Diagnosis Of Prostate Cancer Research Articles

Unveiling potential: urinary exosomal mRNAs as non-invasive biomarkers for early prostate cancer diagnosis

BackgroundThis study investigated the use of urinary exosomal mRNA as a potential biomarker for the early detection of prostate cancer (PCa).MethodsNext-generation sequencing was utilized to analyze exosomal RNA from 10 individuals with confirmed PCa and 10 individuals without cancer. Subsequent validation through qRT-PCR in a larger sample of 43 PCa patients and 92 healthy controls revealed distinct mRNA signatures associated with PCa.ResultsNotably, mRNAs for RAB5B, WWP1, HIST2H2BF, ZFY, MARK2, PASK, RBM10, and NRSN2 showed promise as diagnostic markers, with AUC values between 0.799 and 0.906 and significance p values. Combining RAB5B and WWP1 in an exoRNA diagnostic model outperformed traditional PSA tests, achieving an AUC of 0.923, 81.4% sensitivity, and 89.1% specificity.ConclusionsThese findings highlight the potential of urinary exosomal mRNA profiling, particularly focusing on RAB5B and WWP1, as a valuable strategy for improving the early detection of PCa.

177 Lu-PSMA With Olaparib Radiosensitization Potentiates Response and Toxicity in Extensive Castration-Resistant Metastatic Prostate cancer.

A patient with widespread intensely prostate-specific membrane antigen-expressing, BRCA gene mutation-positive bone metastases at the time of prostate cancer diagnosis had progressed on multiple lines of standard therapy. He received 177 Lu-prostate-specific membrane antigen 8.5 GBq augmented by a short course of olaparib radiosensitization and achieved 90% decrease in serum PSA level after a single treatment. His tumor response was much better than expected by predictive dosimetry. However, his marrow radiotoxicity was worse than anticipated and required hospitalization. This suggests radiosensitizing agents to be a double-edged sword that must be carefully considered and balanced during activity prescription.

Case Presentation : Hyperferritinemia

Hyperferritinemia is a common finding in clinical practice with many possible causes. Levels above 1000 micrograms per litre can indicate significant underlying pathology, including malignancy; thus, all unexplained hyper ferritinemia require further evaluation. Here, we present a case of a prostate cancer diagnosis in a patient with initial laboratory findings of raised ferritin levels and non-specific symptoms. Keywords: hyper ferritinemia, underlying pathology

AI-powered Diagnostics: Transforming Prostate Cancer Diagnosis with MRI.

AI-powered Diagnostics: Transforming Prostate Cancer Diagnosis with MRI.

The association between behavioral habits and physical health status in prostate cancer patients: a large US national health-related survey

BackgroundThe impact of behavioral habits such as exercise on the physical health of prostate cancer (PCa) patients is poorly understood. We aimed to investigate PCa patients' exercise habits and the association between exercise and self-reported physical health status. MethodsThe 2016–2020 Behavioral Risk Factor Surveillance System (BRFSS) databases were used to identify men with a history of PCa. We identified patients with self-reported PCa diagnosis and excluded the non-male gender respondents in the self-reported PCa patients. We performed descriptive statistics and multivariable logistic regression analysis examining the association between exercise and poor physical health status. Our exposure of interest was the amount of physical exercise, and primary outcome was poor physical health status, defined as >14 self-reported days per month when patients felt “physical health is not good.” Covariates included age, body mass index (BMI), income, treatment, smoking, and exercise frequency. ResultsFrom 2,193,981 weighted survey participants, we identified 3,952 men with a history of PCa. Of these, 75% of participants reported exercise within the last month. In adjusted analyses among men with a history of PCa, exercise (OR 0.50, 95% CI 0.40–0.64, P < 0.001) was associated with lower odds of poor physical health status. Other independent predictors of poor physical health included income (High: OR 0.27, 95% CI 0.18–0.41, P < 0.01), BMI (underweight: OR 3.78, 95% CI 1.38–10.37, P = 0.01), treatment status (Active: OR 1.76, 95% CI 1.05–2.94, P = 0.03), smoking status (Active: OR 1.64, 95% CI 1.13–2.38, P = 0.01). ConclusionOur BRFSS cross-sectional study concluded that exercise among men with a history of PCa, even once per month, is associated with decreased odds of self-reported poor physical health; therefore, exercise programs should be considered for sedentary PCa patients.

Ultrasensitive aptamer-based electrochemical nanobiosensor in diagnosis of prostate cancer using 2D:2D reduced graphene oxide/graphitic carbon nitride decorated with Au nanoparticles

Prostate-specific antigen (PSA) remains the cornerstone for prostate cancer diagnosis. This study presents a highly sensitive aptamer-based electrochemical biosensor for PSA detection utilizing a novel two-dimensional (2D):2D reduced graphene oxide (rGO)/graphitic carbon nitride (g-C3N4) composite decorated with gold nanoparticles (Au NPs). The aptamer chains were immobilized on a glassy carbon electrode (GCE) modified with the rGO/g-C3N4/Au NPs composite. The successful synthesis of the nanomaterial and electrode modification were confirmed using X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FTIR), and transmission electron microscopy (TEM). The electrochemical properties and selectivity of the modified GCE were characterized by cyclic voltammetry (CV), square wave voltammetry (SQW), and electrochemical impedance spectroscopy (EIS). The biosensor exhibited high selectivity towards PSA compared to potential interferents like carbohydrate antigen 15-3 (CA 15-3), bovine serum albumin (BSA), fetal bovine serum (FBS), and glucose (C6H12O6). Under optimized conditions, the biosensor achieved a rapid detection time of 30 min for PSA and a remarkable limit of detection (LOD) of 0.44 fM (femtomolar) using methylene blue (MB) as the redox mediator. The limit of quantification (LOQ) was also exceptionally low at 2.5 fM. The applicability of the developed biosensor was further validated by analyzing real serum samples, demonstrating its potential for clinical use.

Incidence of prostate cancer in Medicaid beneficiaries with and without HIV in 2001–2015 in 14 states

ABSTRACT Prostate cancer (PCa) incidence is reportedly lower in men with HIV compared to men without HIV for unknown reasons. We describe PCa incidence by HIV status in Medicaid beneficiaries, allowing for comparison of men with and without HIV who are similar with respect to socioeconomic characteristics and access to healthcare. Men (N = 15,167,636) aged 18–64 with ≥7 months of continuous enrollment during 2001–2015 in 14 US states were retained for analysis. Diagnoses of HIV and PCa were identified using non-drug claims. We estimated cause-specific (csHR) comparing incidence of PCa by HIV status, adjusted for age, race-ethnicity, state of residence, year of enrollment, and comorbid conditions, and stratified by age and race-ethnicity. Hazard of PCa was lower in men with HIV than men without HIV (csHR = 0.89; 95% CI: 0.80, 0.99), but varied by race-ethnicity, with similar observations among non-Hispanic Black (csHR = 0.79; 95% CI: 0.69, 0.91) and Hispanic (csHR = 0.85; 95% CI: 0.67, 1.09), but not non-Hispanic white men (csHR = 1.17; 95% CI: 0.91, 1.50). Findings were similar in models restricted to men aged 50–64 and 40–49, but not in men aged 18–39. Reported deficits in PCa incidence by HIV status may be restricted to specific groups defined by age and race ethnicity.

A comparative study of 18F-PSMA-1007 PET/CT and pelvic MRI in newly diagnosed prostate cancer

PurposeTo evaluate the difference in the diagnostic efficacy of 18F-PSMA-1007 PET/CT and pelvic MRI in primary prostate cancer, as well as the correlation between the two methods and histopathological parameters and serum PSA levels.MethodsA total of 41 patients with suspected prostate cancer who underwent 18F-PSMA-1007 PET/CT imaging in our department from 2018 to 2023 were retrospectively collected. All patients underwent 18F-PSMA-1007 PET/CT and MRI scans. The sensitivity, PPV and diagnostic accuracy of MRI and 18F-PSMA-1007 PET/CT in the diagnosis of prostate cancer were calculated after comparing the results of MRI and 18F-PSMA-1007 PET/CT with biopsy. The Spearman test was used to calculate the correlation between 18F-PSMA-1007 PET/CT, MRI parameters, histopathological indicators, and serum PSA levels.ResultsCompared with histopathological results, the sensitivity, PPV and diagnostic accuracy of 18F-PSMA-1007 PET/CT in the diagnosis of prostate cancer were 95.1%, 100.0% and 95.1%, respectively. The sensitivity, PPV and diagnostic accuracy of MRI in the diagnosis of prostate cancer were 82.9%, 100.0% and 82.9%, respectively. There was a mild to moderately positive correlation between Gleason (Gs) score, Ki-67 index, serum PSA level and 18F-PSMA-1007 PET/CT parameters (p < 0.05). There was a moderately negative correlation between the expression of AMACR (P504S) and 18F-PSMA-1007 PET/CT parameters (p < 0.05). The serum PSA level and the Gs score were moderately positively correlated with the MRI parameters (p < 0.05). There was no correlation between histopathological parameters and MRI parameters (p > 0.05).ConclusionCompared with MRI, 18F-PSMA-1007 PET/CT has higher sensitivity and diagnostic accuracy in the detection of malignant prostate tumors. In addition, the Ki-67 index and AMACR (P504S) expression were only correlated with 18F-PSMA-1007 PET/CT parameters. Gs score and serum PSA level were correlated with 18F-PSMA-1007 PET/CT and MRI parameters. 18F-PSMA-1007 PET/CT examination can provide certain reference values for the clinical diagnosis, evaluation, and treatment of malignant prostate tumors.

The Influence of Disparities on Prostate Cancer at Diagnosis in the Charlotte Metropolitan Area.

Prostate cancer (PCa) is the most diagnosed noncutaneous malignancy and second leading-cause of cancer death in men, yet screening is decreasing. As PCa screening has become controversial, socioeconomic disparities in PCa diagnosis and outcomes widen. This study was designed to determine the current disparities influencing PCa diagnosis in Charlotte, NC. The Levine Cancer Institute database was queried for patients with PCa, living in metropolitan Charlotte. Socioeconomic status (SES) was determined by the Area Deprivation Index (ADI); higher ADI indicated lower SES. Patients were compared by their National Comprehensive Cancer Network risk stratification. Artificial intelligence predictive models were trained and heatmaps were created, demonstrating the geographic and socioeconomic disparities in late-stage PCa. Of the 802 patients assessed, 202 (25.2%) with high-risk PCa at diagnosis were compared with 198 (24.7%) with low-risk PCa. High-risk PCa patients were older (69.8±9.0 vs. 64.0±7.9 years; p<0.001) with lower SES (ADI block: 98.4±20.9 vs. 92.1±19.8; p=0.004) and more commonly African-American (White: 66.2% vs. 78.3%, African-American: 31.3% vs. 20.7%; p=0.009). On regression, ADI block was an independent predictor (odds ratio [OR]=1.013, 95% confidence interval [CI] 1.002-1.024; p=0.024) of high-risk PCa at diagnosis, whereas race was not (OR=1.312, 95% CI 0.782-2.201; p=0.848). A separate regression demonstrated higher ADI (OR=1.016, 95% CI 1.004-1.027; p=0.006) and older age (OR=1.083, 95% CI 1.054-1.114; p<0.001) were independent predictors for high-risk PCa. Findings, depicted in heatmaps, demonstrated the geographic locations where men with PCa were predicted to have high-risk disease based on their age and SES. Socioeconomic status was more closely associated with high-risk PCa at diagnosis than race. Although, of any variable, age was most predictive. The heatmaps identified areas that would benefit from increased awareness, education, and screening to facilitate an earlier PCa diagnosis.

Research Progress of Artificial Intelligence in Prostate Cancer Diagnosis Application

With the continuous advancement of artificial intelligence in the field of prostate cancer research, numerous studies have shown that AI performance can rival that of physicians. This review examines the recent applications and developments of AI in the early, accurate, and non-invasive diagnosis of prostate cancer, subsequently elucidating its importance, benefits, and limitations. The review emphasizes the exploration of the potential integration of AI with multi-omics and other cutting-edge technologies. Considering the current status of AI in prostate cancer diagnosis, the review summarizes the challenges faced in the clinical adoption of AI technologies and looks forward to improved and enhanced AI-based prostate cancer diagnostic techniques. The goal is to offer a reference for the integration of artificial intelligence into clinical practice.

Investigating miR-6880-5p in extracellular vesicle from plasma as a prognostic biomarker in endocrine therapy-treated castration-resistant prostate cancer

BackgroundAdvancements in the diagnosis, treatment, and surveillance of castration-resistant prostate cancer (CRPC) have progressed considerably, but a new biomarker that combines existing clinical and pathological data could be useful for a more precise diagnosis and prognosis. Some investigations have found that extracellular vesicle (EV)-derived miRNAs play crucial roles in various types of malignant tumors. The objective of this study was to explore EV miRNA and identify its biologic function as a biomarker for the diagnosis and prognosis of CRPC.MethodsPlasma samples were collected from five healthy donors (Control, CT) and 17 CRPC patients, categorizing into two groups based on their endocrine treatment response: partial response (PR; n = 10) and progressive disease (PD; n = 7). Candidate extracellular vesicle (EV) miRNAs were identified using miRNA microarray and RT-qPCR. The biological functions of the selected miRNAs were evaluated using the MTT assay, wound healing assay, trans-well assay, and RNA sequencing in CRPC cells after transient miRNA expression.ResultsMicroarray analysis revealed a significant downregulation of EV-miR-6880-5p in the PD samples compared to both CT and PR samples (p < 0.01). The expression of EV-miR-6880-5p in CRPC patients was decreased compared with that CT group (p = 0.0336) using RT-qPCR. In the PR group, EV-miR-6880-5p was increased at follow-up compared with the baseline (p = 0.2803), while in the PD group, it decreased at follow-up compared with the baseline samples (p = 0.4356). Furthermore, overexpression of miR-6880-5p hampered cell proliferation, migration, and invasion, downregulated pathways associated with tumor progression, and simultaneously upregulated pathways associated with cell growth and apoptosis in CRPC cells.ConclusionsEV-miR-6880-5p shows promise as a prognostic biomarker in patients with CRPC. Further, prospective validations are necessary to evaluate the potential of these candidate miRNAs.

Simultaneous targeting and monitoring of free antigen and in-situ membrane antigen in prostate cancer cells via an aggregation-induced emission-based bifunctional probe

The precise clinical diagnosis of prostate cancer still presents inherent challenges, and usually a monitoring of multiple biomarkers is required. In this study, a new aggregation-induced emission (AIE)-based bifunctional strategy was developed for the simultaneous detection of prostate cancer-specific in situ membrane antigens (PSMA) and free antigens (PSA). First, a bifunctional fluorescent probe with double sensing sites (a PSA-specific sensing site and a PSMA-targeted ligand) was constructed. In the presence of PSA, it specifically binds to the PSA-specific sensing site of the probe, resulting in the restoration of the fluorescence signal, enabling linear sensing of PSA. For the detection of PSMA, the PSMA-targeted ligand modified on the probe can specifically recognize PSMA, inducing the aggregation of the AIE material and resulting in an enhanced fluorescence signal. Moreover, a liposome-based artificial cell was developed to simulate the real prostate cancer cell, and it was used to investigate the feasibility of monitoring the two types of antigens. Utilizing this bifunctional fluorescent strategy, a dual-analysis of free serum antigen biomarker of PSA and in-situ membrane antigen of PSMA was achieved. The assay exhibited a wide linearity range for PSA detection from 0.0001 to 0.1 μg/mL, with a low limit of detection (LOD) of 6.18 pg/mL. For PSMA, the obtained LOD is 8.79 pg/mL, with a linearity range from 0.0001 to 0.1 μg/mL. This strategy allows us to simultaneously assess the levels of two types of biomarkers in living human prostatic cancer cells, providing a highly accurate and selective tool for early screening and monitoring of prostatic cancer.

Lower urinary tract symptoms in elderly men: Considerations for prostate cancer testing.

Both lower urinary tract symptoms (LUTS) and prostate cancer (PCa) are common in elderly men. While LUTS are generally due to a benign etiology, they may provoke an evaluation with prostate-specific antigen (PSA), which can lead to a cascade of further testing and possible overdiagnosis in patients with competing risks. There is limited patient and provider understanding of the relationship between LUTS and PCa risk, and a lack of clarity in how to evaluate these men to balance appropriate diagnosis of aggressive PCa with avoidance of overdiagnosis. A literature review was performed using keywords to query the electronic database PubMed. All articles published before November 2023 were screened by title and abstract for articles relevant to our subject. Epidemiological studies suggest that LUTS and PCa are largely independent in elderly men. The best available tools to assess PCa risk include PSA permutations, novel biomarkers, and imaging, but there are limitations in older men based on lack of validation in the elderly and unclear applicability of traditional definitions of "clinically significant" disease. We present a three-tiered approach to evaluating these patients. Elderly men commonly have LUTS as well as a high likelihood of indolent PCa. A systematic and shared decision-making-based approach can help to balance objectives of appropriate detection of phenotypically dangerous disease and avoidance of over-testing and overdiagnosis.

Development and validation of a predictive score for diagnosing prostate cancer in primary care.

Prostate cancer (PCa) represents the fifth cause of death in the male population worldwide. The prostate-specific antigen (PSA) test demonstrated poor accuracy to assess the presence of PCa. Thus, the PSA testing paradigm should be moved from the systematic screening approach to the early identification of men who are harbouring clinically significant disease. Accurate clinical-based tools to predict PCa should therefore be developed for general practice. We derived and validated a PCa predictive score using a primary care data source. Using the Italian Health Search Database, we formed a cohort of men aged 45-90 years in the period between 2002 and 2015. These patients were followed up until 31 December 2022. Those with less than a 5-year follow-up were excluded. The cohort was randomly divided into 'derivation' and 'validation' samples in a 1:1 ratio. Along with the demographic and clinical determinants forming the score, we investigated the role of PSA kinetics in the prediction accuracy. In a cohort of 529,082 men aged 45+ years, we identified 14,524 cases of PCa (incidence rate = 2.71 per 1000 person-years; 95% confidence interval = 2.67-2.80). The prediction accuracy of the PCa-HScore featured an explained variation of 12% and a discrimination power of 70%. The calibration slope was almost equal to 1 (p = 0.951, tested for equivalence against the 'perfect' slope) and the PSA kinetics did not improve the prediction accuracy. The PCa-HScore might guide the prescription of PSA and/or other clinical strategies in those men reporting certain levels of risk. A related decision support system could therefore be implemented in primary care.

Do Prostate Imaging-Reporting and Data System (PIRADS) lesions predict holmium laser enucleation of prostate outcomes?

Prostate magnetic resonance imaging (MRI) is used for prostate cancer (PCa) screening and risk stratification and is helpful for surgical planning for patients undergoing holmium laser enucleation of the prostate (HoLEP). There are few studies investigating the correlation between MRI Prostate Imaging-Reporting and Data System (PIRADS) lesion characteristics and HoLEP pathology and outcomes. We performed retrospective review of patients who underwent HoLEP between January 2021 and August 2023 by a single surgeon. Preoperative, intraoperative, and postoperative characteristics and outcomes were analyzed for all patients who had a documented preoperative prostate MRI. There were 334 patients without a pre-existing diagnosis of PCa and with a preoperative prostate MRI, of which 140 (42%) had at least one PIRADS lesion. There was a total of 203 PIRADS lesions: 91 (45%) in the peripheral zone (PZ), 106 (52%) in the transition zone (TZ), and 6 (2%) not specified. Incidental PCa was noted in 44 (13%) patients at time of HoLEP. Presence or location of lesion was not significantly associated with rate or grade of incidental PCa on pathology. Greater number of lesions and lesion size correlated with longer procedure times. Lesion number, size, or grade were not found to correlate with cancer grade or rate of cancer. Grade, presence, location, size, and number of PIRADS lesions on preoperative prostate MRI for patients with an appropriate prior PCa workup were not significantly associated with incidental PCa or higher PCa grade on HoLEP pathology.

Cobalt Serum Level as a Biomarker of Cause-Specific Survival among Prostate Cancer Patients.

Prostate cancer is the most common cancer diagnosed in men and the second leading cause of death in male cancer patients. The WHO suggests that cobalt is involved in the carcinogenesis of prostate cancer. There are, however, no studies associating cobalt levels and prostate cancer patient survival. In this study, 261 Polish prostate cancer (n = 261) patients were recruited into a prospective cohort between 2009 and 2015. Serum cobalt levels were measured using ICP-MS after prostate cancer diagnosis and before treatment. All study participants were assigned into quartiles (QI-QIV) based on the distribution of serum cobalt levels among censored patients. Univariable and multivariable COX regression models were used to calculate hazard ratios (HRs) for each serum cobalt level quartile. We found a significant relationship between high serum cobalt levels and poor prostate cancer patient total survival (HR = 2.60; 95% CI: 1.17-5.82; p = 0.02). In relation to prostate cancer patients who died as a result of other non-cancer causes, the association with high levels of cobalt was even stronger (HR = 3.67; 95% CI: 1.03-13.00; p = 0.04). The impact of high serum cobalt levels on overall survival of prostate cancer-specific-related deaths was not statistically significant.

Prostate cancers with distinct transcriptional programs in Black and White men

BackgroundBlack men are at a higher risk of prostate cancer (PC) diagnosis and present with more high-grade PC than White men in an equal access setting. This study aimed to identify differential transcriptional regulation between Black and White men with PC.MethodsWe performed microarray of radical prostatectomy tissue blocks from 305 Black and 238 White men treated at the Durham Veterans Affairs Medical Center. Differential expression, gene set enrichment analysis, master regulator analysis, and network modeling were conducted to compare gene expression by race. Findings were validated using external datasets that are available in the Gene Expression Omnibus (GEO) database. The first was a multi-institutional cohort of 1152 prostate cancer patients (596 Black, 556 White) with microarray data (GEO ID: GSE169038). The second was an Emory cohort of 106 patients (22 Black, 48 White, 36 men of unknown race) with RNA-seq data (GEO ID: GSE54460). Additionally, we analyzed androgen receptor (AR) chromatin binding profiles using paired AR ChIP-Seq datasets from Black and White men (GEO IDs: GSE18440 and GSE18441).ResultsWe identified 871 differentially expressed genes between Black and White men. White men had higher activity of MYC-related pathways, while Black men showed increased activity of inflammation, steroid hormone responses, and cancer progression-related pathways. We further identified the top 10 transcription factors (TFs) in Black patients, which formed a transcriptional regulatory network centered on the AR. The activities of this network and the pathways were significantly different in Black vs. White men across multiple cohorts and PC molecular subtypes.ConclusionsThese findings suggest PC in Black and White men have distinct tumor transcriptional profiles. Furthermore, a highly interactive TF network centered on AR drives differential gene expression in Black men. Additional study is needed to understand the degree to which these differences in transcriptional regulatory elements contribute to PC health disparities.

Predicting the Diagnosis of Prostate Cancer with a Novel Blood-Based Biomarker: Comparison of Its Performance with Prostate-Specific Antigen.

The purpose of this study was to assess the efficacy, specificity, and predictive value of a newly discovered biomarker, Zinc finger-like1 protein (referred to as neuroendocrine marker, NEM) for the detection of prostate cancer (PCa). We retrospectively analyzed banked plasma samples from 508 men, with a median age of 67 years (range 48-97), to compare the performance of NEM and PSA in predicting subsequent histologic PCa. The cohort consisted of four groups of patients visiting a urology clinic: (1) patients not diagnosed with either benign prostatic disease or prostate cancer (PCa) were defined as normal; (2) patients diagnosed with benign hyperplasia (BPH) but not PCa; (3) patients with confirmed PCa; and (4) patients with cancer other than PCa. The normal men displayed a mean NEM plasma level of 0.948 ± 0.051 ng/mL, which increased to 1.813 ± 0.315 ng/mL in men with BPH, 86.49 ± 15.51 ng/mL in men with PCa, and 10.47 ± 1.029 ng/mL in men with other Ca. The corresponding concentrations of prostate-specific antigen (PSA) in these subjects were 1.787 ± 0.135, 5.405 ± 0.699, 35.77 ± 11.48 ng/mL, and 8.036 ± 0.518, respectively. Receiver operating characteristic (ROC) curve analysis was performed to compare NEM and PSA performance, and the Jouden Index for each biomarker was calculated to determine cut-off points for each biomarker. The area under the ROC curve to predict PCa was 0.99 for NEM and 0.81 for PSA (p < 0.0001). The cut-off for NEM was at 1.9 ng/mL, with sensitivity of 98% and specificity of 97%. The corresponding PSA values were 4.4 ng/mL, with sensitivity of 76% and specificity of 95%. The predictive value of each biomarker in a patient was matched with his pathologic data to determine the accuracy of each biomarker. NEM was more accurate than PSA in differentiating cancer from benign conditions, such as BPH or prostatitis. In conclusion, NEM was a better predictor of PCa than PSA in patients visiting urology clinics. NEM tests, either alone or in conjunction with other biomarkers, provide a reliable, non-invasive, and inexpensive test to remarkably reduce false positives and thereby reduce the number of diagnostic biopsies and associated painful procedures and the loss of quality of life.

A Scaled Proteomic Discovery Study for Prostate Cancer Diagnostic Markers Using ProteographTM and Trapped Ion Mobility Mass Spectrometry.

There is a significant unmet need for clinical reflex tests that increase the specificity of prostate-specific antigen blood testing, the longstanding but imperfect tool for prostate cancer diagnosis. Towards this endpoint, we present the results from a discovery study that identifies new prostate-specific antigen reflex markers in a large-scale patient serum cohort using differentiating technologies for deep proteomic interrogation. We detect known prostate cancer blood markers as well as novel candidates. Through bioinformatic pathway enrichment and network analysis, we reveal associations of differentially abundant proteins with cytoskeletal, metabolic, and ribosomal activities, all of which have been previously associated with prostate cancer progression. Additionally, optimized machine learning classifier analysis reveals proteomic signatures capable of detecting the disease prior to biopsy, performing on par with an accepted clinical risk calculator benchmark.

Research on the mean maximum Young’s modulus value as a new diagnostic parameter for prostate cancer

Ultrasound-based shear wave elastography (SWE) can non-invasively assess prostate tissue stiffness for the diagnosis of prostate cancer (PCa). So far, there is no widely recognized standard for the detection process and calculation method of Young’s modulus value in transrectal SWE ultrasound imaging (TSWEUI). In our study, the mean maximum Young’s modulus value (m-Emax) of the maximum cross-section of prostate is obtained by calculating the mean of 12 measured Emax in the four quadrants. This retrospective study included 209 suspected malignant prostate disease patients with pathological results in our hospital. Among the 209 patients, 75 patients completed TSWEUI, and 63 of the 75 patients completed magnetic resonance imaging (MRI). The area under the receiver operating characteristic (ROC) curve (AUC) of 75 patients for m-Emax was 0.754. The prostate volume, prostate-specific antigen, and m-Emax were used to develop a nomogram (AUC = 0.868). The nomogram could effectively predict the probability of PCa, thereby reducing the needle biopsy rate for diagnosing PCa. The AUC of 63 patients was not statistically different between m-Emax (AUC = 0.717) and MRI (AUC = 0.787) (P = 0.361). These indicate that m-Emax can be used as an innovative parameter in TSWEUI to diagnosis PCa. TSWEUI is more cost-effective than MRI in diagnosing PCa.