Improved survival with enasidenib versus standard of care in relapsed/refractory acute myeloid leukemia associated with IDH2 mutations using historical data and propensity score matching analysis

Stéphane de Botton, Joseph M Brandwein, Andrew H Wei, Arnaud Pigneux, Bruno Quesnel, Xavier Thomas, Ollivier Legrand, Christian Recher, Sylvain Chantepie, Mathilde Hunault-Berger, Nicolas Boissel, Salem A Nehme, Mark G Frattini, Alessandra Tosolini, Roland Marion-Gallois, Jixian J Wang, Chris Cameron, Muhaimen Siddiqui, Brian Hutton, Gary Milkovich, Eytan M Stein, Stéphane de Botton, Joseph M Brandwein, Andrew H Wei, Arnaud Pigneux, Bruno Quesnel, Xavier Thomas, Ollivier Legrand, Christian Recher, Sylvain Chantepie, Mathilde Hunault-Berger, Nicolas Boissel, Salem A Nehme, Mark G Frattini, Alessandra Tosolini, Roland Marion-Gallois, Jixian J Wang, Chris Cameron, Muhaimen Siddiqui, Brian Hutton, Gary Milkovich, Eytan M Stein

Abstract

Background: The present study evaluated the relative survival benefits associated with enasidenib and current standard of care (SoC) therapies for patients with relapsed/refractory (R/R) acute myeloid leukemia (AML) and an isocitrate dehydrogenase 2 (IDH2) mutation who are ineligible for hematopoietic stem cell transplantation (HSCT).

Methods: Propensity score matching (PSM) analysis compared survival outcomes observed with enasidenib 100 mg daily in the phase I/II AG221-C-001 trial and SoC outcomes obtained from a real-world chart review of patients in France.

Results: Before matching, enasidenib (n = 195) was associated with numerically improved overall survival (OS) relative to SoC (n = 80; hazard ratio [HR], 0.82; 95% confidence interval [CI], 0.61-1.11). After matching and adjusting for covariates (n = 78 per group), mortality risk was significantly lower with enasidenib than with SoC (HR, 0.67; 95% CI, 0.47-0.97). The median OS was 9.26 months for enasidenib (95% CI, 7.72-13.24) and 4.76 months for SoC (95% CI, 3.81-8.21). Results remained robust across all sensitivity analyses conducted.

Conclusions: PSM analyses indicate that enasidenib significantly prolongs survival relative to SoC among patients with R/R AML and an IDH2 mutation who are ineligible for HSCT. Future prospective studies are needed to validate these findings using other data sources and to assess the comparative efficacy of enasidenib for other treatment outcomes.

Trial registration: ClinicalTrials.gov NCT01915498.

Keywords: IDH2 mutations; acute myeloid leukemia; enasidenib; overall survival; standard of care.

Conflict of interest statement

SdB has received research funding and served on an advisory board for Agios; participated in speakers’ bureaus and served on advisory boards for AbbVie, Bristol Myers Squibb, and Janssen; served on an advisory board and provided consultancy to Pierre Fabre; and served on advisory boards for Astellas, Bayer, Daiichi‐Sankyo, Forma, Novartis, Pfizer, Servier, and Syros. JMB has served on advisory boards and received honoraria from Bristol Myers Squibb, Jazz Pharmaceuticals, Novartis, Otsuka, Pfizer, and Teva; and received research funding from Bristol Myers Squibb. AHW has received research funding and honoraria and served on advisory boards for AbbVie, Bristol Myers Squibb, Novartis, and Servier. AP has received honoraria from AbbVie, Amgen, Astellas, Bristol Myers Squibb, Daiichi‐Sankyo, Jazz Pharmaceuticals, Novartis, Pfizer, and Roche. BQ has received honoraria from Astellas, Celyad, Novartis, and Sunesis. CR has served on advisory boards for AbbVie, Janssen, MacroGenics, and Pfizer; served on advisory boards for and received research funding from Astellas, Bristol Myers Squibb, Daiichi‐Sankyo, Jazz Pharmaceuticals, Novartis, and Sunesis; and received research funding from Agios, Amgen, Chugai, and MaaT Pharma. MH‐B has interests in AbbVie, Astellas, Daiichi‐Sankyo, and Sunesis. NB has received honoraria from Amgen, Ariad, Jazz Pharmaceuticals, Pfizer, Shire, and Servier; and served on advisory boards for Bristol Myers Squibb. SAN, MGF, AT, RM‐G, and J(J)W are employees of Bristol Myers Squibb. CC is an employee and shareholder of EVERSANA Life Sciences Services Inc. MS is an employee of EVERSANA Life Sciences Services Inc. BH is a methodological advisor for EVERSANA Life Sciences Services Inc. GM has provided consultancy services to Bristol Myers Squibb. EMS has received consulting fees from Agios, Amgen, Astellas, Bristol Myers Squibb, Daiichi‐Sankyo, Genentech, Novartis, PTC Therapeutics, Seattle Genetics, and Syros. XT, OL, and SC have no conflicts of interest to disclose.

© 2021 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.

Figures

FIGURE 1
FIGURE 1
Kaplan–Meier estimate of overall survival (OS) for optimal 1:1 PS‐matched sample of patients receiving enasidenib (AG221‐C‐001 trial) and standard of care (SoC) (French chart review [FCR] study)
FIGURE 2
FIGURE 2
Comparison of overall survival (OS) as determined through various PSM algorithms

References

    1. Döhner H, Weisdorf DJ, Bloomfield CD. Acute myeloid leukemia. N Engl J Med. 2015;373(12):1136‐1152.
    1. De Kouchkovsky I, Abdul‐Hay M. Acute myeloid leukemia: a comprehensive review and 2016 update. Blood Cancer J. 2016;6(7):e441.
    1. Lubeck DP, Danese M, Jennifer D, Miller K, Richhariya A, Garfin PM. Systematic literature review of the global incidence and prevalence of myelodysplastic syndrome and acute myeloid leukemia. Blood. 2016;128(22):5930.
    1. Kell J. Considerations and challenges for patients with refractory and relapsed acute myeloid leukaemia. Leuk Res. 2016;47:149‐160.
    1. Cancer Research UK . Acute myeloid leukaemia (AML) incidence statistics. 2015. Accessed May 2018.
    1. National Cancer Institute . Cancer stat facts: leukemia—acute myeloid leukemia (AML). Accessed May 2018.
    1. Oran B, Weisdorf DG. Survival for older patients with acute myeloid leukemia: a population‐based study. Haematologica. 2012;97(12):1916‐1924.
    1. Walter RB, Estey EH. Management of older or unfit patients with acute myeloid leukemia. Leukemia. 2015;29(4):770‐775.
    1. Gross S, Cairns RA, Minden MD, et al. Cancer‐associated metabolite 2‐hydroxyglutarate accumulates in acute myelogenous leukemia with isocitrate dehydrogenase 1 and 2 mutations. J Exp Med. 2010;207:339‐344.
    1. Losman JA, Looper R, Koivunen P, et al. (R)‐2‐hydroxyglutarate is sufficient to promote leukemogenesis and its effects are reversible. Science. 2013;339(6127):1621‐1625.
    1. Figueroa ME, Abdel‐Wahab O, Lu C, et al. Leukemic IDH1 and IDH2 mutations result in a hypermethylation phenotype, disrupt TET2 function, and impair hematopoietic differentiation. Cancer Cell. 2010;18(6):553‐567.
    1. Stein EM. IDH2 inhibition in AML: finally progress? Best Pract Res Clin Haematol. 2015;28(2–3):112‐115.
    1. United States Food and Drug Administration , Updated 2017. Accessed January 2019.
    1. Stein EM, DiNardo CD, Pollyea DA, et al. Enasidenib in mutant IDH2 relapsed or refractory acute myeloid leukemia. Blood. 2017;130(6):722‐731.
    1. Stein EM, DiNardo CD, Fathi AT, et al. Molecular remission and response patterns in patients with mutant‐IDH2 acute myeloid leukemia treated with enasidenib. Blood. 2019;133(7):676‐687.
    1. Stuart EA. Matching methods for causal inference: a review and a look forward. Stat Sci. 2010;25(1):1‐21.
    1. Austin PC. An introduction to propensity score methods for reducing the effects of confounding in observational studies. Multivariate Behav Res. 2011;46(3):399‐424.
    1. Austin PC, Stuart EA. Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies. Stat Med. 2015;34(28):3661‐3679.
    1. Austin PC, Schuster T. The performance of different propensity score methods for estimating absolute effects of treatments on survival outcomes: a simulation study. Stat Methods Med Res. 2016;25(5):2214‐2237.
    1. Faria R, Alava MH, Manca A, Wailoo AJ. NICE DSU Technical Support Document 17: the use of observational data to inform estimates of treatment effectiveness in technology appraisal: methods for comparative individual patient data. 2015. Accessed July 2019.
    1. Gayat E, Resche‐Rigon M, Mary JY, Porcher R. Propensity score applied to survival data analysis through proportional hazards models: a Monte Carlo study. Pharm Stat. 2012;11(3):222‐229.
    1. Austin PC. The use of propensity score methods with survival or time‐to‐event outcomes: reporting measures of effect similar to those used in randomized experiments. Stat Med. 2014;33(30):1242‐1258.
    1. Dunkler D, Ploner M, Schemper M, Heinze G. Weighted Cox regression using the R package coxphw. J Stat Softw. 2018;84(2):1‐26.
    1. Funk MJ, Westreich D, Wiesen C, Stürmer T, Brookhart MA, Davidian M. Doubly robust estimation of causal effects. Am J Epidemiol. 2011;173(7):761‐767.
    1. Austin PC, Stuart EA. The performance of inverse probability of treatment weighting and full matching on the propensity score in the presence of model misspecification when estimating the effect of treatment on survival outcomes. Stat Methods Med Res. 2017;26(4):1654‐1670.
    1. Ho DE, Imai K, King G, Stuart EA. MatchIt: nonparametric preprocessing for parametric causal inference. J Stat Soft. 2011;42(8):1‐28. Accessed October 2019.
    1. Optmatch . Package ‘optmatch’. Version 0.9‐12. Accessed October 2019.
    1. Austin PC. Some methods of propensity‐score matching had superior performance to others: results of an empirical investigation and Monte Carlo simulations. Biom J. 2009;51(1):171‐184.
    1. Takahashi K, Kantarjian H, Yang Y, et al. A propensity score matching analysis of dasatinib and nilotinib as a frontline therapy for patients with chronic myeloid leukemia in chronic phase. Cancer. 2016;122(21):3336‐3343.
    1. Wiese M, Daver N. Unmet clinical needs and economic burden of disease in the treatment landscape of acute myeloid leukemia. Am J Manag Care. 2018;24(16 Suppl):S347‐S355.
    1. Lyle L, Daver N. Current and emerging therapies for patients with acute myeloid leukemia: a focus on MCL‐1 and the CDK9 pathway. Am J Manag Care. 2018;24:S356‐S365.
    1. Pemmaraju N, Kantarjian H, Garcia‐Manero G, et al. Improving outcomes for patients with acute myeloid leukemia in first relapse: a single center experience. Am J Hematol. 2015;90(1):27‐30.
    1. DiNardo CD, Stein EM. SOHO state of the art update and next questions: IDH therapeutic targeting in AML. Clin Lymphoma Myeloma Leuk. 2018;18(12):769‐772.
    1. Largeaud L, Bérard E, Bertoli S, et al. Outcome of AML patients with IDH2 mutations in real world before the era of IDH2 inhibitors. Leuk Res. 2019;81:82‐87.
    1. Fathi AT, DiNardo CD, Kline I, et al. Differentiation syndrome associated with enasidenib, a selective inhibitor of mutant isocitrate dehydrogenase 2: analysis of a phase 1/2 study. JAMA Oncol. 2018;4(8):1106‐1110.

Source: PubMed

3
S'abonner