Docetaxel Versus Surveillance After Radical Prostatectomy for High-risk Prostate Cancer: Results from the Prospective Randomised, Open-label Phase 3 Scandinavian Prostate Cancer Group 12 Trial.

BACKGROUND: Adjuvant chemotherapy is standard treatment for other solid tumours, but to date has not proven effective in prostate cancer. OBJECTIVE: o evaluate whether six cycles of docetaxel alone improve biochemical disease-free survival after radical prostatectomy for high-risk prostate cancer. DESIGN, SETTING, AND PARTICIPANTS: Open-label, randomised multinational phase 3 trial. Enrolment of 459 patients after prostatectomy. INCLUSION CRITERIA: high-risk pT2 margin positive or pT3a Gleason score ≥4+3, pT3b, or lymph node positive disease Gleason score ≥3+4. Patients assigned (1:1) to either six cycles of adjuvant docetaxel 75mg/m2 every 3 wk without daily prednisone (Arm A) or surveillance (Arm B) until endpoint was reached. Primary endpoint was prostate-specific antigen progression ≥0.5 ng/ml. INTERVENTION: Docetaxel treatment after prostatectomy. RESULTS AND LIMITATIONS: Median time to progression, death, or last follow-up was 56.8 mo. Primary endpoint was reached in 190/459 patients-the risk of progression at 5 yr being 41% (45% in Arm A and 38% in Arm B). There was evidence of nonproportional hazards in Kaplan-Meier analysis, so we used the difference in restricted mean survival time as the primary estimate of effect. Restricted mean survival time to endpoint was 43 mo in Arm A versus 46 mo in Arm B (p=0.06), a nonsignificant difference of 3.2 mo (95% confidence interval: 6.7 to -1.5 mo). A total of 116 serious adverse events were recorded in Arm A and 41 in Arm B with no treatment-related deaths. Not all patients received docetaxel by protocol. The endpoint is biochemical progression and some patients received radiation treatment before the endpoint. CONCLUSIONS: Docetaxel without hormonal therapy did not significantly improve biochemical disease-free survival after radical prostatectomy. PATIENT SUMMARY: In this randomised trial, we tested whether chemotherapy after surgery for high-risk prostate cancer decreases the risk of a rising prostate-specific antigen. We found no benefit from docetaxel given after radical prostatectomy.

18F-Fluciclovine PET/MRI for preoperative lymph node staging in high-risk prostate cancer patients.

OBJECTIVE: To investigate the diagnostic potential of simultaneous 18F-fluciclovine PET/MRI for pelvic lymph node (LN) staging in patients with high-risk prostate cancer. METHODS: High-risk prostate cancer patients (n=28) underwent simultaneous 18F-fluciclovine PET/MRI prior to surgery. LNs were removed according to a predefined template of eight regions. PET and MR images were evaluated for presence of LN metastases according to these regions. Sensitivity/specificity for detection of LN metastases were calculated on patient and region basis. Sizes of LN metastases in regions with positive and negative imaging findings were compared with linear mixed models. Clinical parameters of PET-positive and -negative stage N1 patients were compared with the Mann-Whitney U test. RESULTS: Patient- and region-based sensitivity/specificity for detection of pelvic LN metastases was 40 %/87.5 % and 35 %/95.7 %, respectively, for MRI and 40 %/100 % and 30 %/100 %, respectively, for PET. LN metastases in true-positive regions were significantly larger than metastases in false-negative regions. PET-positive stage N1 patients had higher metastatic burden than PET-negative N1 patients. CONCLUSION: Simultaneous 18F-fluciclovine PET/MRI provides high specificity but low sensitivity for detection of LN metastases in high-risk prostate cancer patients. 18F-Fluciclovine PET/MRI scan positive for LN metastases indicates higher metastatic burden than negative scan. KEY POINTS: • 18F-Fluciclovine PET/MRI has high specificity for detection of lymph node metastasis. • 18F-Fluciclovine PET/MRI lacks sensitivity to replace ePLND. • 18F-Fluciclovine PET/MRI may be used to aid surgery and select adjuvant therapy. • 18F-Fluciclovine PET-positive patients have more extensive disease than PET-negative patients. • Size of metastatic lymph nodes is an important factor for detection.

Tissue Microstructure Is Linked to MRI Parameters and Metabolite Levels in Prostate Cancer.

INTRODUCTION: Magnetic resonance imaging (MRI) can portray spatial variations in tumor heterogeneity, architecture, and its microenvironment in a non-destructive way. The objective of this study was to assess the relationship between MRI parameters measured on patients in vivo, individual metabolites measured in prostatectomy tissue ex vivo, and quantitative histopathology. MATERIALS AND METHODS: Fresh frozen tissue samples (n = 53 from 15 patients) were extracted from transversal prostate slices and linked to in vivo MR images, allowing spatially matching of ex vivo measured metabolites with in vivo MR parameters. Color-based segmentation of cryosections of each tissue sample was used to identify luminal space, stroma, and nuclei. RESULTS: Cancer samples have significantly lower area percentage of lumen and higher area percentage of nuclei than non-cancer samples (p ≤ 0.001). Apparent diffusion coefficient is significantly correlated with percentage area of lumen (ρ = 0.6, p < 0.001) and percentage area of nuclei (ρ = -0.35, p = 0.01). There is a positive correlation (ρ = 0.31, p = 0.053) between citrate and percentage area of lumen. Choline is negatively correlated with lumen (ρ = -0.38, p = 0.02) and positively correlated with percentage area of nuclei (ρ = 0.38, p = 0.02). CONCLUSION: Microstructures that are observed by histopathology are linked to MR characteristics and metabolite levels observed in prostate cancer.

Presence of TMPRSS2-ERG is associated with alterations of the metabolic profile in human prostate cancer.

TMPRSS2-ERG has been proposed to be a prognostic marker for prostate cancer. The aim of this study was to identify changes in metabolism, genes and biochemical recurrence related to TMPRSS2-ERG by using an integrated approach, combining metabolomics, transcriptomics, histopathology and clinical data in a cohort of 129 human prostate samples (41 patients). Metabolic analyses revealed lower concentrations of citrate and spermine comparing ERGhigh to ERGlow samples, suggesting an increased cancer aggressiveness of ERGhigh compared to ERGlow. These results could be validated in a separate cohort, consisting of 40 samples (40 patients), and magnetic resonance spectroscopy imaging (MRSI) indicated an in vivo translational potential. Alterations of gene expression levels associated with key enzymes in the metabolism of citrate and polyamines were in consistence with the metabolic results. Furthermore, the metabolic alterations between ERGhigh and ERGlow were more pronounced in low Gleason samples than in high Gleason samples, suggesting it as a potential tool for risk stratification. However, no significant difference in biochemical recurrence was detected, although a trend towards significance was detected for low Gleason samples. Using an integrated approach, this study suggests TMPRSS2-ERG as a potential risk stratification tool for inclusion of active surveillance patients.

A Balanced Tissue Composition Reveals New Metabolic and Gene Expression Markers in Prostate Cancer.

Molecular analysis of patient tissue samples is essential to characterize the in vivo variability in human cancers which are not accessible in cell-lines or animal models. This applies particularly to studies of tumor metabolism. The challenge is, however, the complex mixture of various tissue types within each sample, such as benign epithelium, stroma and cancer tissue, which can introduce systematic biases when cancers are compared to normal samples. In this study we apply a simple strategy to remove such biases using sample selections where the average content of stroma tissue is balanced between the sample groups. The strategy is applied to a prostate cancer patient cohort where data from MR spectroscopy and gene expression have been collected from and integrated on the exact same tissue samples. We reveal in vivo changes in cancer-relevant metabolic pathways which are otherwise hidden in the data due to tissue confounding. In particular, lowered levels of putrescine are connected to increased expression of SRM, reduced levels of citrate are attributed to upregulation of genes promoting fatty acid synthesis, and increased succinate levels coincide with reduced expression of SUCLA2 and SDHD. In addition, the strategy also highlights important metabolic differences between the stroma, epithelium and prostate cancer. These results show that important in vivo metabolic features of cancer can be revealed from patient data only if the heterogeneous tissue composition is properly accounted for in the analysis.

Ten- and 15-yr Prostate Cancer-specific Mortality in Patients with Nonmetastatic Locally Advanced or Aggressive Intermediate Prostate Cancer, Randomized to Lifelong Endocrine Treatment Alone or Combined with Radiotherapy: Final Results of The Scandinavian Prostate Cancer Group-7.

BACKGROUND: In high-risk prostate cancer (PCa), no study with observation times beyond 10 yr has demonstrated survival improvement after addition of prostatic radiotherapy (RAD) to endocrine treatment (ET) alone. OBJECTIVE: To compare mortality rates in patients receiving ET alone versus ET + RAD. DESIGN, SETTINGS, AND PARTICIPANTS: From 1996 to 2002, 875 Scandinavian patients with high-risk (90%) or intermediate PCa were randomized to ET or ET + RAD (The Scandinavian Prostate Cancer Group-7). After 3 mo with total androgen blockade in all patients, all individuals continued lifelong antiandrogen monotherapy. Those randomized to ET + RAD started prostate radiotherapy (70Gy) at 3 mo. OUTCOME, MEASUREMENTS AND STATISTICAL ANALYSIS: PCa-specific 15-yr mortality represented the primary endpoint. Assessment of the combination treatment effect and prognostic factors was performed in competing risk analyses and Cox proportional-hazard models. INTERVENTION: RAD added to ET. RESULTS AND LIMITATIONS: With a median observation time of 12 yr, the 15-yr PCa-specific mortality rates were 34% (95% confidence interval, 29-39%) and 17% (95% confidence interval, 13-22%) in the ET and ET + RAD arms respectively (p<0.001). Compared with the ET arm, the median overall survival in the ET + RAD arm was prolonged by 2.4 yr. Treatment with ET alone, age ≥65 yr and increasing histology grade independently increased the risk of PCa-specific and overall mortality. Limitations include nonformal evaluation of comorbidity, the inability to calculate progression-free survival, and lack of information about salvage therapy and toxicity. CONCLUSIONS: In patients with nonmetastatic locally advanced or aggressive PCa, ET + RAD reduces the absolute risk of PCa-specific death by 17% at 15 yr compared with ET alone; the comparable 15-yr PCa-specific mortality rates being 17% and 34%. The results warrant a phase 3 study comparing ET + RAD with radical prostatectomy in high-risk PCa. PATIENT SUMMARY: Adding prostatic therapy to lifelong antiandrogen therapy halves the absolute risk of death from prostate cancer from 34% to 17% 15 yr after diagnosis.

Metabolic markers in blood can separate prostate cancer from benign prostatic hyperplasia.

BACKGROUND: An individualised risk-stratified screening for prostate cancer (PCa) would select the patients who will benefit from further investigations as well as therapy. Current detection methods suffer from low sensitivity and specificity, especially for separating PCa from benign prostatic conditions. We have investigated the use of metabolomics analyses of blood samples for separating PCa patients and controls with benign prostatic hyperplasia (BPH). METHODS: Blood plasma and serum samples from 29 PCa patient and 21 controls with BPH were analysed by metabolomics analysis using magnetic resonance spectroscopy, mass spectrometry and gas chromatography. Differences in blood metabolic patterns were examined by multivariate and univariate statistics. RESULTS: By combining results from different methodological platforms, PCa patients and controls were separated with a sensitivity and specificity of 81.5% and 75.2%, respectively. CONCLUSIONS: The combined analysis of serum and plasma samples by different metabolomics measurement techniques gave successful discrimination of PCa and controls, and provided metabolic markers and insight into the processes characteristic of PCa. Our results suggest changes in fatty acid (acylcarnitines), choline (glycerophospholipids) and amino acid metabolism (arginine) as markers for PCa compared with BPH.

Survival benefit of early androgen receptor inhibitor therapy in locally advanced prostate cancer: long-term follow-up of the SPCG-6 study.

BACKGROUND: The optimal timing of endocrine therapy in non-metastatic prostate cancer (PCa) is still an issue of debate. METHODS: A randomised, double-blind, parallel-group trial comparing bicalutamide 150mg once daily with placebo in addition to standard care in patients with hormone-naïve, non-metastatic PCa. Kaplan-Meier analysis was used to estimate overall survival (OS) and multivariate Cox proportional hazard model was performed to analyse time-to-event (death). FINDINGS: A total of 1218 patients were included into the Scandinavian Prostate Cancer Group (SPCG)-6 study of which 607 were randomised to receive bicalutamide in addition to their standard care and 611 to receive placebo. Median follow-up was 14.6years. Overall, 866 (71.1%) patients died, 428 (70.5%) in the bicalutamide arm and 438 (71.7%) in the placebo arm, p=0.87. Bicalutamide significantly improved OS in patient with locally advanced disease (hazard ratios (HR)=0.77 (95% confidence interval (CI): 0.63-0.94, p=0.01), regardless of baseline prostate-specific antigen (PSA), with a survival benefit which was apparent throughout the study period. In contrast, survival favoured randomisation to the placebo arm in patients with localised disease (HR=1.19 (95% CI: 1.00-1.43), p=0.056). However, a survival gain from bicalutamide therapy was present in patients with localised disease and a baseline PSA greater than 28ng/mL at randomisation. In multivariate Cox proportional hazard model, only including patients managed on watchful waiting as their standard of care (n=991) OS depended on age, World Health Organisation (WHO) grade, baseline PSA, clinical stage and randomised treatment. INTERPRETATION: Throughout the 14.6year follow-up period the addition of early bicalutamide to standard of care resulted in a significant OS benefit in patients with locally advanced PCa. In contrast, patients with localised PCa and low PSA derived no survival benefit from early bicalutamide. The optimal timing for initiating bicalutamide in non-metastatic PCa patients is dependent on disease stage and baseline PSA.

Bilateral testicular germ cell tumors in patients treated for clinical stage I non-seminoma within two risk-adapted SWENOTECA protocols.

BACKGROUND: A contralateral tumor occurs in 3.5-5% of men diagnosed with testicular germ cell cancer (TGCC). Biopsy of the contralateral testis may detect intratubular germ cell neoplasia ITGCNU, a precursor of TGCC. Biopsy of the contralateral testis to detect ITGCNU is controversial. If adjuvant chemotherapy (ACT) protects against bilateral cancer is debated. MATERIAL AND METHODS: A total of 1003 patients with clinical stage I (CS I) non-seminomatous testicular germ cell cancer (NSGCT) were included in two prospective, population-based protocols. Fifteen patients were excluded. Treatment was either adjuvant chemotherapy (n = 494), or surveillance (n = 494). Contralateral testicular biopsy was recommended for all patients, but was performed only in 282 patients. In case of ITGCNU radiotherapy (RT) to 16 Gy was recommended. RESULTS: During a follow-up of 8.3 years, 31 (3.6%) patients developed contralateral TGCC. ITGCNU was detected in 3.2% (9/282) of biopsied patients. The incidence of bilateral TGCC was similar following ACT, 2.5% (11/494), and surveillance, 3.4% (13/494), p = 0.41. Young age was a risk factor for metachronous TGCC (HR 0.93; 95% CI 0.88-0.99, p = 0.02). In total 2.2% (6/273) of patients without ITGCNU in the biopsy developed contralateral TGCC. One irradiated patient developed contralateral cancer, and one developed contralateral tumor before RT was given. CONCLUSION: ACT did not reduce the incidence of contralateral TGCC. Young patients had the highest risk of developing contralateral TGCC. The proportion of false negatives biopsies was higher than reported in earlier trials, but this may in part be related to patient selection, single biopsies and lack of mandatory immunohistochemistry.

Identification of metabolites from 2D (1)H-(13)C HSQC NMR using peak correlation plots.

BACKGROUND: Identification of individual components in complex mixtures is an important and sometimes daunting task in several research areas like metabolomics and natural product studies. NMR spectroscopy is an excellent technique for analysis of mixtures of organic compounds and gives a detailed chemical fingerprint of most individual components above the detection limit. For the identification of individual metabolites in metabolomics, correlation or covariance between peaks in (1)H NMR spectra has previously been successfully employed. Similar correlation of 2D (1)H-(13)C Heteronuclear Single Quantum Correlation spectra was recently applied to investigate the structure of heparine. In this paper, we demonstrate how a similar approach can be used to identify metabolites in human biofluids (post-prostatic palpation urine). RESULTS: From 50 (1)H-(13)C Heteronuclear Single Quantum Correlation spectra, 23 correlation plots resembling pure metabolites were constructed. The identities of these metabolites were confirmed by comparing the correlation plots with reported NMR data, mostly from the Human Metabolome Database. CONCLUSIONS: Correlation plots prepared by statistically correlating (1)H-(13)C Heteronuclear Single Quantum Correlation spectra from human biofluids provide unambiguous identification of metabolites. The correlation plots highlight cross-peaks belonging to each individual compound, not limited by long-range magnetization transfer as conventional NMR experiments.

Gene signatures ESC, MYC and ERG-fusion are early markers of a potentially dangerous subtype of prostate cancer.

BACKGROUND: Good prognostic tools for predicting disease progression in early stage prostate cancer (PCa) are still missing. Detection of molecular subtypes, for instance by using microarray gene technology, can give new prognostic information which can assist personalized treatment planning. The detection of new subtypes with validation across additional and larger patient cohorts is important for bringing a potential prognostic tool into the clinic. METHODS: We used fresh frozen prostatectomy tissue of high molecular quality to further explore four molecular subtype signatures of PCa based on Gene Set Enrichment Analysis (GSEA) of 15 selected gene sets published in a previous study. For this analysis we used a statistical test of dependent correlations to compare reference signatures to signatures in new normal and PCa samples, and also explore signatures within and between sample subgroups in the new samples. RESULTS: An important finding was the consistent signatures observed for samples from the same patient independent of Gleason score. This proves that the signatures are robust and can surpass a normally high tumor heterogeneity within each patient. Our data did not distinguish between four different subtypes of PCa as previously published, but rather highlighted two groups of samples which could be related to good and poor prognosis based on survival data from the previous study.The poor prognosis group highlighted a set of samples characterized by enrichment of ESC, ERG-fusion and MYC + rich signatures in patients diagnosed with low Gleason score,. The other group consisted of PCa samples showing good prognosis as well as normal samples. Accounting for sample composition (the amount of benign structures such as stroma and epithelial cells in addition to the cancer component) was important to improve subtype assignments and should also be considered in future studies. CONCLUSION: Our study validates a previous molecular subtyping of PCa in a new patient cohort, and identifies a subgroup of PCa samples highly interesting for detecting high risk PCa at an early stage. The importance of taking sample tissue composition into account when assigning subtype is emphasized.

Disease-specific outcomes of radical prostatectomies in Northern Norway; a case for the impact of perineural infiltration and postoperative PSA-doubling time.

BACKGROUND: Prostate cancer is the most common male malignancy and a mayor cause of mortality in the western world. The impact of clinicopathological variables on disease related outcomes have mainly been reported from a few large US series, most of them not reporting on perineural infiltration. We therefore wanted to investigate relevant cancer outcomes in patients undergoing radical prostatectomy in two Norwegian health regions with an emphasis on the impact of perineural infiltration (PNI) and prostate specific antigen- doubling time (PSA-DT). METHODS: We conducted a retrospective analysis of 535 prostatectomy patients at three hospitals between 1995 and 2005 estimating biochemical failure- (BFFS), clinical failure- (CFFS) and prostate cancer death-free survival (PCDFS) with the Kaplan-Meier method. We investigated clinicopathological factors influencing risk of events using cox proportional hazard regression. RESULTS: After a median follow-up of 89 months, 170 patients (32%) experienced biochemical failure (BF), 36 (7%) experienced clinical failure and 15 (3%) had died of prostate cancer. pT-Stage (p = 0.001), preoperative PSA (p = 0.047), Gleason Score (p = 0.032), non-apical positive surgical margins (PSM) (p = 0.003) and apical PSM (p = 0.031) were all independently associated to BFFS. Gleason score (p = 0.019), PNI (p = 0.012) and non-apical PSM (p = 0.002) were all independently associated to CFFS while only PNI (P = 0.047) and subgroups of Gleason score were independently associated to PCDFS. After BF, patients with a shorter PSA-DT had independent and significant worse event-free survivals than patients with PSA-DT > 15 months (PSA-DT = 3-9 months, CFFS HR = 6.44, p < 0.001, PCDFS HR = 13.7, p = 0.020; PSA-DT < 3 months, CFFS HR = 11.2, p < 0.001, PCDFS HR = 27.5, p = 0.006). CONCLUSIONS: After prostatectomy, CFFS and PCDFS are variable, but both are strongly associated to Gleason score and PNI. In patients with BF, PSA-DT was most strongly associated to CF and PCD. Our study adds weight to the importance of PSA-DT and re-launches PNI as a strong prognosticator for clinically relevant endpoints.

Ultrasound-enhanced drug delivery in prostate cancer xenografts by nanoparticles stabilizing microbubbles.

The delivery of nanoparticles to solid tumors is often ineffective due to the lack of specificity towards tumor tissue, limited transportation of the nanoparticles across the vascular wall and poor penetration through the extracellular matrix of the tumor. Ultrasound is a promising tool that can potentially improve several of the transportation steps, and the interaction between sound waves and microbubbles generates biological effects that can be beneficial for the successful delivery of nanocarriers and their contents. In this study, a novel platform consisting of nanoparticle-stabilized microbubbles has been investigated for its potential for ultrasound-enhanced delivery to tumor xenografts. Confocal laser scanning microscopy was used to study the supply of nanoparticles from the vasculature and to evaluate the effect of different ultrasound parameters at a microscopic level. The results demonstrated that although the delivery is heterogeneous within tumors, there is a significant improvement in the delivery and the microscopic distribution of both nanoparticles and a released model drug when the nanoparticles are combined with microbubbles and ultrasound. The mechanisms that underlie the improved delivery are discussed.

Spermine and citrate as metabolic biomarkers for assessing prostate cancer aggressiveness.

Separating indolent from aggressive prostate cancer is an important clinical challenge for identifying patients eligible for active surveillance, thereby reducing the risk of overtreatment. The purpose of this study was to assess prostate cancer aggressiveness by metabolic profiling of prostatectomy tissue and to identify specific metabolites as biomarkers for aggressiveness. Prostate tissue samples (n = 158, 48 patients) with a high cancer content (mean: 61.8%) were obtained using a new harvesting method, and metabolic profiles of samples representing different Gleason scores (GS) were acquired by high resolution magic angle spinning magnetic resonance spectroscopy (HR-MAS). Multivariate analysis (PLS, PLS-DA) and absolute quantification (LCModel) were used to examine the ability to predict cancer aggressiveness by comparing low grade (GS = 6, n = 30) and high grade (GS≥7, n = 81) cancer with normal adjacent tissue (n = 47). High grade cancer tissue was distinguished from low grade cancer tissue by decreased concentrations of spermine (p = 0.0044) and citrate (p = 7.73·10(-4)), and an increase in the clinically applied (total choline+creatine+polyamines)/citrate (CCP/C) ratio (p = 2.17·10(-4)). The metabolic profiles were significantly correlated to the GS obtained from each tissue sample (r = 0.71), and cancer tissue could be distinguished from normal tissue with sensitivity 86.9% and specificity 85.2%. Overall, our findings show that metabolic profiling can separate aggressive from indolent prostate cancer. This holds promise for the benefit of applying in vivo magnetic resonance spectroscopy (MRS) within clinical MR imaging investigations, and HR-MAS analysis of transrectal ultrasound-guided biopsies has a potential as an additional diagnostic tool.

Spatially matched in vivo and ex vivo MR metabolic profiles of prostate cancer -- investigation of a correlation with Gleason score.

MR metabolic profiling of the prostate is promising as an additional diagnostic approach to separate indolent from aggressive prostate cancer. The objective of this study was to assess the relationship between the Gleason score and the metabolic biomarker (choline + creatine + spermine)/citrate (CCS/C) measured by ex vivo high-resolution magic angle spinning MRS (HR-MAS MRS) and in vivo MRSI, and to evaluate the correlation between in vivo- and ex vivo-measured metabolite ratios from spatially matched prostate regions. Patients (n = 13) underwent in vivo MRSI prior to radical prostatectomy. A prostate tissue slice was snap-frozen shortly after surgery and the locations of tissue samples (n = 40) collected for ex vivo HR-MAS were matched to in vivo MRSI voxels (n = 40). In vivo MRSI was performed on a 3T clinical MR system and ex vivo HR-MAS on a 14.1T magnet. Relative metabolite concentrations were calculated by LCModel fitting of in vivo spectra and by peak integration of ex vivo spectra. Spearman's rank correlations (ρ) between CCS/C from in vivo and ex vivo MR spectra, and with their corresponding Gleason score, were calculated. There was a strong positive correlation between the Gleason score and CCS/C measured both in vivo and ex vivo (ρ = 0.77 and ρ = 0.69, respectively; p < 0.001), and between in vivo and ex vivo metabolite ratios from spatially matched regions (ρ = 0.67, p < 0.001). Our data indicate that MR metabolic profiling is a potentially useful tool for the assessment of cancer aggressiveness. Moreover, the good correlation between in vivo- and ex vivo-measured CCS/C demonstrates that our method is able to bridge MRSI and HR-MAS molecular analysis.

Does a surgeon's annual radical prostatectomy volume predict the risk of positive surgical margins and urinary incontinence at one-year follow-up? Findings from a prospective national study.

OBJECTIVE: This study aimed to assess the prevalence of positive surgical margins (PSM) and urinary incontinence (UI) in relation to surgeons' annual radical prostatectomy (RP) volume. MATERIAL AND METHODS: This national study prospectively assessed 521 preoperatively continent patients with prostate cancer (PCa), scheduled for RP by surgeons with high (>50), medium (20-50) or low annual volume (<20) at 14 urological departments in Norway. Patients responded to UI questions from the Expanded Composite prostate cancer index (EPIC-50) before and 1 year after RP. UI was defined as "use of pad(s)" and/or "a moderate or severe urinary leakage problem (ULP)". Preoperative prediction of PSMs and UI was explored in multivariate regression analyses with the following independent variables: surgeons' annual RP volume, type of hospital (university versus community), patient's health, sociodemographic features and PCa characteristics. RESULTS: Based on histopathological reports, the overall PSM rate was 26%, with differences between the high- (18%), medium- (28%) and low-volume (44%) groups. Increasing PSM rates were predicted by surgeons belonging to the low- and medium-volume categories, prostate-specific antigen> 10 µg/l, Gleason score >7, patient age >65 years and <12 years of education. At 1-year follow-up 40% reported UI, without significant differences between the volume groups. Only 46% of those who used pad(s) experienced ULP. UI was predicted by clinical category ≥T2 and community type of hospital, but not by surgeons' annual RP volume. CONCLUSIONS. Preoperative counselling should take into account the relationship between surgeon's annual RP volume and PSM rate and the current knowledge about UI and ULP.

Peripheral zone prostate cancer localization by multiparametric magnetic resonance at 3 T: unbiased cancer identification by matching to histopathology.

OBJECTIVES: The aim of this study was to assess the diagnostic accuracy of peripheral zone prostate cancer localization by multiparametric magnetic resonance (MR) at 3 T using segmental matching of histopathology and MR images to avoid bias by image features in selection of cancer and noncancer regions. MATERIALS AND METHODS: Forty-eight patients underwent multiparametric MR imaging (MRI) on a 3 T system using a phased array body coil and spine coil elements for signal detection before prostatectomy. The examination included T2-weighted imaging (T2WI), diffusion-weighted imaging (DWI), dynamic contrast-enhanced imaging (DCE-MRI), and MR spectroscopic imaging (MRSI). Histopathology slides were correlated to T2W images and a stringent matching procedure was performed to define cancer and noncancer areas of the peripheral zone without influence of the MR image appearance. Mean T2W signal intensity, apparent diffusion coefficient, area under the enhancement curve, and choline + creatine-to-citrate signal ratio were calculated for cancer and noncancer areas. Receiver operating characteristic (ROC) analysis was performed on MR-derived parameters from the selected areas. Logistic regression was used to create models based on best combination of parameters. A simplified approach assigning a parametric score to each segment based on cutoff values from ROC analysis was also explored. RESULTS: By using the stringent matching procedure, 138 noncancer and 41 cancer segments were selected in the T2W images and transferred to the images of the other MR methods. A significant difference between mean values in cancer and noncancer segments was observed for all MR parameters analyzed (P < 0.001). Apparent diffusion coefficient was the best performing single parameter, with an area under the ROC curve Az,DWI of 0.90 for prostate cancer detection. Any combination of T2WI, DWI, and DCE-MRI was significantly better than T2WI alone in separating cancer from noncancer segments (Az,T2WI + DWI + DCE-MRI = 0.94, Az,T2WI + DWI = 0.92, Az,T2WI + DCE-MRI = 0.91, Az,T2WI = 0.85). The combination of T2WI and MRSI was also better than T2WI alone (Az, T2WI + MRSI = 0.90); however, the logistic regression models including MRSI did not have significant parameters. The simplified approach combining all parameters gave similar results to logistic regression combining all parameters (Az = 0.95 and 0.97, respectively). CONCLUSION: By selecting histopathology defined cancer and noncancer areas without influence of image contrast, this study objectively reveals that all investigated MR parameters have the ability to separate cancer from noncancer areas in the peripheral zone individually and that any combination is better than T2WI alone.

Does physiotherapist-guided pelvic floor muscle training increase the quality of life in patients after radical prostatectomy? A randomized clinical study.

OBJECTIVE: The aim of this study was to study the effect of postoperative physiotherapist-guided pelvic floor muscle training (PFMT) on health-related quality of life (HRQoL) parameters in patients treated with radical prostatectomy (RP). MATERIAL AND METHODS: A prospective randomized controlled trial was conducted at St. Olavs Hospital, Trondheim University Hospital, Norway. Eighty-five men were randomized into two intervention groups (A and B). patients in group A (n = 42) were offered physiotherapist-guided PFMT (in groups or by DVD) once weekly throughout the first 12 months after RP, while those in group B (n = 43) trained on their own. HRQoL data were assessed using the University of California, Los Angeles Prostate Cancer Index (UCLA-PCI) and the Short Form-12 (SF-12) health survey. The physical component summary (PCS) and mental component summary (MCS) scores of the SF-12 plus the urinary, sexual and bowel function and bother of the UCLA-PCI make up the eight quality of life outcomes used in this study. Data were obtained preoperatively (baseline), 6 weeks, and 3, 6 and 12 months postoperatively. RESULTS: Eighty patients completed at least one follow-up assessment, 38 in group A and 42 in group B, giving a dropout rate of 5.9%. The overall response rates were 96% at baseline, 83% at 6 weeks, 90% at 3 months, 88% at 6 months and 68% at 12 months. No statistically significant difference in HRQoL was found between groups A and B. CONCLUSIONS: Even though physiotherapist-guided training of the pelvic floor muscles after RP improved postoperative urinary incontinence significantly compared to those patients receiving standard care/training, this was not reflected in better outcome in HRQoL parameters.