Sandler, Howard M.

PURPOSE Precision medicine has revolutionized oncology; however, tumor biomarkers are not reflective of the heterogeneous cancer population. We evaluated NRG Oncology prostate cancer (PCa) clinical trials for demographic differences among patients with optional biospecimen collection (BC) consent and biospecimen submission (BSub). METHODS Data from 19 NRG PCa clinical trials closed before 2015 were analyzed. Patients who consented to BC and completed BSub were evaluated by race, ethnicity, median income, area deprivation index (ADI; categorized as highest v lowest three quartiles), age at enrollment, site, and year of enrollment. T/chi-square tests were used for continuous/categorical variables, respectively, followed by logistic regression. RESULTS Of the 15,648 randomized patients eligible for BC, 11,796 (75%) had specimens submitted. In all, 4,598 (82.2%) of 5,597 eligible patients consented for optional BC in nine clinical trials with a separate BC consent process (consent rates by race/ethnicity: 74.1% Black, 72.8% Hispanic/Latino, 83.8% White). A smaller proportion of Black and Hispanic/Latino patients consented to optional BC compared with those who did not (12.1% v 19.5% Black, P < .0001; 3.5% v 5.8% Hispanic, P = .0006). In univariable logistic regression models, high ADI (more socioeconomic disadvantage) was associated with a decreased likelihood for optional BC consent (odds ratio [OR], 0.67 [95% CI, 0.55 to 0.82]; P = .02), but not a decreased likelihood for BSub (OR, 0.74 [95% CI, 0.53 to 1.04]; P = .08). Multivariable models demonstrated that Black/Hispanic/Latino patients were less likely to consent to optional BC, and Black patients were less likely to have BSub ( P < .05 for all). CONCLUSION White/non-Hispanic patients and those with less socioeconomic disadvantage were more likely to consent to optional BC, whereas Black patients were less likely to have BSub. Targeted solutions are needed to improve biorepository representation so that precision medicine approaches better reflect the cancer population.

ABSTRACTBackgroundWe aim to evaluate whether increased lymph node yield at prostatectomy (RP) is associated with improved outcomes in NRG/RTOG 9601, a randomized clinical trial of men who underwent either radiation (RT) alone or RT + bicalutamide for PSA elevation following RP for pT2/T3 prostate cancer.MethodsWe reviewed available pathology reports for patients in NRG/RTOG 9601 to determine the nodal count at RP. Cox proportional hazards models were used to assess effect of lymph nodes yield, arm (RT alone or RT + bicalutamide), Gleason score, positive margins, and seminal vesicle invasion on the following endpoints: times to local and distant failure and overall and disease‐specific survival.ResultsOf 760 patients, 552 (73%, 276 in each arm) had complete data available. Median node count in the entire cohort was 6 (range: 0–33, IQR: 3–9). There were no significant differences between arms in terms of patient demographic or clinical characteristics, including total lymph nodes removed in either arm. There was no significant association between total lymph nodes and overall or disease‐specific survival with both arms combined and when adjusting for arm. Notably, interaction analysis revealed that in seminal vesicle invasion, there was a significant association between lymph node yield and OS and DSS (HR = 0.91, 95% CI: 0.83–0.99, p = 0.034; HR = 0.87, 95% CI: 0.77–0.99, p = 0.029, respectively).ConclusionsAlthough lymph node yield in NRG/RTOG 9601 did not show association with adverse outcomes in the entire cohort or either arm alone, there was significant association between lymph node yield and adverse outcomes when seminal vesicle invasion was present. The therapeutic benefit of extensive lymph node dissection remains uncertain but could be more relevant in higher risk patients.

5013 Background: There is no established role for the use of docetaxel with ADT and RT for HRLPC, with mixed results seen in prior RCTs. Prior work from ICECaP (Ravi et al, Eur Urol 2024) has shown that patients (pts) with very high-risk disease (i.e. 2 or 3 risk factors [RFs]: Gleason ≥8, PSA >20, ≥cT3 and/or cN1) have the poorest outcomes with RT+ADT for HRLPC, with 5-year metastasis-free survival (MFS) of ≤80%. We aimed to perform an IPD meta-analysis of the role of docetaxel with ADT+RT for HRLPC and specifically evaluate whether patients with very high-risk disease benefit from the addition of docetaxel. Methods: IPD from RCTs involving pts with HRLPC treated with RT+ADT +/- docetaxel collated by ICECaP were analyzed. “High-risk” disease was defined as presence of 1 RF and “very high-risk” disease as 2-3 RFs and/or cN1 disease. The primary outcomes of interest were MFS and overall survival (OS). Hazard ratios (HR) for MFS and OS were estimated using Cox regression, stratified by year of randomization and adjusted for age at randomization and ECOG performance status. 5-year MFS and OS rates were estimated using the Kaplan-Meier method. Subgroup analyses were performed according to the severity of disease (high- and very high-risk), and p-values for interaction were tested using the likelihood ratio test. Results: 1690 pts treated on 4 RCTs (GETUG-12, DFCI 05-043, STAMPEDE, RTOG-0521) between 2002-2015 were eligible. Median age was 65, median PSA was 23 (IQR 10-48); 154 (9%) pts had cN1 disease and 1444 (85%) received long-term ADT with RT. Median follow-up was 10 years (range: <1-15). Overall, the addition of docetaxel to RT+ADT was not associated with a significant benefit in MFS (HR=0.89 [0.76-1.05], p=0.160) or OS (HR=0.88 [0.74-1.05], p=0.167). Though there was some evidence for favoring docetaxel in pts with very high-risk disease (n=1054; MFS HR=0.86 [0.71-1.05]; OS HR=0.85 [0.68-1.07]) compared to high-risk disease (n=636; MFS HR=0.97 [0.74-1.27]; OS HR=0.95 [0.71-1.28]), there was no evidence of a significant difference in treatment effect by risk group (p-interaction >0.1). 5- and 10-yr MFS and OS in pts with high- and very high-risk disease, stratified by receipt of docetaxel, are shown in the Table. Conclusions: Some HRLPC pts with very high-risk disease may benefit from the addition of docetaxel to RT+ADT. Biomarker evaluation within this group may identify those who are candidates for treatment intensification with docetaxel with RT+ADT (+/- androgen receptor pathway inhibitors) in HRLPC. % (95% CI) High risk Very high-risk RT+ADT RT+ADT+docetaxel RT+ADT RT+ADT+docetaxel 5yr MFS 87 (82-90) 90 (86-93) 74 (71-78) 80 (76-83) 5yr OS 90 (86-93) 93 (90-96) 84 (80-86) 89 (86-92) 10yr MFS 67 (61-72) 71 (65-76) 51 (46-55) 55 (49-60) 10yr OS 74 (69-79) 77 (72-82) 62 (57-67) 67 (62-72)

PURPOSE Long-term androgen deprivation therapy (ADT) improves survival in men with high-risk localized prostate cancer (PCa) receiving radiotherapy (RT). Predictive biomarkers are needed to guide ADT duration. METHODS A multimodal artificial intelligence (MMAI)–derived predictive biomarker was trained for long-term (LT) versus short-term (ST) ADT using pretreatment digital prostate biopsy images and clinical data (age, prostate-specific antigen, Gleason, and T stage) from six NRG Oncology phase III randomized radiotherapy trials. The novel MMAI-derived biomarker was developed to predict the differential benefit of LT-ADT on the primary end point, distant metastasis (DM). MMAI predictive utility was validated on a seventh randomized trial, RTOG 9202 (N = 1,192), which randomly assigned men to RT + ST-ADT (4 months) versus RT + LT-ADT (28 months). Fine-Gray and cumulative incidence analyses for DM, and secondarily, death with DM, were performed. Deaths without DM were treated as competing risks. RESULTS In the validation cohort (median follow-up, 17.2 years), LT-ADT significantly improved DM from 26% to 17% (subdistribution hazard ratio [sHR], 0.64 [95% CI, 0.50 to 0.82], P < .001). A significant biomarker-treatment predictive interaction was observed ( P = .04) for DM, whereby MMAI biomarker–positive men (n = 785, 66%) had reduced DM with LT-ADT versus ST-ADT (sHR, 0.55 [95% CI, 0.41 to 0.73], P < .001), whereas no treatment benefit was observed for MMAI biomarker–negative men (n = 407; sHR, 1.06 [95% CI, 0.61 to 1.84], P = .84). The estimated 15-year DM risk difference between RT + LT-ADT and RT + ST-ADT was 14% in MMAI biomarker–positive men and 0% in MMAI biomarker–negative men. The MMAI biomarker was also prognostic for DM, irrespective of treatment (sHR, 2.35 [95% CI, 1.72 to 3.19], P < .001). CONCLUSION To our knowledge, the MMAI model is the first validated predictive biomarker to guide ADT duration with RT in localized/locally advanced PCa. Approximately one third of men with high-risk PCa could safely be spared the additional 24 months of ADT and the associated morbidity.

309 Background: Standard of care (SOC) treatment options for HR-PCa include RT with long-term androgen deprivation (LT-ADT) or RP with selective use of post-operative RT +/- androgen deprivation therapy (ADT). The optimal treatment approach has been assessed in retrospective population-based and multi-center comparisons, which have yielded mixed results with substantial bias. Therefore, we conducted an emulated randomized comparison of RT vs RP in HR-PCa leveraging patients enrolled in RCTs. Methods: We searched Medline for RCTs in HR-PCa with a SOC arm of an RT- or RP-based regimen. Inclusion required similar experimental treatment and contemporaneous enrollment in the same country to reduce bias. This identified 2 trials, NRG/RTOG 0521 (RT+LT-ADT +/- 6 cycles docetaxel [doce]), and CALGB 90203 (RP +/- neoadjuvant 6 cycles doce and ADT). Due to inherent difference in the biochemical recurrence criteria after RT vs RP, we chose inverse probability of treatment weighted (IPTW) cumulative incidence of distant metastasis (DM) as the primary endpoint, considering deaths as competing events. Death after DM was measured to create a harmonized metric of deaths likely attributed to PCa. To assess potential residual selection bias, death without DM to capture non-cancer associated deaths was analyzed. Results: Overall, 1290 patients (RT n=557, RP n=733) were included, with similar median follow-up of 6.4 years. Prior to IPTW, RP patients were significantly younger with lower baseline PSA compared to RT patients. Adjuvant (18%) and salvage therapy (44%) was used in RP cohort. Cumulative incidence of DM was significantly lower in patients who underwent RT compared to RP (8-year DM: 16% vs 23%; p=0.01; subdistribution hazard ratio [sHR] 0.48 [95%CI 0.34-0.69], p<0.001). 8-year rates of death after DM were 10% vs 8% (p=0.72) in the RP and RT patients, respectively. RT patients had significantly greater risk of death without DM (HR 2.09 [1.01-4.34], p=0.048) with early differences measured. On a cross-arm comparison, 8-year cumulative incidence of DM when comparing SOC RT+LT-ADT group versus the doce+ADT+RP group was 18% vs 21%, respectively (sHR 0.75 [0.45-1.24], p=0.26). Conclusions: HR-PCa patients enrolled on RCTs had significantly lower incidence of DM with an RT-based strategy compared to an RP-based approach. Longer follow-up is needed to assess deaths attributed to PCa. Despite the strengths of the comparison (use of cooperative group RCT data, contemporaneous enrollment in the same country, patients fit enough for chemotherapy, and IPTW adjustments) there appears to be residual unmeasured bias, as expected, based on greater early deaths without DM in the RT arm. Utilization of post-operative radiotherapy and ADT+Doce may mitigate differences between RP and SOC RT+LT-ADT.

Clinical trials frequently include multiple end points that mature at different times. The initial report, typically based on the primary end point, may be published when key planned co-primary or secondary analyses are not yet available. Clinical Trial Updates provide an opportunity to disseminate additional results from studies, published in JCO or elsewhere, for which the primary end point has already been reported. NRG Oncology RTOG 0415 is a randomized phase III noninferiority (NI) clinical trial comparing conventional fractionation (73.8 Gy in 41 fractions) radiotherapy (C-RT) with hypofractionation (H-RT; 70 Gy in 28) in patients with low-risk prostate cancer. The study included 1,092 protocol-eligible patients initially reported in 2016 with a median follow-up of 5.8 years. Updated results with median follow-up of 12.8 years are now presented. The estimated 12-year disease-free survival (DFS) is 56.1% (95% CI, 51.5 to 60.5) for C-RT and 61.8% (95% CI, 57.2 to 66.0) for H-RT. The DFS hazard ratio (H-RT/C-RT) is 0.85 (95% CI, 0.71 to 1.03), confirming NI ( P < .001). Twelve-year cumulative incidence of biochemical failure (BF) was 17.0% (95% CI, 13.8 to 20.5) for C-RT and 9.9% (95% CI, 7.5 to 12.6) for H-RT. The HR (H-RT/C-RT) comparing biochemical recurrence between the two arms was 0.55 (95% CI, 0.39 to 0.78). Late grade ≥3 GI adverse event (AE) incidence is 3.2% (C-RT) versus 4.4% (H-RT), with relative risk (RR) for H-RT versus C-RT 1.39 (95% CI, 0.75 to 2.55). Late grade ≥3 genitourinary (GU) AE incidence is 3.4% (C-RT) versus 4.2% (H-RT), RR 1.26 (95% CI, 0.69 to 2.30). Long-term DFS is noninferior with H-RT compared with C-RT. BF is less with H-RT. No significant differences in late grade ≥3 GI/GU AEs were observed between assignments (ClinicalTrials.gov identifier: NCT00331773 ).

320 Background: sRT is used in men with prostate cancer (PC) recurrence following radical prostatectomy (RP) signaled by a persistent or delayed elevation in PSA. It was previously reported that the use of AAT with RT improved cancer control and overall survival (OS). Long-term follow-up (FU) results are presented here. Methods: From 1998to 2003, 760 eligible post-RP patients with Stage pT3N0 or with pT2N0 and positive margins and PSA from 0.2 to 4.0 ng/mL were randomly assigned on a double-blinded, placebo-controlled trial of RT + placebo vs. RT + anti-androgen therapy (AAT) (24 months of bicalutamide, 150mg daily) during and after RT (64.8 Gy in 36 fractions prostate bed). The primary endpoint was OS estimated using Kaplan-Meier method. Time to PC death and metastatic PC (competing risk of death without an event) was estimated using cumulative incidence. The hazard ratio (HR) was obtained using Cox models (OS) and subdistribution HRs (sHRs) used the Fine-Gray model (time to PC death and metastatic PC). All tests are one-sided based on study design. Results: Median FU for surviving patients was 19 years. OS at 18 years was 53% [95% confidence interval (CI): 47-58%] for RT + AAT and 43% [95% CI: 38-48%] for RT + placebo (adjusted HR 0.82 [95% CI: 0.67-1.00], p = 0.025). The 18-year incidence of centrally reviewed PC deaths were 18% [95% CI: 14-22%] RT + AAT and 28% [95% CI: 23-32%] RT + placebo (adjusted sHR = 0.57 [95% CI: 0.42-0.78], p<0.001). The 18-year incidence of metastatic PC was 22% [95% CI: 18-26%] and 31% [95% CI: 26-35%] for AAT and placebo arms respectively with adjusted sHR = 0.59 [95% CI: 0.44-0.80, p<0.001]. Subgroup analyses is shown in the Table. Conclusions: Long term results of 24-month duration AAT during and after sRT are consistent with the primary report with significantly improved long-term OS, reduced incidence of metastatic PC and PC death for RT+AAT. Statistically significant metastatic PC was noted for Gleason score 8-10, study entry PSA>1.5 and margin positive patients and borderline significance was observed in patients with study entry PSA 0.7-1.5. Clinical trial information: NCT00002874 . [Table: see text]

5094 Background: In prior studies, basal vs. luminal differentiation portends differential response to a) androgen suppression (AS) duration for high-risk prostate cancer (PCa) (NRG-GU-TS006) and b) docetaxel chemotherapy (CT) and AS for metastatic hormone-sensitive disease (CHAARTED). In NRG-GU-TS006, basal tumors appeared to benefit the most from longer duration of AS while those with luminal subtype did not whereas, in CHAARTED, luminal subtype had greater benefit from addition of CT. Herein, we examined basal-luminal subtyping to predict differential response to the addition of CT in the setting of high-risk PCa treated with AS and definitive radiotherapy (AS + RT) in NRG/RTOG 0521. Methods: Per pre-specified and approved NCI analysis plan (Navigator #1061), we obtained available NRG biobank biopsy specimens from patients enrolled on the NRG/RTOG 0521 phase III trial, which randomized patients to AS + RT +/- CT. The highest-grade tumors were profiled on clinical-grade whole-transcriptome arrays (Veracyte, San Diego, CA). Basal-luminal subtypes were generated using a 215-gene PCa subtyping classifier (PSC), a second generation PAM50 basal-luminal model. Treatment effects in Luminal Proliferating (LP) and non-LP subtypes were examined with Cox (for overall survival, OS, and metastasis-free survival, MFS) and Fine & Gray (for distant metastasis, DM) multivariable (MVA) models adjusted for age and trial risk stratification, as well as with restricted mean survival times (RMST). Results: Of 183 samples available for analysis (91 from control and 92 from the CT arm), 52 (28%) were classified as LP subtype. Median follow-up for OS was 9.9 years. No significant differences in clinical or pathological variables were observed between LP and non-LP subtypes. In MVA, we did not detect any significant LP subtype-by-CT treatment interaction but observed evidence of non-proportional hazards (Grambsch-Therneau test, p<0.05). In unselected patients, 5- and 10-year RMST difference between the arms was 0.9 (95% CI [-1.5, 3.4], p=0.46) and 5.7 (95% CI [-2.5, 13.9], p=0.17) months of OS. Stratifying by tumor subtype, at 5 years the RMST difference in months was 3.8 (95% CI [0.3, 7.2], p=0.03) for LP and -0.2 ([-3.4, 2.9], p=0.89) for non-LP. The RMST difference in months at 10-years was 13.7 (95% CI [-0.2, 27.5], p=0.053) for LP and 2.5 ([-7.6, 12.5], p=0.63) for non-LP. Conclusions: In pre-treatment biopsy samples from a Phase 3 trial cohort of localized high-risk men, luminal-basal subtyping of tumors demonstrated differential response to docetaxel CT. Similar to results from the CHAARTED trial of metastatic disease, LP tumors may derive greater benefit from addition of CT. Validation of these findings may enable effective earlier use of CT in men with PCa.

PURPOSE The sequencing of androgen-deprivation therapy (ADT) with radiotherapy (RT) may affect outcomes for prostate cancer in an RT-field size-dependent manner. Herein, we investigate the impact of ADT sequencing for men receiving ADT with prostate-only RT (PORT) or whole-pelvis RT (WPRT). MATERIALS AND METHODS Individual patient data from 12 randomized trials that included patients receiving neoadjuvant/concurrent or concurrent/adjuvant short-term ADT (4-6 months) with RT for localized disease were obtained from the Meta-Analysis of Randomized trials in Cancer of the Prostate consortium. Inverse probability of treatment weighting (IPTW) was performed with propensity scores derived from age, initial prostate-specific antigen, Gleason score, T stage, RT dose, and mid-trial enrollment year. Metastasis-free survival (primary end point) and overall survival (OS) were assessed by IPTW-adjusted Cox regression models, analyzed independently for men receiving PORT versus WPRT. IPTW-adjusted Fine and Gray competing risk models were built to evaluate distant metastasis (DM) and prostate cancer–specific mortality. RESULTS Overall, 7,409 patients were included (6,325 neoadjuvant/concurrent and 1,084 concurrent/adjuvant) with a median follow-up of 10.2 years (interquartile range, 7.2-14.9 years). A significant interaction between ADT sequencing and RT field size was observed for all end points ( P interaction < .02 for all) except OS. With PORT (n = 4,355), compared with neoadjuvant/concurrent ADT, concurrent/adjuvant ADT was associated with improved metastasis-free survival (10-year benefit 8.0%, hazard ratio [HR], 0.65; 95% CI, 0.54 to 0.79; P < .0001), DM (subdistribution HR, 0.52; 95% CI, 0.33 to 0.82; P = .0046), prostate cancer–specific mortality (subdistribution HR, 0.30; 95% CI, 0.16 to 0.54; P < .0001), and OS (HR, 0.69; 95% CI, 0.57 to 0.83; P = .0001). However, in patients receiving WPRT (n = 3,049), no significant difference in any end point was observed in regard to ADT sequencing except for worse DM (HR, 1.57; 95% CI, 1.20 to 2.05; P = .0009) with concurrent/adjuvant ADT. CONCLUSION ADT sequencing exhibits a significant impact on clinical outcomes with a significant interaction with field size. Concurrent/adjuvant ADT should be the standard of care where short-term ADT is indicated in combination with PORT.

PURPOSE To compare the predictive ability of mapping algorithms derived using cross-sectional and longitudinal data. METHODS This methodological assessment used data from a randomized controlled noninferiority trial of patients with low-risk prostate cancer, conducted by NRG Oncology (ClinicalTrials.gov identifier: NCT00331773 ), which examined the efficacy of conventional schedule versus hypofractionated radiation therapy (three-dimensional conformal external beam radiation therapy/IMRT). Health-related quality-of-life data were collected using the Expanded Prostate Cancer Index Composite (EPIC), and health utilities were obtained using EuroQOL-5D-3L (EQ-5D) at baseline and 6, 12, 24, and 60 months postintervention. Mapping algorithms were estimated using ordinary least squares regression models through five-fold cross-validation in baseline cross-sectional data and combined longitudinal data from all assessment periods; random effects specifications were also estimated in longitudinal data. Predictive performance was compared using root mean square error. Longitudinal predictive ability of models obtained using baseline data was examined using mean absolute differences in the reported and predicted utilities. RESULTS A total of 267 (and 199) patients in the estimation sample had complete EQ-5D and EPIC domain (and subdomain) data at baseline and at all subsequent assessments. Ordinary least squares models using combined data showed better predictive ability (lowest root mean square error) in the validation phase for algorithms with EPIC domain/subdomain data alone, whereas models using baseline data outperformed other specifications in the validation phase when patient covariates were also modeled. The mean absolute differences were lower for models using EPIC subdomain data compared with EPIC domain data and generally decreased as the time of assessment increased. CONCLUSION Overall, mapping algorithms obtained using baseline cross-sectional data showed the best predictive performance. Furthermore, these models demonstrated satisfactory longitudinal predictive ability.