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A novel DNA methylation score accurately predicts death from prostate cancer in men with low to intermediate clinical risk factors.

ABSTRACT: Clinically aggressive disease behavior is difficult to predict in men with low to intermediate clinical risk prostate cancer and methylation biomarkers may be a valuable adjunct for assessing the management of these patients. We set to evaluate the utility of DNA methylation to identify high risk disease in men currently considered as low or intermediate risk. DNA was extracted from formalin-fixed paraffin-embedded transurethral prostate resection tissues collected during the years 1990-96 in a watchful-waiting cohort of men in the UK. The primary end point was death of prostate cancer, assessed by reviewing cancer registry records from 2009. Methylation was quantified by pyrosequencing assays for six genes (HSPB1, CCND2, TIG1, DPYS, PITX2, and MAL) with established biomarker value in prostate cancer. A novel prognostic methylation score was developed by multivariate Cox modelling using the six methylation biomarkers in 385 men with low-and-intermediate clinical risk variables and its prognostic value compared to two previously defined clinically-derived risk scores. Methylation score was the most significant variable in univariate and bivariate analysis in men with low-to-intermediate CAPRA risk score. When combined with CAPRA score the hazard ratio was 2.02; 95% confidence interval, 1.40-2.92. For a methylation score sensitivity of 83% the specificity was 44%, while the maximum achieved sensitivity by CAPRA was 68% at a specificity of 44%. The derived methylation score is a strong predictor of aggressive prostate cancer that could have an important role in directing the management of patients with low-to-intermediate risk disease. The estimated areas under the curve (AUC) at 10 years of follow-up were 0.62 (95% CI: 0.51, 0.70) and 0.74 (95% CI: 0.65, 0.82) for CAPRA, and combined (CAPRA + methylation) risk score (CRS) respectively.

SUBMITTER: Ahmad AS

PROVIDER: S-EPMC5342126 | biostudies-literature | 2016 Nov

REPOSITORIES: biostudies-literature

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A novel DNA methylation score accurately predicts death from prostate cancer in men with low to intermediate clinical risk factors.

Ahmad Amar S AS Vasiljević Nataša N Carter Paul P Berney Daniel M DM Møller Henrik H Foster Christopher S CS Cuzick Jack J Lorincz Attila T AT

Oncotarget 20161101 44

Clinically aggressive disease behavior is difficult to predict in men with low to intermediate clinical risk prostate cancer and methylation biomarkers may be a valuable adjunct for assessing the management of these patients. We set to evaluate the utility of DNA methylation to identify high risk disease in men currently considered as low or intermediate risk. DNA was extracted from formalin-fixed paraffin-embedded transurethral prostate resection tissues collected during the years 1990-96 in a ...[more]

PMID: 27708246

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Project description:PurposeProstate specific antigen velocity is an unreliable predictor of adverse pathology findings in patients on active surveillance for low risk prostate cancer. However, to our knowledge a new concept called prostate specific antigen velocity risk count, recently validated in a screening cohort, has not been investigated in an active surveillance cohort.Materials and methodsWe evaluated a cohort of men from 1995 to 2012 with prostate cancer on active surveillance. They had stage T1c disease, prostate specific antigen density less than 0.15 ng/ml, Gleason score 6 or less, 2 or fewer biopsy cores and 50% or less involvement of any core with cancer. The men were observed by semiannual prostate specific antigen measurements, digital rectal examinations and an annual surveillance biopsy. Treatment was recommended for biopsy reclassification. Patients with 30 months or greater of followup and 3 serial prostate specific antigen velocity measurements were used in primary analysis by logistic regression, Cox proportional hazards, Kaplan-Meier analysis and performance parameters, including the AUC of the ROC curve.ResultsPrimary analysis included 275 of 668 men who met very low risk inclusion criteria, of whom 83 (30.2%) were reclassified at a median of 57.1 months. Reclassification risk increased with risk count, that is a risk count of 3 (HR 4.63, 95% CI 1.54-13.87) and 2 (HR 3.73, 95% CI 1.75-7.97) compared to zero. Results were similar for Gleason score reclassification (HR 7.45, 95% CI 1.60-34.71 and 3.96, 95% CI 1.35-11.62, respectively). On secondary analysis the negative predictive value (risk count 1 or less) was 91.5% for reclassification in the next year. Adding the prostate specific antigen velocity risk count improved the AUC in a model including baseline prostate specific antigen density (0.7423 vs 0.6818, p = 0.025) and it outperformed the addition of overall prostate specific antigen velocity (0.7423 vs 0.6960, p = 0.037).ConclusionsProstate specific antigen velocity risk count may be useful for monitoring patients on active surveillance and decreasing the frequency of biopsies needed in the long term.

Project description:BackgroundProstate tumor volume predicts biochemical recurrence, metastases, and tumor proliferation. A recent study showed that prostate tumor eccentricity (elongation or roundness) correlated with Gleason score. No studies examined the relationship among the prostate tumor's shape, volume, and potential aggressiveness.MethodsOf the 26 patients that were analyzed, 18 had volumes >1 cc for the histology-based study, and 25 took up contrast material for the MRI portion of this study. This retrospective study quantitatively compared tumor eccentricity and volume measurements from pathology assessment sectioned wholemount prostates and multi-parametric MRI to Gleason scores. Multi-parametric MRI (T1, T2, diffusion, dynamic contrast-enhanced images) were resized, translated, and stitched to form spatially registered multi-parametric cubes. Multi-parametric signatures that characterize prostate tumors were inserted into a target detection algorithm (Adaptive Cosine Estimator, ACE). Various detection thresholds were applied to discriminate tumor from normal tissue. Pixel-based blobbing, and labeling were applied to digitized pathology slides and threshold ACE images. Tumor volumes were measured by counting voxels within the blob. Eccentricity calculation used moments of inertia from the blobs.ResultsFrom wholemount prostatectomy slides, fitting two sets of independent variables, prostate tumor eccentricity (largest blob eccentricity, weighted eccentricity, filtered weighted eccentricity) and tumor volume (largest blob volume, average blob volume, filtered average blob volume) to Gleason score in a multivariate analysis, yields correlation coefficient R=0.798 to 0.879 with P<0.01. The eccentricity t-statistic exceeded the volume t-statistic. Fitting histology-based total prostate tumor volume against Gleason score yields R=0.498, P=0.0098. From multi-parametric MRI, the correlation coefficient R between the Gleason score and the largest blob eccentricity for varying thresholds (0.30 to 0.55) ranged from -0.51 to -0.672 (P<0.01). For varying thresholds (0.60 to 0.80) for MRI detection, the R between the largest blob volume eccentricity against the Gleason score ranged from 0.46 to 0.50 (P<0.03). Combining tumor eccentricity and tumor volume in multivariate analysis failed to increase Gleason score prediction.ConclusionsProstate tumor eccentricity, determined by histology or MRI, more accurately predicted Gleason score than prostate tumor volume. Combining tumor eccentricity with volume from histology-based analysis enhanced Gleason score prediction, unlike MRI.

Project description:Despite the high prevalence of prostate cancer in older men, the predictive value of a polygenic risk score (PRS) remains uncertain in men aged ≥70 years. We used a 6.6 million-variant PRS to predict the risk of incident prostate cancer in a prospective study of 5701 men of European descent aged ≥70 years (mean age 75 years) enrolled in the ASPirin in Reducing Events in the Elderly (ASPREE) clinical trial. The study endpoint was prostate cancer, including metastatic or non-metastatic disease, confirmed by an expert panel. After excluding participants with a history of prostate cancer at enrolment, we used a multivariable Cox proportional hazards model to assess the association between the PRS and incident prostate cancer risk, adjusting for covariates. Additionally, we examined the distribution of Gleason grade groups by PRS group to determine if a higher PRS was associated with higher grade disease. We tested for interaction between the PRS and aspirin treatment. Logistic regression was used to independently assess the association of the PRS with prevalent (pre-trial) prostate cancer, reported in medical histories. During a median follow-up time of 4.6 years, 218 of the 5701 participants (3.8%) were diagnosed with prostate cancer. The PRS predicted incident risk with a hazard ratio (HR) of 1.52 per standard deviation (SD) (95% confidence interval (CI) 1.33-1.74, p < 0.001). Men in the top quintile of the PRS distribution had an almost three times higher risk of prostate cancer than men in the lowest quintile (HR = 2.99 (95% CI 1.90-4.27), p < 0.001). However, a higher PRS was not associated with a higher Gleason grade groups. We found no interaction between aspirin treatment and the PRS for prostate cancer risk. The PRS was also associated with prevalent prostate cancer (odds ratio = 1.80 per SD (95% CI 1.65-1.96), p < 0.001).While a PRS for prostate cancer is strongly associated with incident risk in men aged ≥70 years, the clinical utility of the PRS as a biomarker is currently limited by its inability to select for clinically significant disease.

Project description:Initial management of intermediate-risk prostate cancer is evolving, with no clear recommendation for treatment. Data on utilization of active surveillance for patients with newly diagnosed intermediate-risk prostate cancer may help clarify emerging trends. To further characterize US national trends of initial management of intermediate-risk prostate cancer. This cohort study included patients with intermediate-risk prostate cancer diagnosed from January 1, 2010, to December 31, 2020. Eligible patients were diagnosed in US hospitals included in the National Cancer Database; National Comprehensive Cancer Network risk stratification guidelines were used to characterize as favorable vs unfavorable intermediate risk. Analysis was performed in September 2023. Active surveillance vs intervention with surgery and/or radiation or no treatment. Temporal trends in demographic, clinical, and socioeconomic factors among men with intermediate-risk prostate cancer and their association with the use of active surveillance; further subgroup analysis was conducted for those with favorable vs unfavorable intermediate risk classification. In total, 289 584 men diagnosed with intermediate-risk prostate cancer were identified from 2010 to 2020 (46 147 Black [15.9%], 230 071 White [79.5%]). Among patients, 153 726 (53.1%) underwent prostatectomy, 107 152 (37.0%) underwent radiotherapy, and 15 847 (5.5%) underwent active surveillance as initial treatment strategy. Overall, active surveillance quadrupled from 418 of 21 457 patients (2.0%) in 2010 to 2428 of 28 192 patients (8.6%) in 2020 for the entire cohort (P < .001). Active surveillance increased from 317 of 12 858 patients (2.4%) in 2010 to 2020 of 12 902 patients (13.5%) in 2020 in men with favorable intermediate-risk prostate cancer (P < .001). In the unfavorable intermediate-risk cohort, active surveillance increased from 101 of 8181 patients (1.2%) in 2010 to 408 of 12 861 patients (3.1%) in 2020 (P < .001). On multivariable analysis, use of active surveillance was associated with increased age (age 70-80 years vs <50 years: odds ratio [OR], 3.09; 95% CI, 2.66-3.59), lower Gleason score (3 + 3 vs 3 + 4: OR, 3.45; 95% CI, 3.25-3.66), early T stage (T2c vs T1a through T2a: OR, 0.35; 95% CI, 0.32-0.38), treatment at an academic center (community vs academic center: OR, 0.72; 95% CI, 0.67-0.78), higher level of education (communities with 21% or higher population without high school vs less than 7%: OR, 0.73; 95% CI, 0.67-0.79), insurance type (Medicare or other governmental service vs private: OR, 1.11; 95% CI, 1.07-1.16), proximity to treatment facility (greater than 120 miles vs less than 60 miles: OR, 0.75; 95% CI, 0.68-0.84), facility location (South Atlantic vs New England: OR, 0.54; 95% CI, 0.46-0.53), and lower income (less than $38 000 vs $63 000 or greater: OR, 1.22; 95% CI, 1.14-1.31). These findings highlight increasing implementation of active surveillance in the initial management of intermediate risk prostate cancer. Prospective data with improved risk stratification incorporating genomics and digital pathology artificial intelligence as well as novel surveillance strategies may continue to better delineate optimal treatment recommendations in this patient population.

Dataset Information

A novel DNA methylation score accurately predicts death from prostate cancer in men with low to intermediate clinical risk factors.

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A novel DNA methylation score accurately predicts death from prostate cancer in men with low to intermediate clinical risk factors.

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