Advances in the selection of patients with prostate cancer for active surveillance

Does a Negative Prostate Biopsy Reduce the Risk of Prostate Cancer Reclassification in an Active Surveillance Protocol? An Updated Systematic Review and Meta-Analysis

OBJECTIVES

To evaluate the association of the negative confirmatory and follow-up biopsy with prostate cancer reclassification in active surveillance protocol.

MATERIALS AND METHODS

A systematic search was performed in databases, including Scopus, PubMed, Embase, and Web of Science, on June 25th, 2024, to identify relevant studies regarding negative biopsy and reclassification of prostate cancer among men on AS. The patient data including, sample sizes, follow-up duration, the status of performing the confirmatory biopsy, hazard ratio (HR), and 95% confidence intervals (CI) of each reported HR were evaluated in each study. The relationships between negative biopsies and reclassification were assessed using a forest plot. A random-effect meta-analysis was used when high heterogeneity existed among the studies. Otherwise, a fixed-effect meta-analysis was utilized. A p value of less than 0.05 was considered statistically significant. All statistical analyses were performed by using STATA statistical software, version 16.

RESULTS

A total of 13 articles were included in the study. These articles were published between 2008 and 2023, with the majority being published in recent years (2020-2023). The included articles evaluated a total of 17,900 patients. Our results regarding reclassification and upgrading are represented according to the confirmatory biopsy and subsequent follow-up biopsies. After a negative confirmatory biopsy, the pooled HR for reclassification was 0.46 (95% CI: 0.38-0.55, p < 0.01). Secondly, the study demonstrated that a decreased chance of cancer upgrading was also connected with negative confirmatory biopsies with a pooled HR of 0.57 (95% CI: 0.45-0.72, p < 0.01). Negative follow-up biopsies were linked to a 55% decrease in the risk of reclassification, according to the pooled HR for reclassification in patients with negative biopsies compared to those with positive biopsies of 0.45 (95% CI: 0.42-0.48, p < 0.01). Also, patients with negative follow-up biopsies had a pooled HR for upgrading of 0.57 (95% CI: 0.48-0.67, p < 0.01), indicating a 43% lower chance of upgrading than in patients with positive biopsies.

CONCLUSION

In active surveillance of PCa patients, a negative confirmatory biopsy decreased the chance of cancer reclassification and upgrading, with the pooled OR 0.46 and 0.57 [p < 0.01], respectively. Also, negative follow-up biopsies were linked to a decreased chance of cancer reclassification and upgrading. Our review recommends extend the follow-up evaluations in PCa patients with negative findings in surveillance biopsy who scheduled for active surveillance.

Upgrading of Grade Group 1 Prostate Cancer at Prostatectomy: Germline Risk Factors in a Prospective Cohort

BACKGROUND

Localized prostate tumors show significant spatial heterogeneity, with regions of high-grade disease adjacent to lower grade disease. Consequently, prostate cancer biopsies are prone to sampling bias, potentially leading to underestimation of tumor grade. To study the clinical, epidemiologic, and molecular hallmarks of this phenomenon, we conducted a prospective study of grade upgrading: differences in detected prostate cancer grade between biopsy and surgery.

METHODS

We established a prospective, multi-institutional cohort of men with grade group 1 (GG1) prostate cancer on biopsy who underwent radical prostatectomy. Upgrading was defined as detection of GG2+ in the resected tumor. Germline DNA from 192 subjects was subjected to whole-genome sequencing to quantify ancestry, pathogenic variants in DNA damage response genes, and polygenic risk.

RESULTS

Of 285 men, 67% upgraded at surgery. PSA density and percent of cancer in pre-prostatectomy positive biopsy cores were significantly associated with upgrading. No assessed genetic risk factor was predictive of upgrading, including polygenic risk scores for prostate cancer diagnosis.

CONCLUSIONS

In a cohort of patients with low-grade prostate cancer, a majority upgraded at radical prostatectomy. PSA density and percent of cancer in pre-prostatectomy positive biopsy cores portended the presence of higher-grade disease, while germline genetics was not informative in this setting. Patients with low-risk prostate cancer, but elevated PSA density or percent cancer in positive biopsy cores, may benefit from repeat biopsy, additional imaging or other approaches to complement active surveillance.

IMPACT

Further risk stratification of patients with low-risk prostate cancer may provide useful context for active surveillance decision-making.

MRI at diagnostic versus confirmatory biopsy during MRI-based active surveillance of prostate cancer

OBJECTIVES

Active surveillance (AS) is a management strategy for patients with favorable risk prostate cancer. Multi-parametric magnetic resonance imaging (mpMRI) may impact upgrading rates, but there is mixed evidence on the appropriate timing to introduce mpMRI. We evaluated timing of initial mpMRI use for patients on AS and compared upgrading and intervention rates for AS candidates who received initial mpMRI before diagnostic biopsy vs. confirmatory biopsy.

SUBJECTS AND METHODS

Patients enrolled in AS captured by the Prospective Loyola Urology mpMRI (PLUM) Prostate Biopsy Cohort which captures men undergoing MRI-fusion prostate biopsy. We included patients enrolled in AS between January 2014 and October 2022. We conducted a retrospective analysis of patients who underwent MRI-fusion prostate biopsy while on AS at our institution. The cohort was stratified by men who underwent first mpMRI prior to diagnostic biopsy (MRI-DBx), confirmatory biopsy (MRI-CBx), or a subsequent surveillance biopsy. Oncologic outcomes including pathologic reclassification, intervention-free survival, progression-free survival, and overall survival were evaluated.

RESULTS

Of 346 patients identified on AS, 94 (27.2%) received mpMRI at the time of diagnostic biopsy, 182 (52.6%) at confirmatory biopsy, and 70 (20.2%) at a later biopsy. At confirmatory biopsy (median 14 months), there was no difference in upgrading (HR 0.95, P = 0.78) or intervention rates (HR 0.97, P = 0.88) between MRI-DBx and MRI-CBx. PI-RADS score on initial mpMRI was associated with upgrading during AS follow-up relative to men with negative mpMRI (HR 4.20 (P = 0.04), 3.24 (P < 0.001), and 1.99 (P < 0.001) for PI-RADS 5, 4, and 3, respectively), and PSA density was associated with intervention (HR 1.52, P = 0.03).

CONCLUSION

mpMRI can serve as a prognostic tool to select and monitor AS patients, but there was no difference in upgrading or intervention rates based on initial timing of MRI.

Impact of family history of prostate cancer on disease progression for prostatic cancer patients undergoing active surveillance: A systematic review and meta-analysis

PURPOSE

To evaluate how a family history of prostate cancer influences the progression of the disease in individuals with prostate cancer undergoing active surveillance.

MATERIALS AND METHODS

We conducted a thorough literature search in PubMed/MEDLINE, Embase, and Cochrane Library up to June 2023. This systematic review was registered in PROSPERO (CRD42023441853). The study evaluated the effects of family history of prostate cancer (intervention) on disease progression (outcome) in prostate cancer patients undergoing active surveillance (population) and compared them to those without a family history (comparators). For time to disease progression outcomes, the extracted data were synthesized using the inverse variance method on the log hazard ratios scale.

RESULTS

A total of eight studies were incorporated into this systematic review and meta-analysis. The combined hazard ratio for unadjusted disease progression was 1.06 (95% confidential interval [CI] 0.66-1.69; p=0.82). The combined hazard ratio for adjusted disease progression was 1.31 (95% CI 1.16-1.48; p<0.0001). All the enlisted studies demonstrated high quality based on the Newcastle-Ottawa scale. The certainty of evidence for univariate and multivariate analysis of disease progression was very low and low, respectively. Publication bias for all studies was not significant.

CONCLUSIONS

For individuals with prostate cancer opting for active surveillance, a family history of prostate cancer may serve as an independent risk factor associated with an elevated risk of disease progression. Clinicians should be counseled about the increased risk of disease progression in patients with a family history of prostate cancer undergoing active surveillance.

Oral pimonidazole unveils clinicopathologic and epigenetic features of hypoxic tumour aggressiveness in localized prostate cancer

BACKGROUND

Tumor hypoxia is associated with prostate cancer (PCa) treatment resistance and poor prognosis. Pimonidazole (PIMO) is an investigational hypoxia probe used in clinical trials. A better understanding of the clinical significance and molecular alterations underpinning PIMO-labeled tumor hypoxia is needed for future clinical application. Here, we investigated the clinical significance and molecular alterations underpinning PIMO-labeled tumor hypoxia in patients with localized PCa, in order to apply PIMO as a prognostic tool and to identify potential biomarkers for future clinical translation.

METHODS

A total of 39 patients with localized PCa were recruited and administered oral PIMO before undergoing radical prostatectomy (RadP). Immunohistochemical staining for PIMO was performed on 37 prostatectomy specimens with staining patterns evaluated and clinical association analyzed. Whole genome bisulfite sequencing was performed using laser-capture of microdissected specimen sections comparing PIMO positive and negative tumor areas. A hypoxia related methylation molecular signature was generated by integrating the differentially methylated regions with previously established RNA-seq datasets.

RESULTS

Three PIMO staining patterns were distinguished: diffuse, focal, and comedo-like. The comedo-like staining pattern was more commonly associated with adverse pathology. PIMO-defined hypoxia intensity was positively correlated with advanced pathologic stage, tumor invasion, and cribriform and intraductal carcinoma morphology. The generated DNA methylation signature was found to be a robust hypoxia biomarker, which could risk-stratify PCa patients across multiple clinical datasets, as well as be applicable in other cancer types.

CONCLUSIONS

Oral PIMO unveiled clinicopathologic features of disease aggressiveness in localized PCa. The generated DNA methylation signature is a novel and robust hypoxia biomarker that has the potential for future clinical translation.

Proficiency score as a predictor of early trifecta achievement during the learning curve of robot-assisted radical prostatectomy for high-risk prostate cancer: Results of a multicentric series

Background

Recently, an innovative tool called "proficiency score" was introduced to assess the learning curve for robot-assisted radical prostatectomy (RARP). However, the initial study only focused on patients with low-risk prostate cancer for whom pelvic lymph node dissection (PLND) was not required. To address this issue, we aimed to validate proficiency scores of a contemporary multicenter cohort of patients with high-risk prostate cancer treated with RARP plus extended PLND by trainee surgeons.

Material and methods

Between 2010 and 2020, 4 Italian institutional prostate-cancer datasets were merged and queried for "RARP" and "high-risk prostate cancer." High-risk prostate cancer was defined according to the most recent European Association of Urology guidelines as follows: prostate-specific antigen >20 ng/mL, International Society of Urological Pathology ≥4, and/or clinical stage (cT) ≥ 2c on preoperative imaging. The selected cohort (n = 144) included clinical cases performed by trainee surgeons (n = 4) after completing their RARP learning curve (50 procedures for low-risk prostate cancer). The outcome of interest, the proficiency score, was defined as the coexistence of all the following criteria: a comparable operation time to the interquartile range of the mentor surgeon at each center, absence of any significant perioperative complications Clavien-Dindo Grade 3-5, no perioperative blood transfusions, and negative surgical margins. A logistic binary regression model was built to identify the predictors of 1-year trifecta achievement in the trainee cohort. For all statistical analyses, a 2-sided p < 0.05 was considered significant.

Results

A proficiency score was achieved in 42.3% patients. At univariable level, proficiency score was associated with 1-year trifecta achievement (odds ratio, 8.77; 95% confidence interval, 2.42-31.7; p = 0.001). After multivariable adjustments for age, nerve-sparing, and surgical technique, the proficiency score independently predicted 1-year trifecta achievement (odds ratio, 9.58; 95% confidence interval, 1.83-50.1; p = 0.007).

Conclusions

Our findings support the use of proficiency scores in patients and require extended PLND in addition to RARP.

Artificial Intelligence-Enabled Prostate Cancer Diagnosis and Prognosis: Current State and Future Implications

In this modern era of digital pathology, artificial intelligence (AI)-based diagnostics for prostate cancer has become a hot topic. Multiple retrospective studies have demonstrated the benefits of AI-based diagnostic solutions for prostate cancer that includes improved prostate cancer detection, quantification, grading, interobserver concordance, cost and time savings, and a potential to reduce pathologists' workload and enhance pathology laboratory workflow. One of the major milestones is the Food and Drug Administration approval of Paige prostate AI for a second review of prostate cancer diagnosed using core needle biopsies. However, implementation of these AI tools for routine prostate cancer diagnostics is still lacking. Some of the limiting factors include costly digital pathology workflow, lack of regulatory guidelines for deployment of AI, and lack of prospective studies demonstrating the actual benefits of AI algorithms. Apart from diagnosis, AI algorithms have the potential to uncover novel insights into understanding the biology of prostate cancer and enable better risk stratification, and prognostication. This article includes an in-depth review of the current state of AI for prostate cancer diagnosis and highlights the future prospects of AI in prostate pathology for improved patient care.

Prediction model of gleason score upgrading after radical prostatectomy based on a bayesian network

OBJECTIVE

To explore the clinical value of the Gleason score upgrading (GSU) prediction model after radical prostatectomy (RP) based on a Bayesian network.

METHODS

The data of 356 patients who underwent prostate biopsy and RP in our hospital from January 2018 to May 2021 were retrospectively analysed. Fourteen risk factors, including age, body mass index (BMI), total prostate-specific antigen (tPSA), prostate volume, total prostate-specific antigen density (PSAD), the number and proportion of positive biopsy cores, PI-RADS score, clinical stage and postoperative pathological characteristics, were included in the analysis. Data were used to establish a prediction model for Gleason score elevation based on the tree augmented naive (TAN) Bayesian algorithm. Moreover, the Bayesia Lab validation function was used to calculate the importance of polymorphic Birnbaum according to the results of the posterior analysis and to obtain the importance of each risk factor.

RESULTS

In the overall cohort, 110 patients (30.89%) had GSU. Based on all of the risk factors that were included in this study, the AUC of the model was 81.06%, and the accuracy was 76.64%. The importance ranking results showed that lymphatic metastasis, the number of positive biopsy cores, ISUP stage and PI-RADS score were the top four influencing factors for GSU after RP.

CONCLUSIONS

The prediction model of GSU after RP based on a Bayesian network has high accuracy and can more accurately evaluate the Gleason score of prostate biopsy specimens and guide treatment decisions.

Validation of Epstein criteria and development of a nomogram for active surveillance in a contemporary Chinese population

PURPOSE

To evaluate the Epstein criteria for insignificant prostate cancer (CaP) prediction in a contemporary Chinese population, and to develop a risk model with combined clinical and systematic biopsy and targeted biopsy parameters for active surveillance.

METHODS

A total of 249 CaP patients with biopsy Gleason score (GS) of 6 were included. One hundred and one patients were eligible for insignificant CaP on final pathology (GS ≤6 and organ-confined). Diagnostic tests were used to validate the ability of the 2 Epstein criteria. Univariate and multivariate regression analyses were performed to identify predictors of insignificant CaP for the development of predictive models. Receiver operating characteristics analysis was used to select the best model, followed by risk nomogram construction and internal validation.

RESULTS

There were 47 patients met EC1 and 61 met EC2, with pathological upgrading rates of 36% and 41%, respectively, and 70% (71/101) and 64% (65/101) were missed, with areas under the curve of 0.591 and 0.594, respectively. Four prediction models were developed using regression analysis, and model 2 incorporating age, prostate-specific antigen density, maximum percentage of core involvement at systematic biopsy, and percentage of positive cores at targeted biopsy showed the best diagnostic value (area under the curve = 0.731, sensitivity 62.4%, specificity 77.0%) and was used to construct the nomogram. Calibration curves and decision curve analysis demonstrated favorable calibration (mean absolute error 0.048) and clinical benefits of the novel nomogram.

CONCLUSION

The Epstein criteria need to be revised by incorporating targeted biopsy parameters to improve diagnostic performance, and a novel nomogram was developed with better prediction of insignificant CaP.

Explainable ML models for a deeper insight on treatment decision for localized prostate cancer

Although there are several decision aids for the treatment of localized prostate cancer (PCa), there are limitations in the consistency and certainty of the information provided. We aimed to better understand the treatment decision process and develop a decision-predicting model considering oncologic, demographic, socioeconomic, and geographic factors. Men newly diagnosed with localized PCa between 2010 and 2015 from the Surveillance, Epidemiology, and End Results Prostate with Watchful Waiting database were included (n = 255,837). We designed two prediction models: (1) Active surveillance/watchful waiting (AS/WW), radical prostatectomy (RP), and radiation therapy (RT) decision prediction in the entire cohort. (2) Prediction of AS/WW decisions in the low-risk cohort. The discrimination of the model was evaluated using the multiclass area under the curve (AUC). A plausible Shapley additive explanations value was used to explain the model's prediction results. Oncological variables affected the RP decisions most, whereas RT was highly affected by geographic factors. The dependence plot depicted the feature interactions in reaching a treatment decision. The decision predicting model achieved an overall multiclass AUC of 0.77, whereas 0.74 was confirmed for the low-risk model. Using a large population-based real-world database, we unraveled the complex decision-making process and visualized nonlinear feature interactions in localized PCa.

Natural history of incidentally diagnosed prostate cancer after holmium laser enucleation of the prostate

OBJECTIVES

There is no consensus on the management plan for incidental prostate cancer (IPCa) after holmium laser enucleation of the prostate (HoLEP). This study aims to investigate the natural course of this disease and suggest appropriate treatment in real clinical practice.

METHODS

The medical records of a prospective cohort of patients with LUTS/BPH who underwent HoLEP between July 2008 and December 2020 at Seoul National University Hospital were retrospectively reviewed. Patients who underwent HoLEP for palliative purpose of prostate cancer control were excluded. The natural history of IPCa was assessed by the clinician in a descriptive manner for each treatment option.

RESULTS

Among 2630 patients, 141 (5.4%) were diagnosed with IPCa after HoLEP. Pathologic T stage and magnetic resonance imaging results were highly associated with the physician's primary treatment decision-making for IPCa. Active surveillance (AS) was performed in 80% of patients, of whom 90% underwent follow-up without intervention, while the remaining 10% underwent deferred active treatment with a median follow-up of 46.3 months due to International Society of Urological Pathology grade group upgrading or increasing core involvement percentage. Meanwhile, 20% of patients underwent immediate active treatment. With a median follow-up period of 88.3 months after treatment, only one of 25 patients had biochemical recurrence.

CONCLUSIONS

The incidence of IPCa after HoLEP was 5.4%, and among these, approximately 20% proceeded with immediate definitive therapy and an additional 6% ultimately received definitive therapy within a median of 4 years of AS but showed excellent oncological outcomes.

Nurturing the marriages of urinary liquid biopsies and nano-diagnostics for precision urinalysis of prostate cancer

Prostate cancer remains the second-most common cancer diagnosed in men, despite the increasingly widespread use of serum prostate-specific antigen (PSA) screening. The controversial clinical implications and cost benefits of PSA screening have been highlighted due to its poor specificity, resulting in a high rate of overdiagnosis and underdiagnosis. Thus, the development of novel biomarkers for prostate cancer detection remains an intriguing challenge. Urine is emerging as a source for prostate cancer biomarker discovery. Currently, new urine biomarkers already outperform serum PSA in clinical diagnosis. Meanwhile, the advances in nanotechnology have provided a suite of diagnostic tools to study prostate cancer in more detail, sparking a new era of biomarker discoveries. In this review, we envision that future prostate cancer diagnosis will probably integrate multiplex nano-diagnostic approaches to detect novel urinary biomarkers. However, challenges remain in differentiating indolent from aggressive cancers to better inform treatment decisions, and clinical translation still needs to be overcome.

The rising incidence of ductal adenocarcinoma and intraductal carcinoma of the prostate: Diagnostic accuracy of biopsy, MRI-visibility, and outcomes

INTRODUCTION

Ductal adenocarcinoma (DA) and intraductal carcinoma (IDC) of the prostate are associated with higher stage disease at radical prostatectomy (RP). We evaluated diagnostic accuracy of biopsy, MRI-visibility, and outcomes for patients undergoing RP with DA/IDC histology compared to pure acinar adenocarcinoma (AA) of the prostate.

MATERIALS AND METHODS

A retrospective cohort study of men receiving RP between 2014 and 2021 revealing AA, DA, or IDC on final pathology was conducted. Multivariable logistic regression and Cox proportional hazards regression models were employed.

RESULTS

A total of 609 patients were included with 103 found to have DA/IDC. Patients with DA/IDC were older and had higher PSA, biopsy grade group (GG), RP GG, and other pathologic findings (extraprostatic extension, lymphovascular invasion, perineural invasion, pN stage) compared to AA patients (all P < 0.05). On multivariable analysis, higher age, RP GG, and pT3a were associated with DA/IDC on RP (all P < 0.05). Sensitivity and specificity of biopsy compared to RP for diagnosis of DA/IDC was 29.1% (16.7% DA, 27.8% IDC) and 96.6% (99.3% DA, 96.6% IDC), respectively. In a subset of 281 men receiving MRI, PI-RADS distribution was similar for patients with DA/IDC vs. AA (90.7% vs. 80.7% with PI-RADS 4-5 lesions, P = 0.23) with slightly higher biopsy sensitivity (41.9%). DA/IDC was associated with worse BCR (HR = 1.77, P = 0.02) but not biopsy DA/IDC (P = 0.90).

CONCLUSIONS

Sensitivity of prostate biopsy was low for detection of DA/IDC histology at RP. Patients with DA/IDC histology had unfavorable pathologic features at RP and worse BCR. Of patients with DA/IDC at RP, 90.7% were categorized as PI-RADS 4 to 5 on preoperative MRI.

Adverse upgrading and/or upstaging in contemporary low-risk prostate cancer patients

BACKGROUND

Upgrading and/or upstaging in low-risk prostate cancer (PCa) patients may represent an indication for active treatment instead of active surveillance (AS). We addressed contemporary upgrading and/or upstaging rates in a large population based-cohort of low-risk PCa patients.

MATERIALS AND METHODS

Whitin the SEER database (2010-2015), NCCN low-risk PCa patients were identified across management modalities: radical prostatectomy (RP), radiotherapy (RT) and non-local treatment (NLT). In RP patients, upgrading and/or upstaging rates were assessed in logistic regression models.

RESULTS

Overall, of 27,901 low-risk PCa patients, 38% underwent RP vs 28% RT vs 34% NLT. RP patients were the youngest and harbored the highest percentage of positive cores and a higher rate of cT2a than NLT. At RP, 46.2% were upgraded to GGG ≥ 2, 6.0% to GGG ≥ 3 and 10.5% harbored nonorgan-confined stage (NOC, pT3-4 or pN1). Of NOC patients, 1.6% harbored GGG ≥ 3, 6.3% harbored GGG2 and 2.6% harbored GGG1. Of pT2 patients, 4.4% harbored GGG ≥ 3, 33.9% harbored GGG2 and 51.3% harbored GGG1. Age, PSA, percentage of positive cores and number of positive cores independently predicted the presence of NOC and/or GGG ≥ 3, but with low accuracy (63.9%).

CONCLUSIONS

In low-risk PCa, critical changes between tumor grade and stage at biopsy vs RP may be expected in very few patients: NOC with GGG ≥ 3 in 1.6% and NOC with GGG2 in 6.3%. Other patients with upgrading and/or upstaging combinations will invariably harbor either pT2 or GGG1 that far less critically affect PCa prognosis.

Targeted Multiparametric Magnetic Resonance Imaging/Ultrasound Fusion Biopsy for Quantitative Gleason 4 Grading Prediction in Radical Prostatectomy Specimens: Implications for Active Surveillance Candidate Selection

BACKGROUND

Quantitative Gleason grading appears to be a reliable prognostic parameter and provides broader risk stratification then the traditional Gleason grading in patients with prostate cancer (PCa) treated with radical prostatectomy (RP).

OBJECTIVE

To determine if quantification of Gleason pattern (GP) 4 for targeted and systematic biopsy (TBx + SBx) cores together with further clinical variables can identify the lowest quantitative GP 4 fraction on RP.

DESIGN, SETTING, AND PARTICIPANTS

A total of 548 patients underwent TBx + SBx of the prostate and then RP, with pathology revealing Gleason score 3 + 4, 4 + 3, or 4 + 4 disease.

INTERVENTION

TBx + SBx of the prostate followed by RP.

OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS

GP 4 fraction thresholds of ≤5%, ≤10%, ≤15%, ≤20%, and ≤25% were compared between the TBx + SBx and RP specimens. The sensitivity, specificity, negative predictive value (NPV), positive predictive value (PPV), and accuracy for predicting the GP 4 fraction in the RP specimen were determined. Logistic regression models were used to establish a probabilistic relationship between various combinations of clinical and biopsy variables and the GP 4 fraction in the RP specimen.

RESULTS AND LIMITATIONS

GP 4 fractions of ≤5%, ≤10%, ≤15%, ≤20%, and ≤25% was observed in 33%, 49%, 58%, 65%, and 70% of patients on TBx, and 18%, 41%, 53%, 63%, and 70% of patients on RP, respectively. The sensitivity, specificity, NPV, PPV, and accuracy were 75%, 67%, 91%, 39%, and 74% for a TBx GP 4 fraction of ≤5%, and 65%, 85%, 65%, 85%, and 79% for a TBx GP 4 fraction of ≤25%, respectively. A model combining quantified TBx + SBx GP 4 with clinical parameters demonstrated the highest diagnostic accuracy. Limitations include the retrospective study design.

CONCLUSIONS

Our results demonstrate that the combination of MRI-TBx + SBx and GP 4 quantification allowed precise detection of a low fraction of GP 4 when using RP specimens as the reference standard. Moreover, we found that clinical variables including Prostate Imaging-Reporting and Data System score without biopsy are limited in detection of low GP 4 fractions.

PATIENT SUMMARY

Combination of targeted biopsy alone as well as combined with systematic biopsy and quantitative Gleason grading of biopsy specimen showed high agreement with pathology findings after surgical removal of the prostate. This could help in identifying patients who are suitable for active surveillance.

The current role of MRI for guiding active surveillance in prostate cancer

Active surveillance (AS) is the recommended treatment option for low-risk and favourable intermediate-risk prostate cancer management, preserving oncological and functional outcomes. However, active monitoring using relevant parameters in addition to the usual clinical, biological and pathological considerations is necessary to compensate for initial undergrading of the tumour or to detect early progression without missing the opportunity to provide curative therapy. Indeed, several studies have raised concerns about inadequate biopsy sampling at diagnosis. However, the implementation of baseline MRI and targeted biopsy have led to improved initial stratification of low-risk disease; baseline MRI correlates well with disease characteristics and AS outcomes. The use of follow-up MRI during the surveillance phase also raises the question of the requirement for serial biopsies in the absence of radiological progression and the possibility of using completely MRI-based surveillance, with triggers for biopsies based solely on MRI findings. This concept of a tailored-risk, imaging-based monitoring strategy is aimed at reducing invasive procedures. However, the abandonment of serial biopsies in the absence of MRI progression can probably not yet be recommended in routine practice, as the data from real-life cohorts are heterogeneous and inconclusive. Thus, the evolution towards a routine, fully MRI-guided AS pathway has to be preceded by ensuring quality programme assessment for MRI reading and by demonstrating its safety in prospective trials.

Angioprevention of Urologic Cancers by Plant-Derived Foods

The number of cancer cases worldwide keeps growing unstoppably, despite the undeniable advances achieved by basic research and clinical practice. Urologic tumors, including some as prevalent as prostate, bladder or kidney tumors, are no exceptions to this rule. Moreover, the fact that many of these tumors are detected in early stages lengthens the duration of their treatment, with a significant increase in health care costs. In this scenario, prevention offers the most cost-effective long-term strategy for the global control of these diseases. Although specialized diets are not the only way to decrease the chances to develop cancer, epidemiological evidence support the role of certain plant-derived foods in the prevention of urologic cancer. In many cases, these plants are rich in antiangiogenic phytochemicals, which could be responsible for their protective or angiopreventive properties. Angiogenesis inhibition may contribute to slow down the progression of the tumor at very different stages and, for this reason, angiopreventive strategies could be implemented at different levels of chemoprevention, depending on the targeted population. In this review, epidemiological evidence supporting the role of certain plant-derived foods in urologic cancer prevention are presented, with particular emphasis on their content in bioactive phytochemicals that could be used in the angioprevention of cancer.

Glycoforms of human prostate-specific membrane antigen (PSMA) in human cells and prostate tissue

INTRODUCTION

N-glycosylation is a ubiquitous and variable posttranslational modification that regulates physiological functions of secretory and membrane-associated proteins and the dysregulation of glycosylation pathways is often associated with cancer growth and metastasis. Prostate-specific membrane antigen (PSMA) is an established biomarker for prostate cancer imaging and therapy.

METHODS

Mass spectrometry was used to analyze the distribution of the site-specific glycoforms of PSMA in insect, human embryonic kidney, and prostate cancer cells, and in prostate tissue upon immunoaffinity enrichment.

RESULTS

While recombinant PSMA expressed in insect cells was decorated mainly by paucimannose and high mannose glycans, complex, hybrid, and high mannose glycans were detected in samples from human cells and tissue. We noted an interesting spatial distribution of the glycoforms on the PSMA surface-high mannose glycans were the dominant glycoforms at the N459, N476, and N638 sequons facing the plasma membrane, while the N121, N195, and N336 sites, located at the exposed apical PSMA domain, carried primarily complex glycans. The presence of high mannose glycoforms at the former sequons likely results from the limited access of enzymes of the glycosynthetic pathway required for the synthesis of the complex structures. In line with the limited accessibility of membrane-proximal sites, no glycosylation was observed at the N51 site positioned closest to the membrane.

CONCLUSIONS

Our study presents initial descriptive analysis of the glycoforms of PSMA observed in cell lines and in prostate tissue. It will hopefully stimulate further research into PSMA glycoforms in the context of tumor staging, noninvasive detection of prostate tumors, and the impact of glycoforms on physicochemical and enzymatic characteristics of PSMA in a tissue-specific manner.

Hidden clues in prostate cancer - Lessons learned from clinical and pre-clinical approaches on diagnosis and risk stratification

The heterogeneity of prostate cancer is evident at clinical, morphological and molecular levels. To aid clinical decision making, a three-tiered system for risk stratification is used to designate low-, intermediate-, and high-risk of disease progression. Intermediate-risk prostate cancers are the most frequently diagnosed, and even with common diagnostic features, can exhibit vastly different clinical progression. Thus, improved risk stratification methods are needed to better predict patient outcomes. Here, we provide an overview of the improvements in diagnosis/prognosis arising from advances in pathology reporting of prostate cancer, which can improve risk stratification, especially for patients with intermediate-risk disease. This review discusses updates to pathology reporting of morphological growth patterns, and proposes the utility of integrating prognostic biomarkers or innovative imaging techniques to enhance clinical decision-making. To complement clinical studies, experimental approaches using patient-derived tumors have highlighted important cellular and morphological features associated with aggressive disease that may impact treatment response. The intersection of urology, pathology and scientific disciplines is required to work towards a common goal of understanding disease pathogenesis, improving the stratification of patients with intermediate-risk disease and subsequently defining optimal treatment strategies using precision-based approaches.

Association of germline rare pathogenic mutations in guideline-recommended genes with prostate cancer progression: A meta-analysis

BACKGROUND

Germline mutations in several genes, mainly DNA repair genes, have been associated with prostate cancer (PCa) progression. However, primarily due to the rarity of mutations, statistical evidence for these associations is not consistently established. The objective of this study is to synthesize evidence from multiple studies using a meta-analysis.

METHODS

Genes analyzed were chosen based on National Comprehensive Cancer Network guidelines recommendations (10 genes) and a commonly reported gene (NBN). PCa progression in this analysis was defined as either having metastases or PCa-specific mortality. We searched PubMed for papers published before April 26, 2021, using selected keywords. Pooled odds ratio (OR) was estimated in all races and Caucasians-only using both fixed- and random-effect models.

RESULTS

The search identified 1028 papers and an additional five from a manual review of references. After a manual process that excluded noneligible studies, 11 papers remained, including a total of 3944 progressors and 20,054 nonprogressors. Combining results from these eligible studies, mutation carrier rates were significantly higher in progressors than nonprogressors for NBN, BRCA2, ATM (under both fixed- and random-effect models), for CHEK2 (under fixed-effect model only), and for PALB2 (under random-effect model only), p < 0.05. Pooled OR (95% confidence interval) was 6.38 (2.25-18.05), 3.41 (2.31; 5.03), 1.93 (1.17-3.20), and 1.53 (1.00-2.33) for NBN, BRCA2, ATM, and CHEK2, respectively, under fixed-effect model and 2.63 (1.12-6.13) for PALB2 under random-effect model. No significant association was found for the six remaining genes. Certainty of evidence was low for many genes due primarily to the limited number of eligible studies and mutation carriers.

CONCLUSIONS

Statistical evidence for five genes was obtained in this first meta-analysis of germline mutations and PCa progression. While these results may help urologists and genetic counselors interpret germline testing results for PCa progression, more original studies are needed.

On the Road to Accurate Protein Biomarkers in Prostate Cancer Diagnosis and Prognosis: Current Status and Future Advances

Prostate cancer (PC) is a leading cause of morbidity and mortality among men worldwide. Molecular biomarkers work in conjunction with existing clinicopathologic tools to help physicians decide who to biopsy, re-biopsy, treat, or re-treat. The past decade has witnessed the commercialization of multiple PC protein biomarkers with improved performance, remarkable progress in proteomic technologies for global discovery and targeted validation of novel protein biomarkers from clinical specimens, and the emergence of novel, promising PC protein biomarkers. In this review, we summarize these advances and discuss the challenges and potential solutions for identifying and validating clinically useful protein biomarkers in PC diagnosis and prognosis. The identification of multi-protein biomarkers with high sensitivity and specificity, as well as their integration with clinicopathologic parameters, imaging, and other molecular biomarkers, bodes well for optimal personalized management of PC patients.

Prostate Health Index and Multiparametric MRI: Partners in Crime Fighting Overdiagnosis and Overtreatment in Prostate Cancer

Simple Summary

In the last decades, the widespread use of PSA as the standard tool for prostate cancer diagnosis led to a high rate of overdiagnosis and overtreatment. More recently, multiparametric magnetic resonance imaging (mpMRI) became part of the diagnostic pathway, and several next-generation PSA-based tests (PHI, PHI density, 4Kscore, STHLM3) have been proposed. The multivariable approach promises to help with a better stratification of PCa patients at initial diagnosis. In this study, we evaluated the performance of the prostate health index (PHI) and mpMRI for the prediction of positive biopsy and of high-grade PCa at radical prostatectomy (RP). Our findings suggested that PHI had a better ability than mpMRI to predict positive biopsy, whereas a comparable performance in the identification of pathological aggressive PCa was pointed out. Notably, PHI and PHI density might represent useful biomarkers to recognize high-grade PCa in patients with low or uncertain PI-RADS scores on mpMRI.

Abstract

Widespread use of PSA as the standard tool for prostate cancer (PCa) diagnosis led to a high rate of overdiagnosis and overtreatment. In this study, we evaluated the performance of the prostate health index (PHI) and multiparametric magnetic resonance imaging (mpMRI) for the prediction of positive biopsy and of high-grade PCa at radical prostatectomy (RP). To this end, we prospectively enrolled 196 biopsy-naïve patients who underwent mpMRI. A subgroup of 116 subjects with biopsy-proven PCa underwent surgery. We found that PHI significantly outperformed both PI-RADS score (difference in AUC: 0.14; p < 0.001) and PHI density (difference in AUC: 0.08; p = 0.002) in the ability to predict positive biopsy with a cut-off value of 42.7 as the best threshold. Conversely, comparing the performance in the identification of clinically significant prostate cancer (csPCa) at RP, we found that PHI ≥ 61.68 and PI-RADS score ≥ 4 were able to identify csPCa (Gleason score ≥ 7 (3 + 4)) both alone and added to a base model including age, PSA, fPSA-to-tPSA ratio and prostate volume. In conclusion, PHI had a better ability than PI-RADS score to predict positive biopsy, whereas it had a comparable performance in the identification of pathological csPCa.

African American Men have Increased Risk of Prostate Cancer Detection Despite Similar Rates of Anterior Prostatic Lesions and PI-RADS Grade on Multiparametric Magnetic Resonance Imaging

OBJECTIVE

To determine whether the frequency of anterior prostate lesions (APL) on multiparametric magnetic resonance imaging (mpMRI) prior to biopsy differed between African American (AA) and non-AA men and evaluate implications of race and tumor location for prostate cancer (PCa) detection.

METHODS

Patients from the Prospective Loyola University mpMRI (PLUM) Prostate Biopsy Cohort (January 2015-December 2020) without prior diagnosis of PCa were evaluated for APLs by race. Multivariable logistic regression models evaluated predictors of APLs and associations of APLs and race with detection of any PCa (grade group 1+) and clinically significant PCa (csPCa; grade group 2+). Additional stratified and propensity score matched analyses were conducted.

RESULTS

Of 1,239 men included, 190 (15.3%) were AA and 302 (24.4%) had at least one APL with no differences by race on multivariable analysis. While men with APLs were twice as likely to harbor PCa or csPCa, the unadjusted proportion of targeted biopsy-confirmed APL PCa (12.6% vs 12.0%) or csPCa (8.4% vs 8.9%) were similar for AA and non-AA men. AA men had higher risk of prostate cancer on targeted cores (OR 1.66 (95%CI 1.06 - 2.61), P = 0.026) which was independent of lesion location or PI-RADS.

CONCLUSION

AA men were found to have similar rates of APLs on mpMRI to non-AA men indicating access to mpMRI may mitigate some of the historical racial disparity based on lesion location. AA men have increased risk of PCa detection compared to non-AA men independent of anterior location or lesion grade on mpMRI reinforcing the importance of identifying genetic, biologic, and socioeconomic drivers.

Prediction of Grade Reclassification of Prostate Cancer Patients on Active Surveillance through the Combination of a Three-miRNA Signature and Selected Clinical Variables

Simple Summary

Active surveillance (AS) has evolved as an alternative to radical treatment for potentially indolent prostate cancer. However, current selection criteria for entering AS are suboptimal, and a significant percentage of patients discontinue AS because of disease reclassification. Hence, there is an unmet need for novel biomarkers for the accurate identification of high-risk PCa and the unequivocal classification of indolent disease. Circulating biomarkers, including microRNAs identified through liquid biopsies, represent a valuable approach to improve on currently available clinicopathological risk-stratification tools. In an attempt to identify specific microRNA signatures as potential circulating biomarkers, the authors performed an unprecedented analysis of the global microRNA profile in plasma samples from AS patients and identified and validated a three-microRNA signature able to predict patient reclassification. The addition of the three-microRNA signature was able to improve the performance of currently available clinicopathological variables, thus showing potential for the refinement of AS patients’ selection.

Abstract

Active surveillance (AS) has evolved as a strategy alternative to radical treatments for very low risk and low-risk prostate cancer (PCa). However, current criteria for selecting AS patients are still suboptimal. Here, we performed an unprecedented analysis of the circulating miRNome to investigate whether specific miRNAs associated with disease reclassification can provide risk refinement to standard clinicopathological features for improving patient selection. The global miRNA expression profiles were assessed in plasma samples prospectively collected at baseline from 386 patients on AS included in three independent mono-institutional cohorts (training, testing and validation sets). A three-miRNA signature (miR-511-5p, miR-598-3p and miR-199a-5p) was found to predict reclassification in all patient cohorts (training set: AUC 0.74, 95% CI 0.60–0.87, testing set: AUC 0.65, 95% CI 0.51–0.80, validation set: AUC 0.68, 95% CI 0.56–0.80). Importantly, the addition of the three-miRNA signature improved the performance of the clinical model including clinicopathological variables only (AUC 0.70, 95% CI 0.61–0.78 vs. 0.76, 95% CI 0.68–0.84). Overall, we trained, tested and validated a three-miRNA signature which, combined with selected clinicopathological variables, may represent a promising biomarker to improve on currently available clinicopathological risk stratification tools for a better selection of truly indolent PCa patients suitable for AS.