17-gene Genomic Prostate Score Research Articles

Association of Genomic Prostate Score at positive margin with recurrence after radical prostatectomy.

To evaluate the utility of the 17-gene Genomic Prostate Score® (GPS; MDxHealth, Irvine, CA, USA) performed on prostate cancer at the positive margin of the radical prostatectomy (RP) for its association with risk of subsequent biochemical recurrence (BCR). We designed a case-cohort for the outcome of BCR, selecting 223 from a cohort of 813 RP patients treated at Johns Hopkins from 2008 to 2017 with positive margins and available clinical data; of these, 213 had available tissue and clinical data. RNA was isolated from formalin-fixed paraffin-embedded tumour tissue adjacent to the positive surgical margin and the GPS was evaluable in 203 of these patients with a score ranging from 0 to 100, with higher scores indicating higher risk. All patients underwent RP with or without adjuvant radiation therapy (ART). The statistical analysis employed Cox proportional hazards regression models for outcome of BCR weighted for case-cohort design. In univariable analysis, every 20-unit increase in the GPS was associated with a nearly threefold increase in risk of BCR (hazard ratio [HR] per 20 units 2.82, P < 0.001). In a multivariable Cox model adjusted for age, race, Cancer of the Prostate Risk Assessment Postsurgical score, Grade Group at the positive margin, and ART, the GPS was significantly associated with BCR (HR 1.56 per 20 units; 95% confidence interval 1.11-2.19; P = 0.011). The study is limited by its retrospective and single institution design. The GPS at the positive surgical margin could help stratify prognosis and inform clinical decision-making regarding adjuvant therapy after RP.

Real-world utilization, patient characteristics, and treatment patterns among men with localized prostate cancer tested with the 17-gene genomic prostate score® (GPSTM) assay.

Descriptive study focusing on real-world utilization and characteristics of men with prostate cancer tested with the 17-gene Genomic Prostate Score® (GPS™) assay by linking administrative claims and electronic health record (EHR) data with GPS results. This retrospective, observational cohort study (January 1, 2013 to December 31, 2020) included men aged 40-80 years with localized prostate cancer claims, continuous enrollment in Optum's Integrated Claims data set, ≥1 day of EHR clinical activity, and a GPS result. Men were classified as undergoing definitive therapy (DT) (prostatectomy, radiation, or focal therapy) or active surveillance (AS). AS and DT distribution were analyzed across GPS results, National Comprehensive Cancer Network® (NCCN®) risk, and race. Costs were assessed 6 months after the first GPS result (index); clinical outcomes and AS persistence were assessed during the variable follow-up. All variables were analyzed descriptively. Of 834 men, 650 (77.9%) underwent AS and 184 (22.1%) DT. Most men had Quan-Charlson comorbidity scores of 1-2 and a tumor stage of T1c (index). The most common Gleason patterns were 3 + 3 (79.6%) (AS cohort) and 3 + 4 (55.9%) (DT cohort). The mean (standard deviation) GPS results at index were 23.2 (11.3) (AS) and 30.9 (12.9) (DT). AS decreased with increasing GPS result and NCCN risk. Differences between races were minimal. Total costs were substantially higher in the DT cohort. Most men with GPS-tested localized prostate cancer underwent AS, indicating the GPS result can inform clinical management. Decreasing AS with increasing GPS result and NCCN risk suggests the GPS complements NCCN risk stratification.

The 17-Gene Genomic Prostate Score Assay Is Prognostic for Biochemical Failure in Men With Localized Prostate Cancer After Radiation Therapy at a Community Cancer Center

The objective of this study was to assess the association between the Oncotype DX Genomic Prostate Score (GPS) assay and long-term outcomes in men with localized prostate cancer (PCa) after radiation therapy (RT). We hypothesized that the GPS assay is prognostic for biochemical failure (BCF), along with distant metastasis (DM) and PCa-specific mortality in patients with PCa receiving RT. We retrospectively studied men with localized PCa treated with definitive RT at Georgia Urology from 2010 to 2016. The primary objective was to assess the association between GPS results and time to BCF per the Phoenix criteria; we also assessed time to DM and PCa-specific mortality. We used Cox proportional hazards regression models for all analyses, with clinicopathologic covariates determined a priori for multivariable modeling. A total of 450 patients (median age, 65 years; 35% Black) met eligibility criteria. There was a strong univariable association between GPS result and time to BCF (hazard ratio [HR] per 20-unit increase=3.08; 95% confidence interval [CI], 2.11-4.46; P < .001), which persisted after adjusting for clinicopathologic characteristics in multivariable analyses. We also observed this association for time to DM (HR=5.19; 95% CI, 3.06-8.77; P < .001) and PCa-specific mortality (HR=13.07; 95% CI, 4.42-49.39; P < .001). Race was not a predictor of time to BCF or DM, and the GPS assay was strongly prognostic for all endpoints in Black and White patients. In a community-based cohort, the GPS assay was strongly prognostic for time to BCF as well as long-term outcomes in men treated with RT for localized PCa.

The 17-Gene Genomic Prostate Score Test Is Prognostic for Outcomes After Primary External Beam Radiation Therapy in Men With Clinically Localized Prostate Cancer

The Oncotype DX Genomic Prostate Score® (GPS™) assay has been validated as a strong prognostic indicator of adverse pathology, biochemical recurrence, distant metastasis (DM), and prostate cancer (PCa)-related death (PCD) in men with localized PCa after radical prostatectomy. However, it has yet to be tested in men undergoing external beam radiation therapy (EBRT), for whom assessing PCa progression risk could inform decisions on treatment intensity. We analyzed whether GPS results are associated with time to biochemical failure (BCF), DM, and PCD after EBRT in men with localized PCa and whether the association is modified by race. We conducted a retrospective study of men with localized PCa treated with EBRT at the [ANONYMIZED FOR REVIEW] from 2000 to 2016. Study endpoints were time to BCF per the Phoenix criteria, DM, and PCD. The association of GPS results, per 20-unit increase or dichotomous variable (0-40 versus 41-100), was evaluated with each endpoint using univariable and multivariable Cox proportional hazards models. Results were then stratified by race. A total of 238 patients (69% Black) met eligibility criteria. Median follow-up for patients who did not experience BCF was 7.6 years. GPS results per 20-unit increase were significantly associated with BCF (hazard ratio (HR) 3.62; 95% CI 2.59, 5.02), DM (HR 4.48; 2.75, 7.38), and PCD (HR 5.36; 3.06, 9.76) in univariable analysis. GPS results remained significant in multivariable models adjusted for baseline clinical and pathological factors, with HRs similar to the univariable analysis. There was no significant interaction between the GPS assay and race (p=0.923). HRs for BCF were similar in Black men (3.88; 2.40, 6.24) versus non-Black men (4.01; 2.42, 6.45). Among men treated with EBRT, the GPS assay is a strong, independent prognostic indicator of time to BCF, DM and PCD, and performs similarly in Black and non-Black men.

Association between Results from the 17-Gene Genomic Prostate Score Assay and Long-Term Outcomes after External Beam Radiation Therapy in Intermediate- or High-Risk Prostate Cancer Patients, Independent of Race

<h3>Purpose/Objective(s)</h3> The 17-gene genomic prostate score (GPS) assay is a prognostic tool that evaluates gene expression from prostate cancer (PC) biopsy tissue and generates a score between 0 to 100, with higher scores indicating more aggressive disease. The GPS assay is validated as a strong predictor of adverse outcomes in men with localized PC after prostatectomy. For patients treated with external beam radiation therapy (EBRT), a genomic assay using core needle biopsy tissue that predicts risk of PC progression could inform decisions regarding treatment intensity. Here, we analyzed whether GPS results are associated with time to biochemical failure (BCF), distant metastasis (DM), and prostate cancer related death (PCD) after EBRT for localized PC and, if so, whether the association is modified by race. <h3>Materials/Methods</h3> We conducted a retrospective study on men with localized PC treated with EBRT at an equal-access academic health center from 2000 to 2016. Patients were treated per standard of care with <i>post hoc</i> GPS assay analysis. Endpoints investigated were time to BCF per the Phoenix criteria, DM, and PCD. The association of GPS result with each endpoint was evaluated using multivariable Cox proportional hazards models. Results were then stratified by race. <h3>Results</h3> A total of 238 patients met eligibility criteria; 69% were Black. The National Comprehensive Cancer Network (NCCN) risk group distribution was: 30% very low, low, or favorable intermediate; 37% unfavorable intermediate; 21% high; 11% very high. Median follow-up for patients who did not experience BCF was 7.6 years. The GPS result, when stratified by 20 units, was significantly associated with BCF, DM, and PCD in multivariable analysis, adjusted for NCCN risk group (Table 1). Similar results were observed with a dichotomous GPS result. There was no significant interaction between the GPS assay and race (p=0.923). HRs for BCF were similar in AA men (HR 3.88; 95% CI 2.40-6.24) versus non-AA men (HR 4.01; 95% CI 2.42-6.45). <h3>Conclusion</h3> Among men treated with EBRT, the GPS assay is a strong, independent predictor of time to BCF, DM and PCD. In patients with unfavorable intermediate-risk PC and higher, the GPS assay can stratify risk beyond the NCCN categories, identifying patients who could be candidates for treatment (de)intensification. The results also suggest that the association between the GPS result and long-term outcomes is independent of race.

The 17-gene Genomic Prostate Score assay as a predictor of biochemical recurrence in men with intermediate and high-risk prostate cancer.

The validated 17-gene Oncotype DX Genomic Prostate Score® (GPS™) assay risk-stratifies prostate-cancer patients with localized disease. The assay has primarily been utilized in lower risk patients deciding between active surveillance versus definitive therapy. In this retrospective cohort study, we analyze the association of the GPS result with time to biochemical recurrence post-prostatectomy in patients with National Comprehensive Cancer Network® (NCCN) intermediate and higher risk prostate cancer. The 141 patients included in the study were from the NorthShore University HealthSystem diagnosed 2014-2019 with NCCN intermediate (n = 109) or higher risk (n = 32) prostate cancer, treated with radical prostatectomy 2015-2019. The association of GPS result with time to biochemical recurrence was evaluated using univariable and multivariable Cox proportional hazards models in 120 patients with unfavorable intermediate or higher risk. Median (interquartile range) follow-up time was 28 (20 to 38) months. The GPS result was significantly associated with time to biochemical recurrence as both a continuous and dichotomous variable in univariable (hazard ratio [HR] per 20 GPS units 2.36, 95% CI 1.45-3.80, p < 0.001; HR for GPS result 41-100 vs 0-40 3.28, 95% CI 1.61-7.19, p < 0.001) and in multivariable models accounting for NCCN risk group (HR per 20 GPS units 2.14, 95% CI 1.31-3.46, p = 0.003; HR for GPS result 41-100 vs 0-40 3.00, 95% CI 1.43-6.72, p = 0.003) or biopsy Gleason Score and diagnostic PSA or PSA density. These results indicate that the GPS assay was a strong predictor of biochemical recurrence after radical prostatectomy in this unfavorable intermediate and higher risk prostate cancer patient population.

P1208 - The 17-gene Genomic Prostate Score® assay as a predictor of biochemical recurrence in men with intermediate- and high-risk prostate cancer

P1208 - The 17-gene Genomic Prostate Score® assay as a predictor of biochemical recurrence in men with intermediate- and high-risk prostate cancer

Treatment decisions and outcomes for NCCN favorable intermediate-risk prostate cancer patients after receiving the 17-gene genomic prostate cancer score result.

218 Background: Molecular assays are used to improve risk stratification in prostate cancer. This study determined how the 17-gene Genomic Prostate Score (GPS) assay guides treatment decisions in patients with NCCN favorable intermediate-risk prostate cancer. Methods: This retrospective study included 324 patients from 7 urology practices in the United States. All patients had NCCN favorable intermediate-risk prostate cancer, defined as &lt;50% positive biopsy cores and only one of the following risk factors: grade group 2 (Gleason Score 3+4), clinical stage T2b-T2c, or PSA 10-20 ng/mL. All patients also had a GPS assay report dated May 2017 to April 2019. The GPS assay allows risk stratification into post-GPS very low-, low-, favorable intermediate-, unfavorable intermediate-, and high-risk groups, with higher GPS scores representing increased risk. Data were collected from patients' charts/electronic health records. The proportion of patients who selected active surveillance (AS) over immediate definitive treatment and AS, monotherapy, or multimodal therapy was calculated with 95% confidence intervals (CI) using the Clopper-Pearson method. Results: Patients comprised 79% with Gleason Score 3+4, 19% with PSA 10-20 ng/mL, and 2% with clinical stage T2b; median GPS result was 26. Post-GPS risk groups were 0%, 16%, 11%, 57%, and 16% very low-, low-, favorable intermediate-, unfavorable intermediate-, and high-risk groups respectively. Overall, 31% (95% CI 26%, 36%) of patients selected active surveillance (AS), with rate declining as post-GPS risk increased: 57% (95% CI 42%, 71%) selected AS in the post-GPS low-risk, 51% (95% CI 34%, 69%) in the post-GPS favorable intermediate-risk, 26% (95% CI 20%, 33%) in the post-GPS unfavorable intermediate-risk, and 6% (95% CI 1%, 16%) in the post-GPS high-risk group. Post-GPS unfavorable intermediate/high risk-patients were more likely to receive monotherapy than low/favorable intermediate-risk patients (high, 72%; unfavorable intermediate, 64%; favorable intermediate, 37%; and low, 37%); high-risk patients were more likely to receive multimodal therapy (high, 23%; unfavorable intermediate, 10%; favorable intermediate, 11%; and low, 6%). Median follow-up time was 18 months, and one prostate cancer-related metastasis and 2 deaths (neither prostate cancer-related) were reported. Complications (erectile dysfunction, urinary/bowel incontinence) were more common in treated than AS patients. AS persistence was 91% (95% CI 82%, 95%) at 12 months; patients discontinued AS due to disease progression (61%) or patient preference/unknown reasons (39%). Conclusions: The GPS result is associated with selection of AS and treatment intensity in this first examination of genomic classifiers in a cohort of prostate cancer patients with NCCN favorable intermediate-risk.

Multicenter Comparison of 17-Gene Genomic Prostate Score as a Predictor of Outcomes in African American and Caucasian American Men with Clinically Localized Prostate Cancer

Adoption of prognostic molecular assays for prostate cancer requires evidence of robust performance in different racial groups. Retrospective analysis was conducted to assess the performance of the Oncotype DX® Genomic Prostate Score® test in Black and White men with surgically treated prostate cancer. We compared the assay results (scale 0-100) and the 4 gene group scores in biopsy specimens from 201 Black and 1,144 White men with clinically localized prostate cancer in 6 cohorts. Adverse pathology was defined as high grade (primary Gleason pattern 4 or any pattern 5) and/or nonorgan-confined disease (≥pT3). Binary logistic regression models were used for adverse pathology. Biochemical recurrence was defined as 2 successive prostate specific antigen levels >0.2 ng/ml or initiation of salvage therapy after radical prostatectomy. Cox proportional hazards models evaluated the association of the assay result or racial group with time to biochemical recurrence. Each cohort had different clinical risk distributions and percentages of Blacks, although median and interquartile ranges of the assay results and gene group scores were similar between both racial groups. In a multivariable model with the assay and pathological/clinical features including race, the assay was significantly associated with adverse pathology (p ≤0.004) and biochemical recurrence (p <0.001). Race was not a significant predictor of either end point. The assay is similarly predictive of outcomes in Black and White patients, and improves risk stratification in men with newly diagnosed prostate cancer from both racial groups.

Re: 17-Gene Genomic Prostate Score Test Results in the Canary Prostate Active Surveillance Study (PASS) Cohort

Re: 17-Gene Genomic Prostate Score Test Results in the Canary Prostate Active Surveillance Study (PASS) Cohort

The 17-Gene Genomic Prostate Score Test as a Predictor of Outcomes in Men with Unfavorable Intermediate Risk Prostate Cancer

To evaluate the association of the Genomic Prostate Score (GPS) assay result with biochemical recurrence (BCR), distant metastases (DM), and prostate-specific death (PCD) in unfavorable intermediate (UFI) risk prostate cancer patients. The GPS assay is used to help guide management decisions for newly diagnosed low and favorable intermediate (FI) risk disease. GPS results from 2 studies (Center for Prostate Disease Research [CPDR]; Kaiser Permanente Northern California [KPNC]) in men treated with radical prostatectomy were analyzed to determine associations of the GPS result with BCR, DM, and PCD in UFI risk disease. Analyses included 299 intermediate risk prostate patients, 175 of whom had UFI risk disease (KPNC=103; CPDR=72). The GPS result as a dichotomous value (≤40 vs >40) was a significant predictor of BCR in UFI patients in multivariate analyses (hazard ratio [HR] 6.0; 95% confidence interval [CI] 2.0-22.4; P=.0035; CPDR). The GPS result was a strong predictor of all 3 endpoints in multivariate analyses (BCR HR 7.1; 95% CI 5.7-8.8; P < .0001; DM HR 5.4; 95% CI 3.8-7.8; P < .0001; PCD HR 3.4; 95% CI 1.5-8.9; P=.006; KPNC). UFI patients with GPS >40 had outcomes consistent with high-risk disease, whereas UFI patients with GPS ≤40 had outcomes similar to FI risk patients (CPDR/KPNC). The GPS result was a strong independent predictor of BCR, DM, and PCD in intermediate risk prostate cancer. UFI patients with GPS >40 have a poor prognosis and may benefit from additional therapeutic options.

Abstract A067: Oncotype DX assay has similar predictive accuracy for adverse pathology at radical prostatectomy in African American and European American men

Abstract Objective: To validate the 17-gene Oncotype DX Genomic Prostate Score (GPS) biopsy-based gene expression assay as a predictor of adverse pathology (AP: Pathologic Gleason score ≥4+3, presence of any Gleason 5, and/or ≥pT3) in African American (AA) men. Methods: Between February 2009 and September 2014, AA and European American (EA) men with very low, low, and intermediate risk prostate cancer (PCa) enrolled in a multi-institutional prospective study of vitamin D impacts of biopsy outcomes. The subset who proceeded to immediate radical prostatectomy (RP) after biopsy with available biopsy tumor blocks was included in a comparative effectiveness analysis of GPS on biopsy and its association with surgical AP on RP using logistic regression and receiver operating characteristic curves. Multiplicative interactions tested for differential prediction of GPS accuracy by race (AA vs. EA). Results: Overall, 102 AA and 76 EA men elected RP, out of which 51 (47.2%) had AP. GPS result was a significant predictor of AP (odds ratio per 20 GPS units [OR/20 units] in AA: 4.78; 95% CI 1.8-12.5, P =0.001; and EA: 4.41; 95% CI 1.6-11.9, P =0.003) in univariable analysis. On multivariate analysis, there was a significant interaction between GPS and race (P=0.01). On race stratified binary logistic regression, AP remained significant after adjustment for NCCN risk group in both AA and EA men (OR/20 units in AA: 3.29; 95% CI 1.2-9.1, P =0.02; and EA: 4.24; 95% CI 1.4-12.6, P =0.01). Area under the curves for AP using GPS/20 units was 0.719 for AAs vs. 0.745 for EAs (P=0.39). Conclusion: In this AA validation study, the Oncotype Dx PCa assay was confirmed as an independent predictor of AP at prostatectomy in AA and EA men with similar predictive accuracy, though there was evidence of effect modification by race. Citation Format: Samuel Carbunaru, Virgilia Marcias, Peter Gann, Roohollah Sharifi, Ximing Yang, Michael Dixon, Chase Gorbein, Borko Jovanovic, Andre Kajdacsy-Balla, Adam B. Murphy. Oncotype DX assay has similar predictive accuracy for adverse pathology at radical prostatectomy in African American and European American men [abstract]. In: Proceedings of the Twelfth AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2019 Sep 20-23; San Francisco, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(6 Suppl_2):Abstract nr A067.

A 17-Gene Panel Genomic Prostate Score Has Similar Predictive Accuracy for Adverse Pathology at Radical Prostatectomy in African American and European American Men

ObjectiveTo validate the 17-gene Oncotype DX Genomic Prostate Score (GPS) as a predictor of adverse pathology (AP) in African American (AA) men and to assess the distribution of GPS in AA and European American (EA) men with localized prostate cancer. MethodsThe study populations were derived from 2 multi-institutional observational studies. Between February 2009 and September 2014, AA and EA men who elected immediate radical prostatectomy after a ≥10-core transrectal ultrasound biopsy were included in the study. Logistic regressions, area under the receiver operating characteristics curves (AUC), calibration curves, and predictive values were used to compare the accuracy of GPS. AP was defined as primary Gleason grade 4, presence of any Gleason pattern 5, and/or non-organ-confined disease (≥pT3aN0M0) at radical prostatectomy. ResultsOverall, 96 AA and 76 EA men were selected and 46 (26.7%) had AP. GPS result was a significant predictor of AP (odds ratio per 20 GPS units [OR/20 units] in AA: 4.58; 95% confidence interval (CI) 1.8-11.5, P = .001; and EA: 4.88; 95% CI 1.8-13.5, P = .002). On multivariate analysis, there was no significant interaction between GPS and race (P >.10). GPS remained significant in models adjusted for either National Comprehensive Cancer Network (NCCN) risk group or Cancer of the Prostate Risk Assessment (CAPRA) score. In race-stratified models, area under the receiver operating characteristics curves for GPS/20 units was 0.69 for AAs vs 0.74 for EAs (P = .79). The GPS distributions were not statistically different by race (all P >.05). ConclusionIn this clinical validation study, the Oncotype DX GPS is an independent predictor of AP at prostatectomy in AA and EA men with similar predictive accuracy and distributions.

MP23-07 THE 17-GENE RT-PCR PROSTATE ASSAY: CLINICAL EXPERIENCE IN 33,000 PATIENTS WITH CLINICALLY LOW-RISK PROSTATE CANCER

INTRODUCTION AND OBJECTIVE:The 17-gene Oncotype DX Genomic Prostate Score® (GPS™) assay is a biopsy-based gene expression assay specifically developed for clinically low-risk prostate cancer (PCa):...

17-Gene Genomic Prostate Score Test Results in the Canary Prostate Active Surveillance Study (PASS) Cohort.

The 17-gene Oncotype DX Genomic Prostate Score (GPS) test predicts adverse pathology (AP) in patients with low-risk prostate cancer treated with immediate surgery. We evaluated the GPS test as a predictor of outcomes in a multicenter active surveillance cohort. Diagnostic biopsy tissue was obtained from men enrolled at 8 sites in the Canary Prostate Active Surveillance Study. The primary endpoint was AP (Gleason Grade Group [GG] ≥ 3, ≥ pT3a) in men who underwent radical prostatectomy (RP) after initial surveillance. Multivariable regression models for interval-censored data were used to evaluate the association between AP and GPS. Inverse probability of censoring weighting was applied to adjust for informative censoring. Predictiveness curves were used to evaluate how models stratified risk of AP. Association between GPS and time to upgrade on surveillance biopsy was evaluated using Cox proportional hazards models. GPS results were obtained for 432 men (median follow-up, 4.6 years); 101 underwent RP after a median 2.1 years of surveillance, and 52 had AP. A total of 167 men (39%) upgraded at a subsequent biopsy. GPS was significantly associated with AP when adjusted for diagnostic GG (hazards ratio [HR]/5 GPS units, 1.18; 95% CI, 1.04 to 1.44; P = .030), but not when also adjusted for prostate-specific antigen density (PSAD; HR, 1.85; 95% CI, 0.99 to 4.19; P = .066). Models containing PSAD and GG, or PSAD, GG, and GPS may stratify risk better than a model with GPS and GG. No association was observed between GPS and subsequent biopsy upgrade (P = .48). In our study, the independent association of GPS with AP after initial active surveillance was not statistically significant, and there was no association with upgrading in surveillance biopsy. Adding GPS to a model containing PSAD and diagnostic GG did not significantly improve stratification of risk for AP over the clinical variables alone.

Stability of a 17-Gene Genomic Prostate Score in Serial Testing of Men on Active Surveillance for Early Stage Prostate Cancer.

Genomic testing may improve risk stratification in men with prostate cancer managed by active surveillance. We aimed to characterize the stability and usefulness of serial genomic test scores in men undergoing serial biopsies during active surveillance. We compiled clinical and disease characteristics of men on active surveillance using an institutional Urologic Outcomes Database. We included patients initially diagnosed with Gleason 3 + 3 prostate cancer who elected active surveillance and received 2, 17-gene GPS (Genomic Prostate Score) results. We examined the association of GPS results and Gleason grade reclassification (Gleason 3 + 4 or greater) with definitive treatment using multivariable Cox proportional hazards regression models. We identified 111 men who underwent serial genomic testing. There were 49 grade reclassification events (44%) at a median followup of 64 months. The mean ± SD GPS change between the first and second biopsies was 2.1 ± 10.3. The GPS at first biopsy (per 5 units HR 1.04, 95% CI 1.00-1.07, p=0.03) was associated with an upgrade at second biopsy, although the second GPS was not (HR 1.02, 95% CI 0.99-1.05, p=0.13). The first and second GPSs (HR 1.09, 95% CI 1.04-1.14 and HR 1.09, 95% CI 1.04-1.14, each p <0.01) were associated with active treatment. The GPS undergoes small changes with time. Absolute GPS results at the first and second biopsies were associated with Gleason upgrading and transition from active surveillance to active treatment.

The relative contributions of the Genomic Prostate Score and comorbidity profile in predicting outcomes in surgically treated men with clinically low and intermediate-risk prostate cancer.

e16607 Background: The 17-gene Oncotype Dx Genomic Prostate Score® (GPS™) assay has been validated as a predictor of aggressive prostate cancer (PCa) in men treated with radical prostatectomy (RP) for clinically low and intermediate risk PCa. This study examined the performance of the GPS assay as a predictor of adverse pathology (AP) and biochemical recurrence (BCR)-free survival (BRFS), after adjusting for the presence of major comorbidities commonly seen in older men. Methods: Additional analyses were performed using data from a prior clinical validation study of the GPS assay. GPS values (scaled 0-100), determined from diagnostic biopsy tissue, were categorized into 3 levels: lowest quartile (Q1), middle quartiles (combined Q2-Q3) versus the highest quartile (Q4). Major comorbidities included heart disease, stroke, COPD, and other cancers. The associations between GPS result and the presence of ≥1 major comorbidity and outcomes were examined. AP was defined as high-grade (Gleason Score ≥ 4+3) and/or pT3 tumor. BCR was defined as 2 successive PSA levels &gt; 0.2 ng/mL. Logistic regression analysis was used to examine AP; Cox proportional hazards analysis was used to model BRFS. Results: Among 389 eligible men, median age at diagnosis and follow-up time was 62 and 5.6 years, respectively. The prevalence of ≥1 major comorbidity differed significantly across GPS category, rising from 10.2% to 19.7% to 25.5% for GPS Quartiles 1, 2-3, and 4, respectively (p = 0.0024). However, presence of ≥1 major comorbidity was not a significant predictor of AP or BCR in multivariable models with GPS, age, race, and NCCN risk stratum. Men whose GPS result was in the highest quartile had 4-fold higher odds of AP (OR: 4.1; 95% CI = 2.1-7.99, p &lt; 0.0001) at RP and a 3.5 times higher risk of BCR (HR = 3.49; 95% CI = 1.59-7.64, p = 0.002) compared to men in the lowest GPS quartile (Table 1). Conclusions: A high GPS result remains the strongest predictor of BCR and AP in this cohort of low and intermediate risk PCa men, after adjusting for the presence of major comorbidities. Further work will explore the relationships between specific comorbidities and metabolic syndrome, with GPS testing and PCa outcomes.

A 17-gene genomic prostate score as a predictor of adverse pathology for men on active surveillance.

97 Background: The OncotypeDX Genomic Prostate Score (GPS) test is a RNA expression assay that can be performed on needle-core biopsies from men with prostate cancer (PCa). GPS has previously been validated as a predictor of adverse pathology in men with low-risk prostate cancer who undergo primary radical prostatectomy (RP). We sought to determine whether GPS was associated with increased risk of adverse pathology for men enrolled on active surveillance (AS) who undergo delayed RP. Methods: Of 1,662 men enrolled on AS at the University of California San Francisco (UCSF) who consented for prospective data collection, we evaluated 215 men on AS with Gleason score (GS) 3+3 and GS 3+4 PCa who underwent GPS testing at diagnostic or confirmatory biopsy (ie. within 1 year). Patients had at least 6 biopsy cores sampled and ≤ 33% positive cores, stage T1 or T2 disease, PSA &lt; 20, and clinical Cancer of the Prostate Risk Assessment (CAPRA) score &lt; 6. The primary outcome was adverse pathology at delayed RP, defined as GS ≥ 4+3, stage ≥ pT3a or pN1. We performed Cox proportional hazards regression, and inverse probability censored weights (IPCW) models to evaluate association between GPS and adverse pathology, adjusting for CAPRA score. Results: 72 percent (N=154) of the cohort had GS 3+3, and 28 percent (N=61) had GS 3+4. 83 percent of men (N=179) were low risk, and 17 percent of men (N=36) were intermediate risk by CAPRA scoring. Median GPS was 26.4 (interquartile range [IQR]: 18.8, 34.6). Median time from diagnosis to RP was 23 months (IQR: 15, 40). 121 men had adverse pathology on delayed RP at a median time of 27 months (IQR 16, 43) to prostatectomy. In a Cox-proportional hazards regression adjusted for CAPRA, GPS was associated with increased risk of adverse pathology at delayed RP (Hazard Ratio [HR] per 5 units: 1.12, 95 Confidence Interval [CI]: 1.05, 1.20, p &lt; 0.01). CAPRA score was not associated with adverse pathology (p=0.09). IPCW model findings were very similar to Cox results. Conclusions: In patients who undergo RP after a relatively short period of AS, a higher GPS is associated with increased risk for adverse pathology on delayed RP.

Performance of the 17-gene genomic prostate score test in men with prostate cancer (PCa) managed with active surveillance (AS): Results from the Canary Prostate Active Surveillance Study (PASS).

262 Background: The 17-gene Genomic Prostate Score (GPS) test (scale 0-100) predicts adverse surgical pathology (AP) and recurrence in newly diagnosed low- and intermediate-risk PCa. Studies of the predictive value of the GPS test in men initially managed with AS are limited. Methods: Diagnostic biopsy tissue was obtained from 634 men enrolled at 8 sites in PASS. Time to AP (Gleason Grade Group (GG) ≥3, ≥pT3a, or N1) in men who underwent radical prostatectomy (RP) was the primary endpoint. All diagnostic biopsies and RP specimens were centrally reviewed. Multivariate regression models for interval censored data were used to evaluate the association between time to AP and GPS. Inverse probability of censoring weighting was applied to adjust for informative censoring. Association between GPS and time to Gleason score upgrade on surveillance biopsy was also evaluated using a Cox Proportional Hazards model. Results: GPS results were obtained for 432 men (median follow-up 4.6 [IQR: 2.9-6.2] years); 374 and 58 with GG 1 or 2 cancer, respectively; median PSA density (PSAD) was 0.11 [IQR: 0.08-0.15]; 101 men underwent RP with central pathology after a median of 2.1 [IQR: 1.3-4.3] years surveillance, and 52 (52%) men undergoing RP had AP. 167 men upgraded at a subsequent biopsy. No clinico-pathologic covariates were significantly associated with AP other than PSAD. GPS was significantly associated with time to AP (hazards ratio [HR]/20 GPS units: 1.96 [95% CI = 1.17-4.28]; p = 0.030), when adjusted for diagnostic GG, or for dichotomous PSAD ( &lt; vs ≥ 0.15; HR: 1.83, 95% CI = 1.04-3.62; p = 0.046). GPS was not significantly associated with AP (HR: 1.61, 95% CI = 0.87-2.98; p = 0.12) when adjusted for continuous PSAD. No association, either univariable or multivariable, was observed between GPS and subsequent biopsy upgrade. Conclusions: In a cohort of men on AS, GPS was associated with time to AP when adjusted for diagnostic GG or dichotomous PSAD. GPS was not associated with surveillance biopsy GG upgrading or AP at surgery after adjustment for continuous PSAD, although a trend was seen for AP, suggesting an association may be seen in a larger study.

A 17-gene Panel for Prediction of Adverse Prostate Cancer Pathologic Features: Prospective Clinical Validation and Utility

To validate the 17-gene Oncotype DX Genomic Prostate Score (GPS) biopsy-based gene expression assay as a predictor of adverse pathology (AP, Gleason score [pGS] ≥4+3and/or ≥pT3) in a prospectively enrolled cohort. Between July 2014 and September 2015, 1200 men with very low-, low-, and favorable intermediate-risk prostate cancer enrolled in a multi-institutional prospective study of the GPS assay (NCT03502213). The subset who proceeded to immediate radical prostatectomy (RP) after GPS testing was included in a prespecified subanalysis of GPS on biopsy and its association with surgical AP on RP using logistic regression and receiver operating characteristic curves. The effect of GPS testing on physicians' and patients' attitudes about decision making was assessed with the Decisional Conflict Scale. One hundred fourteen patients (treated by 59 physicians from 19 sites) elected RP and 40 (35%) had AP. GPS result was a significant predictor of AP (odds ratio per 20 GPS units [OR/20 units]: 2.2; 95% CI 1.2-4.1; P = .008) in univariable analysis and remained significant after adjustment for biopsy Gleason score, clinical T-stage, and logPSA (OR/20 units: 1.9; 95% CI 1.0-3.8; P = .04), or NCCN risk group (OR/20 units: 2.0; 95% CI 1.1-3.7; P = .02). Mean pre-GPS Decisional Conflict Scale score was 27 (95% CI 24-31), which improved significantly after GPS testing to 14 (95% CI 11-17) (P < .001). In this real-world multi-institutional study, the GPS assay was prospectively confirmed as an independent predictor of AP at surgery. GPS testing was associated with reduced patient decisional conflict.