Patient-reported outcomes in ZUMA-7, a phase 3 study of axicabtagene ciloleucel in second-line large B-cell lymphoma

Mahmoud Elsawy, Julio C Chavez, Irit Avivi, Jean-François Larouche, Luciano Wannesson, Kate Cwynarski, Keren Osman, Kelly Davison, Jakob D Rudzki, Saurabh Dahiya, Kathleen Dorritie, Samantha Jaglowski, John Radford, Franck Morschhauser, David Cunningham, Alejandro Martin Garcia-Sancho, Dimitrios Tzachanis, Matthew L Ulrickson, Reem Karmali, Natasha Kekre, Catherine Thieblemont, Gunilla Enblad, Peter Dreger, Ram Malladi, Namita Joshi, Wei-Jhih Wang, Caitlyn T Solem, Julia Thornton Snider, Paul Cheng, Christina To, Marie José Kersten, Mahmoud Elsawy, Julio C Chavez, Irit Avivi, Jean-François Larouche, Luciano Wannesson, Kate Cwynarski, Keren Osman, Kelly Davison, Jakob D Rudzki, Saurabh Dahiya, Kathleen Dorritie, Samantha Jaglowski, John Radford, Franck Morschhauser, David Cunningham, Alejandro Martin Garcia-Sancho, Dimitrios Tzachanis, Matthew L Ulrickson, Reem Karmali, Natasha Kekre, Catherine Thieblemont, Gunilla Enblad, Peter Dreger, Ram Malladi, Namita Joshi, Wei-Jhih Wang, Caitlyn T Solem, Julia Thornton Snider, Paul Cheng, Christina To, Marie José Kersten

Abstract

Here, we report the first comparative analysis of patient-reported outcomes (PROs) with chimeric antigen receptor T-cell therapy vs standard-of-care (SOC) therapy in second-line relapsed/refractory large B-cell lymphoma (R/R LBCL) from the pivotal randomized phase 3 ZUMA-7 study of axicabtagene ciloleucel (axi-cel) vs SOC. PRO instruments were administered at baseline, day 50, day 100, day 150, month 9, and every 3 months from randomization until 24 months or an event-free survival event. The quality of life (QoL) analysis set comprised patients with a baseline and ≥1 follow-up PRO completion. Prespecified hypotheses for Quality of Life Questionnaire-Core 30 (QLQ-C30) physical functioning, global health status/QoL, and EQ-5D-5L visual analog scale (VAS) were tested using mixed-effects models with repeated measures. Clinically meaningful changes were defined as 10 points for QLQ-C30 and 7 for EQ-5D-5L VAS. Among 359 patients, 296 (165 axi-cel, 131 SOC) met inclusion criteria for QoL analysis. At day 100, statistically significant and clinically meaningful differences in mean change of scores from baseline were observed favoring axi-cel over SOC for QLQ-C30 global health status/QoL (estimated difference 18.1 [95% confidence interval (CI), 12.3-23.9]), physical functioning (13.1 [95% CI, 8.0-18.2]), and EQ-5D-5L VAS (13.7 [95% CI, 8.5-18.8]; P < .0001 for all). At day 150, scores significantly favored axi-cel vs SOC for global health status/QoL (9.8 [95% CI, 2.6-17.0]; P = .0124) and EQ-5D-5L VAS (11.3 [95% CI, 5.4-17.1]; P = .0004). Axi-cel showed clinically meaningful improvements in QoL over SOC. Superior clinical outcomes and favorable patient experience with axi-cel should help inform treatment choices in second-line R/R LBCL. This trial was registered at www.clinicaltrials.gov as #NCT03391466.

Conflict of interest statement

Conflict-of-interest disclosure: M.E. reports honoraria from Kite, Bristol Myers Squibb, Novartis, Pfizer, and Janssen and consulting or advisory role with Kite, Bristol Myers Squibb, Novartis, Pfizer, and Janssen. J.C.C. reports consultancy fees for Kite, AbbVie, Janssen, ADC Therapeutics, Karyopharm, Kymera, Genmab, and Novartis; speakers' bureau participation for Morphosys, Epizyme, Bristol Myers Squibb, BeiGene, and AstraZeneca; and research funding from AstraZeneca, Merck, ADC Therapeutics, and Adaptive. I.A. reports speakers’ bureau participation for Kite and Novartis. L.W. reports consultancy or advisory role for Novartis, MSD, Bristol Myers Squibb, AstraZeneca, and Roche; research funding from Roche; and expert testimony from AstraZeneca and Novartis. K.C. reports consultancy or advisory role for Kite, Roche, Takeda, Celgene, Atara, Gilead, Janssen, and Incyte; speakers' bureau for Roche, Takeda, Kite, Gilead, and Incyte; and travel support from Roche, Takeda, Kite, Janssen, and Bristol Myers Squibb/Celgene. K.O. reports consultancy or advisory role for Kite. K. Davison reports consulting or advisory role for Merck, AstraZeneca, Janssen, Novartis, Gilead, AbbVie, and Celgene. J.D.R. reports consultancy or advisory role with Kite, Novartis, Amgen, MSD, Roche, and Bristol Myers Squibb/Celgene; speakers' bureau for Kite, Novartis, and Roche; and research funding from Kite and Novartis. S.D. reports consultancy or advisory role for Kite, Atara Biotherapeutics, and Bristol Myers Squibb and research funding from Jazz Pharmaceuticals and Miltenyi Biotech. K. Dorritie reports research funding from Kite, Juno/Bristol Myers Squibb, Hoffman-LaRoche, Janssen, and Genmab. S.J. reports consultancy or advisory role for Kite, Juno, Novartis, Takeda, and CRISPR Therapeutics and research funding from Kite and Novartis. J.R. reports stock or other ownership in ADC Therapeutics and AstraZeneca; honoraria from Takeda, ADCT, and Bristol Myers Squibb; consultancy or advisory role for Takeda, ADCT, Bristol Myers Squibb, and Novartis; speakers' bureau from Takeda and ADCT; research funding from Takeda; and expert testimony from Takeda and ADCT. F.M. reports consultancy or advisory role for Roche, Bristol Myers Squibb, Gilead, Epizyme, Genmab, Novartis, and AbbVie; speakers’ bureau from Roche; and expert testimony from Roche and Genentech. D.C. reports research funding from MedImmune, AstraZeneca, Clovis, Eli Lilly, 4SC, Bayer, Celgene, and Roche. A.M.G.-S. reports honoraria from Roche, Celgene, Janssen, Servier, and Gilead; consulting or advisory role with Roche, Bristol Myers Squibb/Celgene, Morphosys, Kyowa Kirin, Clinigen, Eusa Pharma, Novartis, Gilead, Servier, and Incyte; research funding from Janssen; expert testimony from Gilead; and travel support Roche, Celgene, Servier, and Kern Pharma. D.T. reports consultancy or advisory role for Partner, Takeda, EUSA, Kite, Kyowa Kirin, and Magenta; speakers' bureau participation for Takeda and Kite; and research funding from Bristol Myers Squibb, Kite, Genentech, Incyte, and Fate Therapeutics. R.K. reports consulting or advisory role with BeiGene, Kite, Morphosys, Karyopharm, Bristol Myers Squibb/Celgene, Genentech, Roche, Janssen, and Pharmacyclics; speakers’ bureau from AstraZeneca, BeiGene, Kite, and Morphosys; and research funding from Kite, Bristol Myers Squibb/Celgene, and Takeda. N.K. reports honoraria from Gilead, Novartis, and Celgene and consultancy or advisory role for Gilead, Novartis, and Celgene. C. Thieblemont reports honoraria from Bristol Myers Squibb/Celgene, AbbVie, Takeda, Novartis, Roche, Kite and Incyte; consultancy or advisory role for Bristol Myers Squibb/Celgene, AbbVie, Takeda, Roche, Novartis, Kite, and Incyte; and travel support from Bristol Myers Squibb/Celgene, Takeda, Roche, Novartis, and Kite. G.E. reports consultancy or advisory role with Kite and Gilead Sciences. P.D. reports consulting or advisory role for AbbVie, AstraZeneca, bluebird bio, Bristol Myers Squibb, Gilead Sciences, Janssen, and Novartis and research funding from Riemser. R.M. reports honoraria from Gilead; consultancy or advisory role Gilead Science; and travel support from Gilead. N.J., W.-J.W., and C.T.S. report employment with OPEN Health; consultancy or advisory role for Kite through employment at OPEN Health; and research funding from multiple clients through employment at OPEN Health. J.T.S. and C. To report employment with Kite and stock or other ownership in Gilead. P.C. reports employment with Kite; stock or other ownership in Gilead; and travel support from Kite. M.J.K. reports honoraria from Kite, Novartis, Miltenyi Biotech, Roche, and Bristol Myers Squibb/Celgene; consultancy or advisory role for Kite, Roche, Bristol Myers Squibb/Celgene, Novartis, and Miltenyi Biotech; research funding from Kite, Roche, Takeda, and Celgene; and travel support from Kite, Roche, Novartis, and Miltenyi Biotech. The remaining authors declare no competing financial interests.

© 2022 by The American Society of Hematology. Licensed under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0), permitting only noncommercial, nonderivative use with attribution. All other rights reserved.

Figures

Graphical abstract
Graphical abstract
Figure 1.
Figure 1.
Mixed model with repeated measures for change from baseline for secondary PRO endpoints (QoL analysis set). Results populated only through month 15 due to lack of model convergence when using time points. Horizontal lines represent the minimally important difference thresholds for clinically meaningful change and are provided for clarity of interpretation. This model included variables for treatment, time, and treatment by time interaction (primary analysis) and controlled for response to first-line therapy (primary refractory, relapse = 6 months of first-line therapy vs relapse > 6 and = 12 months of first-line therapy) and age-adjusted IPI (0-1 vs 2-3) at time of screening. Patients who had PRO assessments after an EFS event (supplemental Results) were not censored to avoid biasing results by excluding patients with worse outcomes. ∗P < .05.
Figure 2.
Figure 2.
Mixed model with repeated measures for change from baseline for exploratory EORTC QLQ-C30 functional scales (QoL analysis set). Results populated only through month 15 due to lack of model convergence when using time points. For EORTC QLQ-C30 domains, figures are based on model 1. Horizontal lines represent the minimally important difference thresholds for clinically meaningful change and are provided for clarity of interpretation. This model included variables for treatment, time, and treatment by time interaction (primary analysis) and controlled for response to first-line therapy (primary refractory, relapse = 6 months of first-line therapy vs relapse > 6 and = 12 months of first-line therapy) and age-adjusted IPI (0-1 vs 2-3) at time of screening. Patients who had PRO assessments after an EFS event (supplemental Results) were not censored to avoid biasing results by excluding patients with worse outcomes. ∗P < .05.
Figure 3.
Figure 3.
Mixed model with repeated measures for change from baseline for exploratory EORTC QLQ-C30 symptom scales (QoL analysis set). Results populated only through month 15 due to lack of model convergence when using time points. For EORTC QLQ-C30 domains, figures based on model 1. Horizontal lines represent the minimally important difference thresholds for clinically meaningful change and are provided for clarity of interpretation. This model included variables for treatment, time, and treatment by time interaction (primary analysis) and controlled for response to first-line therapy (primary refractory, relapse = 6 months of first-line therapy vs relapse > 6 and = 12 months of first-line therapy) and age-adjusted IPI (0-1 vs 2-3) at time of screening. Patients who had PRO assessments after an EFS event (supplemental Results) were not censored to avoid biasing results by excluding patients with worse outcomes. ∗P < .05.
Figure 3.
Figure 3.
Mixed model with repeated measures for change from baseline for exploratory EORTC QLQ-C30 symptom scales (QoL analysis set). Results populated only through month 15 due to lack of model convergence when using time points. For EORTC QLQ-C30 domains, figures based on model 1. Horizontal lines represent the minimally important difference thresholds for clinically meaningful change and are provided for clarity of interpretation. This model included variables for treatment, time, and treatment by time interaction (primary analysis) and controlled for response to first-line therapy (primary refractory, relapse = 6 months of first-line therapy vs relapse > 6 and = 12 months of first-line therapy) and age-adjusted IPI (0-1 vs 2-3) at time of screening. Patients who had PRO assessments after an EFS event (supplemental Results) were not censored to avoid biasing results by excluding patients with worse outcomes. ∗P < .05.
Figure 4.
Figure 4.
Time until definitive improvement Kaplan-Meier curves for exploratory EORTC QLQ-C30 global health status/QoL, EORTC QLQ-C30 physical functioning, EQ-5D-5L VAS, and EORTC QLQ-C30 dyspnea. Cumulative incidence of improvement (greater than the minimally important difference) in scores from baseline with no further decline, controlling for death as a competing risk; an event was defined as the first time reaching the threshold for improvement and no deterioration below the threshold at later time points. Patients who had PRO assessments after an EFS event (supplemental Results) were not censored to avoid biasing results by excluding patients with worse outcomes. + on the curve, censor; CIF, cumulative incidence function; NE, not estimable.

References

    1. Crump M, Neelapu SS, Farooq U, et al. Outcomes in refractory diffuse large B-cell lymphoma: results from the international SCHOLAR-1 study. Blood. 2017;130(16):1800–1808. [published correction appears in Blood. 2018;131(5):587–588]
    1. Zahid U, Akbar F, Amaraneni A, et al. A review of autologous stem cell transplantation in lymphoma. Curr Hematol Malig Rep. 2017;12(3):217–226.
    1. Philip T, Guglielmi C, Hagenbeek A, et al. Autologous bone marrow transplantation as compared with salvage chemotherapy in relapses of chemotherapy-sensitive non-Hodgkin’s lymphoma. N Engl J Med. 1995;333(23):1540–1545.
    1. Gisselbrecht C, Glass B, Mounier N, et al. Salvage regimens with autologous transplantation for relapsed large B-cell lymphoma in the rituximab era. J Clin Oncol. 2010;28(27):4184–4190.
    1. Van Den Neste E, Schmitz N, Mounier N, et al. Outcome of patients with relapsed diffuse large B-cell lymphoma who fail second-line salvage regimens in the International CORAL study. Bone Marrow Transplant. 2016;51(1):51–57.
    1. van Imhoff GW, McMillan A, Matasar MJ, et al. Ofatumumab versus rituximab salvage chemoimmunotherapy in relapsed or refractory diffuse large B-cell lymphoma: the ORCHARRD study. J Clin Oncol. 2017;35(5):544–551.
    1. YESCARTA® (axicabtagene ciloleucel) Prescribing information . Kite Pharma, Inc; 2021.
    1. YESCARTA® (axicabtagene ciloleucel) [summary of product characteristics] Kite Pharma EU B.V.; Amsterdam, the Netherlands: 2021.
    1. Locke FL, Ghobadi A, Jacobson CA, et al. Long-term safety and activity of axicabtagene ciloleucel in refractory large B-cell lymphoma (ZUMA-1): a single-arm, multicentre, phase 1-2 trial. Lancet Oncol. 2019;20(1):31–42.
    1. Jacobson C, Locke FL, Ghobadi A, et al. Long-term (≥4 year and ≥5 year) overall survival (OS) by 12- and 24-month event-free survival (EFS): an updated analysis of ZUMA-1, the pivotal study of axicabtagene ciloleucel (axi-cel) in patients (Pts) with refractory large B-cell lymphoma (LBCL) Blood. 2021;138(suppl 1):1764.
    1. Locke FL, Miklos DB, Jacobson CA, et al. All ZUMA-7 Investigators and Contributing Kite Members. Axicabtagene ciloleucel as second-line therapy for large B-cell lymphoma. N Engl J Med. 2022;386(7):640–654.
    1. Oerlemans S, Issa DE, van den Broek EC, et al. Health-related quality of life and persistent symptoms in relation to (R-) CHOP14, (R-)CHOP21, and other therapies among patients with diffuse large B-cell lymphoma: results of the population-based PHAROS-registry. Ann Hematol. 2014;93(10):1705–1715.
    1. Hafez R, Hussein S, Ismail M. Definitive salvage chemotherapy for the treatment of refractory/relapsed non-Hodgkin lymphoma, a single center experience. Alex J Med. 2018;54(4):679–683.
    1. Food and Drug Administration Guidance for Industry Patient-Reported Outcome Measures: Use in Medical Product Development to Support Labeling Claims.
    1. Food and Drug Administration Core Patient-Reported Outcomes in Cancer Clinical Trials.
    1. European Medicines Agency Appendix 2 to the guideline on the evaluation of anticancer medicinal products in man: the use of patient-reported outcome (PRO) measures in oncology studies.
    1. Aaronson NK, Ahmedzai S, Bergman B, et al. The European Organization for Research and Treatment of Cancer QLQ-C30: a quality-of-life instrument for use in international clinical trials in oncology. J Natl Cancer Inst. 1993;85(5):365–376.
    1. Cella DF, Tulsky DS, Gray G, et al. The Functional Assessment of Cancer Therapy scale: development and validation of the general measure. J Clin Oncol. 1993;11(3):570–579.
    1. Hlubocky FJ, Webster K, Beaumont J, et al. A preliminary study of a health related quality of life assessment of priority symptoms in advanced lymphoma: the National Comprehensive Cancer Network-Functional Assessment of Cancer Therapy - Lymphoma Symptom Index. Leuk Lymphoma. 2013;54(9):1942–1946.
    1. Lin V, Oak B, Snider J, Epstein J. Health-related quality of life (HRQOL) burden in patients with relapsed/refractory diffuse large B-cell lymphoma (RR-DLBCL) and non-Hodgkin’s lymphoma (RR-NHL) J Clin Oncol. 2020;38(15 suppl)
    1. Rabin R, de Charro F. EQ-5D: a measure of health status from the EuroQol Group. Ann Med. 2001;33(5):337–343.
    1. Shah J, Shacham S, Kauffman M, et al. Health-related quality of life and utility outcomes with selinexor in relapsed/refractory diffuse large B-cell lymphoma. Future Oncol. 2021;17(11):1295–1310.
    1. Thieblemont C, Howlett S, Casasnovas R.-O., et al. Lenalidomide maintenance for diffuse large B-cell lymphoma patients responding to R-CHOP: quality of life, dosing, and safety results from the randomised controlled REMARC study. Br J Haematol. 2020;189(1):84–96.
    1. Fayers P, Aaronson N, Bjordal K, Groenvold M, Curran D, Bottomley A. 3rd Edition. European Organisation for Research and Treatment of Cancer; Brussels, Belgium: 2001. The EORTC QLQ-C30 Scoring Manual.
    1. Herdman M, Gudex C, Lloyd A, et al. Development and preliminary testing of the new five-level version of EQ-5D (EQ-5D-5L) Qual Life Res. 2011;20(10):1727–1736.
    1. Cheng R, Scippa K, Locke FL, Snider JT, Jim H. Patient perspectives on health-related quality of life in diffuse large B-cell lymphoma treated with car T-cell therapy: a qualitative study. Oncol Ther. 2022;10(1):123–141.
    1. Swerdlow SH, Campo E, Pileri SA, et al. The 2016 revision of the World Health Organization classification of lymphoid neoplasms. Blood. 2016;127(20):2375–2390.
    1. Cheson BD, Fisher RI, Barrington SF, et al. United Kingdom National Cancer Research Institute. Recommendations for initial evaluation, staging, and response assessment of Hodgkin and non-Hodgkin lymphoma: the Lugano classification. J Clin Oncol. 2014;32(27):3059–3068.
    1. Pickard AS, Law EH, Jiang R, et al. United States valuation of EQ-5D-5L health states using an international protocol. Value Health. 2019;22(8):931–941.
    1. Reilly MC, Zbrozek AS, Dukes EM. The validity and reproducibility of a work productivity and activity impairment instrument. PharmacoEconomics. 1993;4(5):353–365.
    1. Benjamini Y, Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc Series B Stat Methodol. 1995;57(1):289–300.
    1. Maringwa JT, Quinten C, King M, et al. EORTC PROBE project and the Lung Cancer Group. Minimal important differences for interpreting health-related quality of life scores from the EORTC QLQ-C30 in lung cancer patients participating in randomized controlled trials. Support Care Cancer. 2011;19(11):1753–1760.
    1. Pickard AS, Neary MP, Cella D. Estimation of minimally important differences in EQ-5D utility and VAS scores in cancer. Health Qual Life Outcomes. 2007;5(1):70.
    1. Osoba D, Rodrigues G, Myles J, Zee B, Pater J. Interpreting the significance of changes in health-related quality-of-life scores. J Clin Oncol. 1998;16(1):139–144.
    1. Cocks K, King MT, Velikova G, et al. Evidence-based guidelines for interpreting change scores for the European Organisation for the Research and Treatment of Cancer Quality of Life Questionnaire Core 30. Eur J Cancer. 2012;48(11):1713–1721.
    1. Bonnetain F, Dahan L, Maillard E, et al. Time until definitive quality of life score deterioration as a means of longitudinal analysis for treatment trials in patients with metastatic pancreatic adenocarcinoma. Eur J Cancer. 2010;46(15):2753–2762.
    1. Anota A, Hamidou Z, Paget-Bailly S, et al. Time to health-related quality of life score deterioration as a modality of longitudinal analysis for health-related quality of life studies in oncology: do we need RECIST for quality of life to achieve standardization? Qual Life Res. 2015;24(1):5–18.
    1. Fine JP, Gray RJ. A proportional hazards model for the subdistribution of a competing risk. J Am Stat Assoc. 1999;94(446):496–509.
    1. Sidana S, Thanarajasingam G, Griffin J, et al. Patient experience of chimeric antigen receptor (CAR)-T cell therapy vs. stem cell transplant: Longitudinal patient reported adverse events, cognition and quality of life. Blood. 2019;134(suppl_1):794.
    1. Stark RG, Reitmeir P, Leidl R, König HH. Validity, reliability, and responsiveness of the EQ-5D in inflammatory bowel disease in Germany. Inflamm Bowel Dis. 2010;16(1):42–51.
    1. Nolte S, Liegl G, Petersen MA, et al. EORTC Quality of Life Group. General population normative data for the EORTC QLQ-C30 health-related quality of life questionnaire based on 15,386 persons across 13 European countries, Canada and the Unites States. Eur J Cancer. 2019;107:153–163.
    1. Ruark J, Mullane E, Cleary N, et al. Patient-reported neuropsychiatric outcomes of long-term survivors after chimeric antigen receptor T cell therapy. Biol Blood Marrow Transplant. 2020;26(1):34–43.
    1. Wang XS, Srour SA, Whisenant M, et al. Patient-reported symptom and functioning status during the first 12 months after chimeric antigen receptor T cell therapy for hematologic malignancies. Transplant Cell Ther. 2021;27(11):930.e1–930.e10.
    1. Maziarz RT, Waller EK, Jaeger U, et al. Patient-reported long-term quality of life after tisagenlecleucel in relapsed/refractory diffuse large B-cell lymphoma. Blood Adv. 2020;4(4):629–637.
    1. Patrick DL, Powers A, Jun MP, et al. Effect of lisocabtagene maraleucel on HRQoL and symptom severity in relapsed/refractory large B-cell lymphoma. Blood Adv. 2021;5(8):2245–2255.
    1. Abramson JS, Solomon SR, Arnason JE, et al. Improved quality of life (QOL) with lisocabtagene maraleucel (liso-cel), a CD19-directed chimeric antigen receptor (CAR) T cell therapy, compared with standard of care (SOC) as second-line (2L) treatment in patients (Pts) with relapsed or refractory (R/R) large B-cell lymphoma (LBCL): results from the phase 3 Transform study. Blood. 2021;138(suppl 1):3845.
    1. Bishop MR, Dickinson M, Purtill D, et al. Second-line tisagenlecleucel or standard care in aggressive B-cell lymphoma. N Engl J Med. 2022;386(7):629–639.
    1. Neelapu SS, Locke FL, Bartlett NL, et al. Axicabtagene ciloleucel CAR T-cell therapy in refractory large B-cell lymphoma. N Engl J Med. 2017;377(26):2531–2544.

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