Literature DB >> 26191952

FLT3 mutational status is an independent risk factor for adverse outcomes after allogeneic transplantation in AML.

Yeohan Song1,2, John Magenau3,4,5, Brian Parkin3,4,5, Sung Won Choi4,5,2, Yumeng Li6,7, Thomas Braun6,7, Lawrence Chang2, Dale Bixby3,4,5, David A Hanauer4,7,8, Komal A Chughtai1,2, Erin Gatza2, Daniel Couriel3,4,5, Steven Goldstein3,4,5, Attaphol Pawarode3,4,5, Pavan Reddy3,4,5, Mary Riwes3,4,5, James Connelly4,5,2, Andrew Harris4,5,2, Carrie Kitko4,5,2, John Levine4,5,2, Greg Yanik4,5,2.   

Abstract

Allogeneic hematopoietic cell transplantation (HCT) has been increasingly used in the setting of FMS-like tyrosine kinase-3 (FLT3)-mutated AML. However, its role in conferring durable relapse-free intervals remains in question. Herein we sought to investigate FLT3 mutational status on transplant outcomes. We conducted a retrospective cohort study of 262 consecutive AML patients who underwent first-time allogeneic HCT (2008-2014), of whom 171 had undergone FLT3-ITD (internal tandem duplication) mutational testing. FLT3-mutated AML was associated with nearly twice the relapse risk (RR) compared with those without FLT3 mutation 3 years post-HCT (63% vs 37%, P<0.001) and with a shorter median time to relapse (100 vs 121 days). FLT3 mutational status remained significantly associated with this outcome after controlling for patient, disease and transplant-related risk factors (P<0.05). Multivariate analysis showed a significant association of FLT3 mutation with increased 3-year RR (hazard ratio (HR) 3.63, 95% confidence interval (CI): 2.13, 6.19, P<0.001) and inferior disease-free survival (HR 2.05, 95% CI: 1.29, 3.27, P<0.01) and overall survival (HR 1.92, 95% CI: 1.14, 3.24, P<0.05). These data demonstrate high risk of early relapse after allogeneic HCT for FLT3-mutated AML that translates into adverse disease-free and overall survival outcomes. Additional targeted and coordinated interventions are needed to maintain durable remission after allogeneic HCT in this high-risk population.

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Year:  2015        PMID: 26191952      PMCID: PMC4720584          DOI: 10.1038/bmt.2015.170

Source DB:  PubMed          Journal:  Bone Marrow Transplant        ISSN: 0268-3369            Impact factor:   5.483


INTRODUCTION

Acute myeloid leukemia (AML) is a genetically heterogeneous disease.[1] Acquired somatic mutations in the FMS-like tyrosine kinase-3 (FLT3) gene occur in up to 20% to 30% of AML patients who carry the internal tandem duplication (ITD) mutation.[2-4] FLT3-ITD has been characterized as a gain-of-function mutation with constitutive activation of receptor tyrosine kinase FLT3.[5] This alteration has been associated with adverse prognosis in both pediatric and adult AML patients.[4, 6] Allogeneic hematopoietic cell transplantation (HCT) is an important treatment option for patients with AML.[7] Unfortunately, disease recurrence and transplant-related toxicity remain the major causes of treatment failure.[8] Accordingly, the value of allogeneic HCT in conferring durable long-term remission free intervals continues to be an important consideration, particularly in patients with FLT3 gene mutation. FLT3 mutation as an independent risk factor for allogeneic transplant outcomes has previously been explored by several groups through single institution and multi-center registry studies, with inconsistent reports depending on the study population.[9-31] Unfortunately, many of these studies have been restricted to cytogenetically normal AML, small sample sizes, or specific conditioning or donor types, thereby limiting the generalizability of the findings. While allogeneic HCT with the best available donor has become widely adopted as an important therapeutic option in AML patients with FLT3 mutation who achieve first complete remission (CR1), there may be additional patient, disease, or transplant-specific variables that increase relapse hazards.[8] Therefore, in the present study, we investigated the impact of FLT3 mutational AML on relapse risk (RR), non-relapse mortality (NRM), disease-free survival (DFS), and overall survival outcomes following allogeneic HCT at a single institution between 2008 and 2014. The study design included a retrospective cohort analysis and detailed characterization of patient, disease, and transplant-specific factors by FLT3 mutational status (positive vs. negative).

PATIENTS AND METHODS

Literature review

As the focus of this paper was on FLT3 mutational AML in allogeneic HCT, we conducted a literature search in PubMed/MEDLINE. The search was performed in January 2015 and was restricted to studies published in English within the last 20 years (1995–2015). Three MeSH terms, ‘transplantation,’ ‘FLT3,’ and ‘acute myelogenous leukemia’ were used in the search, in addition to various combinations of ‘HCT,’ ‘FMS-like tyrosine kinase 3,’ ‘acute myeloid leukemia,’ and ‘AML.’ The initial search resulted in a total of 300 articles. Two co-authors (YS and SWC) screened a random half set of the abstracts; 277 were determined as not meeting the inclusion criteria. Both authors read the full text of the remaining 23 papers. Each of these papers was reviewed in depth, with key outcomes summarized in Supplemental Table S1.

Study design

A retrospective cohort study was conducted on 262 pediatric and adult AML patients undergoing first-time allogeneic HCT between January 2008 and July 2014. The study was approved by the University of Michigan Institutional Review Board (IRBMED# HUM00095617). Informed consents were obtained from all subjects and data were collected under the IRBMED-approved protocol (IRBMED # HUM43287). Routine FLT3 mutational testing for AML began in 2008 at the University of Michigan. Twenty-three patients who either had FLT3-TKD mutation without FLT3-ITD or who received umbilical cord blood transplantation were excluded from the study to reduce potential confounding. An additional 65 patients who did not undergo FLT3 mutational testing were excluded from the analysis. Details of their patient, disease, and transplant-related characteristics and outcomes are provided in Supplemental Tables S2–S4. The total study population was 171 patients with known FLT3 mutational status (positive vs. negative). Cytogenetic and molecular testing (FLT3 and NPM1) was performed at the University of Michigan or at referring institutions. Data abstraction of patient, disease, and transplant-related variables was performed through manual chart review of the Electronic Medical Record system (Careweb and MiChart/EPIC), supported by the University of Michigan Electronic Medical Record Search Engine (EMERSE). EMERSE is designed to comprehensively search all institutional clinical documents using specified search terms and queries.[32] Documents screened by EMERSE were examined in further detail for relevant study data. Outcomes of the study included RR, graft-versus-host disease (GVHD), NRM, DFS, and overall survival.

Patient, disease, and transplant-related characteristics

Patient characteristics included age, gender, race, ethnicity, and body mass index (BMI) at the time of allogeneic HCT. A hematopoietic cell transplantation-specific comorbidity index (HCT-CI) score was calculated using documented clinical and laboratory data for each patient in the study, as previously described.[33] Disease features included white blood cell (WBC) count at diagnosis, Center for International Blood and Marrow Transplant Research (CIBMTR) cytogenetic risk based on karyotype at diagnosis (noting the presence or absence of complex cytogenetics [≥3 abnormalities]),[34] NPM1 mutational status, antecedent myelodysplastic syndrome (MDS) or myeloproliferative disorder, and therapy-related AML. Morphologic status at transplant, defined as persistent disease (≥5% blasts) vs. complete remission (<5% blasts), and cytogenetic remission status at transplant, defined as normal karyotype without clonal abnormalities, were also collected. Time from diagnosis to transplantation (infusion of allogeneic hematopoietic cells) was recorded (≥ vs. <180 days). Transplant-related characteristics included number of pre-transplant chemotherapy cycles (induction and consolidation), conditioning intensity (myeloablative or reduced), use of thymoglobulin or alemtuzumab, total body irradiation (≥1200 cGy), stem cell source (bone marrow or peripheral blood), donor-recipient characteristics (gender, related or unrelated, human leukocyte antigen [HLA] matched [8/8] or mismatched [7/8], ABO and Rh blood type, and cytomegalovirus status), number of CD34+ cells transfused, and length of hospital stay. Additional characteristics included GVHD prophylaxis (calcineurin inhibitor [CNI]-methotrexate or CNI-mycophenolate mofetil) and time to neutrophil engraftment (defined as the first of three consecutive days with absolute neutrophil count [ANC] ≥500/mm3).

Statistical analysis

Statistical analyses were performed using R 3.02 (GNU General Public License) with α=0.05 defining the level of statistical significance (two-sided). Summary data were calculated for patient, disease, and transplant-related variables, with medians and ranges determined for continuous variables and counts and percentages calculated for categorical variables. The cohort was then sub-divided into two groups based on their FLT3 mutational status, and statistically significant differences between these groups were assessed using the Kruskal-Wallis test for continuous variables and the χ2 test of association for categorical variables. The Fine-Gray method[35] was used to determine cumulative incidences with competing risks, which were then compared using the K-sample tests described by Gray.[36] The Kaplan-Meier method was used to compute overall survival.[37] Univariate regression methods (competing risks regression for RR, acute and chronic GVHD and NRM, and Cox regression for DFS and overall survival) were used to model the marginal associations of FLT3 mutational status and other patient, disease, and transplant-related variables with clinical outcomes. Bivariate models were used to further determine the joint association of FLT3 mutation and key variables with outcomes. Because complex cytogenetic changes are used in CIBMTR cytogenetic risk determination, this variable was excluded from bivariate and multivariate modeling. Morphologic status (persistent disease vs. CR) was also included in modeling because refractory disease status at the time of allogeneic HCT has previously been shown to be an independent poor prognostic factor.[27] Multivariate regression models using backward selection were used to identify best-fitting models for outcomes containing FLT3 mutational status and other possible confounders identified in descriptive characteristics comparison and univariate and bivariate testing.

RESULTS

Characteristics by FLT3 mutational status

A total of 171 consecutive AML patients with available FLT3 mutational testing received first-time allogeneic HCT. The median age of the study population was 55 years (range, 1−72 years). Age, gender, race, BMI, and HCT-CI distributions were similar in patient groups with vs. without FLT3 mutation. The remaining patient and disease characteristics are detailed in Table 1.
Table 1

Patient and Disease Characteristics by FLT3 Mutational Status

FLT3 RecordedFLT3 NegativeFLT3 PositiveP

CharacteristicsN (%)N (%)N (%)
Patients (count) 17112150
Age (years)
Median [Range]55 [1 - 72]55 [1 - 72]54 [3 - 71]0.519

<60 years117 (68)81 (67)36 (72)0.518
≥60 years54 (32)40 (33)14 (28)
Gender
Female75 (44)51 (42)24 (48)0.483
Male96 (56)70 (58)26 (52)
Race/Ethnicity
White (Non-Hispanic)152 (89)109 (90)43 (86)0.070
White (Hispanic)6 (4)4 (3)2 (4)
Black6 (4)6 (5)0 (0)
Asian3 (2)1 (1)2 (4)
Other4 (2)1 (1)3 (6)
BMI
<18.5 kg/m25 (3)4 (3)1 (2)0.900
18.5-24.9 kg/m239 (23)26 (21)13 (26)
25.0-29.9 kg/m259 (35)42 (35)17 (34)
≥30.0 kg/m268 (40)49 (40)19 (38)
HCT-CI
Low Risk34 (20)22 (18)12 (24)0.630
Intermediate Risk58 (34)43 (36)15 (30)
High Risk79 (46)56 (46)23 (46)
WBC Count at Diagnosis
<10 ×103/μL91 (53)77 (64)14 (28)<0.001
≥10 ×103/μL78 (46)43 (36)35 (70)
Karyotype at Diagnosis, CIBMTR Risk
Low Risk4 (2)4 (3)0 (0)0.004
Intermediate Risk123 (72)82 (68)41 (82)
High Risk23 (13)23 (19)0 (0)
Unknown Risk17 (10)10 (8)7 (14)
Complex Cytogenetics (≥3 abnormalities) at Diagnosis
No142 (83)94 (78)48 (96)<0.001
Yes25 (15)25 (21)0 (0)
Other Molecular Markers
NPM1

Negative104 (61)80 (66)24 (48)<0.001
Positive32 (19)13 (11)19 (38)
Antecedent MDS/MPD
No136 (80)90 (74)46 (92)0.009
Yes35 (20)31 (26)4 (8)
Therapy-related AML
No160 (94)110 (91)50 (100)0.028
Yes11 (6)11 (9)0 (0)
Morphologic Status at Transplant
Complete Remission136 (80)96 (79)40 (80)0.922
Persistent Disease35 (20)25 (21)10 (20)
Time to Transplant (days)
≤ 180117 (68)82 (68)35 (70)0.775
> 18054 (32)39 (32)15 (30)
Number of Induction Cycles Before Transplant
≤ 2134 (78)93 (77)41 (82)0.458
> 237 (22)28 (23)9 (18)
Total Number of Chemotherapy Cycles Before Transplant
Median [Range]3 [0 - 10]3 [0 - 9]3 [1 - 10]0.670

FLT3 mutational status (positive vs. negative)

BMI: body mass index; HCT-CI: Hematopoietic Cell Transplantation-Specific Comorbidity Index; WBC: white blood cell; CIBMTR: Center for International Blood and Marrow Transplant Research; MDS: myelodysplastic syndrome; MPD: myeloproliferative disorder; AML: acute myelogenous leukemia

The groups were also similar in morphologic status at the time of HCT (persistent disease vs. CR), time from diagnosis to HCT (>180 days vs. ≤180), and number of induction (>2 vs. ≤2) and combined induction and consolidation chemotherapy cycles leading to HCT (median of 3 cycles for both groups). Significantly more FLT3 positive than FLT3 negative patients were in cytogenetic remission at the time of HCT (94% vs. 71%, P<0.01). As expected, the FLT3 mutated group had higher WBC counts (≥10,000/μL) at the time of diagnosis (70% vs. 36%, P<0.001), predominantly intermediate-risk CIBMTR cytogenetics with fewer instances of complex cytogenetics at diagnosis (0% vs. 21%, P<0.001), and higher co-occurrence with NPM1 mutation (38% vs. 11%, P<0.001). FLT3 mutation was less often observed in cases of preceding MDS or myeloproliferative disease (8% vs. 26%, P<0.01) and therapy-related AML (0% vs. 9%, P<0.05). Transplant-related characteristics were also similar between the groups, including stem cell source, donor-recipient characteristics, conditioning intensity, use of thymoglobulin or alemtuzumab, total body irradiation, number of CD34+ cells transfused, length of hospital stay, GVHD prophylaxis, and time to neutrophil engraftment (Table 2).
Table 2

Transplantation Characteristics by FLT3 Mutational Status

FLT3 RecordedFLT3 NegativeFLT3 PositiveP

CharacteristicsN (%)N (%)N (%)
Stem Cell Source
Bone Marrow18 (11)13 (11)5 (10)0.885
Peripheral Blood153 (89)108 (89)45 (90)
Donor-Recipient HLA and Relation
Matched (8/8) Related72 (42)51 (42)21 (42)0.305
Matched Unrelated77 (45)57 (47)20 (40)
Mismatched (<8/8) Related2 (1)2 (2)0 (0)
Mismatched Unrelated20 (12)11 (9)9 (18)
Donor-Recipient Gender
Male Donor, Male Recipient61 (36)45 (37)16 (32)0.638
Male Donor, Female Recipient50 (29)36 (30)14 (28)
Female Donor, Male Recipient34 (20)24 (20)10 (20)
Female Donor, Female Recipient25 (15)15 (12)10 (20)
Donor-Recipient ABO Blood Type
Matched108 (63)77 (64)31 (62)0.055
Anti-recipient Antibodies31 (18)25 (21)6 (12)
Anti-donor Antibodies25 (15)17 (14)8 (16)
Anti-recipient and Anti-donor Antibodies7 (4)2 (2)5 (10)
Donor-Recipient Rh Blood Type
Matched138 (81)100 (83)38 (76)0.369
Anti-recipient Antibodies13 (8)7 (6)6 (12)
Anti-donor Antibodies20 (12)14 (12)6 (12)
Donor-Recipient CMV
Recipient and Donor Negative52 (30)38 (31)14 (28)0.521
Recipient Negative and Donor Positive/Unknown25 (15)15 (12)10 (20)
Recipient Positive/Unknown and Donor Negative48 (28)33 (27)15 (30)
Recipient and Donor Positive/Unknown46 (27)35 (29)11 (22)
Conditioning Intensity
Reduced Intensity44 (26)31 (26)13 (26)0.959
Myeloablative127 (74)90 (74)37 (74)
Use of Thymoglobulin or Alemtuzumab
No167 (98)118 (98)49 (98)0.850
Yes4 (2)3 (2)1 (2)
Use of Total Body Irradiation (≥1.2Gy)
No165 (96)117 (97)48 (96)0.822
Yes6 (4)4 (3)2 (4)
CD34 Transfused (×106 cells/kg)
Median [Range]5.5 [1.0 - 10.6]5.6 [1.0 - 10.6]5.3 [1.2 - 9.8]0.232
GVHD Prophylaxis
CSA/Tac + MMF69 (40)54 (45)15 (30)0.072
CSA/Tac + MTX101 (59)67 (55)34 (68)
Tac + Sirolimus1 (1)0 (0)1 (2)
Length of Stay (days)
Median [Range]22 [17 - 97]22 [17 - 97]22 [18 - 34]0.729
Time to Engraftment (days)
Median [Range]12 [4 - 23]12 [4 - 23]12 [7 - 15]0.891

FLT3 mutational status (positive vs. negative)

HLA: human leukocyte antigen; CMV: cytomegalovirus; Gy: gray; GVHD: graft-versus-host disease; CSA: cyclosporine; Tac: tacrolimus; MMF: mycophenolate mofetil; MTX: methotrexate

Engraftment and neutrophil recovery

Granulocyte colony-stimulating factor was started six days after transplantation to promote neutrophil engraftment. The majority of surviving patients (>99%) engrafted within 50 days of allogeneic HCT (Table 2). There was one case of graft failure among patients without FLT3 mutation.

Risk of relapse

Figure 1 illustrates the 3-year cumulative incidence outcomes of the patient cohort following allogeneic HCT, stratified by FLT3 mutational status. Patients with FLT3 mutation experienced shorter median time to relapse (100 days, range: 25−495 days) compared with those without FLT3 mutation (121 days, range: 26−1,142 days). The risk of relapse at 3 years was significantly higher in FLT3 mutated patients (63% vs. 37%, P<0.001). Among the other variables tested, high HCT-CI, high CIBMTR cytogenetic risk, and complex cytogenetics were also significantly associated with increased RR at 3 years (Table 3). We also performed bivariate analyses to explore the individual interactions of FLT3 mutation with age, HCT-CI, CIBMTR cytogenetic risk, NPM1 status, number of induction chemotherapy cycles, morphologic status, and conditioning intensity, and found that FLT3 mutation remained a significant risk factor for relapse even after accounting for these other variables (Table 4). In the multivariate analysis, FLT3 mutation (hazard ratio [HR] 3.63, 95% confidence interval [CI]: 2.13, 6.19, P<0.001), high HCT-CI (HR 1.71, 95% CI: 1.04, 2.79, P<0.05), high CIBMTR cytogenetic risk (HR 2.97, 95% CI: 1.52, 5.77, P=0.001), and persistent morphologic disease at transplant (HR 2.61, 95% CI: 1.44, 4.74, P<0.01) variables were significantly associated with increased RR. Myeloablative conditioning (HR 0.39, 95% CI: 0.21, 0.72, P<0.01) was associated with decreased RR (Table 5).
Figure 1

Three-year Cumulative Incidence Outcomes by FLT3 Mutational Status. A) Relapse Risk, B) Non-relapse Mortality, C) Disease-free Survival, D) Overall Survival Solid line: FLT3 mutation positive; Dashed line: FLT3 mutation negative

Table 3

Univariate Analysis Results

CharacteristicsN3-year RRP1-year aGVHD (Grades 2–4)P1-year cGVHDP3-year NRMP3-year DFSP3-year Overall SurvivalP
All FLT3 Tested 17145%33%49%16%39%45%
Age
<60 years11745%0.66431%0.78046%0.54214%0.51441%0.95746%0.544
≥60 years5444%35%53%19%37%42%
HCT-CI
Low Risk3431%0.03336%0.55354%0.39814%0.11455%0.13958%0.303
Intermediate Risk5837%37%45%27%37%42%
High Risk7956%28%49%10%34%42%
WBC Count at Diagnosis
<10 ×103/μL9143%0.31534%0.99654%0.04517%0.70740%0.42547%0.801
≥10 ×103/μL7846%33%41%16%38%41%
Karyotype at Diagnosis, CIBMTR Risk
Low40%0.0070%0.22267%0.5360%0.284100%0.001100%<0.001
Intermediate12340%32%51%15%45%49%
High2373%37%35%14%13%25%
Unknown1746%47%44%34%19%29%
Complex Cytogenetics (≥3 abnormalities) at Diagnosis
No14239%<0.00134%0.92451%0.52717%0.66944%<0.00148%<0.001
Yes2576%34%37%13%11%28%
Molecular Markers Prior to Transplant
FLT3
Negative12137%<0.00134%0.71554%0.02521%0.01241%0.06548%0.334
Positive5063%30%36%4%32%38%
NPM1
Negative10440%0.52532%0.96552%0.09518%0.58442%0.80147%0.776
Positive3244%32%39%16%40%42%
Conditioning Intensity
Reduced Intensity4453%0.13043%0.15648%0.93712%0.29335%0.47641%0.431
Myeloablative12741%29%49%17%41%46%
Use of Thymoglobulin or Alemtuzumab
No16745%0.18633%0.20548%0.49216%0.22739%0.55345%0.748
Yes40%0%67%33%67%67%
Time to Transplant (days)
≤ 18011747%0.34735%0.45949%0.49213%0.15240%0.97849%0.343
> 1805440%28%47%22%37%36%
Number of Induction Cycles Before Transplant
≤ 213443%0.18133%0.70451%0.36312%0.02046%0.00252%<0.001
> 23753%32%41%32%15%19%

FLT3 mutational status (positive vs. negative)

HCT-CI: Hematopoietic Cell Transplantation-Specific Comorbidity Index; WBC: white blood cell; CIBMTR: Center for International Blood and Marrow Transplant Research; RR: relapse risk; aGVHD: acute graft-versus-host disease; cGVHD: chronic graft-versus-host disease; NRM: non-relapse mortality; DFS: disease-free survival

Table 4

Bivariate Analysis Results

3-year RR
1-year cGVHD
3-year NRM
3-year DFS
3-year Overall Survival
CharacteristicsHazard Ratio (95% CI)PHazard Ratio (95% CI)PHazard Ratio (95% CI)PHazard Ratio (95% CI)PHazard Ratio (95% CI)P
FLT3 (Positive vs. Negative) 2.25 (1.40,3.61)<0.0010.55 (0.32,0.95)0.0310.20 (0.05,0.86)0.0311.49 (0.97,2.29)0.0661.26 (0.80,1.98)0.316
Age (≥60 vs. <60 years) 0.93 (0.57,1.52)0.7701.19 (0.76,1.85)0.4501.24 (0.55,2.81)0.6101.01 (0.65,1.55)0.9811.16 (0.74,1.82)0.507
FLT3 (Positive vs. Negative) 3.65 (2.11,6.33)<0.0010.44 (0.25,0.78)0.0050.19 (0.04,0.81)0.0252.06 (1.30,3.27)0.0021.69 (1.04,2.75)0.036
Karyotype at Diagnosis, CIBMTR Risk (High vs. Other) 4.22 (2.32,7.67)<0.0010.52 (0.23,1.19)0.1200.64 (0.19,2.20)0.4802.97 (1.72,5.12)<0.0012.72 (1.55,4.77)<0.001
FLT3 (Positive vs. Negative) 2.90 (1.68,5.02)<0.0010.69 (0.37,1.29)0.2500.20 (0.04,0.89)0.0341.75 (1.06,2.89)0.0281.37 (0.81,2.34)0.245
NPM1 (Positive vs. Negative) 0.86 (0.44,1.69)0.6600.68 (0.35,1.32)0.2501.19 (0.40,3.55)0.7600.89 (0.50,1.57)0.6820.97 (0.53,1.76)0.921
FLT3 (Positive vs. Negative) 2.25 (1.39,3.63)<0.0010.53 (0.31,0.92)0.0230.21 (0.05,0.89)0.0351.46 (0.95,2.24)0.0811.27 (0.81,2.00)0.293
Number of Induction Cycles (>2 vs. ≤2) 1.43 (0.82,2.50)0.2100.65 (0.34,1.23)0.1902.30 (1.02,5.21)0.0451.99 (1.27,3.12)0.0032.29 (1.44,3.65)<0.001
FLT3 (Positive vs. Negative) 2.23 (1.39,3.56)<0.0010.55 (0.32,0.94)0.0280.19 (0.04,0.84)0.0291.49 (0.97,2.28)0.0671.28 (0.81,2.02)0.284
HCT-CI (High vs. Other) 1.83 (1.13,2.95)0.0131.02 (0.65,1.59)0.9300.51 (0.22,1.18)0.1201.37 (0.91,2.04)0.1301.31 (0.86,2.00)0.214
FLT3 (Positive vs. Negative) 2.32 (1.44,3.75)<0.0010.55 (0.32,0.94)0.0280.20 (0.05,0.84)0.0281.52 (0.99,2.33)0.0571.27 (0.81,1.99)0.307
Conditioning Intensity (Myeloablative vs. Reduced) 0.64 (0.39,1.04)0.0740.91 (0.57,1.46)0.7001.62 (0.63,4.16)0.3200.83 (0.53,1.28)0.3920.82 (0.52,1.30)0.393
FLT3 (Positive vs. Negative) 2.31 (1.48,3.62)<0.0010.55 (0.32,0.94)0.0290.19 (0.04,0.84)0.0291.49 (0.97,2.28)0.0691.25 (0.80,1.97)0.332
Morphologic Status (PD vs. CR) 2.09 (1.34,3.26)0.0010.65 (0.33,1.29)0.2202.22 (0.93,5.28)0.0712.65 (1.71,4.12)<0.0012.45 (1.55,3.88)<0.001

FLT3 mutational status (positive vs. negative)

CIBMTR: Center for International Blood and Marrow Transplant Research; HCT-CI: Hematopoietic Cell Transplantation-Specific Comorbidity Index; PD: persistent disease; CR: complete remission (morphologic); RR: relapse risk; cGVHD: chronic graft-versus-host disease; NRM: non-relapse mortality; DFS: disease-free survival; CI: confidence interval

Hazard ratios >1 indicate greater hazard for poor outcome (i.e., increased RR, cGVHD, and NRM and inferior DFS and overall survival)

Table 5

Multivariate Analysis Results

N=167[]3-year RR
1-year cGVHD
3-year NRM
3-year DFS
3-year Overall Survival
CharacteristicsHazard Ratio (95% CI)PHazard Ratio (95% CI)PHazard Ratio (95% CI)PHazard Ratio (95% CI)PHazard Ratio (95% CI)P
FLT3 (Positive vs. Negative) 3.63 (2.13,6.19)<0.0010.44 (0.25,0.78)0.0050.21 (0.05,0.92)0.0382.05 (1.29,3.27)0.0031.92 (1.14,3.24)0.014
Age (≥60 vs. <60) 0.64 (0.39,1.06)0.081N/AN/AN/AN/AN/AN/AN/AN/A
Karyotype at Diagnosis, CIBMTR Risk (High vs. Other) 2.97 (1.52,5.77)0.0010.52 (0.23,1.19)0.120N/AN/A2.35 (1.34,4.10)0.0031.93 (1.08,3.48)0.028
Number of Induction Cycles (>2 vs. ≤2) N/AN/AN/AN/A1.98 (0.90,4.34)0.0891.73 (1.07,2.78)0.0251.87 (1.14,3.09)0.014
HCT-CI (High vs. Other) 1.71 (1.04,2.79)0.034N/AN/A0.49 (0.21,1.14)0.098N/AN/AN/AN/A
Conditioning Intensity (Myeloablative vs. Reduced) 0.39 (0.21,0.72)0.003N/AN/AN/AN/A0.57 (0.35,0.95)0.0320.55 (0.33,0.94)0.029
Morphologic Status (PD vs. CR) 2.61 (1.44,4.74)0.002N/AN/A1.98 (0.88,4.47)0.1002.52 (1.51,4.21)<0.0012.15 (1.23,3.78)0.008

FLT3 mutational status (positive vs. negative)

CIBMTR: Center for International Blood and Marrow Transplant Research; HCT-CI: Hematopoietic Cell Transplantation-Specific Comorbidity Index; PD: persistent disease; CR: complete remission (morphologic); RR: relapse risk; cGVHD: chronic graft-versus-host disease; NRM: non-relapse mortality; DFS: disease-free survival; CI: confidence interval; N/A: not applicable (addition of characteristic did not improve fit of the multivariate model)

Hazard ratios >1 indicate greater hazard for poor outcome (i.e., increased RR, cGVHD, and NRM and inferior DFS and overall survival)

Data were available for all characteristics included in the multivariate model for 167 of 171 patients with FLT3 mutational status recorded.

GVHD (Acute and Chronic)

The median time to onset of grade 2−4 acute GVHD in the study population was 36 days (range: 10−180 days) and the cumulative incidence at one year after HCT was 33%, which was similar in patients with vs. without FLT3 mutation (30% vs. 34%, respectively, P=0.715). None of the other variables tested in the univariate analysis was significantly associated with 1-year acute GVHD outcomes (Table 3). We also assessed the impact of FLT3 mutational status on chronic GVHD. The median onset of chronic GVHD in the study population was 161 days (range: 52−580 days) with a cumulative incidence of 49% at one year following HCT, which was significantly lower among patients with vs. without FLT3 mutation (36% vs. 54%, P<0.05). WBC count ≥10,000/μL at diagnosis was also associated with decreased risk of chronic GVHD (41% vs. 54%, P<0.05). In the bivariate analysis, FLT3 mutation was associated with significantly lower incidence of chronic GVHD, even after adjusting for age, HCT-CI score, CIBMTR cytogenetic risk, number of induction cycles, morphologic status, and conditioning intensity (Table 4). Additionally, after incorporating all of these characteristics in the multivariate model, FLT3 mutation remained the only variable significantly associated with decreased risk of chronic GVHD (HR 0.44, 95% CI: 0.25, 0.78, P<0.01, Table 5).

Non-relapse Mortality

NRM at 3 years was significantly lower in patients with FLT3 mutation (4% vs. 21%, respectively, P<0.05, Figure 1). While time from AML diagnosis to HCT (>180 days vs. ≤180 days) did not impact the risk of NRM, patients who received >2 induction chemotherapy cycles experienced higher NRM (32% vs. 12%, respectively, P<0.05; Table 3). On bivariate testing, FLT3 mutation remained significantly associated with decreased NRM after adjusting for age, HCT-CI, CIBMTR cytogenetic risk, NPM1 status, number of induction cycles, morphologic status, and conditioning intensity (Table 4). This finding was also seen in the multivariate analysis (HR 0.21, 95% CI: 0.05, 0.92, P<0.05).

Disease-free Survival

FLT3 mutational status was associated with a trend toward inferior DFS at 3 years (FLT3 mutation: 32% vs. no FLT3 mutation: 41%, P=0.065, Figure 1). CIBMTR cytogenetic risk (high: 13% vs. intermediate: 45% vs. low: 100%, P=0.001), complex cytogenetics (≥3 abnormalities at diagnosis: 11% vs. <3 abnormalities: 44%, P<0.001), and number of induction cycles (>2 inductions: 15% vs. ≤2 inductions: 46%, P<0.01) variables at diagnosis were associated with significantly decreased DFS (Table 3). In the bivariate models, FLT3 mutation was shown to negatively impact DFS when adjusting for CIBMTR cytogenetic risk and NPM1 status variables only (Table 4). However, in the multivariate model that accounted for the interaction of multiple potential confounders, FLT3 mutation (HR 2.05, 95% CI: 1.29, 3.27, P<0.01), high CIBMTR cytogenetic risk (HR 2.35, 95% CI: 1.34, 4.10, P<0.01), >2 two induction cycles (HR 1.73, 95% CI: 1.07, 2.78, P<0.05), and persistent morphologic disease at time of transplant (HR 2.52, 95% CI: 1.51, 4.21, P<0.001) were all found to be significantly associated with inferior DFS (Table 5).

Overall survival

The 3-year overall survival was decreased among patients with vs. without FLT3 mutation, but the difference was not statistically significant (38% vs. 48%, P=0.334, Figure 1) with a median survival of 244 days (range: 57 to 2,001 days) and 368 days (range: 46 to 2,405 days), respectively. Among the other variables tested, high CIBMTR cytogenetic risk, presence of complex cytogenetics at diagnosis, and >2 induction chemotherapy cycles were each associated with significantly lower 3-year overall survival (Table 3). In the bivariate models, FLT3 mutation negatively impacted overall survival (HR 1.69, 95% CI: 1.04, 2.75, P<0.05) after adjusting for CIBMTR cytogenetic risk at diagnosis only (Table 4). However, when accounting for all potential confounders in the multivariate model, FLT3 mutation (HR 1.92, 95% CI 1.14, 3.24, P<0.05), high CIBMTR cytogenetic risk (HR 1.93, 95% CI 1.08, 3.48, P<0.05), >2 induction cycles (HR 1.87, 95% CI: 1.14, 3.09, P<0.05), and persistent morphologic disease at transplant (HR 2.15, 95% CI 1.23, 3.78, P<0.01) variables significantly decreased overall survival (Table 5). All causes of mortality are detailed in Supplemental Table S5.

DISCUSSION

In this study, we examined the frequency of FLT3 mutation in children and adults with AML who underwent allogeneic HCT at our center over a 7-year study period. Patients diagnosed before 2007 were not genetically defined at diagnosis for this mutation. Given conflicting reports,[9-31] we sought to further clarify the impact of FLT3 mutational status on HCT outcomes in a large, single institution cohort transplanted between 2008 and 2014. Consistent with the literature, FLT3 mutated patients comprised approximately 29% of our study population.[2-4] We found that FLT3 mutation was an independent factor for increased RR that translated into inferior DFS and overall survival after adjusting for potential confounding covariates. The low NRM was likely due to a higher RR, which is a competing risk for NRM. The present findings extend the observations from previous studies that have reported the outcomes of FLT3 mutational AML after allogeneic HCT (Supplemental Table S1) and substantiate the need for optimizing risk stratification of AML patients at the time of transplant. Cytogenetic characterization at diagnosis is recognized as the most powerful independent prognostic factor in AML. In recent years, risk-stratification has been refined by molecular markers, such as the FLT3 gene. Herein, our data support the importance of carefully characterizing disease-specific variables in AML patients presenting for allogeneic transplantation. Our analyses demonstrate that, in addition to FLT3 mutation, high-risk CIBMTR cytogenetics at diagnosis and persistent morphologic disease at transplant conferred an increased RR and lowered DFS and overall survival. Recently, the number of induction courses required to achieve morphologic remission in AML was shown to provide independent prognostic information for outcome after transplant.[38] We therefore included this variable in our analyses and similarly demonstrated that patients who received greater than two induction cycles experienced decreased DFS and overall survival. These data provide insight into disease-specific factors that independently contribute to relapse and highlight the need to identify allogeneic HCT candidates for risk-stratified treatment recommendations. For example, patients who are destined to relapse early after allogeneic HCT (FLT3 mutation, high CIBMTR risk cytogenetics, and/or persistent morphologic disease) may benefit from post-transplant interventions or other non-transplant clinical trial options. Unfortunately, there remains a paucity of prospective, multi-center studies that have rigorously evaluated such strategies, such as donor leukocyte infusions,[39] targeted therapies,[40] hypomethylating agents,[41] or other immune checkpoint blockade therapy.[42] The optimal timing, dosing, duration, and type of strategy in the post-transplant setting are unknown and need to be explored. Interestingly, FLT3 mutated patients with intermediate CIBMTR cytogenetic risk experienced increased RR similar to those with high CIBMTR cytogenetic risk (data not shown). However, DFS and overall survival were not as comparably reduced as seen in the high CIBMTR cytogenetic risk group. These data again highlight the potential role for implementing pre-emptive FLT3-targeted therapies to reduce the relapse hazard in these molecularly defined patients. Similar to recent studies examining the influence of age on allogeneic HCT outcomes,[50] our study did not indicate that patients >60 years of age experienced increased relapse or decreased survival. It is possible that our data represent selection of older individuals with greater fitness who met institutional criteria for allogeneic HCT or treatment according to a clinical trial. Nonetheless, we further explored other patient-specific comorbid conditions as measured by the HCT-CI[33] to help estimate outcomes following transplant and found that high HCT-CI was associated with increased RR. Although not statistically significant, this resulted in a trend toward inferior DFS and overall survival. Allogeneic HCT is increasingly offered to older patients, and identifying suitable patients could improve the effectiveness of transplantation. In our study, myeloablative conditioning was associated with lower RR and increased DFS and overall survival, suggesting a potentially protective effect in this population. It is possible that a subset of chronologically older age individuals would benefit from and tolerate increased intensity regimens. Nonetheless, we recognize that further work is needed to confirm our observations. We recognize the limitation of our single-center, retrospective cohort study. Nonetheless, allogeneic HCT is increasingly a preferred treatment option for FLT3 mutational AML patients, particularly with increased availability of donors and use of reduced intensity conditioning regimens, and such studies provide direction for well-designed prospective clinical trials. There is ongoing need to develop novel, preemptive post-transplant strategies in the setting of clinical research, particularly for high-risk AML, to help address malignant relapse.[52] Our study supports the recognition of FLT3 mutation as an independent marker for high-risk disease and highlights the importance of carefully examining disease, patient, and transplant-specific variables, collectively, to identify suitable allogeneic HCT candidates and inform post-transplant expectations. Furthermore, minimal residual disease monitoring has been increasingly recognized as a source of additional valuable prognostic information that complements molecular and cytogenetic risk,[53] and combined utilization of these factors may prove crucial to optimal prognostication. Strengths of our study include transplant practices in the current era (2008 to 2014) with detailed patient, disease, and transplant-specific variables. To our knowledge, based on the literature review (detailed in Supplemental Table S1), the present analysis represents one of the largest study populations with known FLT3 mutational status that have undergone allogeneic HCT with the best available donor (related or unrelated) after either myeloablative or reduced intensity conditioning. At the same time, we recognize that the heterogeneity of this patient population is also a limitation, precluding us from forming generalized conclusions, such as in pediatric patients. We performed a sub-group analysis of children <18 years of age, and although the sample size was small, we observed similar trends in outcomes between the overall study population and pediatric patients (data not shown). We attempted to control for potential confounding covariates by performing both bivariate and multivariate analyses. Clearly, future studies are needed with larger populations from multi-center collaborations to confirm the observations herein. In summary, the key finding of this study is the adverse outcomes associated with FLT3 mutant AML. The data herein highlight the early kinetics of malignant relapse occurring within the first 100 days of transplanted patients. Therefore, it is desirable to develop novel post-transplant strategies that could effectively impact early relapse hazards.
  48 in total

1.  Improved outcome after stem-cell transplantation in FLT3/ITD-positive AML.

Authors:  Martin Bornhäuser; Thomas Illmer; Markus Schaich; Silke Soucek; Gerhard Ehninger; Christian Thiede
Journal:  Blood       Date:  2007-03-01       Impact factor: 22.113

2.  Prognostic implication of gene mutations on overall survival in the adult acute myeloid leukemia patients receiving or not receiving allogeneic hematopoietic stem cell transplantations.

Authors:  Sheng-Chieh Chou; Jih-Luh Tang; Hsin-An Hou; Wen-Chien Chou; Fu-Chang Hu; Chien-Yuan Chen; Ming Yao; Bor-Sheng Ko; Shang-Yi Huang; Woei Tsay; Yao-Chang Chen; Hwei-Fang Tien
Journal:  Leuk Res       Date:  2014-08-24       Impact factor: 3.156

3.  Synergistic cytotoxicity of sorafenib with busulfan and nucleoside analogs in human FMS-like tyrosine kinase 3 internal tandem duplications-positive acute myeloid leukemia cells.

Authors:  Guiyun Song; Benigno C Valdez; Yang Li; Yan Liu; Richard E Champlin; Borje S Andersson
Journal:  Biol Blood Marrow Transplant       Date:  2014-08-09       Impact factor: 5.742

4.  Treatment of FLT3-ITD-positive acute myeloid leukemia relapsing after allogeneic stem cell transplantation with sorafenib.

Authors:  Manish Sharma; Farhad Ravandi; Ulas Darda Bayraktar; Alexandre Chiattone; Qaiser Bashir; Sergio Giralt; Julianne Chen; Muzaffar Qazilbash; Partow Kebriaei; Marina Konopleva; Michael Andreeff; Jorge Cortes; Deborah McCue; Hagop Kantarjian; Richard E Champlin; Marcos de Lima
Journal:  Biol Blood Marrow Transplant       Date:  2011-07-20       Impact factor: 5.742

5.  Number of courses of induction therapy independently predicts outcome after allogeneic transplantation for acute myeloid leukemia in first morphological remission.

Authors:  Roland B Walter; Brenda M Sandmaier; Barry E Storer; Colin D Godwin; Sarah A Buckley; John M Pagel; Mohamed L Sorror; H Joachim Deeg; Rainer Storb; Frederick R Appelbaum
Journal:  Biol Blood Marrow Transplant       Date:  2014-09-30       Impact factor: 5.742

6.  Influence of age on outcome after allogeneic hematopoietic cell transplantation: a single center study in patients aged ⩾60.

Authors:  B Federmann; C Faul; C Meisner; W Vogel; L Kanz; W A Bethge
Journal:  Bone Marrow Transplant       Date:  2015-01-19       Impact factor: 5.483

7.  Prognostic significance of nucleophosmin mutations and FLT3 internal tandem duplication in adult patients with cytogenetically normal acute myeloid leukemia.

Authors:  Yeo-Kyeoung Kim; Hee-Nam Kim; Se Ryeon Lee; Jae-Sook Ahn; Deok-Hwan Yang; Je-Jung Lee; Il-Kwon Lee; Myung-Geun Shin; Hyeoung-Joon Kim
Journal:  Korean J Hematol       Date:  2010-03-31

8.  Favorable outcome of patients with acute myeloid leukemia harboring a low-allelic burden FLT3-ITD mutation and concomitant NPM1 mutation: relevance to post-remission therapy.

Authors:  Marta Pratcorona; Salut Brunet; Josep Nomdedéu; Josep Maria Ribera; Mar Tormo; Rafael Duarte; Lourdes Escoda; Ramon Guàrdia; M Paz Queipo de Llano; Olga Salamero; Joan Bargay; Carmen Pedro; Josep Maria Martí; Montserrat Torrebadell; Marina Díaz-Beyá; Mireia Camós; Dolors Colomer; Montserrat Hoyos; Jorge Sierra; Jordi Esteve
Journal:  Blood       Date:  2013-02-01       Impact factor: 22.113

Review 9.  The evolving role of FLT3 inhibitors in acute myeloid leukemia: quizartinib and beyond.

Authors:  Seth A Wander; Mark J Levis; Amir T Fathi
Journal:  Ther Adv Hematol       Date:  2014-06

Review 10.  Allogeneic hematopoietic cell transplantation for acute myeloid leukemia.

Authors:  Paresh Vyas; Frederick R Appelbaum; Charles Craddock
Journal:  Biol Blood Marrow Transplant       Date:  2014-11-13       Impact factor: 5.742

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  12 in total

1.  Allogeneic transplant for FLT3-ITD+ AML: room for improvement.

Authors:  A E Perl; S M Luger
Journal:  Bone Marrow Transplant       Date:  2016-03-14       Impact factor: 5.483

2.  Relapse risk and survival in patients with FLT3 mutated acute myeloid leukemia undergoing stem cell transplantation.

Authors:  Sameh Gaballa; Rima Saliba; Betul Oran; Jonathan E Brammer; Julianne Chen; Gabriela Rondon; Amin M Alousi; Partow Kebriaei; David Marin; Uday R Popat; Borje S Andersson; Elizabeth J Shpall; Elias Jabbour; Naval Daver; Michael Andreeff; Farhad Ravandi; Jorge Cortes; Keyur Patel; Richard E Champlin; Stefan O Ciurea
Journal:  Am J Hematol       Date:  2017-02-13       Impact factor: 10.047

3.  Adverse impact of a high allelic burden FLT3-ITD mutation on allogeneic hematopoietic stem cell transplantation in patients with cytogenetically normal AML.

Authors:  Li Wan; Shuqi Ding; Mimi Xu; Kangkang Lv; Yuanyuan Du; Depei Wu; Mingzhu Xu; Yuejun Liu
Journal:  Int J Hematol       Date:  2022-07-20       Impact factor: 2.319

4.  Hypomethylating Agents and FLT3 Inhibitors As Maintenance Treatment for Acute Myeloid Leukemia and Myelodysplastic Syndrome After Allogeneic Hematopoietic Stem Cell Transplantation-A Systematic Review and Meta-Analysis.

Authors:  Jan Philipp Bewersdorf; Cecily Allen; Abu-Sayeef Mirza; Alyssa A Grimshaw; Smith Giri; Nikolai A Podoltsev; Lohith Gowda; Christina Cho; Martin S Tallman; Amer M Zeidan; Maximilian Stahl
Journal:  Transplant Cell Ther       Date:  2021-09-20

Review 5.  FLT3 Inhibitors in Acute Myeloid Leukemia: Current Status and Future Directions.

Authors:  Maria Larrosa-Garcia; Maria R Baer
Journal:  Mol Cancer Ther       Date:  2017-06       Impact factor: 6.261

6.  Does FLT3 mutation impact survival after hematopoietic stem cell transplantation for acute myeloid leukemia? A Center for International Blood and Marrow Transplant Research (CIBMTR) analysis.

Authors:  Abhinav Deol; Salyka Sengsayadeth; Kwang Woo Ahn; Hai-Lin Wang; Mahmoud Aljurf; Joseph Harry Antin; Minoo Battiwalla; Martin Bornhauser; Jean-Yves Cahn; Bruce Camitta; Yi-Bin Chen; Corey S Cutler; Robert Peter Gale; Siddhartha Ganguly; Mehdi Hamadani; Yoshihiro Inamoto; Madan Jagasia; Rammurti Kamble; John Koreth; Hillard M Lazarus; Jane Liesveld; Mark R Litzow; David I Marks; Taiga Nishihori; Richard F Olsson; Ran Reshef; Jacob M Rowe; Ayman A Saad; Mitchell Sabloff; Harry C Schouten; Thomas C Shea; Robert J Soiffer; Geoffrey L Uy; Edmond K Waller; Peter H Wiernik; Baldeep Wirk; Ann E Woolfrey; Donald Bunjes; Steven Devine; Marcos de Lima; Brenda M Sandmaier; Dan Weisdorf; Hanna Jean Khoury; Wael Saber
Journal:  Cancer       Date:  2016-06-17       Impact factor: 6.860

Review 7.  The role of FLT3 inhibitors as maintenance therapy following hematopoietic stem cell transplant.

Authors:  Grace Xiuqing Li; Lan Wang; Bassam Yaghmour; Giridharan Ramsingh; George Yaghmour
Journal:  Leuk Res Rep       Date:  2018-07-19

8.  [Effect of NCCN (2015) risk stratification on prognosis of patients with acute myeloid leukemia after allogeneic hematopoietic stem cell transplantation].

Authors:  Y Lu; T Wu; Y L Zhao; X Y Cao; D Y Liu; J P Zhang; M Xiong; J R Zhou; R J Sun; Z J Wei; H Wang; H X Liu; T Wang; C R Tong; S Q Ji; D P Lu
Journal:  Zhonghua Xue Ye Xue Za Zhi       Date:  2017-01-14

9.  Incubation of Immune Cell Grafts With MAX.16H5 IgG1 Anti-Human CD4 Antibody Prolonged Survival After Hematopoietic Stem Cell Transplantation in a Mouse Model for Fms Like Tyrosine Kinase 3 Positive Acute Myeloid Leukemia.

Authors:  Nadja Hilger; Claudia Mueller; Lilly Stahl; Anne M Mueller; Bianca Zoennchen; Sarah Dluczek; Christoph Halbich; Claudia Wickenhauser; Dennis Gerloff; Alexander A Wurm; Gerhard Behre; Anna Kretschmer; Stephan Fricke
Journal:  Front Immunol       Date:  2018-10-22       Impact factor: 7.561

10.  Syngeneic hematopoietic stem cell transplantation for acute myeloid leukemia: a propensity score-matched analysis.

Authors:  Shuhei Kurosawa; Shohei Mizuno; Yasuyuki Arai; Masayoshi Masuko; Junya Kanda; Kentaro Kohno; Daishi Onai; Takahiro Fukuda; Yukiyasu Ozawa; Yuta Katayama; Masatsugu Tanaka; Kazuhiro Ikegame; Naoyuki Uchida; Tetsuya Eto; Shuichi Ota; Junji Tanaka; Tatsuo Ichinohe; Yoshiko Atsuta; Masamitsu Yanada
Journal:  Blood Cancer J       Date:  2021-09-24       Impact factor: 11.037

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