Literature DB >> 34289175

Post-transplant maintenance therapy in patients with FLT3-mutated acute myeloid leukemia: Real-world treatment patterns and outcomes.

James D Griffin1, Yan Song2, Hongbo Yang2, Jonathan Freimark2, Manasee V Shah3.   

Abstract

OBJECTIVES: Maintenance therapy is one strategy to prolong survival in patients with acute myeloid leukemia (AML) following hematopoietic stem cell transplantation (HSCT). We evaluated real-world treatment patterns and outcomes in patients with newly diagnosed FLT3-mutated AML receiving HSCT after complete remission with first-line chemotherapy.
METHODS: A global, retrospective chart review to evaluate maintenance therapy and outcomes in patients with FLT3-mutated AML after HSCT.
RESULTS: Data from 1208 charts from eight countries showed that most patients (n = 765 [63.3%]) received no maintenance therapy after HSCT, 219 (18.1%) received FLT3 inhibitor maintenance therapy, and 224 (18.5%) received other types of maintenance therapy. No systematic differences were observed in healthcare resource utilization across the three groups. Clinical benefit was observed with FLT3 inhibitor maintenance over no maintenance therapy with relapse-free survival (adjusted hazard ratio [HR] 0.57 [95% CI 0.34-0.94], P < .05). FLT3 inhibitor and other maintenance also demonstrated overall survival benefit over no maintenance (adjusted HR 0.50 [95% CI 0.28-0.89] and 0.46 [95% CI 0.23-0.91], respectively; both P < .05).
CONCLUSIONS: Real-world maintenance therapies after HSCT in patients with FLT3-mutated AML were heterogeneous. While overall use of healthcare resources was not significantly increased in patients receiving maintenance therapy versus those who did not, clinical outcomes were improved.
© 2021 The Authors. European Journal of Haematology published by John Wiley & Sons Ltd.

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Keywords:  acute; health care; hematopoietic stem cell transplantation; leukemia; myeloid; outcome assessment

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Year:  2021        PMID: 34289175      PMCID: PMC9292256          DOI: 10.1111/ejh.13692

Source DB:  PubMed          Journal:  Eur J Haematol        ISSN: 0902-4441            Impact factor:   3.674


INTRODUCTION

Acute myeloid leukemia (AML) is a heterogeneous disease involving a clonal population of myeloid stem cells with aberrant differentiation and proliferation, wherein molecular mutations and cytogenetic abnormalities can impact the overall prognosis. Among genetic risk factors, activating mutations in fms‐like tyrosine kinase 3 (FLT3) are present in up to 35% of patients with AML. FLT3 mutations confer a worsened prognosis, characterized by lower complete remission (CR) rates and shorter disease‐free or event‐free survival, particularly in patients with internal tandem duplications (ITD) compared with patients with wild‐type FLT3. , , , The reported impact on prognosis for patients with FLT3 tyrosine kinase domain (TKD) point mutations, which occur in about 10% of patients, is less consistent. , Many patients with high‐risk AML undergo hematopoietic stem cell transplantation (HSCT) as part of their therapy. , , However, patients with higher‐risk AML experience higher post‐HSCT relapse rates , , and increased risk of early relapse after transplant compared with standard‐risk patients. In those with FLT3‐ITD AML, after allogeneic HSCT, the relapse incidence 2 years post‐HSCT was approximately 30% compared with approximately 16% in patients without FLT3‐ITD, and relapse was associated with a significantly shorter overall survival (OS) in these patients. In some populations, maintenance therapies in AML have been found to be feasible and beneficial in sustaining remission. , , , There is growing interest in providing maintenance therapy after HSCT for patients with AML in an attempt to reduce relapses, yet the treatment approaches that clinicians currently use are not clearly understood. Recently completed or ongoing studies evaluating the safety and efficacy of post‐transplant maintenance therapies in patients with FLT3‐mutated AML include gilteritinib (NCT02997202), crenolanib (NCT02400255, NCT01522469, NCT03250338), sorafenib (NCT01398501, NCT01578109), and others (NCT01477606, NCT01468467). In addition to weighing the benefits and risks of preventative intervention on patients’ health, additional therapies have the potential to affect overall healthcare resource utilization (HRU). The use of healthcare resources associated with various aspects of treatment—such as hospitalizations, clinic visits, or transfusions—is an important component to understand when developing any new treatment modality due to the impact on a patient's family life as well as healthcare costs. , , Despite the known risks and burden of relapse, recommendations and guidelines for maintenance therapy after HSCT are lacking. , , In this study, we obtained real‐world data collected from the medical charts of patients with newly diagnosed FLT3‐mutated (FLT3 mut+) AML who received HSCT after achieving CR with first‐line chemotherapy. Given the lack of standard guidelines and recommendations for maintenance therapy after HSCT in this population, our objective was to characterize real‐world maintenance therapy patterns and compare clinical outcomes and HRU among patients treated with various maintenance approaches.

METHODS

Study design and population

This study was a retrospective chart review of adult patients with FLT3‐mutated AML who had achieved CR with first‐line chemotherapy and then undergone HSCT. Physicians from eight countries—Canada, France, Germany, Italy, Japan, Spain, the United Kingdom, and the United States—extracted data from eligible patient charts. This research was granted exemption from full review by the New England Institutional Review Board, given that no personally identifiable information would be collected. Data‐privacy regulations were adhered to in all countries with participating physicians. Participating physicians used a prespecified rule to randomly select the medical records of up to 10 eligible patients. To be eligible for chart abstraction, adult patients (aged 18 years or older) were required to have a confirmed AML diagnosis between January 1, 2015, and October 31, 2018, and be under the responding physician's care from the initial diagnosis. Patients were required to have a confirmed FLT3 mutation, have achieved CR with first‐line chemotherapy, have subsequently undergone HSCT, and have at least 1 year of follow‐up data after the first CR or confirmed date of death within 1 year after the first CR. Patients with acute promyelocytic leukemia or AML secondary to prior treatment for other neoplasms were excluded. The baseline period was defined as the date that AML was diagnosed to the date of HSCT, which was considered the index date, and the study period was defined as the index date to the most recent follow‐up visit or date of death. Data on baseline characteristics, treatment patterns, treatment outcomes, and AML‐related HRU were collected. A standardized case report form, which was pilot‐tested by physicians from different countries, was used by individual physicians to maintain consistency in data abstraction. Additionally, real‐time error and logic checking were implemented to ensure data quality; automatic data validation was incorporated in the case report form which was hosted online. For instance, when appropriate, some responses were validated by responses to previous questions (eg, the date of treatment initiation must be after the date of initial AML diagnosis). If there were any logical inconsistencies with these responses, physicians would be requested to double‐check their responses. Baseline characteristics included demographics, comorbidities, and performance status, as well as AML‐related characteristics (eg, genetic mutations, molecular and cytogenetic abnormalities, extramedullary involvement). Data on treatment patterns consisting of first‐line chemotherapy regimens (induction/re‐induction and consolidation therapies), HSCT type, and maintenance therapies after HSCT were also obtained. Maintenance therapies were defined on the case report form as non‐myelosuppressive treatment with chemotherapy and/or targeted therapeutic agents that are administered over a period of months to years to sustain remission after first‐line chemotherapy and/or HSCT (if applicable). Healthcare resource utilization was characterized using data abstracted on services related to AML care, including hospitalizations, emergency department visits, outpatient visits, and AML‐related management and monitoring.

Endpoints

The primary endpoints included post‐HSCT maintenance therapy patterns and AML‐related HRU during the study period. Given the large number of different individual treatments, a hierarchy of treatments was used to create mutually exclusive regimen categories. For example, within the post‐HSCT maintenance therapies, FLT3 inhibitors (forming the “FLT3 inhibitor maintenance therapy” cohort) were assigned the highest level, followed by hypomethylating agents (HMAs), other targeted therapies, and cytotoxic chemotherapy without targeted agents. Treatment regimens could only be assigned to one category. Patients who had their post‐HSCT maintenance therapy regimen assigned to the HMA, other targeted therapies, or cytotoxic chemotherapy without targeted agents category were grouped together to form the “other maintenance therapy” cohort. Ultimately, patients were included in one of three cohorts: FLT3 inhibitor maintenance therapy, other maintenance therapy, and no maintenance therapy. Healthcare resources evaluated included service‐related resources such as visit type and duration, as well as treatment and monitoring procedures such as transfusions, medications, and lab testing or imaging. Exploratory clinical outcomes included evaluation of relapse‐free survival (RFS) and OS during the study period, both of which were measured from the time of HSCT (index date) to the time of event or censoring at the date of the last visit.

Statistical analyses

Baseline characteristics, treatment patterns, and AML‐related HRU during the study period were summarized using descriptive statistics for each study cohort. Additionally, AML‐related HRU was compared between study cohorts using generalized linear models adjusting for the following covariates: age at index date, sex, race, time from diagnosis to index date, body mass index, Eastern Cooperative Oncology Group (ECOG) grade, measurable residual disease status, extramedullary involvement, risk status, and HSCT type. For survival outcomes, time‐to‐event analyses were conducted beginning at the index date, with censoring at the end of data availability for patients without clinical events. Kaplan‐Meier curves and Cox proportional hazards models were used to describe and compare RFS and OS between cohorts. The following baseline covariates were adjusted in the Cox regression models: age at index date, sex, race, country, time from diagnosis to index date, body mass index, ECOG grade, measurable residual disease status, extramedullary involvement, risk status, and HSCT type. All analyses were conducted using R Statistical Software, version 3.6.1.

RESULTS

A total of 311 hematologists and oncologists (Table S1) from eight countries contributed data from 1208 patients with FLT3‐mutated AML who underwent HSCT. Among these patients, 219 received a FLT3 inhibitor as post‐HSCT maintenance therapy, 224 received other types of post‐HSCT maintenance therapy, and 765 did not receive post‐HSCT maintenance therapy. Follow‐up duration (mean ± SD) was comparable between patient cohorts (FLT3 inhibitor maintenance therapy, 15.4 ± 9.7 months; other maintenance therapy, 16.1 ± 10.6 months; no maintenance therapy, 16.6 ± 11.6 months). The median (interquartile range) duration of maintenance therapy after HSCT was 198.00 (99.00, 349.00) days in patients receiving FLT3 inhibitor maintenance therapy and 127.00 (58.00, 201.00) days in patients receiving other maintenance therapy; median durations for specific maintenance therapies are shown in Table S2. The median time from HSCT to initiation of maintenance therapy was 1.08 months (FLT3 inhibitor maintenance therapy, 1.18 months; other maintenance therapy, 0.95 months). Mean age of patients was 53.5 years at the time of HSCT; 62.8% of patients were male, and 80.4% were white (Table 1). Common comorbidities included hypertension (33.0%), diabetes (15.2%), and coronary heart disease (6.8%). Most patients had good‐to‐moderate performance status with 84.7% having an ECOG grade 0 or 1. More patients who received other maintenance therapy had known extramedullary involvement compared with patients who received FLT3 inhibitors or no maintenance therapy. Across the three cohorts, more patients in the FLT3 inhibitor cohort had poor cytogenetic or molecular risk status while more patients in the other cohort were minimal residual disease–positive, despite being in CR. Over 70% of patients had an ITD, with or without a TKD mutation. Normal cytogenetics was higher among patients who had received FLT3 inhibitor maintenance therapy (31.5%) compared with those who received other (14.3%) or no (28.1%) maintenance therapy. Additional AML‐related acquired mutations and cytogenetic or molecular abnormalities at HSCT are shown in Table S3.
TABLE 1

Patient baseline characteristics

CharacteristicsPost‐HSCT maintenance therapy
FLT3 Inhibitor n = 219Other n = 224None n = 765
Age at HSCT date (years), mean ±SD55.1 ± 13.552.7 ± 13.853.3 ± 12.9
Diagnosis to HSCT date (months), mean ±SD6.7 ± 4.59.2 ± 6.66.1 ± 5.4
Male145 (66.2)154 (68.8)460 (60.1)
BMI (kg/m2), mean ± SD24.7 ± 3.823.8 ± 2.724.6 ± 3.6
Country
United States23 (10.5)40 (17.9)116 (15.2)
Canada0030 (3.9)
France62 (28.3)29 (13.0)109 (14.3)
Germany26 (11.9)11 (4.9)83 (10.9)
Italy44 (20.1)60 (26.8)103 (13.5)
Japan14 (6.4)54 (24.1)12 (1.6)
Spain27 (12.3)24 (10.7)153 (20.0)
United Kingdom23 (10.5)6 (2.7)159 (20.8)
Race
White187 (85.4)153 (68.3)631 (82.5)
Asian or Pacific Islander18 (8.2)47 (21.0)46 (6.0)
Black or African10 (4.6)24 (10.7)84 (11.0)
Other1 (0.5)02 (0.3)
Unknown3 (1.4)02 (0.3)
ECOG performance status a
Grade 0 or 1194 (88.6)183 (81.7)646 (84.4)
Grade 2 or higher25 (11.4)40 (17.9)117 (15.3)
Unknown01 (0.5)2 (0.3)
Comorbidities a
Hypertension75 (34.3)72 (32.1)252 (32.9)
Diabetes31 (14.2)35 (15.6)117 (15.3)
Mental health condition15 (6.9)21 (9.4)43 (5.6)
COPD9 (4.1)15 (6.7)23 (3.0)
Renal disease9 (4.1)10 (4.5)32 (4.2)
Peripheral artery disease9 (4.1)9 (4.0)19 (2.5)
Coronary heart disease7 (3.2)15 (6.7)60 (7.8)
Congestive heart failure7 (2.3)5 (2.2)16 (2.1)
Stroke5 (2.3)7 (3.1)14 (1.8)
WHO classification a
Myelodysplasia‐related16 (7.3)31 (13.8)129 (16.9)
Recurrent genetic abnormalities111 (50.7)119 (53.1)328 (42.9)
Unknown11 (5.0)15 (6.7)28 (3.7)
Unspecified81 (37.0)59 (26.3)280 (36.6)
Risk status a
Favorable risk30 (13.7)54 (24.1)158 (20.7)
Intermediate risk83 (37.9)109 (48.7)332 (43.4)
Poor risk104 (47.5)59 (26.3)262 (34.3)
Unknown2 (0.9)2 (0.9)13 (1.7)
HSCT type
Allogeneic183 (83.6)143 (63.8)605 (79.1)
Reduced intensity allogeneic17 (7.7)45 (20.1)58 (7.6)
Autologous19 (8.7)36 (16.1)102 (13.3)
Disease status at HSCT
Complete remission208 (95.0)211 (94.2)745 (97.4)
Relapse11 (5.0)13 (5.8)20 (2.6)
Response to first‐line chemotherapy
CR155 (70.8)157 (70.1)579 (75.7)
CR with partial hematologic recovery42 (19.2)42 (18.8)122 (16.0)
CR with incomplete hematologic recovery18 (8.2)19 (8.5)46 (6.0)
CR with incomplete platelet recovery4 (1.8)6 (2.7)18 (2.4)
MRD status at complete remission
MRD negative111 (50.7)110 (49.1)434 (56.7)
MRD positive84 (38.4)100 (44.6)203 (26.5)
Unknown24 (11.0)14 (6.3)128 (16.7)
Known extramedullary involvement a 54 (24.7)139 (62.1)208 (27.2)
Mutations and cytogenetic abnormalities
FLT3 status b
ITD135 (61.6)122 (54.5)460 (60.1)
ITD & TKD22 (10.1)27 (12.1)84 (11.0)
TKD62 (28.3)75 (33.5)221 (28.9)
Allelic frequency of the ITD mutation (%), mean ± SD41.2 ± 20.241.5 ± 23.043.3 ± 22.5
Normal cytogenetics69 (31.5)32 (14.3)215 (28.1)

Values are presented as n (%), unless otherwise noted.

Abbreviations: BMI, body mass index; COPD, chronic obstructive pulmonary disease; CR, complete remission; ECOG, Eastern Cooperative Oncology Group; FLT3, Fms‐like tyrosine kinase 3; HSCT, hematopoietic stem cell transplantation; ITD, internal tandem duplication; MRD, measurable residual disease; SD, standard deviation; TKD, tyrosine kinase domain; WHO, World Health Organization.

Data obtained at the index date (date of HSCT). As assessed by the physician according to risk stratification by the National Comprehensive Cancer Network Acute Myeloid Leukemia guidelines.

FLT3 mutation status reported at initial diagnosis.

Patient baseline characteristics Values are presented as n (%), unless otherwise noted. Abbreviations: BMI, body mass index; COPD, chronic obstructive pulmonary disease; CR, complete remission; ECOG, Eastern Cooperative Oncology Group; FLT3, Fms‐like tyrosine kinase 3; HSCT, hematopoietic stem cell transplantation; ITD, internal tandem duplication; MRD, measurable residual disease; SD, standard deviation; TKD, tyrosine kinase domain; WHO, World Health Organization. Data obtained at the index date (date of HSCT). As assessed by the physician according to risk stratification by the National Comprehensive Cancer Network Acute Myeloid Leukemia guidelines. FLT3 mutation status reported at initial diagnosis. Across all three cohorts, allogeneic transplantation (including reduced intensity and standard allogeneic transplantation) accounted for the majority of HSCT (FLT3 inhibitor, 91.3%; other, 83.9%; none, 86.7%) (Table 1). Autologous transplants were received by 8.7% of patients on FLT3 inhibitor maintenance therapy, 16.1% of patients on other maintenance therapy, and 13.3% of patients on no therapy after HSCT. Approximately 96% of patients were in CR at the time of HSCT. Over 90% of the patients used cytotoxic chemotherapy for induction and/or consolidation therapy prior to HSCT (Table S4). FLT3 inhibitors were used by 22.1% of patients in combination with cytotoxic chemotherapy and 6.1% of patients without chemotherapy during induction therapy; 16.1% and 5.9% of patients used FLT3 inhibitors, respectively, during consolidation therapy. After HSCT, 63.3% of patients did not receive maintenance therapy. Those receiving post‐HSCT maintenance therapy included 219 (18.1%) patients who received FLT3 inhibitor therapy and 224 (18.5%) patients receiving other types of maintenance therapy (Table 2). The most commonly used FLT3 inhibitor in post‐HSCT maintenance therapy among the FLT3 inhibitor maintenance therapy group was midostaurin (63.9%) followed by sorafenib (26.5%). Cytotoxic chemotherapy, consisting of predominantly cytarabine‐based regimens, accounted for 70.5% of the other non‐FLT3 inhibitor maintenance therapies, while HMAs and other targeted therapies accounted for the remaining treatments, at 14.7% for each therapy.
TABLE 2

Agents used for post‐HSCT maintenance therapy

N = 1,208 n (%)
FLT3 inhibitors219 (18.1) a
Midostaurin140 (63.9) b
Sorafenib58 (26.5) b
Gilteritinib14 (6.4) b
Quizartinib9 (4.1) b
Other maintenance therapy224 (18.5) a
Hypomethylating agents33 (14.7) b
Azacitidine22 (9.8) b
Decitabine11 (4.9) b
Other targeted therapies33 (14.7) b
Enasidenib10 (4.5) b
Gemtuzumab ozogamicin9 (4.0) b
Ivosidenib8 (3.6) b
Venetoclax6 (2.7) b
Glasdegib1 (0.5) b
Cytotoxic chemotherapy158 (70.5) b
Cytarabine‐based chemotherapy98 (43.8) b
Low‐dose cytarabine24 (10.7) b
Standard‐dose cytarabine42 (18.8) b
High‐dose cytarabine12 (5.4) b
Other chemotherapies60 (26.8) b
None765 (63.3) a

Abbreviations: FLT3, Fms‐like tyrosine kinase 3; HSCT, hematopoietic stem cell transplantation; SD, standard deviation.

Percentages are based on total number of patients in sample; agents within specific therapy types are not mutually exclusive.

Percentages are based on the number of patients within each post‐HSCT maintenance therapy type as the denominator.

Agents used for post‐HSCT maintenance therapy Abbreviations: FLT3, Fms‐like tyrosine kinase 3; HSCT, hematopoietic stem cell transplantation; SD, standard deviation. Percentages are based on total number of patients in sample; agents within specific therapy types are not mutually exclusive. Percentages are based on the number of patients within each post‐HSCT maintenance therapy type as the denominator. AML patients across all study cohorts had frequent HRU during the study period. Overall, there were no systematic differences in HRU across the three cohorts, though small numeric differences were observed in monthly means depending on the HRU type. While no differences were observed in the average number of monthly inpatient or emergency department visits, differences were observed in outpatient visits across the three cohorts (Figure 1A). However, after adjustment for baseline covariates, the incidence rates of inpatient visits, emergency department visits, and outpatient visits did not differ significantly between patients who received maintenance therapy (FLT3 inhibitor or other) and patients who did not receive maintenance therapy (Table 3). Compared to patients with no maintenance therapy, patients with other maintenance therapy had significantly shorter inpatient stays (adjusted IRR, 0.40; P < .01) but longer palliative care stays (adjusted IRR, 5.17; P < .05) (Table 3). Approximately 50% of patients received a blood transfusion during the study period, and no differences were observed in the number of blood transfusions received by patients across cohorts (Figure 1B). Regarding monitoring and treatment procedures, adjusted models suggested fewer imaging examinations in patients on either FLT3 inhibitor or other maintenance therapy compared with patients on no maintenance therapy and fewer bone marrow biopsies and antibiotic courses in those on other versus no maintenance therapy (Table 3).
FIGURE 1

Monthly healthcare resource utilization for patients post‐HSCT receiving FLT3 maintenance therapy, other maintenance therapy, or no maintenance therapy. A, The monthly healthcare resource utilization by type of service (inpatient, outpatient, emergency department, or palliative care) identified using number of days or visits is shown in the bar graph. Abbreviations: CI, confidence interval; ED, emergency department; FLT3, Fms‐like tyrosine kinase 3; G‐CSF, granulocyte colony‐stimulating factor; HRU; healthcare resource utilization; IRR, incidence rate ratio; RBC, red blood cell. Numbers at the end of bars indicate means (standard deviations), representing continuous variables. Bolded numbers in inset table indicate statistical significance at P < .05. *Significantly different between maintenance therapy groups, P < .05. B, The healthcare resource utilization by diagnostic‐ and treatment‐related resources identified using the number of each resource used per month is shown in the bar graph. Numbers at the end of bars indicate means (standard deviations), representing continuous variables. Bolded numbers in inset table indicate statistical significance at P < .05. †Analysis of all patients receiving transfusions on a monthly basis for the entire study period. ‡Analysis of only patients receiving transfusions on a monthly basis for the entire study period. §Significantly different between maintenance therapy groups, P < .05

TABLE 3

Adjusted incidence rate ratios of healthcare resource utilization between post‐HSCT maintenance therapy and no maintenance therapy

HRUAdjusted a IRR (95% CI), per person‐month
FLT3 inhibitor vs None P‐ValueOther vs None P‐Value
Inpatient visits1.12 (0.81‐1.56).500.76 (0.51‐1.14).19
Inpatient days0.99 (0.55‐1.77).970.40 (0.21‐0.76) <.01
Emergency department visits0.82 (0.59‐1.14).240.76 (0.53‐1.08).13
Outpatient1.15 (0.92‐1.45).230.94 (0.73‐1.20).60
Palliative care days b 1.32 (0.40‐4.38).655.17 (1.46‐18.28) <.05
Blood transfusion c 0.71 (0.48‐1.04).080.84 (0.56‐1.28).43
Red blood cell transfusion c 0.73 (0.51‐1.05).090.81 (0.55‐1.20).29
Platelet transfusion c 0.71 (0.48‐1.07).100.93 (0.60‐1.44).74
Imaging exams0.70 (0.55‐0.91) <.01 0.66 (0.50‐0.87) <.01
Bone marrow biopsies0.93 (0.76‐1.15).510.76 (0.60‐0.96) <.05
Blood count tests1.06 (0.89‐1.26).501.04 (0.87‐1.25).67
Granulocyte colony‐stimulating factor1.35 (0.82‐2.21).241.14 (0.67‐1.95).62
Antibiotic courses0.83 (0.63‐1.09).170.72 (0.53‐0.97) <.05

Bolded numbers in table indicate statistical significance at P < .05.

Abbreviations: CI, confidence interval; FLT3, Fms‐like tyrosine kinase 3; HRU, healthcare resource utilization; IRR, incidence rate ratio.

Models were adjusted for the following covariates, unless otherwise specified: age at index date, sex, race, time from diagnosis to index date, body mass index, Eastern Cooperative Oncology Group grade, measurable residual disease status, extramedullary involvement, risk status, and HSCT type.

The following covariates were removed from the list of overall covariates for adjustment for model stability: measurable residual disease status, extramedullary involvement, and risk status.

Analysis of only patients receiving transfusions on a monthly basis for the entire study period.

Monthly healthcare resource utilization for patients post‐HSCT receiving FLT3 maintenance therapy, other maintenance therapy, or no maintenance therapy. A, The monthly healthcare resource utilization by type of service (inpatient, outpatient, emergency department, or palliative care) identified using number of days or visits is shown in the bar graph. Abbreviations: CI, confidence interval; ED, emergency department; FLT3, Fms‐like tyrosine kinase 3; G‐CSF, granulocyte colony‐stimulating factor; HRU; healthcare resource utilization; IRR, incidence rate ratio; RBC, red blood cell. Numbers at the end of bars indicate means (standard deviations), representing continuous variables. Bolded numbers in inset table indicate statistical significance at P < .05. *Significantly different between maintenance therapy groups, P < .05. B, The healthcare resource utilization by diagnostic‐ and treatment‐related resources identified using the number of each resource used per month is shown in the bar graph. Numbers at the end of bars indicate means (standard deviations), representing continuous variables. Bolded numbers in inset table indicate statistical significance at P < .05. †Analysis of all patients receiving transfusions on a monthly basis for the entire study period. ‡Analysis of only patients receiving transfusions on a monthly basis for the entire study period. §Significantly different between maintenance therapy groups, P < .05 Adjusted incidence rate ratios of healthcare resource utilization between post‐HSCT maintenance therapy and no maintenance therapy Bolded numbers in table indicate statistical significance at P < .05. Abbreviations: CI, confidence interval; FLT3, Fms‐like tyrosine kinase 3; HRU, healthcare resource utilization; IRR, incidence rate ratio. Models were adjusted for the following covariates, unless otherwise specified: age at index date, sex, race, time from diagnosis to index date, body mass index, Eastern Cooperative Oncology Group grade, measurable residual disease status, extramedullary involvement, risk status, and HSCT type. The following covariates were removed from the list of overall covariates for adjustment for model stability: measurable residual disease status, extramedullary involvement, and risk status. Analysis of only patients receiving transfusions on a monthly basis for the entire study period. Over the course of the study period, a total of 191 patients experienced AML relapse or death. Patients in the FLT3 inhibitor maintenance group appeared to have longer RFS than those in the other two groups, though the difference was not statistically significant (log‐rank P = .10); the median RFS was not reached in any of the cohorts (Figure 2A). In the adjusted Cox regression models, the risk for relapse or death in the “FLT3 inhibitor” cohort compared with the “no maintenance therapy” cohort was lower (adjusted HR of RFS 0.57 [95% CI 0.34‐0.94], P < .05) (Table 4). RFS was no difference between patients on other maintenance therapy compared with no maintenance therapy.
FIGURE 2

Relapse‐free and overall survival curves for patients post‐HSCT receiving FLT3 maintenance therapy, other maintenance therapy, or no maintenance therapy. A, Relapse‐free survival for the different types of maintenance therapies is estimated using Kaplan‐Meier curves. B, Overall survival for the different types of maintenance therapies is estimated using Kaplan‐Meier curves. Abbreviations: FLT3, Fms‐like tyrosine kinase 3; HSCT, hematopoietic stem cell transplantation

TABLE 4

Cox regression analyses for relapse‐free survival and overall survival

Relapse‐free survivalOverall survival
UnadjustedAdjusted a UnadjustedAdjusted a
FLT3 inhibitor vs none
HR (95% CI)0.61 (0.39‐0.96)0.57 (0.34‐0.94)0.53 (0.32‐0.89)0.50 (0.28‐0.89)
P‐Value<.05<.05<.05<.05
Other vs none
HR (95% CI)0.97 (0.67‐1.42)0.91 (0.55‐1.52)0.50 (0.30‐0.84)0.46 (0.23‐0.91)
P‐Value.88.72<.01<.05

Abbreviations: CI, confidence interval; FLT3, Fms‐like tyrosine kinase 3; HR, hazard ratio; HSCT, hematopoietic stem cell transplantation.

Adjusted for age at index date, sex, race, country, time from diagnosis to index date, body mass index, Eastern Cooperative Oncology Group grade, measurable residual disease status, extramedullary involvement, risk status, and HSCT type.

Relapse‐free and overall survival curves for patients post‐HSCT receiving FLT3 maintenance therapy, other maintenance therapy, or no maintenance therapy. A, Relapse‐free survival for the different types of maintenance therapies is estimated using Kaplan‐Meier curves. B, Overall survival for the different types of maintenance therapies is estimated using Kaplan‐Meier curves. Abbreviations: FLT3, Fms‐like tyrosine kinase 3; HSCT, hematopoietic stem cell transplantation Cox regression analyses for relapse‐free survival and overall survival Abbreviations: CI, confidence interval; FLT3, Fms‐like tyrosine kinase 3; HR, hazard ratio; HSCT, hematopoietic stem cell transplantation. Adjusted for age at index date, sex, race, country, time from diagnosis to index date, body mass index, Eastern Cooperative Oncology Group grade, measurable residual disease status, extramedullary involvement, risk status, and HSCT type. Patients on any type of maintenance therapy were found to have longer OS compared with patients not on any maintenance therapy post‐HSCT (log‐rank P < .01) (Figure 2B). Results from Cox regression models were consistent with those seen in the Kaplan‐Meier analysis. When comparing individual maintenance therapies, the risk of death was lower in the FLT3 inhibitor cohort (adjusted HR 0.50 [95% CI 0.28‐0.89], P < .05) and the other maintenance therapy cohort (adjusted HR 0.46 [95% CI 0.23‐0.91], P < .05) compared with the no maintenance therapy cohort (Table 4). Additional analyses were conducted to determine the impact of the following factors on survival: use of FLT3 inhibitors prior to HSCT, FLT3 mutation type, allelic frequency, specific FLT3 inhibitor uses, and transplant type. Results of the additional analyses indicate that most of these factors did not significantly affect the post‐HSCT OS and RFS among patients who used FLT3 inhibitors for maintenance therapy except for patients receiving allogeneic HSCT and patients with an allelic frequency ≥0.5. A sensitivity analysis with FLT3 inhibitor use in induction therapy as an additional covariate in the adjusted Cox regression models showed no impact on OS and RFS.

DISCUSSION

Best practices and recommendations from treatment guidelines on maintenance therapy after HSCT are limited. The AML treatment guidelines do not address routine maintenance strategies. , The European Society for Medical Oncology recognizes several therapeutic options and acknowledges that results from larger studies are needed ; meanwhile, for patients with FLT3‐ITD AML after allogeneic HSCT, the European Society of Blood and Marrow Transplantation recommends post‐transplant FLT3 inhibitor maintenance therapy for a minimum of 2 years. Several small or retrospective studies have identified potential benefits of post‐HSCT maintenance therapy with various FLT3 inhibitors. , , , , , , , A recently published phase 2 study evaluating sorafenib found promising results, and larger studies, including phase 3 trials evaluating gilteritinib (EudraCT 2016‐001061‐83, NCT02997202), are ongoing. In addition to the scarcity of best practice recommendations, real‐world data on the use and outcomes associated with maintenance therapies after transplant for patients with FLT3‐mutated AML are also lacking. Despite the high risk of adverse clinical outcomes after transplantation, including disease progression and relapse, the potential benefits of using maintenance therapies to prolong remission and survival remain to be determined in ongoing studies. In this retrospective chart review, we found that the approaches to post‐HSCT maintenance therapy in patients with FLT3 mut+ AML across various countries were heterogeneous. About 37% of patients received any post‐HSCT maintenance therapy, and only about half of those patients (18% of all patients) received a FLT3 tyrosine kinase inhibitor. It is important to note that the choice of maintenance therapy reported in this study—particularly FLT3 inhibitor therapy—was likely influenced by the availability of evidence for FLT3‐mutated AML in addition to the accessibility to the general population (including through market availability and/or insurance coverage) of the agent in different countries. , , , , , , , , , , To date, gilteritinib, midostaurin, and sorafenib have approval in multiple countries, whereas quizartinib is only approved in Japan. , , , , , , , , Substantial or systematic differences in HRU for patients receiving maintenance therapies were not observed. In this study, the use of hospitals, emergency departments, and several other resources was similar across cohorts and did not exceed the use observed in the patients not receiving any maintenance therapy. Only palliative care use was significantly greater in patients on other non‐FLT3 inhibitor maintenance therapies compared with no maintenance therapy. Thus, it should not be expected that patients would require additional healthcare resources to support maintenance therapies, though further study would assist in clarifying resource utilization and costs. Relapsed and refractory episodes have been associated with increased HRU and high healthcare costs, particularly related to hospitalization. , , Lessening the economic burden associated with relapsed and refractory episodes is therefore a secondary advantage to the clinical benefits for patients of achieving and maintaining CR. Although the rate of AML‐related HRU was similar, clinical outcomes were improved in patients who were given any maintenance therapy compared with those not receiving any maintenance therapy. Of note, the use of FLT3 inhibitors prior to HSCT in some patients could have influenced the physicians’ decision to continue treatment post‐HSCT and the subsequent outcomes. However, the finding of improved survival in patients with FLT3‐mutated AML receiving post‐HSCT maintenance therapy is encouraging and consistent with other studies. Notably, patients receiving FLT3 inhibitors as maintenance therapy had a lower hazard of relapse and/or death compared with patients not receiving any maintenance therapy. In small or retrospective comparative studies of maintenance therapy, OS rates were improved in patients receiving sorafenib , and midostaurin compared with those not receiving FLT3 inhibitor maintenance therapy. In a recently published phase 2, randomized, double‐blind study of post‐HSCT patients with FLT3‐ITD–positive AML, sorafenib maintenance therapy was found to reduce the risk of relapse and death compared with placebo (ie, no maintenance therapy). As mentioned previously, studies evaluating the safety and efficacy of several different agents (including gilteritinib, sorafenib, and crenolanib) as maintenance therapies in patients with FLT3‐mutated AML post‐transplant have recently been completed or are ongoing. As a retrospective chart review, this study does have several limitations. First, only data available and accessible to physicians could be abstracted, and, as a result, HRU may be underestimated if patients received care elsewhere or if care was not documented. Additionally, the accuracy of physician‐determined risk status or sensitivity of measurable residual disease is difficult to confirm in this type of study even though all physicians were hematologists and oncologists with multiple years of practice. Survivor bias may exist in these data wherein physicians selected patients that survived rather than died. To mitigate potential bias, physicians were specifically informed to consider patients that were both alive or deceased and to avoid selecting patients based on treatment response. A randomization scheme was also used to select patients. The finding of improvements in OS but not RFS could point to differences in non‐relapse mortality, which may indicate a selection bias based upon post‐transplant fitness and/or transplant‐related toxicity. Finally, potential confounders, such as differences in proportions of patients that received autologous versus allogeneic HSCT (although regression models for OS and RFS were adjusted for HSCT type) or broad variability in maintenance treatments among patients, as well as selection bias, wherein certain patients are more likely to be prescribed maintenance therapy by their providers, may be inherent to a retrospective study. Additional analyses conducted to explore potential impacts show a minimal effect of the use of FLT3 inhibitor prior to HSCT, type of FLT3 inhibitor, FLT3 mutation, allelic frequency, and type of HSCT, although many cohorts had relatively smaller sample sizes and thus lower statistical power. The findings of our study may help providers identify current global practices and generate data or hypotheses for future investigation.

CONCLUSIONS

Using data from medical charts of patients with FLT3‐mutated AML in multiple countries, we observed that the use of post‐HSCT maintenance therapy, including FLT3 inhibitors, was heterogeneous, and its use may significantly reduce the risk of clinical events without substantial increases in HRU. The results of this study support continued evaluation of post‐HSCT maintenance therapies to prevent relapse and prolong survival for patients with AML and FLT3 mutations.

CONFLICT OF INTEREST

JDG has received consulting revenue from Astellas, Daiichi‐Sankyo, and Novartis; research funding from Novartis; and postmarket royalties from Novartis through the Dana‐Farber Cancer Institute. YS, HY, and JF are employees of Analysis Group, which received consulting fees from Astellas. MVS is an employee of Astellas.

AUTHOR CONTRIBUTIONS

All authors were involved in the conception of the study design; and contributed to the acquisition, analysis, and interpretation of the study data. All authors participated in the drafting of the manuscript, provided the final approval of the submitted version, and agree to be held accountable for all aspects of the work. Tables S1‐S4 Click here for additional data file.
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Review 1.  Maintenance therapy in acute myeloid leukemia: an evidence-based review of randomized trials.

Authors:  Armin Rashidi; Roland B Walter; Martin S Tallman; Frederick R Appelbaum; John F DiPersio
Journal:  Blood       Date:  2016-06-27       Impact factor: 22.113

Review 2.  Diagnosis and management of AML in adults: 2017 ELN recommendations from an international expert panel.

Authors:  Hartmut Döhner; Elihu Estey; David Grimwade; Sergio Amadori; Frederick R Appelbaum; Thomas Büchner; Hervé Dombret; Benjamin L Ebert; Pierre Fenaux; Richard A Larson; Ross L Levine; Francesco Lo-Coco; Tomoki Naoe; Dietger Niederwieser; Gert J Ossenkoppele; Miguel Sanz; Jorge Sierra; Martin S Tallman; Hwei-Fang Tien; Andrew H Wei; Bob Löwenberg; Clara D Bloomfield
Journal:  Blood       Date:  2016-11-28       Impact factor: 22.113

3.  Efficacy and Feasibility of Sorafenib as a Maintenance Agent After Allogeneic Hematopoietic Stem Cell Transplantation for Fms-like Tyrosine Kinase 3 Mutated Acute Myeloid Leukemia: An Update.

Authors:  Giorgia Battipaglia; Radwan Massoud; Syed Osman Ahmed; Ollivier Legrand; Jean El Cheikh; Riad Youniss; Mahmoud Aljurf; Mohamad Mohty; Ali Bazarbachi
Journal:  Clin Lymphoma Myeloma Leuk       Date:  2019-04-18

4.  Phase I trial of maintenance sorafenib after allogeneic hematopoietic stem cell transplantation for fms-like tyrosine kinase 3 internal tandem duplication acute myeloid leukemia.

Authors:  Yi-Bin Chen; Shuli Li; Andrew A Lane; Christine Connolly; Candice Del Rio; Betsy Valles; Morgan Curtis; Karen Ballen; Corey Cutler; Bimalangshu R Dey; Areej El-Jawahri; Amir T Fathi; Vincent T Ho; Amy Joyce; Steven McAfee; Michelle Rudek; Trivikram Rajkhowa; Sigitas Verselis; Joseph H Antin; Thomas R Spitzer; Mark Levis; Robert Soiffer
Journal:  Biol Blood Marrow Transplant       Date:  2014-09-17       Impact factor: 5.742

5.  Efficacy and feasibility of sorafenib as a maintenance agent after allogeneic hematopoietic stem cell transplantation for Fms-like tyrosine kinase 3-mutated acute myeloid leukemia.

Authors:  Giorgia Battipaglia; Annalisa Ruggeri; Radwan Massoud; Jean El Cheikh; Matthieu Jestin; Ahmad Antar; Syed Osman Ahmed; Walid Rasheed; Marwan Shaheen; Ramdane Belhocine; Eolia Brissot; Remy Dulery; Sandra Eder; Federica Giannotti; Francoise Isnard; Simona Lapusan; Marie-Therese Rubio; Anne Vekhoff; Mahmoud Aljurf; Ollivier Legrand; Mohamad Mohty; Ali Bazarbachi
Journal:  Cancer       Date:  2017-04-07       Impact factor: 6.860

6.  Sorafenib Maintenance After Allogeneic Hematopoietic Stem Cell Transplantation for Acute Myeloid Leukemia With FLT3-Internal Tandem Duplication Mutation (SORMAIN).

Authors:  Andreas Burchert; Gesine Bug; Lea V Fritz; Jürgen Finke; Matthias Stelljes; Christoph Röllig; Ellen Wollmer; Ralph Wäsch; Martin Bornhäuser; Tobias Berg; Fabian Lang; Gerhard Ehninger; Hubert Serve; Robert Zeiser; Eva-Maria Wagner; Nicolaus Kröger; Christine Wolschke; Michael Schleuning; Katharina S Götze; Christoph Schmid; Martina Crysandt; Eva Eßeling; Dominik Wolf; Ying Wang; Alexandra Böhm; Christian Thiede; Torsten Haferlach; Christian Michel; Wolfgang Bethge; Thomas Wündisch; Christian Brandts; Susanne Harnisch; Michael Wittenberg; Heinz-Gert Hoeffkes; Susanne Rospleszcz; Alexander Burchardt; Andreas Neubauer; Markus Brugger; Konstantin Strauch; Carmen Schade-Brittinger; Stephan K Metzelder
Journal:  J Clin Oncol       Date:  2020-07-16       Impact factor: 44.544

Review 7.  Targeting FLT3 mutations in AML: review of current knowledge and evidence.

Authors:  Naval Daver; Richard F Schlenk; Nigel H Russell; Mark J Levis
Journal:  Leukemia       Date:  2019-01-16       Impact factor: 11.528

8.  Treatment patterns and healthcare resource utilization in patients with FLT3-mutated and wild-type acute myeloid leukemia: A medical chart study.

Authors:  James D Griffin; Hongbo Yang; Yan Song; David Kinrich; Manasee V Shah; Cat N Bui
Journal:  Eur J Haematol       Date:  2019-02-05       Impact factor: 2.997

9.  Economic and Clinical Burden of Acute Myeloid Leukemia Episodes of Care in the United States: A Retrospective Analysis of a Commercial Payer Database.

Authors:  Bhavik J Pandya; Chi-Chang Chen; Bruno C Medeiros; Catherine B McGuiness; Samuel D Wilson; Elise Horvath Walsh; Rolin L Wade
Journal:  J Manag Care Spec Pharm       Date:  2020-04-13
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  3 in total

Review 1.  Which FLT3 Inhibitor for Treatment of AML?

Authors:  Jayastu Senapati; Tapan Mahendra Kadia
Journal:  Curr Treat Options Oncol       Date:  2022-03-08

2.  Depth of Response to Intensive Chemotherapy Has Significant Prognostic Value among Acute Myeloid Leukemia (AML) Patients Undergoing Allogeneic Hematopoietic Stem-Cell Transplantation with Intermediate or Adverse Risk at Diagnosis Compared to At-Risk Group According to European Leukemia Net 2017 Risk Stratification.

Authors:  Tong-Yoon Kim; Silvia Park; Daehun Kwag; Jong-Hyuk Lee; Joonyeop Lee; Gi-June Min; Sung-Soo Park; Young-Woo Jeon; Seung-Hawn Shin; Seung-Ah Yahng; Jae-Ho Yoon; Sung-Eun Lee; Byung-Sik Cho; Ki-Seong Eom; Yoo-Jin Kim; Seok Lee; Chang-Ki Min; Seok-Goo Cho; Jong-Wook Lee; Hee-Je Kim
Journal:  Cancers (Basel)       Date:  2022-06-29       Impact factor: 6.575

3.  Post-transplant maintenance therapy in patients with FLT3-mutated acute myeloid leukemia: Real-world treatment patterns and outcomes.

Authors:  James D Griffin; Yan Song; Hongbo Yang; Jonathan Freimark; Manasee V Shah
Journal:  Eur J Haematol       Date:  2021-08-11       Impact factor: 3.674

  3 in total

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