Performance of magnetic resonance imaging-based prostate cancer risk calculators and decision strategies in two large European medical centres.

OBJECTIVES: To compare the performance of currently available biopsy decision support tools incorporating magnetic resonance imaging (MRI) findings in predicting clinically significant prostate cancer (csPCa). PATIENTS AND METHODS: We retrospectively included men who underwent prostate MRI and subsequent targeted and/or systematic prostate biopsies in two large European centres. Available decision support tools were identified by a PubMed search. Performance was assessed by calibration, discrimination, decision curve analysis (DCA) and numbers of biopsies avoided vs csPCa cases missed, before and after recalibration, at risk thresholds of 5%-20%. RESULTS: A total of 940 men were included, 507 (54%) had csPCa. The median (interquartile range) age, prostate-specific antigen (PSA) level, and PSA density (PSAD) were 68 (63-72) years, 9 (7-15) ng/mL, and 0.20 (0.13-0.32) ng/mL2 , respectively. In all, 18 multivariable risk calculators (MRI-RCs) and dichotomous biopsy decision strategies based on MRI findings and PSAD thresholds were assessed. The Van Leeuwen model and the Rotterdam Prostate Cancer Risk Calculator (RPCRC) had the best discriminative ability (area under the receiver operating characteristic curve 0.86) of the MRI-RCs that could be assessed in the whole cohort. DCA showed the highest clinical utility for the Van Leeuwen model, followed by the RPCRC. At the 10% threshold the Van Leeuwen model would avoid 22% of biopsies, missing 1.8% of csPCa, whilst the RPCRC would avoid 20% of biopsies, missing 2.6% of csPCas. These multivariable models outperformed all dichotomous decision strategies based only on MRI-findings and PSAD. CONCLUSIONS: Even in this high-risk cohort, biopsy decision support tools would avoid many prostate biopsies, whilst missing very few csPCa cases. The Van Leeuwen model had the highest clinical utility, followed by the RPCRC. These multivariable MRI-RCs outperformed and should be favoured over decision strategies based only on MRI and PSAD.

During the COVID-19 pandemic 20 000 prostate cancer diagnoses were missed in England.

OBJECTIVES: To investigate the effect of the COVID-19 pandemic on prostate cancer incidence, prevalence, and mortality in England. PATIENTS AND METHODS: With the approval of NHS England and using the OpenSAFELY-TPP dataset of 24 million patients, we undertook a cohort study of men diagnosed with prostate cancer. We visualised monthly rates in prostate cancer incidence, prevalence, and mortality per 100 000 adult men from January 2015 to July 2023. To assess the effect of the pandemic, we used generalised linear models and the pre-pandemic data to predict the expected rates from March 2020 as if the pandemic had not occurred. The 95% confidence intervals (CIs) of the predicted values were used to estimate the significance of the difference between the predicted and observed rates. RESULTS: In 2020, there was a drop in recorded incidence by 4772 (31%) cases (15 550 vs 20 322; 95% CI 19 241-21 403). In 2021, the incidence started to recover, and the drop was 3148 cases (18%, 17 950 vs 21 098; 95% CI 19 740-22 456). By 2022, the incidence returned to the levels that would be expected. During the pandemic, the age at diagnosis shifted towards older men. In 2020, the average age was 71.6 (95% CI 71.5-71.8) years, in 2021 it was 71.8 (95% CI 71.7-72.0) years as compared to 71.3 (95% CI 71.1-71.4) years in 2019. CONCLUSIONS: Given that our dataset represents 40% of the population, we estimate that proportionally the pandemic led to 20 000 missed prostate cancer diagnoses in England alone. The increase in incidence recorded in 2023 was not enough to account for the missed cases. The prevalence of prostate cancer remained lower throughout the pandemic than expected. As the recovery efforts continue, healthcare should focus on finding the men who were affected. The research should focus on investigating the potential harms to men diagnosed at older age.

[Role of programmed cell death in the diagnosis and treatment of prostate cancer：An update].

Prostate cancer（PCa）is the most common malignant tumor in male genitourinary system. In China, the incidence of PCa is increasing significantly, which seriously endangers the physical and mental health of Chinese men. Programmed cell death（PCD）is a kind of active and orderly cell death mode, which exists widely in the process of life activities. With the deepening understanding of PCD, more and more studies have found that different types of PCD are closely related to PCa.This article mainly reviews therole of programmed cell death in the diagnosis and treatment of prostate cancer.

Machine learning techniques on homological persistence features for prostate cancer diagnosis.

The rapid evolution of image processing equipment and techniques ensures the development of novel picture analysis methodologies. One of the most powerful yet computationally possible algebraic techniques for measuring the topological characteristics of functions is persistent homology. It's an algebraic invariant that can capture topological details at different spatial resolutions. Persistent homology investigates the topological features of a space using a set of sampled points, such as pixels. It can track the appearance and disappearance of topological features caused by changes in the nested space created by an operation known as filtration, in which a parameter scale, in our case the intensity of pixels, is increased to detect changes in the studied space over a range of varying scales. In addition, at the level of machine learning there were many studies and articles witnessing recently the combination between homological persistence and machine learning algorithms. On another level, prostate cancer is diagnosed referring to a scoring criterion describing the severity of the cancer called Gleason score. The classical Gleason system defines five histological growth patterns (grades). In our study we propose to study the Gleason score on some glands issued from a new optical microscopy technique called SLIM. This new optical microscopy technique that combines two classic ideas in light imaging: Zernike's phase contrast microscopy and Gabor's holography. Persistent homology features are computed on these images. We suggested machine learning methods to classify these images into the corresponding Gleason score. Machine learning techniques applied on homological persistence features was very effective in the detection of the right Gleason score of the prostate cancer in these kinds of images and showed an accuracy of above 95%.

Effects of cycling and rowing on serum concentrations of prostate-specific antigen: A randomized study of 101 male subjects.

OBJECTIVE: To determine the effects if cycling and rowing on serum prostate-specific antigen (PSA) levels. METHODS: Male volunteers (n = 101), aged 20-80 (mean, 49.9) years were randomized to exercise at the first or second study visit. They performed 1 h of either cycling or rowing on a stationary machine. To determine exercise-induced effects on the PSA level, serum total PSA (tPSA) and free PSA (fPSA) concentrations were evaluated before and after exercise and another sampling was performed at the second study visit. Pre-exercise and postexercise tPSA and fPSA concentrations were compared using the Wilcoxon matched-pairs test. The results were analyzed using the Mann-Whitney U-test. RESULTS: A significant (p < 0.001) average increase in tPSA after exercise (1.14 ± 1.11 ng/ml to 1.24 ± 1.26 ng/ml [mean, +8.8%]) was observed after both cycling and rowing, without significant differences between the sports (p = 0.54). The exercise-induced increase in PSA concentration affected participants aged ≥50 years (difference, 0.16 ± 0.37; p < 0.001), but not those aged <50 years (difference, 0.01 ± 0.06; p = 0.23). The effect size was clinically irrelevant in all except two outliers, in whom a distinct increase of PSA level by averages of 1.80 ng/ml (+55%) for tPSA and 1.25 ng/ml (+227%) for fPSA following cycling was observed. CONCLUSION: Rowing and cycling generally do not have a clinically relevant effect on PSA levels. However, outliers exist. Our findings do not support abstaining from exercise during the days approaching PSA sampling.

A Ti3 C2 TX /Pt-Pd based amperometric biosensor for sensitive cancer biomarker detection.

The detection of cancer biomarkers is of great significance for the early screening of cancer. Detecting the content of sarcosine in blood or urine has been considered to provide a basis for the diagnosis of prostate cancer. However, it still lacks simple, high-precision and wide-ranging sarcosine detection methods. In this work, a Ti3 C2 TX /Pt-Pd nanocomposite with high stability and excellent electrochemical performance has been synthesized by a facile one-step alcohol reduction and then used on a glassy carbon electrode (GCE) with sarcosine oxidase (SOx ) to form a sarcosine biosensor (GCE/Ti3 C2 TX /Pt-Pd/SOx ). The prominent electrocatalytic activity and biocompatibility of Ti3 C2 TX /Pt-Pd enable the SOx to be highly active and sensitive to sarcosine. Under the optimized conditions, the prepared biosensor has a wide linear detection range to sarcosine from 1 to 1000 µM with a low limit of detection of 0.16 µM (S/N = 3) and a sensitivity of 84.1 µA/mM cm2 . Besides, the reliable response in serum samples shows its potential in the early diagnosis of prostate cancer. More importantly, the successful construction and application of the amperometric biosensor based on Ti3 C2 TX /Pt-Pd will provide a meaningful reference for detecting other cancer biomarkers.

Prostate Cancer Review: Genetics, Diagnosis, Treatment Options, and Alternative Approaches.

Prostate cancer is one of the malignancies that affects men and significantly contributes to increased mortality rates in men globally. Patients affected with prostate cancer present with either a localized or advanced disease. In this review, we aim to provide a holistic overview of prostate cancer, including the diagnosis of the disease, mutations leading to the onset and progression of the disease, and treatment options. Prostate cancer diagnoses include a digital rectal examination, prostate-specific antigen analysis, and prostate biopsies. Mutations in certain genes are linked to the onset, progression, and metastasis of the cancer. Treatment for localized prostate cancer encompasses active surveillance, ablative radiotherapy, and radical prostatectomy. Men who relapse or present metastatic prostate cancer receive androgen deprivation therapy (ADT), salvage radiotherapy, and chemotherapy. Currently, available treatment options are more effective when used as combination therapy; however, despite available treatment options, prostate cancer remains to be incurable. There has been ongoing research on finding and identifying other treatment approaches such as the use of traditional medicine, the application of nanotechnologies, and gene therapy to combat prostate cancer, drug resistance, as well as to reduce the adverse effects that come with current treatment options. In this article, we summarize the genes involved in prostate cancer, available treatment options, and current research on alternative treatment options.

[miR-129 in the diagnosis, treatment and prediction of clinical prognosis of prostate cancer].

OBJECTIVE: To explore the value of miR-129 in the diagnosis, treatment and prediction of the clinical prognosis of PCa by observing the correlation between miR-129 and the progression of the malignancy. METHODS: This retrospective analysis included 310 male patients who visited the Department of Urology of the General Hospital of Eastern Theater Command from January 2014 to January 2022, 80 as normal healthy men, 80 with BPH, and the other 150 with PCa treated by radical prostatectomy without chemotherapy, radiotherapy or androgen-deprivation therapy. We determined the miR-129 expression in the serum and prostatic tissue of all the subjects by real-time quantitative PCR (RT-qPCR), performed pathological grading of the primary cancerous and pericancerous (≥ 3 cm from the focus) prostate tissues from the 150 PCa patients, collected the demographic and clinical data on all the subjects, and analyzed the correlation of their demographic data with the clinical parameters. We selected and transfected PC-3 and DU-145 cell lines with miR-129 precursor or miR-129 scramble, assessed the proliferation ability of each cell line and detected the expression levels of related proteins by cell proliferation assay and Western blot. RESULTS: The expression of miR-129 was significantly decreased in the serum of the PCa patients compared with that in the normal healthy men and BPH patients (P < 0.01), so was it in the PCa tissue in comparison with that in the pericancerous prostatic tissue (P < 0.01), and it was negatively correlated with the preoperative serum PSA level (P < 0.001), histological grade (P < 0.001), pathological stage (P < 0.001), Gleason score (P < 0.001), lymph node metastasis (P = 0.02), angiolymphatic invasion (P = 0.021) and biochemical recurrence (BCR) (P=0.001). Kaplan-Meier analysis showed a strong correlation of down-regulated miR-129 expression with a lower BCR-free survival rate, while multivariate survival analysis indicated that the expression of miR-129 was an independent prognostic indicator of BCR-free survival of the PCa patients (P < 0.001). Highly expressed miR-129 significantly inhibited the proliferation of PCa cells by regulating the expressions of cell cycle-regulatory proteins. CONCLUSION: The expression of miR-129 is significantly down-regulated in PCa tissues, which plays an important role in inhibiting the proliferation of PCa cells and tumor progression and improving BCR-free survival. Therefore, miR-129 can be considered as a new independent biomarker for the diagnosis, treatment and prediction of the clinical prognosis of PCa.

CURRENT ROLE OF MAGNETIC RESONANCE IMAGING IN THE SCREENING, DIAGNOSIS, AND TREATMENT OF PROSTATE CANCER.

Prostate cancer is the most common cancer in men. Diagnosis of prostate cancer poses a significant challenge, due to several different key parameters that need to be evaluated, such as age, history of prostate specific antigen (PSA), clinical examination and more recently magnetic resonance imaging (MRI). The current diagnostic pathway for prostate cancer has resulted in overdiagnosis and overtreatment as well as underdiagnosis and missed diagnoses in many men. Multiparametric MRI (mp-MRI) of the prostate has been identified as a test that could alleviate these diagnostic errors. Before prostate cancer treatment pathological confirmation is mandatory. Prostate biopsy is an invasive procedure with rare but not negligible potential complications. There are several methods of prostate biopsy of which most common are systemic or planar prostate biopsy and cognitive or targeted MRI-guided prostate biopsy. Multiparametric MRI has demonstrated better accuracy and reproducibility in detecting, locating and evaluating prostate cancer and also sparing some men unnecessary biopsies. Recent studies have shown a mpMRI benefit for better procedure planning regarding prostate cancer location, extent of disease and length of the urethra. There are still some challenges ahead, such as ensuring high-quality execution and reporting of mpMRI and ensuring that this diagnostic pathway is cost-effective. According to the latest urological clinical guidelines mpMRI became fundamental tool in management of prostate cancer. The aim of this study is to give a brief insight in use of mpMRI in prostate cancer diagnosis and treatment.

Exploring the association between use of gonadotropin releasing hormones agonists and prostate cancer diagnosis per se and diabetes control in men with type 2 diabetes mellitus: a nationwide, population-based cohort study.

BACKGROUND: Gonadotropin Releasing Hormones agonists (GnRH), which are first line treatment for metastatic prostate cancer (PCa), increase risk of type 2 diabetes mellitus (T2DM). This study aims to quantify the association of use of GnRH with diabetes control in PCa men with T2DM. METHODS: Nationwide population-based cohort study in the Swedish National Diabetes Register and Prostate Cancer data Base Sweden 4.1, on the association between GnRH and diabetes control in T2DM men with PCa by comparing T2DM men with PCa vs. without PCa, as well as comparing T2DM men with PCa on or not on GnRH. The primary exposure was use of GnRH. Worsening diabetes control was the primary outcome, defined as: 1) HbA1c rose to 58 mmol/mol or higher; 2) HbA1c increase by 10 mmol/mol or more; 3) Start of antidiabetic drugs or switch to insulin. We also combined all above definitions. Cox proportional hazards regression was used to analyze the association. RESULTS: There were 5714 T2DM men with PCa of whom 692 were on GnRH and 28,445 PCa-free men with T2DM with similar baseline characteristics. Diabetes control was worse in men with GnRH vs. PCa-free men (HR: 1.24, 95% CI: 1.13-1.34) as well as compared with PCa men without GnRH (HR:1.58, 95% CI: 1.39-1.80), when we defined the worsening control of diabetes by combining all definitions above. CONCLUSION: Use of GnRH in T2DM men with PCa was associated with worse glycemic control. The findings highlight the need to closely monitor diabetes control in men with T2DM and PCa starting GnRH.

Advanced ultrasound in the diagnosis of prostate cancer.

The diagnosis of prostate cancer (PCa) can be challenging due to the limited performance of current diagnostic tests, including PSA, digital rectal examination and transrectal conventional US. Multiparametric MRI has improved PCa diagnosis and is recommended prior to biopsy; however, mp-MRI does miss a substantial number of PCa. Advanced US modalities include transrectal prostate elastography and contrast-enhanced US, as well as improved B-mode, micro-US and micro-Doppler techniques. These techniques can be combined to define a novel US approach, multiparametric US (mp-US). Mp-US improves PCa diagnosis but is not sufficiently accurate to obviate the utility of mp-MRI. Mp-US using advanced techniques and mp-MRI provide complementary information which will become even more important in the era of focal therapy, where precise identification of PCa location is needed.

Quasi-Linear Viscoelastic Characterization of Soft Tissue-Mimicking Materials.

We present a novel method based on the quasi-linear viscoelastic (QLV) theory to describe the time-dependent behavior of soft materials. Unlike previous methods for deriving QLV parameters, we characterize the elastic and viscous behavior of materials separately by using two different sets of experiments. To model the nonlinear elastic behavior, we fit the elastic stress response with a one-term Ogden model. Then, we model the relaxation behavior with a Prony series to compare the stress relaxation of the material at different timescales. This new method allows us to characterize materials with narrow confidence intervals (high accuracy), independently from the loading conditions. We validate our model using samples made of phantom materials that mimic normal and cancerous prostate tissues in terms of Young's modulus. Our model is shown to distinguish materials with similar elastic (viscous) properties but different viscous (elastic) properties. Drawing a precise distinction between the phantoms, this method could be useful for prostate cancer (PCa) diagnosis; but significant clinical studies will be needed in the future.

Development and validation of a 25-Gene Panel urine test for prostate cancer diagnosis and potential treatment follow-up.

BACKGROUND: Heterogeneity of prostate cancer (PCa) contributes to inaccurate cancer screening and diagnosis, unnecessary biopsies, and overtreatment. We intended to develop non-invasive urine tests for accurate PCa diagnosis to avoid unnecessary biopsies. METHODS: Using a machine learning program, we identified a 25-Gene Panel classifier for distinguishing PCa and benign prostate. A non-invasive test using pre-biopsy urine samples collected without digital rectal examination (DRE) was used to measure gene expression of the panel using cDNA preamplification followed by real-time qRT-PCR. The 25-Gene Panel urine test was validated in independent multi-center retrospective and prospective studies. The diagnostic performance of the test was assessed against the pathological diagnosis from biopsy by discriminant analysis. Uni- and multivariate logistic regression analysis was performed to assess its diagnostic improvement over PSA and risk factors. In addition, the 25-Gene Panel urine test was used to identify clinically significant PCa. Furthermore, the 25-Gene Panel urine test was assessed in a subset of patients to examine if cancer was detected after prostatectomy. RESULTS: The 25-Gene Panel urine test accurately detected cancer and benign prostate with AUC of 0.946 (95% CI 0.963-0.929) in the retrospective cohort (n = 614), AUC of 0.901 (0.929-0.873) in the prospective cohort (n = 396), and AUC of 0.936 (0.956-0.916) in the large combination cohort (n = 1010). It greatly improved diagnostic accuracy over PSA and risk factors (p < 0.0001). When it was combined with PSA, the AUC increased to 0.961 (0.980-0.942). Importantly, the 25-Gene Panel urine test was able to accurately identify clinically significant and insignificant PCa with AUC of 0.928 (95% CI 0.947-0.909) in the combination cohort (n = 727). In addition, it was able to show the absence of cancer after prostatectomy with high accuracy. CONCLUSIONS: The 25-Gene Panel urine test is the first highly accurate and non-invasive liquid biopsy method without DRE for PCa diagnosis. In clinical practice, it may be used for identifying patients in need of biopsy for cancer diagnosis and patients with clinically significant cancer for immediate treatment, and potentially assisting cancer treatment follow-up.

A three-gene DNA methylation biomarker accurately classifies early stage prostate cancer.

BACKGROUND: We identify and validate accurate diagnostic biomarkers for prostate cancer through a systematic evaluation of DNA methylation alterations. MATERIALS AND METHODS: We assembled three early prostate cancer cohorts (total patients = 699) from which we collected and processed over 1300 prostatectomy tissue samples for DNA extraction. Using real-time methylation-specific PCR, we measured normalized methylation levels at 15 frequently methylated loci. After partitioning sample sets into independent training and validation cohorts, classifiers were developed using logistic regression, analyzed, and validated. RESULTS: In the training dataset, DNA methylation levels at 7 of 15 genomic loci (glutathione S-transferase Pi 1 [GSTP1], CCDC181, hyaluronan, and proteoglycan link protein 3 [HAPLN3], GSTM2, growth arrest-specific 6 [GAS6], RASSF1, and APC) showed large differences between cancer and benign samples. The best binary classifier was the GAS6/GSTP1/HAPLN3 logistic regression model, with an area under these curves of 0.97, which showed a sensitivity of 94%, and a specificity of 93% after external validation. CONCLUSION: We created and validated a multigene model for the classification of benign and malignant prostate tissue. With false positive and negative rates below 7%, this three-gene biomarker represents a promising basis for more accurate prostate cancer diagnosis.

Urinary, bowel and sexual health in older men from Northern Ireland.

OBJECTIVES: To provide data on the prevalence of urinary, bowel and sexual dysfunction in Northern Ireland (NI), to act as a baseline for studies of prostate cancer outcomes and to aid service provision within the general population. SUBJECTS AND METHODS: A cross-sectional postal survey of 10 000 men aged ≥40 years in NI was conducted and age-matched to the distribution of men living with prostate cancer. The EuroQoL five Dimensions five Levels (EQ-5D-5L) and 26-item Expanded Prostate Cancer Composite (EPIC-26) instruments were used to enable comparisons with prostate cancer outcome studies. Whilst representative of the prostate cancer survivor population, the age-distribution of the sample differs from the general population, thus data were generalised to the NI population by excluding those aged 40-59 years and applying survey weights. Results are presented as proportions reporting problems along with mean composite scores, with differences by respondent characteristics assessed using chi-squared tests, analysis of variance, and multivariable log-linear regression. RESULTS: Amongst men aged ≥60 years, 32.8% reported sexual dysfunction, 9.3% urinary dysfunction, and 6.5% bowel dysfunction. In all, 38.1% reported at least one problem and 2.1% all three. Worse outcome was associated with increasing number of long-term conditions, low physical activity, and higher body mass index (BMI). Urinary incontinence, urinary irritation/obstruction, and sexual dysfunction increased with age; whilst urinary incontinence, bowel, and sexual dysfunction were more common among the unemployed. CONCLUSION: These data provide an insight into sensitive issues seldom reported by elderly men, which result in poor general health, but could be addressed given adequate service provision. The relationship between these problems, raised BMI and low physical activity offers the prospect of additional health gain by addressing public health issues such as obesity. The results provide essential contemporary population data against which outcomes for those living with prostate cancer can be compared. They will facilitate greater understanding of the true impact of specific treatments such as surgical interventions, pelvic radiation or androgen-deprivation therapy.

Multiparametric ultrasound-targeted biopsy compares favorably to multiparametric MRI-transrectal ultrasound fusion-targeted biopsy on initial biopsy of men at risk for prostate cancer.

PURPOSE: The purpose this study is to evaluate the efficacy of multiparametric ultrasound-targeted biopsies in patients undergoing initial biopsy of the prostate for the suspicion of prostate cancer. MATERIALS AND METHODS: A total of 167 patients who are biopsy naïve underwent multiparametric ultrasound-targeted biopsy of the prostate. All patients had a transrectal ultrasound which included gray-scale evaluation and color Doppler evaluation. 12-core biopsies were performed on all patients, based on sextant anatomy; however, all cores were directed toward visually abnormal areas of the prostate as identified by multiparametric ultrasound, when such areas were present. RESULTS: Of 167 patients undergoing biopsy, a total of 111 (66.5%) were positive for cancer. Of these, 78 (70.3%) had a Gleason grade ≥ 7 and 33 (29.7%) had a Gleason grade ≤ 6. Of those undergoing radical prostatectomy 29 of 38 (76.3%) had biopsy Gleason grade ≥ 7, while nine of 38 (23.7%) had a Gleason grade ≤ 6. Only four of 38 (10.5%) patients who had final pathologic staging underwent surgical therapy for disease of low-malignant potential (Gleason ≤ 6). CONCLUSION: On initial biopsy for prostate cancer, multiparametric ultrasound-targeted biopsy compares favorably to the published performance of multiparametric MRI-TRUS fusion-targeted biopsy in terms of positive biopsy rate and the detection of disease of low-malignant potential.

Establishing the pathways and indications for performing isotope bone scans in newly diagnosed intermediate-risk localised prostate cancer - results from a large contemporaneous cohort.

OBJECTIVE: To establish the pattern of isotope bone scan (BS) positivity in a large contemporaneous cohort of patients with newly diagnosed localised prostate cancer and compare with the European Association of Urology (EAU) guidelines, as imaging guidelines and clinical practice for using BS to stage newly diagnosed patients with intermediate-risk localised prostate cancer are not uniform in the literature. PATIENTS AND METHODS: All patients with newly diagnosed prostate cancer were discussed in a specialist multidisciplinary team meeting and were prospectively entered in a database. Patients were categorised based on D'Amico classification. All intermediate- and high-risk patients had pelvic magnetic resonance imaging and BS unless contraindicated. The BS positivity in each group was analysed and the negative predictive value (NPV) calculated. A cohort of 2720 patients between 2002 and 2015 was retrospectively analysed. RESULTS: Of 976 patients in the D'Amico intermediate-risk category, 99 had primary Gleason pattern 4. Only one of the 99 patients had a positive BS and there were no positive BS in patients with Gleason primary pattern 3 in the intermediate-risk category. On subgroup analysis, based on prostate-specific antigen (PSA) level and Gleason grade alone, the BS-positivity rate in patients with a PSA level of <20 ng/mL and Gleason primary pattern 4 vs 3 was 6% and 0%, respectively, resulting in 100% NPV for a positive BS with Gleason primary pattern 3 and a PSA level of <20 ng/mL. The importance of clinical T stage (cT) was also noted, as eight of 146 patients had positive BS, who were high risk on cT stage, with a PSA level of <20 ng/mL and Gleason score <8. All eight patients had Gleason primary pattern 4. By limiting BS to the population at risk (all high-risk + intermediate-risk with primary pattern 4), 68 BS per year could have been avoided in a single centre. A limitation was that there was no histological confirmation of bony metastases. Extending the BS recommendation considering the new Gleason Grade Grouping is discussed. CONCLUSION: This study confirms that a staging BS can be safely avoided in patients with intermediate-risk prostate cancer with Gleason primary pattern 3 and to limit performing BS in all high-risk prostate cancer and in the intermediate-risk group when the primary Gleason pattern is 4, thereby reinforcing the current recommendations of the EAU guidelines.

[Contemporary concept of the diagnosis of prostate cancer].

This review summarizes current evidence of the etiology and diagnosis of prostate cancer. As before, a comprehensive urological examination remains the main method of diagnosing the disease. However, the invasive nature of the multicore prostate biopsy, its high cost and the need for specially trained personnel prompts to seek more state-of-the-art and non-invasive methods for diagnosing prostate cancer. The further research in this direction seems promising.

Use of two gene panels for prostate cancer diagnosis and patient risk stratification.

Currently, no ideal prostate cancer (PCa) diagnostic or prognostic test is available due to the lack of biomarkers with high sensitivity and specificity. There is an unmet medical need to develop combinations of multiple biomarkers which may have higher accuracy in detection of PCa and stratification of aggressive and indolent cancer patients. The aim of this study was to test two biomarker gene panels in distinguishing PCa from benign prostate and high-risk, aggressive PCa from low-risk, indolent PCa, respectively. We identified a five-gene panel that can be used to distinguish PCa from benign prostate. The messenger RNA (mRNA) expression signature of the five genes was determined in 144 PCa and benign prostate specimens from prostatectomy. We showed that the five-gene panel distinguished PCa from benign prostate with sensitivity of 96.59 %, specificity of 92.86 %, and area under the curve (AUC) of 0.992 (p < 0.0001). The five-gene panel was further validated in a 137 specimen cohort and showed sensitivity of 84.62 %, specificity of 91.84 %, and AUC of 0.942 (p < 0.0001). To define subtypes of PCa for treatment guidance, we examined mRNA expression signature of an eight-gene panel in 87 PCa specimens from prostatectomy. The signature of the eight-gene panel was able to distinguish aggressive PCa (Gleason score >6) from indolent PCa (Gleason score ≤6) with sensitivity of 90.28 %, specificity of 80.00 %, and AUC of 0.967 (p < 0.0001). This panel was further validated in a 158 specimen cohort and showed significant difference between aggressive PCa and indolent PCa with sensitivity of 92.57 %, specificity of 70.00 %, and AUC of 0.962 (p < 0.0001). Our findings in assessing multiple biomarkers in combination may provide new tools to detect PCa and distinguish aggressive and indolent PCa for precision and personalized treatment. The two biomarker panels may be used in clinical settings for accurate PCa diagnosis and patient risk stratification for biomarker-guided treatment.

Prostate cancer detection on transrectal ultrasonography-guided random biopsy despite negative real-time magnetic resonance imaging/ultrasonography fusion-guided targeted biopsy: reasons for targeted biopsy failure.

OBJECTIVE: To examine the value of additional transrectal ultrasonography (TRUS)-guided random biopsy (RB) in patients with negative magnetic resonance imaging (MRI)/ultrasonography (US) fusion-guided targeted biopsy (TB) and to identify possible reasons for TB failure. PATIENTS AND METHODS: We conducted a subgroup analysis of 61 men with prostate cancer (PCa) detected by 10-core RB but with a negative TB, from a cohort of 408 men with suspicious multiparametric magnetic resonance imaging (mpMRI) between January 2012 and January 2015. A consensus re-reading of mpMRI results (using Prostate Imaging Reporting and Data System [PI-RADS] versions 1 and 2) for each suspicious lesion was performed, with the image reader blinded to the biopsy results, followed by an unblinded anatomical correlation of the lesion on mpMRI to the biopsy result. The potential reasons for TB failure were estimated for each lesion. We defined clinically significant PCa according to the Epstein criteria and stratified patients into risk groups according to the European Association of Urology guidelines. RESULTS: Our analysis showed that RB detected significant PCa in 64% of patients (39/61) and intermediate-/high-risk PCa in 57% of patients (35/61). The initial mpMRI reading identified 90 suspicious lesions in the cohort. Blinded consensus re-reading of the mpMRI led to PI-RADS score downgrading of 45 lesions (50%) and upgrading of 13 lesions (14%); thus, negative TB could be explained by falsely high initial PI-RADS scores for 32 lesions (34%) and sampling of the target lesion by RB in the corresponding anatomical site for 36 out of 90 lesions (40%) in 35 of 61 patients (57%). Sampling of the target lesion by RB was most likely for lesions with PI-RADS scores of 4/5 and Gleason scores (GS) of ≥7. A total of 70 PCa lesions (67% with GS 6) in 44 patients (72%) were sampled from prostatic sites with no abnormalities on mpMRI. CONCLUSION: In cases of TB failure, RB still detected a high rate of significant PCa. The main reason for a negative TB was a TB error, compensated for by positive sampling of the target lesion by the additional RB, and the second reason for TB failure was a falsely high initial PI-RADS score. The challenges that arise for both MRI diagnostics and prostate lesion sampling are evident in our data and support the integration of RB into the TB workflow.