte (PLT), mean platelet volume (MPV), plateletcrit (PCT), NLR, and DNI were determined. Serum total PSA and C-reactive protein (CRP) levels were also assessed. Total PSA levels (3.48 [1.11-6.66]) in the acute prostatitis (AP) group were significantly higher than those of healthy men (0.82 [0.47-1.39]) (p < 0.001). Total CRP levels (3.88 [1.50-22.03]) in the AP group were significantly higher than those in healthy men (1.15 [0.89-2.00]) (p < 0.001). The sensitivity and specificity of PSA at a cutoff value of 1.52 were 68.4% and 79.7%, respectively. The NLR value in the AP group was 2.62 (1.87-4.42), compared to 1.63 (1.18-2.20) in the healthy group (p < 0.001). Differences in WBC, neutrophil, and lymphocyte counts were also statistically significant (p < 0.001). There were no significant differences in PLT, PCT, or DNI values. Significant positive correlations were observed between PSA, CRP, and DNI values (all p < 0.001). This study demonstrated the usefulness of NLR, PSA, CRP, and WBC as predictors of acute prostatitis. NLR is a simple, inexpensive inflammation parameter that correlates well with CRP levels.

Predictive Value of the Prostate-specific Antigen Doubling Time for the Effectiveness of Metastasis-directed Radiotherapy in Patients With Oligometastases After Radical Treatment for Non-metastatic Prostate Cancer.

Data on metastasis-directed radiotherapy (MDRT) are limited, particularly regarding its association with the prostate-specific antigen (PSA) doubling time (PSADT). The present study evaluated the oncological outcomes of MDRT on the basis of the PSADT in oligo-recurrent prostate cancer patients. We retrospectively reviewed clinical data of 35 MDRTs for 29 patients at the Kitasato University Hospital, targeting oligometastatic prostate cancer developed after radical treatment for non-metastatic prostate cancer. Thirty-five MDRTs were classified into the PSADT >3 months (n=25) or PSADT ≤3 months group (n=10). Statistical analyses were performed to compare associations between the two PSADT groups and oncological outcomes such as progression-free survival (PFS) and PSA response after MDRT. There were no significant differences between the two groups in terms of the clinicopathological features. Kaplan-Meier analysis showed that PFS was significantly better in the PSADT >3 months group than in the PSADT ≤3 months group [median: 13.3 versus (vs.) 2.6 months, p=0.046]. Regarding castration sensitivity, the predictive role of PSADT >3 months was maintained in 21 patients who received MDRT without prior salvage hormone therapy (median PFS: 12.7 vs. 2.6 months, p=0.024). In the castration-resistant setting (n=14), the frequency of a decrease in serum PSA levels after MDRT by 90% was 54.5% (median PFS: 23.1 months). MDRT can provide benefit especially for patients with PSADT ≥3 months who had oligo-recurrence after the radical treatment for non-metastatic prostate cancer.

Application of proton density fat fraction imaging in risk stratification of prostate cancer.

Prostate cancer (PCa) as one of the most prevalent malignancies in men. We introduced a non-invasive quantitative measurement of intraprostatic fat content based on magnetic resonance proton density fat fraction (PDFF) imaging. The study aims to determine the fat fraction (FF) of PCa using proton density magnetic resonance imaging (MRI), gather clinical and routine MRI characteristics, and identify risk factors for high-risk PCa through multifactorial logistic regression. Clinical and imaging data from 191 pathologically confirmed PCa patients were collected. Patients were stratified based on Gleason score (GS), with 63 in the intermediate- and low-risk group (GS =3+3, 3+4) and 128 in the high-risk group (GS ≥4+3). All patients underwent routine prostate MRI and FF imaging. Clinical and imaging data related to PCa were analyzed, including age, body mass index (BMI), prostate volume (PV) measured by MRI, smoking history, alcohol history, diabetes history, serum prostate-specific antigen (PSA) level, apparent diffusion coefficient (ADC) value, T2 signal intensity (T2SI), Prostate Imaging Reporting and Data System 2.1 (PI-RADS 2.1) score, GS, lesion FF, whole gland FF, periprostatic fat thickness (PPFT), and subcutaneous fat thickness (SFT). Independent risk factors for stratifying PCa risk were identified through multivariate logistic regression analysis, and a predictive model was established. Receiver operating characteristic (ROC) curve analysis was conducted for visual analysis. Significant differences were found in BMI, PV, PSA, tumor ADC value, standard T2SI, PI-RADS score, lesion FF, and PPFT between low- and medium-risk and high-risk groups (P<0.05). No significant differences were observed in age, smoking history, drinking history, diabetes history, and SFT between the two groups (P>0.05). GS correlated significantly with FF (ρ=0.6, P<0.001), PSA (ρ=0.432, P<0.001), ADC value (ρ=-0.379, P<0.001), and PI-RADS (ρ=0.366, P<0.001). Multiple logistic regression analysis revealed that an increase in FF, a PI-RADS score increase of 5 points, and a decrease in ADC value and PV were independent predictors of high-risk PCa (P<0.05). The ROC curve showed that the best cut-off value for the model was 0.67, with an area under the curve (AUC) of 0.907, sensitivity of 78.1%, and specificity of 88.9%. The FF of PCa determined by proton density MRI is significantly associated with GS, serving as an independent predictor of high-risk PCa.