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Background/Objectives: The PRO-CTCAE Average Composite Score (ACS), calculated as the mean of PRO-CTCAE composite scores, summarizes overall symptom and side effect burden. This study evaluated the test–retest reliability, responsiveness to change, known-groups validity, and sensitivity to group differences in the ACS. Methods: Analyses used the original PRO-CTCAE validation dataset, including lung (n = 174), breast (n = 222), and head and neck (n = 139) cancer cohorts, and data from the COMET-2 randomized phase III trial comparing cabozantinib (n = 53) and mitoxantrone–prednisone (n = 54) in men with previously treated prostate cancer. Test–retest reliability was assessed using intraclass correlation coefficients (ICCs) from two-way mixed-effects models for agreement. Responsiveness was evaluated by relating ACS change scores (Visit 1 minus follow-up Visit 2) to patient-reported global ratings of change (GRC; worsened, unchanged, or improved) using standardized response means (SRMs) and Jonckheere–Terpstra trend tests. Known-groups validity was examined by comparing mean ACS values between ECOG performance status groups (0–1 vs. 2–4). Sensitivity to treatment group differences was assessed using model-based area-under-the-curve (AUC) comparisons of longitudinal ACS trajectories. Results: Test–retest reliability was acceptable, with ICCs among GRC-defined stable patients of 0.80 (95% CI: 0.70–0.87) in lung cancer, 0.84 (95% CI: 0.77–0.89) in breast cancer, and 0.77 (95% CI: 0.63–0.86) in head and neck cancer; ICCs based on assessments completed one day apart ranged from 0.88 to 0.90. The ACS demonstrated responsiveness, with SRMs of 0.30/0.15/−0.37 (lung), 0.29/0.14/−0.40 (breast), and −0.01/−0.20/−0.56 (head/neck) for improved/no-change/worsened groups, respectively, and significant monotonic trends across GRC categories (all p < 0.01). Known-groups validity was supported by conceptually expected differences in ACS values across distinct levels of self-reported patient-reported physical functioning and ECOG performance status categories. Mean ACS values were lower among patients with good versus limited physical functioning (0.71 vs. 1.23 in lung cancer, 0.52 vs. 1.19 in breast cancer, and 0.69 vs. 1.29 in head and neck cancer) and among patients with ECOG PS 0–1 versus 2–4 (0.93 vs. 1.31, 0.74 vs. 1.22, and 0.90 vs. 1.06, respectively). In COMET-2, higher symptom burden was detected in the cabozantinib arm compared with the mitoxantrone–prednisone arm (AUC difference = 1.5, 95% CI: 0.2–2.8, p = 0.02). Conclusions: The ACS demonstrated acceptable test–retest reliability, responsiveness, and known-groups validity across multiple cancer populations. These findings support its use as a complementary summary measure of overall symptomatic adverse event burden alongside individual symptom-level analyses.

Abstract Background This secondary analysis of a phase I clinical trial illustrates integrated summary and visualization of Common Terminology Criteria for Adverse Events (CTCAE) data and Patient-Reported Outcomes version of the CTCAE (PRO-CTCAE) data at baseline and through the first cycle of treatment for tolerability review during dose-cohort evaluation in a phase I trial. Methods This study uses data from a phase I clinical trial of patients with relapsed or refractory acute myeloid leukemia. Through iterative feedback from clinicians and statisticians, we developed a summary of cycle 1 PRO-CTCAE and CTCAE data for the first dose-level cohort. This summary is intended to demonstrate reporting that would be reviewed to inform a decision about proceeding to the next dose level in a dose escalation trial. Results Cycle 1 CTCAE and PRO-CTCAE data for 4 patients enrolled in the first dose cohort are summarized as narrative and tabular summaries and visualized using swimmer and butterfly plots. In this cohort, 3/4 (75%) patients had at least one CTCAE grade 3 or higher adverse event, and all 4 (100%) patients had at least one PRO-CTCAE composite score of 3 during cycle 1. All 4 (100%) patients had at least one symptom for which PRO-CTCAE suggested greater symptom burden than was reflected in CTCAE. Conclusions In this illustrative summary of a dose cohort, PRO-CTCAE complemented CTCAE reporting by capturing patient-reported symptomatic burden that was not always fully reflected by clinician-graded adverse events. Reviewing PRO-CTCAE and CTCAE data together during dose-cohort evaluation may enrich discussions on safety and tolerability in phase I trials.

TPS1679 Background: Cancer care in the United States remains highly centralized, imposing substantial time, caregiver, and financial burdens on patients, particularly those residing in rural and medically underserved regions. While international experience supports the feasibility of home-based cancer therapy delivery, prospective U.S. clinical trial data are limited. The Cancer CARE Beyond Walls (CCBW) program was developed to address these gaps through a decentralized cancer care model integrating virtual oversight, remote monitoring, mobile clinical services, and community-based nursing partners. The study evaluates the feasibility, safety, and patient-centered impact of delivering cancer-directed therapy in patients’ homes or near-home mobile units in the Florida Panhandle, a region characterized by long travel distances to tertiary centers and limited oncology infrastructure. Methods: This is a phase 2, single-arm clinical trial evaluating the delivery of standard-of-care cancer-directed therapy outside of traditional infusion centers. Eligible adult patients (ECOG 0–3) with histologically confirmed malignancies receiving guideline-supported or FDA-approved systemic cancer therapy must demonstrate tolerability of at least one prior in-clinic treatment cycle. Following registration, patients transition to home-based or near-home mobile unit administration for a minimum of 12 weeks, with an option to continue up to 24 weeks. Care delivery is coordinated through a virtual command center providing real-time virtual oversight, remote monitoring, and escalation pathways. Treatment administration is performed by trained local home health nurses, medication shipping, and digital interaction with the electronic health record. A fully equipped mobile unit extends access to rural areas not covered by home health agencies. The primary endpoint is patient preference for treatment location at week 12. Secondary endpoints include safety, avoidable acute care utilization, patient-reported function and global health/quality of life, patient-reported symptoms, and satisfaction with care. Exploratory endpoints assess travel burden, patient perceptions of caregiver experience, and patient perceptions of home versus mobile unit care. Enrollment of 27 patients will provide 80% power to reject a 50% null rate (2-sided exact test, α=0.10), assuming 75% prefer decentralized care or express no preference. This investigator-initiated trial is open to accrual and is supported by a grant from the Florida Cancer Innovation Fund. Clinical trial information: NCT07285044 .

e13611 Background: Decentralized cancer care models may reduce treatment burden for patients with advanced prostate cancer (CaP), particularly those facing mobility, transportation, of scheduling challenges. However, prospective patient-reported experience and quality-of-life data comparing home- versus clinic-based oncology care remain limited. Mayo Clinic Cancer CARE Beyond Walls (CCBW) is a patient-centered program designed to deliver selected standard-of-care cancer therapies in the home with virtual clinical oversight. This observational study evaluated patient-reported experience, feasibility, safety, and quality of life among men with advanced or metastatic CaP receiving care at home. Methods: Men with advanced/metastatic CaP receiving active standard-of-care therapy including hormone-based treatments, oral anticancer therapies, anti-bone resorptive agents, or intravenous chemotherapy who were participating in a CCBW randomized trial were enrolled into a companion observational study. After confirmation of treatment tolerance in clinic, patients received home-based care for 24 weeks (Arm A) or in-clinic care for 8 weeks followed by home-based care for 16 weeks (Arm B). Patient-reported outcomes were collected at baseline and Weeks 8, 16, and 24, using CAHPS-based measures and CCBW-specific surveys assessing overall cancer care experience, patient preference for site of care, comfort with home infusions, functional/symptom assessment and quality of life. Descriptive analyses were performed. Results: Eighteen participants were analyzed (Arm A n = 10; Arm B n = 8). Participants were medically stable, and predominantly insured by Medicare. Survey completion was 100% at baseline and 83% at all follow-up time points. At Weeks 16 and 24 when all respondents had received home-based care, 100% and 92% reported being “quite a bit” or “very much” comfortable receiving treatment at home. Communication with at-home and remote nursing teams was rated highly, and most respondents reported transition, scheduling, and equipment use easy or very easy. At Weeks 16 and 24, 45% and 40% of respondents reported improved quality of life from receiving home-based care, with no reports of worsening. No emergency department visits, hospitalizations, or urgent care visits occurred in either arm. Conclusions: In this prospective, observational study, home-based oncology care delivered through CCBW was feasible, safe, and associated with high patient satisfaction among men with advanced CaP receiving diverse systemic therapies. These findings support further evaluation and expansion of decentralized care integrating home-based treatment with virtual clinical oversight.

5004 Background: Patients (pts) with metastatic hormone-sensitive prostate cancer (mHSPC) treated continuously with testosterone suppression (TS) plus an androgen receptor pathway inhibitor (ARPI) can experience cumulative toxicity. We conducted this single-arm phase 2 trial (NCT05241860) to test the hypothesis that pts who achieve favorable response to TS + ARPI can have prolonged treatment-free interval with testosterone recovery after treatment interruption (TI). Here we report on the primary endpoint. Methods: Eligible pts had mHSPC by conventional imaging with prostate-specific antigen (PSA) ≥ 5 ng/ml and testosterone ≥ 150 ng/dl prior to starting TS+ARPI, with PSA < 0.2 ng/ml and testosterone < 50 ng/dl at the time of enrollment after having received TS for 540-750 days and ARPI for ≥ 360 days. Prior local therapy, radiation to metastases and docetaxel were permitted. After enrollment, pts discontinued TS and ARPI and were followed with PSA and testosterone levels every 3 months (mo), CT/MRI and bone scan at least every 6 mo, and FACT-P questionnaire for patient-reported outcomes (PROs) every 6 mo. Treatment was resumed for PSA ≥ 5 ng/ml, radiographic change (progressive disease [PD] per RECIST 1.1 on CT/MRI or unconfirmed PD per PCWG3 on bone scan), or prostate cancer-related symptoms. The primary endpoint was proportion of men remaining treatment-free 18 mo after TI with eugonadal testosterone ( > 150 ng/dl). Target enrollment was 75 pts to differentiate 18-mo treatment-free rates of 0.30 (H 0 ) and 0.45 (H a ). Results: Of 79 pts enrolled between 07/2022 and 03/2024, 78 were eligible and underwent TI. Among these 78, median PSA prior to starting TS+ARPI was 19 (range 5-6759), 27 (35%) had high volume disease, 31 (40%) never received local therapy, and 55 (71%) did not receive radiation to metastases. By 18 mo after TI, 67% (52/78) recovered testosterone and 58% (45/78) remained treatment-free; 41% (32/78) remained treatment-free with testosterone recovery (80% CI 33.5-48.9%, one-sided p 0.0249). At median follow-up of 21.2 mo, 35% (27/78) resumed initial TS+ARPI after meeting re-initiation criteria (of whom 1 required treatment switch for PD 9 mo later); 5% (4/78) resumed prior to meeting criteria; 9% (7/78) pursued alternative therapy instead of resuming TS+ARPI per protocol; 5% (4/78) withdrew; 1 died of myocardial infarction prior to resuming treatment. 4 pts died, 1 of prostate cancer. Conclusions: The primary objective was achieved with 41% of favorable responders to TS+ARPI remaining treatment-free with testosterone recovery at 18 mo after TI. Analyses of biomarkers and PROs are in progress, and pts will be followed for long-term outcomes. Support: U10CA180821, U10CA180882, UG1CA189823, https://acknowledgments.alliancefound.org, Veracyte Inc. Clinical trial information: NCT05241860 .

PURPOSE Remote symptom monitoring using patient-reported outcomes (PROs) has been shown to improve symptom control and physical function among patients with advanced cancer. However, it is unclear whether these benefits are similar across demographic groups. This exploratory analysis of the PRO-TECT trial examined whether the effects of electronic symptom monitoring varied by race, age, sex, and educational attainment. METHODS PRO-TECT was a cluster randomized trial conducted across 52 US community oncology practices comparing weekly electronic symptom monitoring with usual care (UC). Adult patients with metastatic solid tumors receiving systemic therapy were enrolled (N = 1,191). Participants in the PRO arm completed weekly symptom surveys including the PRO-CTCAE, triggering alerts to the care team for severe or worsening symptoms. Patients chose whether to complete weekly PROs online or via telephone-based interactive voice response not requiring Internet access. Outcomes were measured using the European Organisation for Research and Treatment of Cancer QLQ-C30 symptom control and physical function scales. Subgroup analyses were performed by race (Black v White), age (<65 v ≥65 years), sex (male v female), and educational attainment (≤high school v >high school). RESULTS From baseline to 3 months, PRO participants showed greater improvements in symptom control (+2.37 v −0.20, P = .002) and physical function (+1.54 v −0.93, P = .02) versus UC. Benefits were most pronounced among younger, female, Black, and less educated participants. Black participants in the PRO arm were more likely to report that symptom reporting made them feel more in control of their care compared with White participants. CONCLUSION Electronic symptom monitoring improved quality-of-life outcomes overall, including among groups who have historically experienced higher symptom burden or barriers to communication. Remote PRO systems may represent an equitable strategy to enhance cancer care delivery.

PURPOSE Hot flashes are a common side effect reported by men receiving androgen-deprivation therapy (ADT) for the treatment of prostate cancer. We sought to determine whether oxybutynin could improve hot flash symptoms in men with prostate cancer. PATIENTS AND METHODS Patients with prostate cancer receiving a stable regimen of ADT with at least 28 hot flashes per week were randomly assigned to receive either oxybutynin 2.5 mg twice daily, oxybutynin 5 mg twice daily, or matching placebo for 6 weeks. The primary end point was the change in patient-reported hot flash scores since baseline at 6 weeks. Additional outcomes included incidence of adverse events (AEs), changes since baseline in Hot Flash–Related Daily Interference Scale (HFRDIS) scores, and patient-reported symptoms. RESULTS Eighty-eight patients were enrolled, with the 81 participants eligible for final analysis reporting an average of 10.1 (standard deviation [SD], 5.55) hot flashes per day and an average daily hot flash score of 18.2 (SD, 13.5) included in final analysis. On average, patients on the placebo arm, 2.5 mg oxybutynin arm, and 5 mg oxybutynin arm had reductions in hot flashes/day of 2.15, 4.77 ( P = .02), and 6.89 ( P < .001), respectively. Daily hot flash scores for placebo, 2.5 mg oxybutynin, and 5 mg oxybutynin reduced by an average of 4.85, 9.94 ( P = .07), and 13.95 ( P = .002) points, respectively. No treatment-related grade 3+ AEs occurred. HFRDIS total scores improved by 14.2 and 20.7 points in the 2.5 mg ( P = .042) and 5 mg ( P < .01) oxybutynin arms, respectively, compared with a 3.1-point improvement with placebo. CONCLUSION Oxybutynin is superior to a placebo for the management of ADT-associated hot flashes in men with prostate cancer.

Background: The PRO-CTCAE provides patient-reported data on symptomatic AEs. A summary metric—the ACS—reflecting total AE burden can be calculated by averaging AE-level composite scores at a given timepoint for each participant. This study investigated the psychometric properties and interpretability of this PRO-CTCAE ACS in patients with breast, lung, or head/neck cancers. Methods: We conducted a secondary analysis of a PRO-CTCAE validation dataset comprising 940 adults undergoing chemotherapy or radiation therapy (clinicaltrials.gov: NCT02158637). We focused on empirically recommended symptom terms for three cancer sites. Analyses included Spearman’s correlations, coefficient alpha, and eigenvalues from the correlation matrices, confirmatory factor analysis (CFA), and principal component analysis (PCA). Latent profile analysis (LPA) was used to assess ACS interpretability in the lung cohort. Results: Mean composite score inter-correlations were moderate (0.30–0.35), and coefficient alphas were high (0.81–0.91). Eigenvalue ratios and CFA supported retention of a single factor/component, with suitable model fit indices. ACS correlated highly with factor scores and the first principal component from the PCA. Reduced sets of terms produced reliable scores that closely approximated the full set scores and aligned with external criteria. LPA in the lung subgroup identified four latent classes; ACS differentiated high vs. low symptom burden groups but did not distinguish the two groups expressing distinct symptom profiles. Conclusion: The ACS demonstrated structural validity through adequately fitting linear factor models and effectively summarized symptomatic AE burden. However, similar ACS values may mask clinically distinct symptomatic AE profiles, underscoring the value of both summary metrics and profile-based approaches.

Abstract The Patient‐Reported Outcomes version of the Common Terminology Criteria for Adverse Events (PRO‐CTCAE) was developed by the US National Cancer Institute to allow patients to directly report their side effects, enhancing the accuracy and patient‐centeredness of cancer clinical trial adverse event reporting. Clinician‐based reporting often misses the full range of patient symptoms, resulting in underreporting of side effects. The selection of adverse events for patient reporting must be defined in advance and consistently applied across all study arms. Investigators can use core symptom sets, including diarrhea, fatigue, and nausea, alongside tailored items specific to the treatments being studied. PRO‐CTCAE has demonstrated similar scores across electronic, paper‐based, and automated telephone administration methods. PRO‐CTCAE administration typically occurs before start of treatment and regularly throughout treatment, with the administration frequency tailored to the expected trajectory of side effects. Ensuring high survey completion rates is essential for PRO‐CTCAE success. Standard reporting can include tabular reporting of the proportion of patients with any (score ≥1) and high (score ≥3) levels of symptoms at the individual item level. A baseline‐adjustment approach should be applied to account for symptoms before start of treatment to isolate treatment‐emergent adverse events. The distribution of PRO‐CTCAE scores at each time point can be visualized using stacked bar charts. PRO‐CTCAE integration into cancer clinical trials is crucial for capturing a comprehensive range of treatment‐related symptomatic adverse events and improving the evaluation of therapy tolerability. Ongoing research continues to refine its implementation, supported by regulatory guidance.