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1458 Is Disease Response a Patient-Centered Clinical Trial Endpoint in Acute Myeloid Leukemia: Differences in Symptom Burden and Physical Function By Response Status in the Beat-AML Master Trial

Program: Oral and Poster Abstracts
Session: 616. Acute Myeloid Leukemias: Investigational Therapies, Excluding Transplantation and Cellular Immunotherapies: Poster I
Hematology Disease Topics & Pathways:
Research, clinical trials, Acute Myeloid Malignancies, AML, Clinical Research, patient-reported outcomes, Diseases, Myeloid Malignancies
Saturday, December 10, 2022, 5:30 PM-7:30 PM

Antonia V. Bennett, PhD1*, Xianming Tan, PhD2*, Matthew C. Foster, MD3*, Daniel R. Richardson, MD, MSc, MA4, Ashley L. Bryant, PhD, RN, OCN, FAAN5, William A. Wood, MD, MPH6, Ashley O. Yocum, PhD7*, Alice S. Mims, MD8, Uma Borate, MD9 and Amy Burd, PhD10

1Department of Health Policy and Management, University of North Carolina, Chapel Hill, NC
2Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC
3Division of Hematology/Oncology, Department of Medicine, University of North Carolina, Chapel Hill, NC
4Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC
5School of Nursing, University of North Carolina at Chapel Hill, Chapel Hill, NC
6Division of Hematology/Oncology, Department of Medicine, University of North Carolina, Chapel Hill, NC
7The Leukemia & Lymphoma Society, Rye Brook, NY
8Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH
9Division of Hematology, The Ohio State University, Columbus, OH
10The Leukemia & Lymphoma Society, White Plains, NY

Objective: To inform regulatory decision making about trial design and drug approval, we examined whether disease response status is a patient-centered endpoint in therapeutic trials for acute myeloid leukemia (AML). Specifically, we estimated the association of response status with patient-reported symptoms and physical function in the Beat-AML Master Trial.

Methods: The Beat-AML Master Trial (NCT03013998) is composed of a genomic screening protocol and multiple sub-studies of biomarker-based treatments for sub-types of acute myeloid leukemia. The patient-reported outcome (PRO) assessment occurred at baseline and at specified study visits about once per cycle depending on treatment phase. The PRO assessment included the MD Anderson Symptom Inventory (MDASI) AML/MDS symptom scale (17 items), additional symptom items from the MDASI library relevant to Beat-AML therapies (10 items), and the PROMIS® Physical Function short form (6 items). The two symptom scale scores range from 0-10 where higher scores indicate greater symptom burden; the physical function scale score ranges from 0-100 where higher scores indicate better physical function. Disease response was assessed according to 2017 ELN AML Recommendations, including: complete remission (CR), complete remission without minimal residual disease (CRMRD-), complete remission with hematologic improvement (CRh), complete remission with incomplete blood count recovery (CRi), morphological leukemia free state (MLFS), partial remission (PR), stable disease, progressive disease, recurrence/relapse, and treatment failure. For this analysis, response status was identified for each PRO assessment timepoint. Linear mixed effects models estimated the differences in PRO scores between each response status and CR. The analytic sample was composed of individuals who completed the baseline PRO assessment and at least one PRO assessment post baseline. The minimally important difference (MID) for the PROMIS Physical Function scale is 4 points (Yost, J Clin Epi 2012). The symptom scales do not have established MID, so coefficients were compared to a small effect size (0.20) per Cohen’s d.

Results: The analytic sample included 240 patients from 11 Beat-AML sub-studies; the median age was 73 years (range: 42-90) and 42.5% were female. Median follow-up time with PRO assessments was 18.4 months. The survey response rate was 80.7%. The mean (standard deviation) PRO scale scores at baseline were: 2.11 (1.67) AML/MDS symptom scale, 1.54(1.54) additional symptoms, and 36.65(9.62) Physical Function. The proportion of patients achieving each response at any point during protocol treatment was 32.1% CR, 7.5% CRMRD-, 6.7% CRh, 23.3% CRi, 19.6% MLFS, 5.8% PR, 73.3% stable disease, 11.7% progressive disease, 20.0% recurrence/relapse, and 7.5% treatment failure, for an average of 2.4 responses per patient. After controlling for age, gender, treatment (sub-study), time since baseline, and adjusting for drop-out missingness, we found that, compared to CR, symptom burden was greater for MLFS and stable disease (coefficient range 0.33 to 0.66) (see Table 1). Symptom burden per the AML/MDS scale only was also greater for recurrence/relapse (coef. 0.49). Physical function was worse (per MID) for MLFS, stable disease, and progressive disease (coefficient range: -4.42 to -4.76).

Discussion: PRO data from 11 sub-studies of the Beat AML Master Trial indicate key differences and similarities between disease response statuses in terms of symptom burden and physical function. MLFS was the only type of response that differed from CR with respect to symptom burden and physical function. Stable disease and recurrence/relapse were associated with greater symptom burden than CR, but progressive disease was not, however it was associated with worse physical function. Findings regarding treatment failure may be limited by small sample and wide range of health within that status. Sensitivity analyses will include removing rare symptoms from the symptom scales, which may increase model coefficients. Subsequent analysis will examine the association of the patient’s best response status with long term physical function.

Conclusion: Further research is warranted to establish the response statuses of CRMRD-, CRh, CRi, and partial remission as clinical trial endpoints that are valuable to patients with respect to health-related quality of life.

Disclosures: Foster: Daiichi Sankyo: Consultancy; Macrogenics: Consultancy, Research Funding; Bellicum Pharmaceuticals: Research Funding. Bryant: Carevive Systems, Inc: Research Funding. Wood: Genentech: Research Funding; Pfizer: Research Funding; Teladoc: Consultancy; Koneksa Health: Current equity holder in private company, Membership on an entity's Board of Directors or advisory committees; Quantum Health: Consultancy. Mims: Zentalis: Membership on an entity's Board of Directors or advisory committees; BMS: Membership on an entity's Board of Directors or advisory committees; Syndax: Membership on an entity's Board of Directors or advisory committees; Ryvu: Membership on an entity's Board of Directors or advisory committees; Jazz Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees, Other: Data Safety and Monitoring Board; Genentech: Membership on an entity's Board of Directors or advisory committees; Daiichi Sankyo: Other: Data Safety and Monitoring Board; Servier: Membership on an entity's Board of Directors or advisory committees; Astellas: Membership on an entity's Board of Directors or advisory committees; AbbVie: Membership on an entity's Board of Directors or advisory committees. Borate: Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees, Research Funding; Pfizer: Research Funding; Genentech: Membership on an entity's Board of Directors or advisory committees, Research Funding; Daiichi Sankyo: Membership on an entity's Board of Directors or advisory committees; AbbVie/Genentech: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Jazz: Consultancy, Research Funding; Incyte: Consultancy, Research Funding; BMS: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Sumitomo Pharma: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding.

*signifies non-member of ASH