Byrd, John C.

AbstractBackgroundPatients with acute myeloid leukemia (AML) who have tumor protein p53 (TP53) mutations or a complex karyotype have a poor prognosis, and hypomethylating agents are often used. The authors evaluated the efficacy of entospletinib, an oral inhibitor of spleen tyrosine kinase, combined with decitabine in this patient population.MethodsThis was a multicenter, open‐label, phase 2 substudy of the Beat AML Master Trial (ClinicalTrials.gov identifier NCT03013998) using a Simon two‐stage design. Eligible patients aged 60 years or older who had newly diagnosed AML with mutations in TP53 with or without a complex karyotype (cohort A; n = 45) or had a complex karyotype without TP53 mutation (cohort B; n = 13) received entospletinib 400 mg twice daily with decitabine 20 mg/m2 on days 1–10 every 28 days for up to three induction cycles, followed by up to 11 consolidation cycles, in which decitabine was reduced to days 1–5. Entospletinib maintenance was given for up to 2 years. The primary end point was complete remission (CR) and CR with hematologic improvement by up to six cycles of therapy.ResultsThe composite CR rates for cohorts A and B were 13.3% (95% confidence interval, 5.1%–26.8%) and 30.8% (95% confidence interval, 9.1%–61.4%), respectively. The median duration of response was 7.6 and 8.2 months, respectively, and the median overall survival was 6.5 and 11.5 months, respectively. The study was stopped because the futility boundary was crossed in both cohorts.ConclusionsThe combination of entospletinib and decitabine demonstrated activity and was acceptably tolerated in this patient population; however, the CR rates were low, and overall survival was short. Novel treatment strategies for older patients with TP53 mutations and complex karyotype remain an urgent need.

PURPOSE Representativeness in acute leukemia clinical research is essential for achieving health equity. The National Cancer Institute's mandate for Comprehensive Cancer Centers (CCCs) to define and assume responsibility for cancer control and treatment across a geographic catchment area provides an enforceable mechanism to target and potentially remediate participatory inequities. METHODS We examined enrollee characteristics across 15 Cancer and Leukemia Group B/Alliance cooperative group adult acute leukemia clinical trials (N = 3,734) from 1998 to 2013, including participation in optional companion biobanks. We determined enrollment odds by race-ethnicity for all participants adjusted for national incidence, and for those enrolled at CCCs adjusted for catchment area incidence. We modeled biobank participation by sociodemographics using logistic regression. RESULTS Non-Hispanic (NH)-White patients were more likely to be enrolled than NH-Black, NH-Asian, or Hispanic patients (odds ratio [OR], 0.75, 0.48, and 0.44, respectively; all P < .001), but less likely than NH-Native American patients (OR, 1.91; P < .001), adjusted for national incidence. Enrollment odds were lower for NH-Black, NH-Asian, and Hispanic patients at CCCs adjusted for catchment area incidence (OR, 0.57, 0.26, and 0.32, respectively; P < .001); differences were driven by overenrollment of NH-White patients from outside self-defined catchment areas (18.1% v 12.3%; χ2 P = .01) and by CCCs with less absolute enrollee diversity (rank sum P = .03). Among all enrollees, NH-White race-ethnicity and lower neighborhood deprivation correlated with biobank participation (OR, 1.81 and 1.45, respectively; P = .01 and .03). For CCC enrollees, the correlation of race-ethnicity with biobank participation was attenuated by a measure accounting for their site's degree of enrollment disparity but not neighborhood deprivation. CONCLUSION Acute leukemia clinical research disparities are substantial and driven by structural trial enrollment barriers at CCCs. Real-time CCC access and enrollment monitoring is needed to better align research participation with local populations.

Abstract Introduction Race-ethnic disparities in clinical trial enrollment have the potential to bias findings, limit generalizability, misdirect drug development, and reduce equitable access to novel therapy. The degree to which such disparities exist within acute myeloid leukemia (AML) North American cooperative group trials, biobanks, and correlative studies remain unclear, as are the factors that influence biobank and correlative study participation among trial enrollees. In addition, the National Cancer Institute's (NCI) mandate for Comprehensive Cancer Centers (CCC) to designate catchment areas has not been explored as a mechanism through which AML enrollment disparities can be addressed. Methods We analyzed enrollment data from the 9 Alliance/CALGB AML treatment trials, 2 biobank protocols, and 2 correlative studies active from 1998-2013 and with published results. Trial enrollees could consent to biobank and/or correlative study participation. We compared participation rates of United States (US) enrollees for the mutually exclusive racial-ethnic groups of non-Hispanic (NH)-white, NH-Black, NH-Asian, NH-Native American, and Hispanic using X 2 testing, with NH-white as the comparator and reporting odds ratios (OR) and 95% confidence intervals (CI). Rates were adjusted by national incidence according to the Surveillance, Epidemiology, and End Results program and the US Census. Testing was repeated for the 55% of participants enrolled at 15 NCI CCCs recruiting ≥10 patients, where incidence was adjusted for catchment area size and demographics. Logistic regression models, clustered by trial, were performed to assess the following predictors for biobank and correlative study participation among trial enrollees: race-ethnicity (NH-white vs non-white), site type (CCC status), age (10-year increments), sex, neighborhood urbanity (urban vs rural) and poverty (&lt;20% vs ≥20% below poverty line) by zip code, and distance from site (10-mile increments). Results There were 3041 trial enrollees at US sites; participant characteristics and demographics by race-ethnicity are shown in Table 1. 93.9% of patients participated in a biobanking study and 60.0% in a correlative study. National incidence adjusted enrollment odds by race-ethnicity are shown in the Figure (top); NH-Black, NH-Asian, and Hispanic persons were enrolled at significantly lower rates than NH-whites; NH-Native American enrollment was significantly higher. Enrollment odds were even lower for NH-Black, NH-Asian, and Hispanic enrollees at CCC sites when adjusted by catchment area incidence (Figure; bottom). Among trial enrollees, there were no univariable predictors of biobank participation, however, male sex (OR 1.12; 95% CI 1.01, 1.37; p=0.04) and NH-white race-ethnicity (OR 1.33; 95% CI 1.12,1.57; p&lt;0.001) were associated with correlative study participation. Multivariable models of correlative study participation, with predictors selected based on univariable significance, are shown in Table 2 for all trial enrollees and when restricted to biobank enrollees; in both cases, NH-white race predicted participation. Conclusions Across 15 years of AML cooperative group studies, there were several enrollment disparities by race-ethnicity, which were more pronounced at CCC sites. Over 90% of trial enrollees participated in biobanking, with no race-ethnic differences seen. However, correlative study participation among trial enrollees was higher for NH-whites. Taken together, these data suggest that efforts should focus on increasing trial and correlative study participant diversity-but not biobanking-within NCI-designated CCC catchment areas. Reasonable next steps include identifying key structural, provider, and patient-based barriers to trial and correlative study participation at CCC sites and developing inclusive, multilevel interventions to address them. Figure 1 Figure 1. Disclosures Eisfeld: Karyopharm (spouse): Current Employment. Stock: Pfizer: Consultancy, Honoraria, Research Funding; amgen: Honoraria; agios: Honoraria; jazz: Honoraria; kura: Honoraria; kite: Honoraria; morphosys: Honoraria; servier: Honoraria; syndax: Consultancy, Honoraria; Pluristeem: Consultancy, Honoraria. Stone: AbbVie Inc, Actinium Pharmaceuticals Inc, Aprea Therapeutics, BerGenBio ASA, ElevateBio, Foghorn Therapeutics, GEMoaB, GlaxoSmithKline, Innate Pharma, Syndax Pharmaceuticals Inc, Syros Pharmaceuticals Inc, Takeda Oncology: Other: Advisory Committee; Agios Pharmaceuticals Inc, Novartis;: Research Funding; ACI Clinical, Syntrix Pharmaceuticals, Takeda Oncology: Other: Data Safety & Monitoring. DeAngelo: Abbvie: Research Funding; Blueprint: Research Funding; Takeda: Consultancy; Autolus: Consultancy; Forty-Seven: Consultancy; Incyte: Consultancy; Jazz: Consultancy; Novartis: Consultancy, Research Funding; Pfizer: Consultancy; Servier: Consultancy; Amgen: Consultancy; Agios: Consultancy; Glycomimetrics: Research Funding. Byrd: Newave: Membership on an entity's Board of Directors or advisory committees; Vincerx Pharmaceuticals: Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; Novartis, Trillium, Astellas, AstraZeneca, Pharmacyclics, Syndax: Consultancy, Honoraria.