Biochemical Recurrence Research Articles

Early oncological outcomes of delayed radical prostatectomy: A prospective, international, follow‐up analysis of the COVIDSurg‐Cancer study

AbstractObjectivesThe objective of this study is to compare the early oncological outcomes of delayed (>90 days) versus scheduled (≤90 days) radical prostatectomy (RP).Patients and methodsPatients with prostate cancer due to undergo surgery between March 2020 and June 2020 who were enrolled in the COVIDSurg‐Cancer international, observational study were prospectively followed up for 1 year. Time to surgery was defined as the difference between the operation date and the multi‐disciplinary team decision to offer surgery. The primary outcome was the positive surgical margin (PSM) rate. Biochemical recurrence (BCR), upgradation and upstaging were secondary oncological outcomes. The Independent t‐test and Mann Whitney U test were used to compare means between groups and regression models and were used to investigate factors associated with the primary outcome.ResultsFour hundred seventy‐six (78.7%) patients underwent RP from 605 that were eligible. Three hundred seven (64.5%) patients underwent scheduled RP, and 169 (35.5%) underwent delayed RP. A small proportion of men (n = 35, 6.8%) did not undergo RP within the 1‐year follow‐up period. More men with high‐risk disease (72.8%) underwent scheduled RP compared to men with intermediate‐risk disease (60.2%) (p < 0.05). There was no statistically significant difference in the PSM rate between the two groups (p = 0.512). Delay in surgery was not associated with an increased PSM or BCR on univariable or multivariable analyses. There was statistically significantly greater upstaging (p < 0.05) in the delayed group but no difference in upgradation.ConclusionHigh‐risk men were prioritised for surgery during the COVID‐19 pandemic. Our prospective data support previous retrospective, cancer‐registry evidence suggesting no adverse oncological impact after delaying RP across all risk groups. Our study is limited by the short follow‐up period, and therefore, longer term conclusions cannot be drawn.

Role of Liquid Biopsy in Progressive PSA Patients after Radical Prostatectomy.

Background/Objectives: Currently, the prediction of disease recurrence after radical prostatectomy (RP) in localized prostate cancer (PCa) relies on clinicopathological parameters, which lack accuracy in predicting clinical outcomes. This study focused on evaluating the utility of cfDNA levels and fragmentation patterns as prognostic biomarkers in progressive prostate-specific antigen (PSA) patients, including those with persistent PSA and biochemical recurrence (BR), after primary treatment in localized PCa patients. Methods: Twenty-nine high-risk localized PCa patients were enrolled in the study between February 2022 and May 2023. Blood samples were obtained before robotic RP. cfDNA concentration and fragment size were quantified using the Quant-it PicoGreen dsDNA Assay kit and Agilent 2200 TapeStation System, respectively. Results: The mean PSA value at diagnosis was 9.4 ng/mL. Seven patients (24.1%) had stage pT2 and 22 (75.9%) pT3. Nine patients (31%) had detectable PSA at the first PSA control six weeks after surgery, and four patients (20%) had BR during a mean follow-up of 18.4 months. No associations were found between cfDNA levels or fragmentation patterns and clinicopathological data. Although not statistically significant, patients with detectable PSA levels post-surgery exhibited higher cfDNA levels and shorter fragments compared with those with undetectable PSA. Conclusions: Our study indicated a tendency toward more fragmented cfDNA levels in PCa patients with persistent PSA. Strikingly, biochemical recurrent PCa patients exhibited similar cfDNA levels and fragmentation patterns compared to non-recurrent patients. Further studies exploring liquid biopsy-derived biomarkers in localized PCa patients are needed to elucidate their clinical utility in predicting PSA persistence.

Associations of prostate tumor immune landscape with vigorous physical activity and prostate cancer progression.

Vigorous physical activity has been associated with lower risk of fatal prostate cancer. However, mechanisms contributing to this relationship are not understood. We studied 117 men with prostate cancer in the University of North Carolina Cancer Survivorship Cohort (UNC CSC) who underwent radical prostatectomy, and 101 radiation-treated prostate cancer patients in FASTMAN. Structured questionnaires administered in UNC CSC assessed physical activity. In both studies, digital image analysis of H&E-stained tissues was applied to quantify Tumor Infiltrating Lymphocytes (TILs) in segmented regions. Nanostring gene expression profiling in UNC CSC and microarray in FASTMAN were performed on tumor tissue and a 50-gene signature utilized to predict immune cell types. Vigorous recreational activity, reported by 34 (29.1%) UNC men, was inversely associated with TILs abundance. Tumors of men reporting any vigorous activity versus none showed lower gene expression-predicted abundance of Th, exhausted CD4 T cells and macrophages. T cell subsets, including Treg, Th, Tfh, exhausted CD4 T cells, and macrophages were associated with increased risk of biochemical recurrence, only among men with ERG-positive tumors. Vigorous activity was associated with lower prostate tumor inflammation and immune microenvironment differences. Macrophages and T cell subsets, including those with immunosuppressive roles and those with lower abundance in men reporting vigorous exercise, were associated with worse outcomes in ERG-positive prostate cancer. Our novel findings contribute to our understanding of the role of the tumor immune microenvironment in prostate cancer progression, and may provide insight into how vigorous exercise could affect prostate tumor biology.

Prediction of prostate cancer recurrence after radiotherapy using a fused machine learning approach: utilizing radiomics from pretreatment T2W MRI images with clinical and pathological information

The risk of biochemical recurrence (BCR) after radiotherapy for localized prostate cancer (PCa) varies widely within standard risk groups. There is a need for low-cost tools to more robustly predict recurrence and personalize therapy. Radiomic features from pretreatment MRI show potential as noninvasive biomarkers for BCR prediction. However, previous research has not fully combined radiomics with clinical and pathological data to predict BCR in PCa patients following radiotherapy.
Purpose: This study aims to predict 5-year BCR using radiomics from pretreatment T2W MRI and clinical-pathological data in PCa patients treated with radiation therapy, and to develop a unified model compatible with both 1.5T and 3T MRI scanners.
Methods: A total of 150 T2W scans and clinical parameters were preprocessed. Of these, 120 cases were used for training and validation, and 30 for testing. Four distinct machine learning models were developed: Model 1 used radiomics, Model 2 used clinical and pathological data, and Model 3 combined these using late fusion. Model 4 integrated radiomic and clinical-pathological data using early fusion.
Results: Model 1 achieved an AUC of 0.73, while Model 2 had an AUC of 0.64 for predicting outcomes in 30 new test cases. Model 3, using late fusion, had an AUC of 0.69. Early fusion models showed strong potential, with Model 4 reaching an AUC of 0.84, highlighting the effectiveness of the early fusion model.
Conclusions: This study is the first to use a fusion technique for predicting BCR in PCa patients following radiotherapy, utilizing pre-treatment T2W MRI images and clinical-pathological data. The methodology improves predictive accuracy by fusing radiomics with clinical-pathological information, even with a relatively small dataset, and introduces the first unified model for both 1.5T and 3T MRI images.

Preoperative multidisciplinary team meeting improves the incidence of positive margins in pathological T2 prostate cancer

PurposePositive surgical margins (PSM) after robot-assisted radical prostatectomy (RARP) for prostate cancer (PCa) can increase the risk of biochemical recurrence and PCa-specific mortality. We aimed to evaluate the impact of multidisciplinary team meetings (MDTM) on reducing the incidence of PSM following RARP.MethodsWe retrospectively collected the clinical data of consecutive patients undergoing RARP at Hiroshima University between February 2017 and October 2023. The MDTM, comprising a radiologist, uropathologist, and urologist, reviewed the preoperative magnetic resonance imaging (MRI) and prostate biopsy results of each patient before RARP and considered the areas requiring attention during RARP. Surgeons were categorized as experienced or non-experienced based on the number of RARP procedures performed.ResultsIn the pT2 population, the PSM rate was significantly lower in cases evaluated using the MDTM than in those not (11.1% vs. 24.0%; p = 0.0067). Cox regression analysis identified that a PSA level > 7 ng/mL (hazard ratio 2.2799) and nerve-sparing procedures (hazard ratio 2.2619) were independent predictors of increased PSM risk while conducting an MDTM (hazard ratio 0.4773) was an independent predictor of reduced PSM risk in the pT2 population. In the pathological T3 population, there was no significant difference in PSM rates between cases evaluated and not evaluated at an MDTM. In cases evaluated at an MDTM, similar PSM rates were observed regardless of surgeon experience (10.4% for non-experienced and 11.9% for experienced surgeons; p = 0.9999).ConclusionsAn MDTM can improve the PSM rate of pT2 PCa following RARP.

Size and SUVmax define the contribution of nodal metastases to PSA in oligorecurrent prostate cancer.

To evaluate how prostate-specific antigen (PSA) levels decrease after removal of isolated prostate cancer (PCa) nodal metastases in relation to their diameter/volume ("PSA-density of PCa-metastases") and maximum standardized uptake value (SUVmax). A total of 83 consecutive patients with solitary nodal recurrence after radical prostatectomy who underwent prostate-specific membrane antigen-radioguided salvage surgery were retrospectively analyzed. Using multivariable linear regression models, the PSA-decrease after removal of each PCa-metastases (=PSA-contribution of each PCa-metastases) was correlated with the long axis diameter/estimated volume and the SUVmax of each removed metastasis. Sizes were measured by imaging and histopathologic examination. A total of 83 patients were included with a median (interquartile range [IQR]) PSA-decrease of 0.56 [0.22, 1.31] ng/mL after salvage surgery. The median [IQR] long axis diameters in imaging and histopathological examination were 8.0 [6.0, 11.0] mm and 8.4 [5.5, 11.1] mm, respectively. The median [IQR] estimated volumes were 0.13 [0.05, 0.32] cc (imaging) and 0.05 [0.02, 0.17] cc (pathology). In multivariable linear regression analyses, the estimated PSA-contribution ([95% confidence interval [CI]) of each millimeter of long axis diameter was 0.09 [0.03, 0.14] ng/mL (imaging) or 0.08 [0.03, 0.12] ng/mL (histology). The minimum diameter for biochemical recurrence (PSA ≥ 0.2 ng/mL) was >2.2 mm (imaging) or >2.5 mm (histology). The estimated PSA-contribution [95% CI] of each cc cancer volume was 1.23 [0.51, 1.94] ng/mL (imaging) or 1.46 [0.40, 2.52] ng/mL (histology). SUVmax as surrogate parameter for tissue composition was associated with increased PSA-contribution of PCa-metastases (+0.03-0.05 ng/mL per unit increase). The diameter/volume and SUVmax of metastatic tissue correlate with its contribution to PSA levels. Therefore, very small metastases may produce too little PSA for biochemical recurrence.

The Androgen Deprivation Therapy Landscape in 2024 – Co-navigating the Available Options with Prostate Cancer Patients

This symposium convened during the 2024 European Association of Urology (EAU) Congress in Paris, France, focusing on the multifaceted aspects of prostate cancer (PCa) treatment from the patient’s perspective. The session delved into the nuanced needs, expectations, and treatment experiences encountered by individuals diagnosed with this condition. A pivotal aspect of the discussion centred on the imperative of ensuring patient awareness and informed consent, particularly concerning androgen deprivation therapy (ADT), given its array of potential side effects. ADT, a cornerstone in advanced PCa management, encompasses a spectrum of side effects including both physical and psychological dimensions. These include, but are not limited to, body hair loss, weight fluctuations, mood alterations, decreased libido, cognitive impairments, muscle atrophy, and bone density loss. Effective management of these side effects requires comprehensive support to be provided to patients to mitigate complications and optimise quality of life. The options for ADT were discussed, with their comparative strengths and challenges. ADT strategies take effect over different time periods (from 12 hours up to 4 weeks), exert varying effects on testosterone levels, and carry different side effect profiles. Selecting the optimal course of treatment for localised or locally advanced PCa requires consideration of whether the patient is at intermediate-, high-, or very high-risk of biochemical recurrence, and whether the intermediate-risk disease is classified as favourable intermediate-risk (FIR) or unfavourable intermediate-risk (UIR). While continuous ADT is the standard of care, intermittent ADT has been associated with significantly better quality of life scores for hot flushes, desire for sexual activity, and urinary symptoms, with a trend toward improvement in the level of fatigue. Furthermore, the interplay between PCa, ADT, and cardiovascular disease (CVD) was discussed to underscore the imperative for clinicians to assess the cardiovascular risks associated with ADT, particularly in patients with heightened cardiovascular vulnerability. Mitigating the adverse skeletal effects of ADT mandates a multifaceted approach encompassing nutritional supplementation, exercise regimens, and lifestyle modifications including alcohol cessation and smoking cessation. Integrating a prehabilitation checklist into clinical practice emerges as a pragmatic strategy to facilitate informed discussions regarding the potential adverse effects of ADT, enabling proactive support provision to optimise patient outcomes.

Patterns of failure with 18F-DCFPyL PSMA-PET/CT in the post-prostatectomy setting: A regional cohort analysis.

This study aimed to assess the detection rate of prostate cancer recurrence by prostate-specific member antigen positron emission tomography/computed tomography (PSMA PET/CT) with 18F-DCFPyL in patients with residual disease or biochemical recurrence (BCR), and its association with surgical pathology and prostate-specific antigen (PSA) kinetics. Men from South Central Ontario enrolled in the PSMA Registry for Recurrent Prostate cancer (PREP) between April 2019 and December 2021 after radical prostatectomy (RP) and who had 1) pathologic stage N1 or persistent elevated PSA; or 2) BCR (PSA >0.10 ng/mL) where initial postoperative PSA was undetectable were included. A total of 169 men (median age 68 years; interquartile range [IQR] 62-71) with complete data met the above criteria. The median PSA was 0.27 ng/mL (IQR 0.16-0.85) prior to PSMA-PET. Overall positivity rate 59%; when PSA was <0.40 ng/mL, overall positivity rate 42% vs. 85% with PSA ≥0.40 ng/mL (p<0.001). Higher pathologic tumor stage increased detection of regional lymph nodes (LN) (pT2-3a: 32% vs. pT3b: 69%, p<0.001) but not distant metastases (pT2-3a: 12% vs. pT3b: 24%, p=0.15). PSMA-PET detected 18% with prostate bed, 42% with regional LN disease, and 44% with pelvic-only disease. The three most involved LN chains were the internal (21%) and external (20%) iliac, and obturator chains (16%). This prospective study of patients with residual disease or BCR after RP illustrates patterns of failure that could impact diagnosis and postoperative management. Such patients have significant risk of regional LN positivity on PSMA-PET highlighting a need to include pelvic LN within salvage radiotherapy volumes.

Outstanding increase in tumor-to-background ratio over time allows tumor localization by [89Zr]Zr-PSMA-617 PET/CT in early biochemical recurrence of prostate cancer

BackgroundPositron emission tomography/computed tomography (PET/CT) using prostate-specific membrane antigen (PSMA)-targeted radiotracers labeled with zirconium-89 (89Zr; half-life ~ 78.41 h) showed promise in localizing biochemical recurrence of prostate cancer (BCR) in pilot studies.MethodsRetrospective analysis of 38 consecutive men with BCR (median [minimum–maximum] prostate-specific antigen 0.52 (0.12–2.50 ng/mL) undergoing [89Zr]Zr-PSMA-617 PET/CT post-negative [68Ga]Ga-PSMA-11 PET/CT. PET/CT acquisition 1-h, 24-h, and 48-h post-injection of a median (minimum–maximum) [89Zr]Zr-PSMA-617 tracer activity of 123 (84–166) MBq.Results[89Zr]Zr-PSMA-617 PET/CT detected altogether 57 lesions: 18 local recurrences, 33 lymph node metastases, 6 bone metastases in 30/38 men with BCR (78%) and prior negative conventional PSMA PET/CT. Lesion uptake significantly increased from 1-h to 24-h and, in a majority of cases, from 24-h to 48-h. Tumor-to-background ratios significantly increased over time, with absolute increases of 100 or more. No side effects were noted. After [89Zr]Zr-PSMA-617 PET/CT-based treatment, prostate-specific antigen concentration decreased in all patients, becoming undetectable in a third of patients. Limitations: retrospective, single center design; infrequent histopathological and imaging verification.ConclusionThis large series provides further evidence that [89Zr]Zr-PSMA-617 PET/CT is a beneficial imaging modality to localize early BCR. A remarkable increase in tumor-to-background ratio over time allows localization of tumor unidentified on conventional PSMA PET/CT.

Prostate Cancer and Obesity: Current Hypotheses and Challenges

Prostate cancer is the most common cancer diagnosed in males in the United States. Known prostate cancer risk factors include age, ethnicity, and genetic factors. There is some data suggesting that obesity is a risk factor for numerous aspects related to prostate cancer including prostate cancer development, biochemical recurrence, and prostate cancer mortality. Moreover, there may be potential therapeutic complications in the obese patient. Weight loss has also been shown to benefit the patient with prostate cancer. Finally, obesity may affect the microbiome and other molecular pathways such alterations in adipokine signaling, insulin and the insulin-like growth factor 1 pathway, and effects on the tumor microenvironment (e.g.: ectopic/periprostatic fat). The purpose of this review is to discuss the most current hypotheses on the relationship between obesity and prostate cancer across this broad spectrum of potential relationships.

8117 Late-night Salivary Cortisol in the Diagnosis of Cushing's Disease Recurrence

Abstract Disclosure: A.E. Alexandre: None. P.C. Elias: None. M. De Castro: None. L.M. Mermejo: None. D.C. Aragon: None. A.C. Moreira: None. Cushing’s Disease (CD) remission following transsphenoidal surgery (TSS) is most often defined by low morning cortisol levels and the requirement of glucocorticoid (GC) replacement therapy. However, CD recurrence is not a well studied event. There is no standard definition of remission criteria and no accurate cutoff for biochemical tests on CD recurrence. Late-night salivary cortisol (LNSC) has been shown to have higher accuracy in confirming CD recurrence than urinary free cortisol and dexamethasone suppression test (DST). However, few studies addressed LNSC performance following remission after TSS. The study aimed to establish cutoff values of LNSC with higher sensitivity (S) and specificity (E) in CD recurrence diagnosis.In a retrospective cohort study of 65 patients with remitted CD after TSS, remission was defined as improvement of sign and symptoms related to CD and a plasma cortisol &amp;lt;5mcg/dL in 30 days following TSS. Eleven patients progressed to permanent adrenal insufficiency and were excluded from the study. All 54 patients had at least four LNSC sampling and a minimal follow-up of 24 months after TSS. LNSC was determined by RIA. A cutoff value of 270 ng/dl for LNSC is used for the diagnosis of CD. Patients were divided in three different groups: Overt Recurrence (OR): elevated LNSC and worsening of CD`s signs and symptoms. Remission (RM): normal LNSC and no clinical signs of CD recurrence. Biochemical Recurrence (BR): at least 2 elevated biochemical parameters (LNSC or DST) but no worsening of signs and symptoms associated with CD. The mean of the 2 LNSC last values when OR was diagnosed and the mean of 2 LNSC last values of follow up for RM patients were used to estimate the accuracy of LNSC for diagnosing recurrence using a ROC curve (AUC) and its 95% confidence interval. Of the 54 patients included, 46 females; 8 males; mean age at diagnosis: 32 years, (5 – 58 yrs); mean time of follow-up: 12.8 years (4 – 31.7 yrs). Thirteen were classified as OR, 18 as RM and 23 as BR; and mean time of GC use after TSS was: 8.7; 34 and 17 yrs, respectively, significantly lower in OR compared to RM (p:0.046). A LNSC cutoff value of 272 mcg/dL had sensitivity of 85% and specificity of 95% (AUC: 0.97; 95% IC = [0.93; 1,00]) for CD recurrence diagnosis. BR patients presented LSNC fluctuation along follow-up.LNSC is a useful tool for CD recurrence screening. Setting LSNC specific assay cutoff values might be needed. LSNC cutoff values were similar for the initial CD diagnosis, as well as for CD recurrence diagnosis. Shorter time of GC replacement may be an important predictor of CD recurrence. Patients with BR should be followed more carefully as they may be at higher risk of recurrence. Multiple LNSC sampling on successive days can be easily performed and may detect subtle changes in cortisol rhythm. Presentation: 6/1/2024

B-332 Use of urinary volatile organic compounds in monitoring prostate cancer after radical prostatectomy

Abstract Background Prostate cancer (PCa) is the most commonly diagnosed non-cutaneous cancer among males and the second cause of cancer-related deaths. PCa treatment involves different methods, and most common is radical prostatectomy (RP), which entails removal of prostate-gland from men who have been diagnosed with PCa. Prostatic-specific-antigen (PSA) has been used for detection of recurrent disease for years. After its introduction as biochemical recurrence (BCR) marker, men with distinct diseases were treated similarly. Overtime, it has been observed that PSA relapse presents several meanings according to clinicopathological features, like Gleason score, PSA-doubling-time, clinical stage, surgical margin status. Despite this, PSA remains main tool to assess disease progression after RP. RP remains primary treatment for localized PCa and has been performed for years with excellent oncologic control. However, approximately 20-40% of patients with clinically localized PCa will present biochemical-recurrence (BCR) after RP, while some with recurrent-metastasis. The study aims to investigate potential volatile organic compounds (VOCs) associated with men who have undergone RP but still abhor the disease. Methods Urine samples were collected from 110 male adults with biopsy-proven PCa-positive results before and after RP. VOCs in urine were extracted by stir-bar-sorptive-extraction and analyzed using thermal-desorption with gas chromatography-mass spectrometry. Metabolomics and machine-learning tools used to develop and evaluate models for PCa diagnosis before and after RP. Results PLS-DA and VIP loading plots identified potential VOC panels that could be used to differentiate PCa patients before and after RP and those with BCR and recurrent metastasis. Furthermore, logistic-regression results with validation provide a promising diagnostic model for PCa diagnosis after RP. Conclusions This novel method using urinary VOCs was developed to fill gaps in PCa monitoring after RP. These research findings could aid and fast-track the provision of rapid point of care to the treated PCa patients who still abhor the disease.

Artificial intelligence in prostate cancer: The potential of machine learning models and neural networks to predict biochemical recurrence after robot-assisted radical prostatectomy

ABSTRACT Introduction: This study aimed to evaluate the usefulness of machine learning (ML) and neural network (NN) models versus traditional statistical methods for estimating biochemical recurrence (BCR) in men following robot-assisted radical prostatectomy (RARP). Methods: Patients who underwent RARP from November 2011 to July 2022 were taken in the study. Patients with BCR were assigned to Group 2, whereas those without BCR were placed in Group 1. Preoperative and postoperative parameters, together with demographic data, were recorded in the database. This study used one NN, the radial basis function NN (RBFNN), and two ML approaches, the K-nearest neighbor and XGboost ML models, to predict BCR. Results: Following the application of exclusion criteria, 516 patients were deemed eligible for the study. Of those, 234 (45.3%) developed BCR, and 282 (54.7%) did not. The results showed that the median follow-up period was 24 (15–42) months, and the median BCR diagnosis was 12.23 ± 15.58 months. The area under the curve (AUC) for the Cox proportional hazard analysis was 0.77. The receiver-operating characteristic curves (AUCs) for the XGBoost and K closest neighbor models were 0.82 and 0.69, respectively. The RBFNN’s AUC was 0.82. Conclusions: The classical statistical model was outperformed by XGBoost and RBFNN models in predicting BCR.

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

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

Immunotherapy Vaccines for Prostate Cancer Treatment.

Therapeutic tumor vaccines have emerged as a compelling avenue for treating patients afflicted with advanced prostate cancer (PCa), particularly those experiencing biochemical relapse or ineligible for surgical intervention. This study serves to consolidate recent research findings on therapeutic vaccines targeting prostate tumors while delineating prevalent challenges within vaccine research and development. We searched electronic databases, including PubMed, Web of Science, Embase, and Scopus, up to August 31, 2024, using keywords such as 'vaccine', 'prostate cancer', 'immunotherapy', and others. We reviewed studies on various therapeutic vaccines, including dendritic cell-based, antigen, nucleic acid, and tumor cell vaccines. Studies consistently showed that therapeutic vaccines, notably DC vaccines, had favorable safety profiles with few adverse effects. These vaccines, with varied antigenic formulations, demonstrated strong clinical outcomes, as indicated by metrics such as PSA response rates (9.5%-58%), extended PSA doubling times (52.9%-89.7%), overall survival durations (17.7-33.8 months), two-year mortality rates (0%-12.5%), biochemical relapse rates (42%-73%), and antigen-specific immune responses (33.3%-71.4% in responsive groups). While clinical data for tumor vaccines have illuminated robust evidence of tumoricidal activity, the processes of their formulation and deployment are riddled with complexities. Combining vaccines with other therapies may enhance outcomes, and future research should focus on early interventions and deciphering the immune system's role in oncogenesis.

Pre-operative prediction of BCR-free survival with mRNA variables in prostate cancer.

Technological innovation yielded opportunities to obtain mRNA expression data for prostate cancer (PCa) patients even prior to biopsy, which can be used in a precision medicine approach to treatment decision-making. This can apply in particular to predict the risk of, and time to biochemical recurrence (BCR). Most mRNA-based models currently proposed to this end are designed for risk classification and post-operative prediction. Effective pre-operative prediction would facilitate early treatment decision-making, in particular by indicating more appropriate therapeutic pathways for patient profiles who would likely not benefit from a systematic prostatectomy regime. The aim of this study is to investigate the possibility to leverage mRNA information pre-operatively for BCR-free survival prediction. To do this, we considered time-to-event machine learning (ML) methodologies, rather than classification models at a specific survival horizon. We retrospectively analysed a cohort of 135 patients with clinical follow-up data and mRNA information comprising over 26,000 features (data accessible at NCBI GEO database, accession GSE21032). The performance of ML models including random survival forest, boosted and regularised Cox models were assessed, in terms of model discrimination, calibration, and predictive accuracy for overall, 3-year and 5-year survival, aligning with common clinical endpoints. Results showed that the inclusion of mRNA information could yield a gain in performance for pre-operative BCR prediction. ML-based time-to-event models significantly outperformed reference nomograms that used only routine clinical information with respect to all metrics considered. We believe this is the first study proposing pre-operative transcriptomics models for BCR prediction in PCa. External validation of these findings, including confirmation of the mRNA variables identified as potential key predictors in this study, could pave the way for pre-operative precision nomograms to facilitate timely personalised clinical decision-making.

Hypoxia-associated gene signatures are not prognostic in high-risk localised prostate cancers undergoing androgen deprivation therapy with radiotherapy

PurposeMen with high-risk prostate cancer (PCa) are treated with androgen deprivation therapy (ADT) and radiotherapy, but the disease reoccurs in 30% of patients. Biochemical recurrence of PCa after treatment is influenced by tumour hypoxia. Tumours with high levels of hypoxia are aggressive, resistant to treatment, and have increased metastatic capacity. Gene expression signatures derived from diagnostic biopsies can predict tumour hypoxia and radiosensitivity, but none are in routine clinical use, due to concerns about the applicability of these biomarkers to new patient cohorts. There has been no or limited testing in cohorts of high-risk PCa. Methods and materialsWe generated transcriptomic data for cohorts of high-risk PCa patients. Patients were treated with ADT followed by external beam radiotherapy with or without a brachytherapy boost. Biomarkers curated from the literature were calculated from pre-treatment biopsy gene expression data. The primary endpoint for survival analyses was biochemical recurrence-free survival (bRFS) and the secondary endpoints were distant metastasis-free survival (DMFS) and overall survival. ResultsThe performance of the selected biomarkers was poor, with none achieving prognostic significance for bRFS or DMFS in any cohort. The brachytherapy boost cohort received shorter durations of ADT than the conventionally fractionated or hypofractionated cohorts (Wilcoxon rank sum test, p=2.1 × 10-18 and 2.3 × 10-10 respectively) and had increased risk of distant metastasis (log-rank test, p=8 × 10-4). There were no consistent relationships between biomarker score and outcome for any of the endpoints. ConclusionsHypoxia and radiosensitivity biomarkers were not prognostic in high-risk PCa patients treated with ADT plus radiotherapy. We speculate that the lack of prognostic capability could be caused by the variable hypoxia-modifying effects of the ADT that these high-risk patients received before and during definitive treatment with radiotherapy. A deeper understanding of biomarker construction, performance and inter-cohort transferability in relation to patient characteristics, sample handling and treatment modalities is required before hypoxia biomarkers can be recommended for routine clinical use in the pre-treatment setting.

Prostate-Specific Membrane Antigen-Positron Emission Tomography-Guided Radiomics and Machine Learning in Prostate Carcinoma.

Positron emission tomography (PET) using radiolabeled prostate-specific membrane antigen targeting PET-imaging agents has been increasingly used over the past decade for imaging and directing prostate carcinoma treatment. Here, we summarize the available literature data on radiomics and machine learning using these imaging agents in prostate carcinoma. Gleason scores derived from biopsy and after resection are discordant in a large number of prostate carcinoma patients. Available studies suggest that radiomics and machine learning applied to PSMA-radioligand avid primary prostate carcinoma might be better performing than biopsy-based Gleason-scoring and could serve as an alternative for non-invasive GS characterization. Furthermore, it may allow for the prediction of biochemical recurrence with a net benefit for clinical utilization. Machine learning based on PET/CT radiomics features was also shown to be able to differentiate benign from malignant increased tracer uptake on PSMA-targeting radioligand PET/CT examinations, thus paving the way for a fully automated image reading in nuclear medicine. As for prediction to treatment outcome following 177Lu-PSMA therapy and overall survival, a limited number of studies have reported promising results on radiomics and machine learning applied to PSMA-targeting radioligand PET/CT images for this purpose. Its added value to clinical parameters warrants further exploration in larger datasets of patients.

Recurrence of mucinous prostate cancer in rectal wall due to needle-track seeding from previous transrectal prostate biopsy.

Needle-track seeding of prostate cancer into the rectal wall following transrectal prostate biopsy is exceedingly rare. We report a case of mucinous prostate cancer recurrence in the rectal wall due to biopsy needle seeding, discovered after robot-assisted radical prostatectomy. A 67-year-old man underwent robot-assisted radical prostatectomy for mucinous prostate cancer (clinical stage T2cN0M0, Gleason score of 4 + 4, and initial prostate-specific antigen level of 8.8 ng/mL). Five years postoperatively, endoscopy revealed a rectal tumor, which was diagnosed as needle-track seeding from the previous transrectal prostate biopsy. Following resection of this rectal tumor, the patient's prostate-specific antigen level fell to <0.008 ng/mL. No signs of recurrence or metastasis were observed 3 months postoperatively. While rare, transrectal prostate biopsies can pose a small risk of needle-track seeding into the rectal wall. Endorectal examination should be considered if biochemical recurrence of prostate cancer occurs following radical prostatectomy.

Testosterone Therapy in Men After Radical Prostatectomy for Organ-Confined, Low-Intermediate Prostate Cancer.

Testosterone therapy (TTh) in men with T deficiency who have undergone radical prostatectomy (RP) for prostate cancer remains controversial. We aimed to assess the impact of TTh on biochemical recurrence (BCR) rates after RP in men with low-intermediate organ-confined disease. This study included men who underwent an RP at our institution for organ-confined prostate cancer and had grade groups 1 to 3 on RP pathology. A Cox model was created for time to BCR with T use included as a time-dependent covariate, adjusted for age, preoperative PSA, grade group at RP, and the presence of comorbidities. A landmark analysis was used: Patients were included in the analysis if their last PSA in the 18 weeks postoperatively was undetectable and they had not had BCR or been lost to follow-up by that point, and follow-up for BCR began at 18 weeks. BCR was defined as a PSA ≥ 0.1 ng/mL after RP with a second confirmatory rise ≥ 0.1 ng/mL. The study population included 5199 men after RP, with 198 patients receiving T at any point after RP and 5001 not receiving T. The median age was 59 (IQR, 55-65) and 61 (IQR, 56-66) years, respectively. Men in the T group tended to present with more vascular comorbidities. For those receiving T, clomiphene citrate was prescribed in 49% of men, 32% received transdermal T, and 19% intramuscular T. We found a nonsignificantly decreased risk of BCR associated with the use of T after RP (HR, 0.84; 95% CI, 0.48-1.46; P = .5), and overall rates of BCR were low, with probability of BCR at 5 years less than 2% in both groups. TTh can be given to select men after RP. We found no evidence that administration of TTh after RP causes BCR.