Clinical outcomes and nadir prostate-specific antigen (PSA) according to initial PSA levels in primary androgen deprivation therapy for metastatic prostate cancer.

PURPOSE: To investigate the clinical outcomes of metastatic prostate cancer patients and the relationship between nadir prostate-specific antigen (PSA) levels and different types of primary androgen deprivation therapy (PADT). This study utilized data from the Japan Study Group of Prostate Cancer registry, which is a large, multicenter, population-based database. METHODS: A total of 2982 patients treated with PADT were enrolled. Kaplan-Meier analysis was used to compare progression-free survival (PFS) and overall survival (OS) in patients treated using combined androgen blockade (CAB) and non-CAB therapies. The relationships between nadir PSA levels and PADT type according to initial serum PSA levels were also investigated. RESULTS: Among the 2982 enrolled patients, 2101 (70.5 %) were treated with CAB. Although CAB-treated patients had worse clinical characteristics, their probability of PFS and OS was higher compared with those treated with a non-CAB therapy. These results were due to a survival benefit with CAB in patients with an initial PSA level of 500-1000 ng/mL. Nadir PSA levels were significantly lower in CAB patients than in non-CAB patients with comparable initial serum PSA levels. CONCLUSIONS: A small survival benefit for CAB in metastatic prostate cancer was demonstrated in a Japanese large-scale prospective cohort study. The clinical significance of nadir PSA levels following PADT was evident, but the predictive impact of PSA nadir on OS was different between CAB and non-CAB therapy.

Serum vitamin D and PSA in elderly men in Amirkola.

Background: Vitamin D is a modifiable risk factor in cancer and prostate diseases. In this study, we investigate the relationship between vitamin D and serum PSA in elderly men of Amirkola City. Methods: The current cross-sectional descriptive study was conducted on elderly men participating in the cohort study in Amirkola. Demographic information including age, sex, marital status and occupation were recorded and blood samples (5 cc of blood) were taken to measure PSA and vitamin D. A p -value less than 0.05 is statistically significant. Results: After applying the inclusion and exclusion criteria, 837 elderly men with mean age of 69.99 ± 7.72 years were included in the study. In terms of marital status, 779 (93.1%) were married and 59 (6.9%) were single. In the study of employment status, 476 (56.9%) self-employed, 331 (439.5%) retired, 8 (1.0 %) housewives, 14 (1.7%) unemployed and 8 (1.0 %) They were in an unknown situation. The mean level of vitamin D was 31.94 ± 28.57 ng / mL and the mean level of PSA was 1.94 ± 3.28 ng / dL. No significant relationship was found between vitamin D level and serum PSA in Pearson Correlation test (P = 0.16). Among the other variables studied, only age was related to PSA levels and PSA level increased with age (P = 0.001). Conclusion: No significant relationship was found between PSA serum level and vitamin D level, but the existence of vitamin D deficiency in most of the elderly studied needs attention.

Metastatic Prostate Cancer With Reticular Micronodular Opacities of Lung: A Case Report.

Prostate cancer, a common malignancy in males, can metastasize to various sites such as the bone, brain, liver, and less commonly, the lung. Detecting pulmonary metastases presents both diagnostic and therapeutic difficulties. Identifying patients with this condition is crucial for gaining a deeper comprehension of the disease's pathogenesis. In this report, we describe the case of a 64-year-old African American male who exhibited elevated prostate antigen levels and was found to have unique reticular Micronodular opacities in the lungs caused by prostate cancer.

Head-to-Head Comparison of [18F]F-choline and Imaging of Prostate-Specific Membrane Antigen, Using [18F]DCFPyL PET/CT, in Patients with Biochemical Recurrence of Prostate Cancer.

PURPOSE: To analyse diagnostic and therapeutic impact of molecular imaging TNM (miTNM) stage obtained with [18F]DCFPyL versus [18F]F-choline in head-to-head comparison in biochemical recurrence (BCR) of prostate cancer (PCa). MATERIAL AND METHODS: Patients with BCR of PCa after radical treatment with previous [18F]F-choline-PET/CT (negative or oligometastatic disease) were recruited to [18F]DCFPyL-PET/CT. Patients were classified according to: grade group, European Association of Urology classification, PSA, PSA doubling time (PSAdt) and PSA velocity (PSAvel). The overall detection rate (DR) and miTNM stage according to PROMISE criteria were assessed for both radiotracers and also correlated (Kappa). The influence of PSA and kinetics on both PET/CT (DR and miTNM) and predictive value of unfavourable kinetics on miTNM were determined. Cut-off PSA, PSAdt and PSAvel values able to predict PET/CT results were determined. Change in miTNM and treatment derived from [18F]DCFPyL information compared with [18F]F-choline were also evaluated. RESULTS: We studied 138 patients. [18F]DCFPyL showed a higher DR than [18F]F-choline (64.5% versus 33.3%) with a fair agreement. [18F]DCFPyL and [18F]F-choline detected T in 33.3% versus 19.6%, N in 27.5% versus 13.8%, and M in 30.4% versus 8.7%. Both tracers' DR showed significant associations with PSA and PSAvel. Significant association was only found between miTNM and PSA on [18F]F-choline-PET/CT (p = 0.033). For [18F]F-choline and [18F]DCFPyL-PET/CT, a PSAdt cut-off of 4.09 and 5.59 months, respectively, were able to predict M stage. [18F]DCFPyL changed therapeutic management in 40/138 patients. CONCLUSIONS: [18F]DCFPyL provides a higher DR and superior miTNM staging than [18F]F-choline in restaging BCR, especially with high PSA and unfavourable PSA kinetics, showing a fair agreement to [18F]F-choline.

Incidental finding of metastatic prostatic adenocarcinoma of frontotemporal bone presenting as subdual hematoma: A case report and review of literature.

INTRODUCTION: and important: Prostatic cancer is often prone to metastasis and bone invasion. Skull metastasis in prostate cancer is uncommon, accounting for less than 2% of all metastases. However, frontotemporal bone metastasis without dural or brain metastasis is rare. CASE PRESENTATION: Herein, we report the case of a 91-year-old male patient who presented with a sudden-onset dizziness, a fall to the ground, and gradual loss of consciousness. Computed tomography (CT) of the brain revealed an aggressive bony lesion secondary to locally advanced metastatic malignancy and subdural hematoma. Subsequently, he underwent decompressive craniectomy. Histopathological and immunohistochemical (IHC) examinations demonstrated metastatic prostatic adenocarcinoma (PCa). Although after treatment by a multidisciplinary team, unfortunately, the patient expired two months after the surgery and could no longer be traced. CLINICAL DISCUSSION: In the majority of reported cases, CT scans of the brain are often mistaken for subdural hematoma or meningioma. The present case suggests is a preliminary incidental case of a single frontotemporal bony lesion. This is the first case described in the literature of incidental finding of metastatic PCa presenting with asymptomatic characteristics. CONCLUSION: Awareness of the possibility of metastatic PCa involving the skull bones, as well as histopathological and IHC examinations, are important to arrive at a correct initial diagnosis.

Prostate Cancer: Early Detection and Assessing Clinical Risk Using Deep Machine Learning of High Dimensional Peripheral Blood Flow Cytometric Phenotyping Data.

Detecting the presence of prostate cancer (PCa) and distinguishing low- or intermediate-risk disease from high-risk disease early, and without the need for potentially unnecessary invasive biopsies remains a significant clinical challenge. The aim of this study is to determine whether the T and B cell phenotypic features which we have previously identified as being able to distinguish between benign prostate disease and PCa in asymptomatic men having Prostate-Specific Antigen (PSA) levels < 20 ng/ml can also be used to detect the presence and clinical risk of PCa in a larger cohort of patients whose PSA levels ranged between 3 and 2617 ng/ml. The peripheral blood of 130 asymptomatic men having elevated Prostate-Specific Antigen (PSA) levels was immune profiled using multiparametric whole blood flow cytometry. Of these men, 42 were subsequently diagnosed as having benign prostate disease and 88 as having PCa on biopsy-based evidence. We built a bidirectional Long Short-Term Memory Deep Neural Network (biLSTM) model for detecting the presence of PCa in men which combined the previously-identified phenotypic features (CD8+CD45RA-CD27-CD28- (CD8+ Effector Memory cells), CD4+CD45RA-CD27-CD28- (CD4+ Effector Memory cells), CD4+CD45RA+CD27-CD28- (CD4+ Terminally Differentiated Effector Memory Cells re-expressing CD45RA), CD3-CD19+ (B cells), CD3+CD56+CD8+CD4+ (NKT cells) with Age. The performance of the PCa presence 'detection' model was: Acc: 86.79 ( ± 0.10), Sensitivity: 82.78% (± 0.15); Specificity: 95.83% (± 0.11) on the test set (test set that was not used during training and validation); AUC: 89.31% (± 0.07), ORP-FPR: 7.50% (± 0.20), ORP-TPR: 84.44% (± 0.14). A second biLSTM 'risk' model combined the immunophenotypic features with PSA to predict whether a patient with PCa has high-risk disease (defined by the D'Amico Risk Classification) achieved the following: Acc: 94.90% (± 6.29), Sensitivity: 92% (± 21.39); Specificity: 96.11 (± 0.00); AUC: 94.06% (± 10.69), ORP-FPR: 3.89% (± 0.00), ORP-TPR: 92% (± 21.39). The ORP-FPR for predicting the presence of PCa when combining FC+PSA was lower than that of PSA alone. This study demonstrates that AI approaches based on peripheral blood phenotyping profiles can distinguish between benign prostate disease and PCa and predict clinical risk in asymptomatic men having elevated PSA levels.

Solitary Lung Metastasis of Prostate Cancer with a Long Disease-Free Interval and Normal Prostate-Specific Antigen Level.

An 83-year-old man with core needle biopsy-proven Gleason score 5 prostate cancer had received radiotherapy including 18 Gy brachytherapy to the prostate cancer, leading to no locoregional and distant recurrence for more than 5 years with the normalization of elevated prostate-specific antigen (PSA) level before the radiotherapy. Due to the enlargement of coexisting ground glass nodule (GGN) in the left lung from 1 to 2.1 cm, the patient underwent wide resection of the GGN 7 years later. Under the diagnosis of adenocarcinoma in situ of the lung, follow-up computed tomography 6 months after the wide resection showed a rapid enlargement of a solid nodule having been judged as a presumed inflammatory nodule in the middle lobe, highly suggesting a malignant neoplasm of the lung. Due to both the tall columnar atypical cells with trabecular pattern on frozen section and no elevation of serum PSA level, we judged the nodule as a primary adenocarcinoma of the lung and further resected the middle lobe with lymph node dissection. Immunostaining of the tumor showed all the CK7, CK20, TTF-1, napsin A, synaptophysin, chromogranin, CD56, CDX2, p53, beta-catenin, and MUC2 negative, and PSA highly positive, clearly showing the solid nodule as a solitary lung metastasis of the prostate cancer. Physicians should note the possible solitary lung metastasis of prostate cancer, especially bearing indolent biology, with no elevation of the PSA level even after the completion of standard 5-year follow-up.

High mortality risk of prostate cancer patients in Asia and West Africa: A systematic review.

Globally, prostate cancer (PCa) is the second most preponderant cancer in men. It contributes to the high mortality-to-incidence ratio reported in West Africa and Asia largely due to low screening. The mortality risk is determined or predicted based on the prevalence of high-risk or aggressive PCa using a scoring or grading system such as Gleason score (GS), Gleason grade (GG), and prostate-specific antigen (PSA) level. In this review, peer-reviewed articles found on databases such as Google Scholar, Scopus, Web of Science, PubMed Central and, EMBASE were selected based on adherence to clinical guidelines for the classification of PCa. In West Africa and Asia, the result revealed that the frequency of high-risk PCa was 42% and 51.2% based on GS, 48.8% and 25.3% based on GG pattern, and 87.5% and 44.3% based on PSA level >10 ng/mL, respectively. Data revealed a high prevalence of high-risk PCa both in West Africa and Asia when compared with developed countries. However, the prevalence of high-risk PCa is higher in West Africa than in Asia. Studies have shown that high-risk PCas are associated with germline mutations and such mutations are prevalent in blacks and Asians than in whites. Thus, testing for germline mutations in patients with GS of ≥ 7, GG ≥ 3, high prostate density, low prostate volume, and PSA levels of >4.0 ng/mL may identify those at risk of developing lethal PCa and could reduce the mortality rates in Asia and West Africa.

Autoantibody against new gene expressed in prostate protein is traceable in prostate cancer patients.

AIM: We assessed an autoantibody against new gene expressed in prostate (NGEP) protein for prostate cancer (PCa) that may better diagnosis and prognosis approaches in the patients with PCa. METHODS: Autoantibodies against NGEP were measured in sera of PCa patients by ELISA. RESULTS: The autoantibody against NGEP is present in a significantly higher proportion in the sera of PCa patients as compared with healthy controls (p < 0.001). An inverse significant correlation was found between seropositive patients and Gleason score (p < 0.05) and serum prostate-specific antigen (recombinant NGEP; p < 0.05). CONCLUSION: The data showed that measurement of autoantibody against NGEP as a novel prostate-specific antigen in sera can be used as a potential biomarker to discriminate well-differentiated PCa patients from normal subjects.

Prostate cancer with normal serum PSA: a report of 6 cases and literature review / 现代泌尿外科杂志

【Objective】 To analyze the clinical data of prostate cancer patients with normal PSA level confirmed with transperineal prostate biopsy or transurethral prostate surgery, in order to improve the diagnostic level of this disease. 【Methods】 The clinical data of 6 patients were retrospectively analyzed. The age,clinical manifestations, body mass index (BMI),prostate specific antigen density (PSAD),blood triglycerides,blood cholesterol,color ultrasound imaging,magnetic resonance imaging (MRI),pathological types and Gleason scores were analyzed. The clinical characteristics and high-risk factors were summarized. 【Results】 Two cases were confirmed with prostate biopsy and four after prostate resection. Three patients had high blood triglycerides, three were negative for bone imaging, and the other three were not examined. PSAD was 0.017 to 1.215. Color ultrasound indicated that two cases had irregular morphology, two uneven echo, and one both irregular morphology and uneven echo; all six cases had calcification. In the three cases who received MRI, two had PIRADS4 nodules, one had PIRADS5 nodules, invasion of seminal vesicle, rectum, posterior wall of urinary bladder,bilateral thickening of NVB, and lymph nodes enlargement. Pathology suggested prostatic acinar adenocarcinoma in five cases, four of which had a Gleason score of 3+3=6 and one had 5+5=10; one case suggested a high-grade neuroendocrine carcinoma. 【Conclusion】 The clinical detection rate is low for prostate cancer with normal PSA. The biopsy indications should be determined by combining the characteristics and high-risk factors to improve the detection rate.

Identifying the Presence of Prostate Cancer in Individuals with PSA Levels <20 ng ml-1 Using Computational Data Extraction Analysis of High Dimensional Peripheral Blood Flow Cytometric Phenotyping Data.

Determining whether an asymptomatic individual with Prostate-Specific Antigen (PSA) levels below 20 ng ml-1 has prostate cancer in the absence of definitive, biopsy-based evidence continues to present a significant challenge to clinicians who must decide whether such individuals with low PSA values have prostate cancer. Herein, we present an advanced computational data extraction approach which can identify the presence of prostate cancer in men with PSA levels <20 ng ml-1 on the basis of peripheral blood immune cell profiles that have been generated using multi-parameter flow cytometry. Statistical analysis of immune phenotyping datasets relating to the presence and prevalence of key leukocyte populations in the peripheral blood, as generated from individuals undergoing routine tests for prostate cancer (including tissue biopsy) using multi-parametric flow cytometric analysis, was unable to identify significant relationships between leukocyte population profiles and the presence of benign disease (no prostate cancer) or prostate cancer. By contrast, a Genetic Algorithm computational approach identified a subset of five flow cytometry features (CD8+CD45RA-CD27-CD28- (CD8+ Effector Memory cells); CD4+CD45RA-CD27-CD28- (CD4+ Terminally Differentiated Effector Memory Cells re-expressing CD45RA); CD3-CD19+ (B cells); CD3+CD56+CD8+CD4+ (NKT cells)) from a set of twenty features, which could potentially discriminate between benign disease and prostate cancer. These features were used to construct a prostate cancer prediction model using the k-Nearest-Neighbor classification algorithm. The proposed model, which takes as input the set of flow cytometry features, outperformed the predictive model which takes PSA values as input. Specifically, the flow cytometry-based model achieved Accuracy = 83.33%, AUC = 83.40%, and optimal ROC points of FPR = 16.13%, TPR = 82.93%, whereas the PSA-based model achieved Accuracy = 77.78%, AUC = 76.95%, and optimal ROC points of FPR = 29.03%, TPR = 82.93%. Combining PSA and flow cytometry predictors achieved Accuracy = 79.17%, AUC = 78.17% and optimal ROC points of FPR = 29.03%, TPR = 85.37%. The results demonstrate the value of computational intelligence-based approaches for interrogating immunophenotyping datasets and that combining peripheral blood phenotypic profiling with PSA levels improves diagnostic accuracy compared to using PSA test alone. These studies also demonstrate that the presence of cancer is reflected in changes in the peripheral blood immune phenotype profile which can be identified using computational analysis and interpretation of complex flow cytometry datasets.

Predicting the risk of bone metastasis in prostate cancer.

The ability to identify prostate cancer patients at 'high risk' for bone metastasis development could allow early selection of those most likely to benefit from interventions to prevent or delay bone metastasis. This review is aimed to identify potential predictors of risk for bone metastasis in newly diagnosed patients and in those who have already received treatment. At diagnosis, established predictors of prostate cancer aggressiveness (e.g. PSA level, clinical stage, Gleason score) can identify patients at risk for bone metastasis. Following treatment of the disease, increasing evidence suggests that absolute PSA levels and other measures of PSA kinetics are useful to aid prediction of bone metastasis risk in patients both with and without a history of ADT. However, which PSA parameter most accurately predicts risk and the cut-off values that should be employed are unclear. Inclusion of PSA parameters to identify a high risk population may be beneficial in whom bone-modifying treatments are being considered. Other novel (but unvalidated) biomarkers that potentially predict the development of bone metastases have been identified, although it is unclear whether they will have value as independent markers or when combined with other parameters (e.g. measures of PSA kinetics). Further prospective studies of PSA kinetics and other predictive markers are, therefore, required to define the optimal criteria for identifying patients at high risk of bone metastases and those who are most likely to benefit from intensive monitoring and therapeutic intervention.

Pattern of Decrease of Prostate Specific Antigen after Radical Radiotherapy for the Prostate Cancer / 대한방사선종양학회지

PURPOSE: Prostate specific antigen (PSA) is a useful tumor marker, which is widely used as a diagnostic index and predictor of both treatment and follow-up result in prostate cancer. A prospective analysis was carried out to obtain the period of PSA normalization and the half life of PSA and to analyze the factors influencing the period of PSA normalization. The PSA level was checked before and serially after radical radiotherapy. MATERIALS AND METHODS: Twenty patients with clinically localized prostate cancer who underwent radical external beam radiotherapy were enrolled in this study. Accrual period was from April 1993 to May 1998. Median follow-up period was 26 months. Radiotherapy was given to whole pelvis followed by a boost to prostate. Dose range for the whole pelvis was from 45 Gy to 50 Gy and boost dose to prostate, from 14 Gy to 20 Gy. The post-irradiation PSA normal value was under 3.0 ng/ml. The physical examination and serum PSA level evaluation were performed at 3 month interval in the first one year, and then at every 4 to 6 months. RESULTS: PSA value was normalized in nineteen patients (95%) within 12 months. The mean period of PSA normalization was 5.3 (+/-2.7) months. The half life of PSA of the nonfailing patients was 2.1 (+/-0.9) month. The nadir PSA level of the nonfailing patients was 0.8 (+/-0.5) ng/ml. The period of PSA normalization had the positive correlation with pretreatment PSA level (R2=0.468). The nadir PSA level had no definite positive correlation with the pretreatment PSA level (R2=0.175). The half life of serum PSA level also had no definite correlation with pretreatment PSA level (R2=0.029). CONCLUSION: The PSA level was mostly normalized within 8 months (85%). If it has not normalized within 12 months, we should consider the residual disease in prostate or distant metastasis. In 2 patients, the PSA level increased 6 months or 20 months before clinical disease was detected. So the serum PSA level can be used as early diagnostic indicator of treatment failure.