Unger, Joseph M

We present a subset analysis on the adolescent cohort of the S1826 randomized phase three trial, comparing nivolumab, doxorubicin, vinblastine, dacarbazine (N-AVD) to brentuximab vedotin-AVD (BV-AVD) in newly diagnosed advanced-stage (AS, stages III and IV) classic Hodgkin lymphoma (cHL). Among 994 patients enrolled, 24% (n = 240) were age 12-17 years. The 3-year progression-free survival (PFS) was significantly higher in the N-AVD group (93% [95% CI, 87 to 96]) compared with the BV-AVD group (82% [95% CI, 73 to 88]; hazard ratio, 0.37 [95% CI, 0.17 to 0.80]). One N-AVD and two BV-AVD patients received protocol-specified residual site radiotherapy (RT). Rates of febrile neutropenia and sepsis were low in both groups. Severe immune-related adverse events were infrequent, although thyroid dysfunction was seen in 7% with N-AVD. Sensory neuropathy (grade ≥2) was more frequent with BV-AVD (14% v 7%) by clinician report. Although premature discontinuation of therapy was reported in 12 N-AVD patients and four BV-AVD patients, no PFS events were noted in the N-AVD group. Patient-reported outcomes indicated less toxicity with N-AVD. N-AVD demonstrated high 3-year PFS in adolescents with AS cHL, with minimal RT use. S1826 exemplifies the benefits of harmonized clinical trial protocols, resulting in timely access to novel agents for adolescents.

Abstract Interpreting cancer clinical trial results often depends on addressing issues of multiplicity. When testing multiple hypotheses, unreliable findings can occur by chance due to the inflation of the type I error rate, the probability of mistakenly rejecting the null hypothesis when the null hypothesis is true. In this setting, researchers may often set the type I error rate (or the alpha level) low to limit false positive findings and the interpretation of a causal relationship where none exists. Conversely, overly conservative type I error control may result in declaring findings, that do not meet multiplicity-adjusted alpha levels, as false when they are actually true, reducing opportunities for new discovery. This presentation focuses on multiplicity adjustment in the context of clinical trials conducted within the NCI’s Community Oncology Research Program (NCORP). Because federally sponsored trials often require long-term participation from patients and represent a substantial investment by taxpayers, striking the right balance between optimizing what is learned from these trials, while avoiding false positive results, should be a priority.

Abstract Background The phase III RxPONDER trial has affected treatment for node-positive (1-3), hormone receptor-positive, HER2-negative breast cancer with a 21-gene recurrence score (RS) less than 26. We investigated how these findings apply to different racial and ethnic groups within the trial. Methods The trial randomly assigned women to endocrine therapy (ET) or to chemotherapy plus ET. The primary clinical outcome was invasive disease-free survival (IDFS), with distant relapse-free survival (DRFS) as a secondary outcome. Multivariable Cox models were used to evaluate the association between race/ethnicity and survival outcomes, adjusting for clinicopathological characteristics, RS, and treatment. Results A total of 4048 women with self-reported race/ethnicity were included: Hispanic (15.1%), non-Hispanic Black (NHB) (6.1%), Native American/Pacific Islander (0.8%), Asian (8.0%), and non-Hispanic White (NHW) (70%). No differences in RS distribution, tumor size, or number of positive nodes were observed by race/ethnicity. Relative to NHWs, IDFS was worse for NHB participants (5-year IDFS 91.6% vs 87.1%, HR = 1.37; 95% CI = 1.03 to 1.81) and better for Asians (91.6% vs 93.9%, HR = 0.64; 95% CI = 0.46 to 0.91). Relative to NHW, DRFS was worse for NHB participants (5-year DRFS 95.8% vs 91.0%, HR = 1.65; 95% CI = 1.17 to 2.32) and better for Asians (95.8% vs 96.7%, HR = 0.59; 95% CI = 0.37 to 0.95). Adjusting for clinical characteristics, particularly body mass index, diminished the effect of race on outcomes. Chemotherapy treatment efficacy did not differ by race/ethnicity. Conclusions NHB women had worse clinical outcomes compared with NHWs in the RxPONDER trial despite similar RS and comparable treatment. Our study emphasizes the persistent racial disparities in breast cancer outcomes while highlighting complex interactions among contributing factors. Trial Registration ClinicalTrials.gov: NCT01272037.

PURPOSE In the United States, the National Cancer Institute National Cancer Clinical Trials Network (NCTN) groups have conducted publicly funded oncology research for 50 years. The combined impact of all adult network group trials has never been systematically examined. METHODS We identified randomized, phase III trials from the adult NCTN groups, reported from 1980 onward, with statistically significant findings for ≥ 1 clinical, time-dependent outcomes. In the subset of trials in which the experimental arm improved overall survival, gains in population life-years were estimated by deriving trial-specific hazard functions and hazard ratios to estimate the experimental treatment benefit and then mapping this trial-level benefit onto the US cancer population using registry and life-table data. Scientific impact was based on citation data from Google Scholar. Federal investment costs per life-year gained were estimated. The results were derived through December 31, 2020. RESULTS One hundred sixty-two trials comprised of 108,334 patients were analyzed, representing 29.8% (162/544) of trials conducted. The most common cancers included breast (34), gynecologic (28), and lung (14). The trials were cited 165,336 times (mean, 62.2 citations/trial/year); 87.7% of trials were cited in cancer care guidelines in favor of the recommended treatment. These studies were estimated to have generated 14.2 million (95% CI, 11.5 to 16.5 million) additional life-years to patients with cancer, with projected gains of 24.1 million (95% CI, 19.7 to 28.2 million) life-years by 2030. The federal investment cost per life-year gained through 2020 was $326 in US dollars. CONCLUSION NCTN randomized trials have been widely cited and are routinely included in clinical guidelines. Moreover, their conduct has predicted substantial improvements in overall survival in the United States for patients with oncologic disease, suggesting they have contributed meaningfully to this nation's health. These findings demonstrate the critical role of government-sponsored research in extending the lives of patients with cancer.

PURPOSE Bone marrow biopsies (BMB) are performed before/after therapy to confirm complete response (CR) in patients with lymphoma on clinical trials. We sought to establish whether BMB add value in assessing response or predict progression-free survival (PFS) or overall survival (OS) outcomes in follicular lymphoma (FL) subjects in a large, multicenter, multitrial cohort. METHODS Data were pooled from seven trials of 580 subjects with previously untreated FL through Alliance for Clinical Trials in Oncology (Alliance) and SWOG Cancer Research Network (SWOG) completing enrollment from 2008 to 2016. RESULTS Only 5/580 (0.9%) had positive baseline BMB, CR on imaging, and subsequent positive BMB ( P < .0001). Therefore, BMB were irrelevant to response in 99% of subjects. A sensitivity analysis of 385 FL subjects treated on an Eastern Cooperative Oncology Group study was included. In the Eastern Cooperative Oncology Group cohort, 5/385 (1.3%) had BMB that affected response assessment. Since some subjects do not undergo confirmatory BMB, we performed a landmark survival analysis from first radiologic CR with data from 580 subjects from Alliance and SWOG. Of subjects with CR on imaging (n = 187), PFS and OS were not significantly different among those with negative BMB to confirm CR (n = 47) versus those without repeat BMB (n = 140; PFS: adjusted hazard ratio, 1.10, 95% CI, 0.62 to 1.94, log-rank P = .686; OS: hazard ratio, 0.59, 95% CI, 0.23 to 1.53, log-rank P = .276). CONCLUSION We conclude that BMB add little value to response assessment in subjects with FL treated on clinical trials and we recommend eliminating BMB from clinical trial requirements. BMB should also be removed from diagnostic guidelines for FL except in scenarios in which it may change management including confirmation of limited stage and assessment of cytopenias. This would reduce cost, patient discomfort, resource utilization, and potentially remove a barrier to trial enrollment.

PURPOSE: Patient-reported outcomes may be associated with cancer outcomes. We evaluated clinically significant fatigue (CSF), overall survival, adverse events (AEs), and quality of life (QOL) during cancer treatment. METHODS: We compared outcomes in four phase II or III chemotherapy trials, two advanced non–small-cell lung cancer and two advanced hormone-refractory prostate cancer, with or without baseline CSF. CSF was defined as a rating of two or greater on the Functional Assessment of Cancer Therapy fatigue question or a European Organization for Research and Treatment of Cancer Quality of Life Questionnaire—Core 30 fatigue symptom score of 50% or greater. Survival was compared according to CSF using Kaplan-Meier estimates and Cox regression models. Differences in AE rates by CSF were assessed via chi-squared tests, and QOL changes from baseline to 3 months via linear regression. RESULTS: Of 1,994 participants, 1,907 (median age 69 years, range: 32-91) had complete baseline QOL survey data, with 52% reporting CSF at baseline. For the two hormone-refractory prostate cancer studies, baseline CSF was associated with higher mortality rates, with adjusted hazard ratios of (95% CI, P value) 1.32 (1.13 to 1.55, P < .001) and 1.31 (1.02 to 1.67, P = .03) and with increased incidence of grade 3-5 constitutional (16.5% v 9.4%, P = .002; 13.9% v 6.3%, P = .002) and neurologic (11.7% v 6.1%, P = .006; 9.0% v 3.9%, P = .01) AEs, respectively. Baseline CSF was associated with a higher mortality rate in one non–small-cell lung cancer study: hazard ratio 1.44 and 1.04 to 2.00, P = .03. CONCLUSION: Oncology trial participants with baseline CSF had poorer survival and experienced more AEs than participants without CSF. This indicates fatigue as an important baseline prognostic factor in oncology treatment trials.