Literature DB >> 30112273

Detection of KIT mutations in core binding factor acute myeloid leukemia.

Passant Badr1, Ghada M Elsayed2, Dalia Negm Eldin3, Bahia Y Riad4, Nayera Hamdy2.   

Abstract

We have investigated the frequency and the effect of KIT mutations on the outcome of patients with CBF-AML. 69 patients (34 pediatrics and 35 adults) with CBF-AML were enrolled in the study. The frequency of KIT mutations was higher in adults compared to pediatrics (22.9% and 14.7%, p = 0.38) respectively. Leukocytosis ≥ 20 × 109 /L was significantly associated with pediatrics compared to adults. t(8;21)(q22;22) was significantly associated with thrombocytopenia in adults. We conclude that no significant difference is found between KIT mutated and unmutated CBF-AML in adults and pediatrics. Children with CBF-AML present with leukocytosis. t(8;21) is associated with thrombocytopenia.

Entities:  

Keywords:  CBF-AML; CBF-AML, core binding factor AML; ELN, European Leukemia Network; FLT-3 mutations; FLT-3-ITD, FLT3 internal tandem duplication; HRM analysis; HRM, High resolution melting curve analysis; KIT mutations; NCCN, National comprehensive cancer network; PCR-RFLP, Polymerase chain reaction restriction fragment length polymorphism

Year:  2018        PMID: 30112273      PMCID: PMC6092444          DOI: 10.1016/j.lrr.2018.06.004

Source DB:  PubMed          Journal:  Leuk Res Rep        ISSN: 2213-0489


Introduction

Core binding factor acute myeloid leukemia (CBF-AML) represents 4–12% of all AML, 15% of adults and 25–30% of pediatrics. Patients with CBF-AML are characterized with high complete remission (CR) rates (86–88%), however, 30–50% of patients relapse, and the 5-year survival is only 50% [1]. Mutations in the KIT gene are the most common (15–45%) in CBF-AML. The KIT gene is located on, chromosome band 4q11-12 and encodes a 145-kDa transmembrane glycoprotein that is a member of the type III tyrosine kinase family. Binding of stem cell factor (KIT ligand) to the KIT receptor activates downstream signaling pathways important for cell proliferation, differentiation, and survival [2]. KIT mutations result in ligand- independent activation and most commonly affects the extracellular portion of the receptor (exon 8), and the tyrosine kinase domain (exon 17). Mutations affecting the juxta-membrane domain (exon 10 and 11) are less common KIT mutations have been associated with poor outcome in CBF-AML [3]. The national comprehensive cancer network (NCCN) guidelines have included KIT mutations as a prognostic marker that can change CBF-AML from favorable to intermediate risk group [4]. In contrast, the European Leukemia Net did not add KIT mutations in the routine workup for patients with CBF-AML Unlike the cytogenetic classification, the outcome of CBF-AML is heterogeneous [5]. The aims of this work were to analyze the different clinical and prognostic characteristics of CBF-AML and to investigate the prevalence and prognostic effect of KIT mutations (exon 8 and exon 17) on the outcome of this group of AML patients.

Materials and methods

Patients

Patients were recruited in a period of two years, retrospectively and prospectively from June 2014 to June 2016. 765 patients were diagnosed with AML, 234 pediatrics and 531 adults. A total of 69 patients (34 pediatrics and 35 adults) were diagnosed with CBF AML and included in this study. Sub classification of AML according to French-American-British (FAB) subtypes was based on morphology, cytochemistry (chloroacetate esterase and myeloperoxidase) and immunophenotyping. The diagnosis CBF-AML was confirmed by the detection of inv (16)(p13q22) or t(8,21) (q22;q22)/RUNX1-RUNX1T1 fusion genes using reverse transcriptase–polymerase chain reaction (RT-PCR). All patients gave informed consent and the study was approved by the Institutional Review Board (IRB), (201516028.4) of the National Cancer Institute (NCI), Egypt. All patients received the 3 and 7 induction chemotherapy at the NCI, induction chemotherapy consisted of Adriamycin 30 mg/m2 for 3 days and ARAC 100 mg/m2 by continuous infusion for 7 days, after complete remission high-dose cytarabine 3 g/m2 IV over 3 h every 12 h on days 1, 3, and 5 for four cycles was given for consolidation (5). Achievement of CR was defined by the detection of less than 5% blasts in normocellular BM. Overall survival (OS) was measured for all living patients from the date of entry to the date of death or last time follow up. Disease free survival (DFS) was calculated from the date of CR to the date of relapse in the first CR.

Detection of C-KIT mutations

DNA extraction: Genomic DNA was extracted from BM samples using GeneJET Whole Blood Genomic DNA Purification Mini Kit(#K0781- Thermo Scientific). DNA quantity and quality were checked using Thermo Scientific NanoDrop™ 1000 Spectrophotometer.

HRM analysis for KIT exon 8 mutations

HRM analysis was used for the analysis of KIT exon 8 mutations. All samples were tested in triplicates on 7500 fast real-time pcr-Applied Biosystems. Positive and negative controls were included in each run. Twenty nanograms of DNA were amplified in 20 µl reaction volume containing 0.5 µM forward and reverse primers designed by [6] and 10 µl of MeltDoctor™ HRM (Applied Biosystems) master Mix with its thermal profile for 45 cycles with a ramp of 0.02 °C/ S. The expected PCR product was 219 bp. Upon completion of the run, data were analyzed as fluorescence versus temperature graphs (temperature shifting, difference plots, and derivative melting curves) using High Resolution Melting (HRM) Software version 2.0 (#4,397,808).

PCR amplification and cycle sequencing for KIT exon 8 mutations

Samples positive for exon 8 mutations with same primers were confirmed by sequencing. PCR products were purified using QIAquick PCR Purification Kit (#28,104). Cycle sequencing was performed using BigDye™ Terminator v3.1 Cycle Sequencing Kit and the sequencing product was purified using Centri-Sep™ Spin Columns (#401,762) according to manufacturer instructions. Sequencing products were then resuspended with 10 µl of Hi-Di™ Formamide (#4,311,320), incubated at 95C for 5 minutes and then chilled on ice for 5 min. Bidirectional sequencing was performed on the Applied Biosystems™ 3500 Genetic Analyzer. Sequencing traces were analyzed by Applied Biosystems SeqScape Software v2.5. The analysis of data was done according to Gene Bank accession number (U63834.1).

Fragment analysis for KIT exon 8 mutations

Fragment analysis was used to help in the analysis of indel mutations of KIT exon 8. PCR reaction was performed as previously described by [7] using a Fluorescently labeled forward primer (FAM). Next, these PCR products were added to 7 μL of Hi-Di™ Formamide (#4,311,320) and 2 μL of GeneScan™ 500 LIZ™ dye Size Standard (#4,322,682).The mixture was then injected to Applied Biosystems™ 3500 Genetic Analyzer, analysis and verification of fragments size done using GeneMapper® Software Version 4.1 Microsatellite Analysis.

PCR-RFLP for KIT exon 17 mutations (D816)

KIT exon 17 was amplified as previously described by [8]. PCR products were digested by AatII (10 U/µL) (#ER0991) at 37 °C overnight. Heterozygous samples create 106, 85 and 21 bp fragments, while wild samples create 85 and 21-bp fragments.

Statistical analysis

Descriptive statistics were calculated for all variables. Patient follow-up was updated on April 1, 2017. Disease-free survival (DFS) and relapse-free survival (RFS) were estimated from the date of complete remission. Differences in proportions were assessed using the v2 or Fisher exact statistic. Survival was plotted with Kaplan–Meier curves and the data for the various groups were compared with independent T- test, [9]. All survival estimates were reported 1 standard error (SE). All P values were 2-sided, P value less than 0.05 was considered statistically significant. Statistical analysis was performed using SPSS version 24.0 software statistical package (SPSS, Chicago, IL, USA).

Results

Comparison of initial clinical and laboratory characteristics of CBF-AML between pediatrics and adults patient's groups

Mean age was (7.1 ± 4.7 vs 32.1 ± 10.2) years for pediatrics and adults respectively, and median was (6.0 (1.0–16) vs 30.0 (19–59)) years for pediatrics and adults respectively. The prevalence of CBF-AML was 69/765 (9%), (14.9%, 6.36%) for pediatrics and adults respectively. t(8;21)(q22;22) was detected in (64.7% vs 62.9%, p = 0.87) for pediatrics and adults respectively. Inv(16) (p13q22) was detected in (35.3% vs 37.1%, p = 0.87) for pediatrics and adults respectively. Leukocytosis ≥ 20 × 109 /L was significantly associated with pediatrics compared to adults, (64.7% vs 40%, p = 0.04). The frequency of FLT3-ITD and FLT-3 TKD mutations was (2.9% vs 5.7%, p = 0.57, 2.9% vs 8.6%, p = 0.3) for pediatrics and adults respectively. 26 pediatrics and 26 adults were followed till the end of induction chemotherapy, 61.5% of pediatrics and 69.2% of adults achieved complete remission with no significant difference, p = 0.771. The total death rate was 31(44.9%). Four (12.9%) patients died before starting chemotherapy from disease progression and 12 (38.7%) patients died during induction chemotherapy. Death was contributed mainly to infections and febrile neutropenia. OS at 6 months was significantly higher in adults compared to pediatrics (63.3% vs 35.7%, p = 0.043).

Comparison of initial clinical and laboratory characteristics between inv (16) and t(8;21) in CBF AML

Inv (16) (p13q22) was significantly associated with FAB subtypes M4 + M5 and t(8;21))(q22;22) was significantly associated with M1 + M2 in pediatrics and adults (p < 0.001, p = 0.004) respectively. In pediatrics, inv (16) (p13q22) CBF-AML was associated with hepatomegaly, splenomegaly and lymphadenopathy compared to t (8;21)(q22;22) (41.7% vs 22.7%, p = 0.27; 25% vs 13.6%, p = 0.64; 8.3%vs 4.5%, p = 1) respectively. inv (16) (p13q22) positive CBF-AML was also associated with anemia (HGB ≤ 8 g/dl) and leukocytosis ≥ 20 × 109/L compared to t (8;21)(q22;22) (91.7% vs 59.1%, p = 0.06; 83.8% vs 54.5%, p = 0.14) respectively. In adults, t(8;21)(q22;22) was significantly associated with thrombocytopenia ≤ 20 × 109/L compared to inv (16) (50% vs 7.7%, p = 0.01). However, t(8;21)(q22;22) was significantly associated anemia (HGB ≤ 8 g/dl) with compared to inv (16) (p13q22) (72.7% vs 30.8%, p = 0.03) respectively. No significant difference was found in response to induction chemotherapy was found between in inv 16 compared to t(8;21) in pediatrics and adults (p = 0.18, p = 0.19 respectively, Table 1.
Table 1

Initial patients characteristics for t (8;21) and inv(16) CBF AML patients.

CBF AMLPediatric CBF-AML N = 34(%)
p-valueAdult CBF-AML N = 35(%)
p value
inv 16 12 (35.4)t(8;21) 22(64.7)Inv 16 13(37)t(8;21) 22(62.8)
Age
Mean ± SD5.4 ± 5.38.01 ± 4.30.13234.9 ± 12.730.5 ± 8.30.221
Gender
Males9(42.9)12(57.1)0.2929(47.4)10(52.6)
females3(23.1)10(76.9)4(25)12(75)0.29
Hepatomegaly5(41.7)5 (22.7)0.274(30.8)7(31.8)1
Splenomegaly3 (25)3 (13.6)0.6414(30.8)5(22.7)0.698
Lymphadenopathy1(8.3)1(4.5)12(15.4)1(4.5)0.541
FLT3-ITD positive01(4.5)102(9.1)0.519
FLT3-TKD positive1(100)00.351(7.7))2(9.1)1
KIT mutations
Wild10(83.3)19(86.4)11(84.6)16(72.7)
mutants2(16.7)3(13.6)12(15.4)6(27.3)0.68
FAB subtypes
M1 + M22(16.7)19(86.4)4(30.8)18(81.8)
M4 + M510(83.3)3(13.6)<0.0019(69.2)4(18.2)0.004
TLC
 < 20 × 109 /L2(16.7)10(54.5)6(46.2)15(68.2)
 ≥ 20 × 109/L10(83.8)12(54.5)0.147(53.8)7(31.8)0.288
Platelets
 ≤ 20 × 109 /L5(41.7)5(22.7)1(7.7)11(50)
 > 20 × 109/L7(58.3)17(77.3)0.27112(92.3)11(50)0.01
HGB
 ≤ 8 g/dl11(91.7))13(59.1)4(30.8)16(72.7)
 > 8 g/dl1(8.3)9(40.9)0.069(69.2)6(27.3)0.03
BM blasts
Mean ± SD44.7 ± 13.954.9 ± 22.70.11759.3 ± 25.849.6 ± 22.40.276
PB blasts
Mean ± SD32.9 ± 16.337.3 ± 19.40.49047.3 ± 30.231.6 ± 17.20.103
Reponses to induction chemotherapy
CR3(37.5)13(72.2)4(50)14(77.8)
RD5(62.5)5(27.8)0.184(50)4(22.2)0.197
OS
6 months (%)39.331.93775
median0.82.50.772--0.91

Data are presented as n (%). FAB: French-American-British classification, FLT3 ITD: Fms-like Tyrosine Kinase Internal Tandem Duplication, FLT3 TKD: Fms-like Tyrosine Kinase Tyrosine Kinase Domain, HGB: Hemoglobin, PLT: Platelets count, TLC: Total Leukocyte Count, PB Blast: Peripheral Blood Blast, BM Blast:Bone Marrow Blast. CR: Complete Remission, RD: Resistant Disease, OS: Overall survival.

Initial patients characteristics for t (8;21) and inv(16) CBF AML patients. Data are presented as n (%). FAB: French-American-British classification, FLT3 ITD: Fms-like Tyrosine Kinase Internal Tandem Duplication, FLT3 TKD: Fms-like Tyrosine Kinase Tyrosine Kinase Domain, HGB: Hemoglobin, PLT: Platelets count, TLC: Total Leukocyte Count, PB Blast: Peripheral Blood Blast, BM Blast:Bone Marrow Blast. CR: Complete Remission, RD: Resistant Disease, OS: Overall survival.

Effect of the initial clinical and laboratory characteristics on OS of CBF-AML

When we investigated the effect of different pretreatment clinical and laboratory parameters on the OS at 12 month period for adults and 6 months for pediatric CBF-AML, because the number of pediatric cases within the strata was too small at one year to be presented in the results. We have found that thrombocytopenia ≤ 20 × 109 /L had a significantly adverse effect on OS in adults (p = 0.04) CBF-AML, Table 2.
Table 2

The association between different prognostic factors and OS at 6 and 12 months in CBF-AML.

Prognostic factorsPediatrics N = 34
Adults N = 34*
N6 monthsMedianN6 months12 monthsMedian
t(8;21) (q22.q22)
Negative1239.30.81337.037.01.6
Positive2231.92.52175.062.9-
p value0.8440.17
FAB
M1 = M22128.72.52176.562.6
M4 + M41349.20.81343.343.35
p value0.770.09
Inv 16
Negative2231.92.52175.062.9
Positive1239.30.81337.037.0
p value0.770.09
Platelets
 ≤ 20 × 109 /L1054.061281.881.8
 > 20 × 109/L2430.02.32251.839.38.7
p value0.70.047
TLC
 < 20 × 109 /L1245.032168.461.9
 ≥ 20 × 109/L2232.02.31354.944.08.7
p value0.4150.211
HGB
 ≤ 8 g/dl2441.231970.155.2-
 > 8 g/dl1025.92.31555.355.3-
p value0.2350.758
Hepatomegaly
Negative2424.11.92369.169.8
Positive1066.76.01151.140.9
p value0.100.262
Splenomegaly
Negative2829.12.32569.353.0-
Positive660-959.359.3-
p value0.1830.832

Data are presented as n (%). FAB: French-American-British classification,FLT3 ITD: Fms-like Tyrosine Kinase Internal Tandem Duplication, FLT3 TKD: Fms-like Tyrosine Kinase Tyrosine Kinase Domain, HGB: Hemoglobin, PLT: Platelets count, TLC: Total Leukocyte Count, PB Blast: Peripheral Blood Blast, BM Bone marrow blasts. *Data are presented for 34 adult patients only.

The association between different prognostic factors and OS at 6 and 12 months in CBF-AML. Data are presented as n (%). FAB: French-American-British classification,FLT3 ITD: Fms-like Tyrosine Kinase Internal Tandem Duplication, FLT3 TKD: Fms-like Tyrosine Kinase Tyrosine Kinase Domain, HGB: Hemoglobin, PLT: Platelets count, TLC: Total Leukocyte Count, PB Blast: Peripheral Blood Blast, BM Bone marrow blasts. *Data are presented for 34 adult patients only.

Prevalence and types of KIT mutations

The frequency of KIT mutations was higher in adults compared to pediatrics (22.9% and 14.7%, p = 0.38) respectively. KIT exon 8 mutations were positive (11.8% and 8.6%, p = 0.66) for pediatrics and adults respectively. Melting curve analysis revealed a single peak with a mean Tm at (80ͦC) for wild cases, and a clear difference between wild and mutant cases for KIT exon 8 mutations. Fragment analysis and sequencing confirmed the insertion/deletion mutations. Sequencing confirmed positive cases, Table 3. KIT exon 17 was positive in (2.9% and 14.3%, p = 0.095) pediatrics and adults respectively.
Table 3

Sequencing analysis of KIT exon8 mutations.

Patient IDBlast percentageCytogeneticsFragment analysisNucleotide changeAmino acid change
6575t(8:21)Deletion 6 basesDel GACTTACGA ins TGCL416_D419
267Inv (16,16)Deletion 6 bases1346_1351delACTTACT417_Y418
5320t(8:21)Insertion 5 bp1352delinsTTCCTR419Ffs*5
4050Inv (16,16)Deletion 4 bp1350_1353delACGAY418Sfs *4
2379Inv (16,16)Deletion 6 bpDel ACGACAGGCTCG insGCGCY418_V422
1930t(8:21)Deletion 3 bp1350_1352delACGD419
3162t(8:21)Insertion 5 bp1351_1356delinsTTCCTD419Sfs*5

Fs: frame shift mutation.

Sequencing analysis of KIT exon8 mutations. Fs: frame shift mutation.

Clinical and laboratory characteristics for KIT mutations

We have compared the initial laboratory and clinical characteristics for patients positive and negative for KIT mutations and found no significant difference was found between KIT mutated and unmutated CBF-AML in adults and pediatrics, Table 4.
Table 4

Association of KIT mutations with prognostic factors in CBF-AML.

VariablePediatrics
Adults
KIT negative N = 29KIT positive N = 5p valueKIT negative N = 27KIT positive N = 8p- value
Sex
Male: n (%)16(55.2)5(100)14(51.9)5(62.5)
Female: n (%)13(44.8)0.13213(41.8)3(37.5)0.700
FAB subtypes
M1 + M218(62.1)3(60)16(59.3)6(75)
M4 + M511(37.9)2(40)1.00011(40.7)2(25)0.683
Hepatomegaly
negative: n (%)21(72.4)3(60)20(74.1)4(50)
positive: n (%)8(27.6)2(40)0.6787(25.9)4(50)0.226
Splenomegaly
negative: n (%)24(82.8)4(80)22(81.5)4(50)
positive: n (%)5(17.2)1(20)1.0005(18.5)4(50)0.162
Lymphadenopathy
negative: n (%)27(93.1)5(100)2(7.4)1(12.5)
positive: n (%)2(6.9)1.0002(7.4)1(12.5)0.553
t(8:21)
t(8:21) negative10(34.5)2(40)11(40.7)2(25)
t(8:21) positive19(65.5)3(60)1.00016(59.3)6(75)0.680
Inv (16)
Inv16 wild19(65.5)3(60)16(59.3)6(75)
Inv 16 positive10(34.5)2(40)1.00011(40.7)2(25)0.680
FLT3- ITD
FLT3 ITD wild28(69.6)5(100)25(92.6)8(100)
FLT3 ITD mutant1(3.4)01.0002(7.4)01.000
FT3- TKD
FLT3 TKD wild28(69.6)5(100)25(92.6)7(87.5)
FLT3 TKD mutant1(3.4)01.0002(7.4)1(12.5)0.553
HGB (g/dL)
 ≤ 8 g/dl21(72.4)3(60)16(59.3)4(50)
 > 8 g/dl10(34.5)2(40)0.61811(40.7)4(50)0.700
PLT (x109/L)
 < = 20 × 109/L8(27.6)2(40)8(29.6)4(50)
 > 20 × 109/L8(27.6)2(40)0.6188(29.6)4(50)0.402
TLC (x109/L)
 < 20,00010(34.5)2(40)16(59.3)5(62.5)
 > 20 × 109/L19(65.5)3(60)1.00011(40.7)3(37.5)1.000
Pb Blast (%)
Mean ± SD34.483 ± 18.1343.2 ± 19.520.39238.47 ± 25.534.12 ± 17.360.558
BM Blast (%)
Mean ± SD50.65 ± 20.0355.2 ± 24.870.71551.074 ± 24.2160.62 ± 22.660.323
Response to induction chemotherapy
CR15(56.2)1(33.3)13(68.4)2(28.6)
RD8(34.8)2(66.7)1.0006(31.6)5(71.4)1.000

Data are presented as n (%). FAB: French-American-British classification, FLT3 ITD: Fms-like Tyrosine Kinase Internal Tandem Duplication, FLT3 TKD: Fms-like Tyrosine Kinase Tyrosine Kinase Domain, HGB: Hemoglobin, PLT: Platelets count, TLC: Total Leukocyte Count, PB Blast: Peripheral Blood Blast, BM Bone marrow blasts. CR: Complete Remission, RD: Resistant Disease, OS: Overall survival.

Association of KIT mutations with prognostic factors in CBF-AML. Data are presented as n (%). FAB: French-American-British classification, FLT3 ITD: Fms-like Tyrosine Kinase Internal Tandem Duplication, FLT3 TKD: Fms-like Tyrosine Kinase Tyrosine Kinase Domain, HGB: Hemoglobin, PLT: Platelets count, TLC: Total Leukocyte Count, PB Blast: Peripheral Blood Blast, BM Bone marrow blasts. CR: Complete Remission, RD: Resistant Disease, OS: Overall survival.

Discussion

In the present study, we have primarily investigated CBF-AML as one group in (34 pediatrics and 35 adults) patients for different clinical, laboratory, and secondary molecular aberrations (c-KIT and FLT-3) that might affect the patient's outcome. Then we have separated each CBF-AML into two subtypes t(8;21) and inv (16) searching for the different role of each subtypes on the clinical outcome of CBF-AML. Based on the current controversy regarding the effect of KITmutations on the prognosis of CBF-AML, we have analyzed KIT mutations status on CBF-AML as a one group because of the small number of cases. When we considered all CBF-AML patients and compared pediatrics with adult CBF-AML, leukocytosis was significantly associated with pediatrics compared to adults (64.7% vs 40%, p = 0.04) respectively, similar results were previously reported [10], [11]. FLT-3-ITD mutation is frequent in cytogenetically normal AML with adverse prognostic effect, however, it is relatively uncommon in CBF-AML with uncertain prognostic significance. In this study, the frequency of FLT-ITD mutations was low (2.9% and 5.7%) in pediatrics and adults respectively. These results were consistent with previous studies [7], [12]. In contrast, FLT-3 TKD D835 mutation has been associated with favorable prognostic effect in inv (16) positive CBF-AML [13], [14]. In this study, the frequency of FLT-3 TKD D835 mutation was (2.9% and 8.6%) for pediatrics and adults respectively and it was comparable to previous studies (6–24%) [15]. The frequency of c-KIT mutations was 14.2% and 23.5% for pediatrics and adults respectively, which was in the range reported by previous studies in pediatrics (11–41.5%) and adults (17–46%) [5], [7], [11]. Previous reports have implicated, older age, initial TLC, percentage of BM blasts (both are linked), and platelets count in influencing the CBF-AML outcome. [1], [16], [17], [18]. In this study, multivariant analysis revealed thrombocytopenia ≤ 20 × 109 /L as the only significant prognostic factor affecting OS in adults (81.8% vs 54.6%, p = 0.04). In accordance with Cancer and Leukemia Group B (CALGB), thrombocytopenia was significantly associated with t(8;21) compared to inv (16) in adults (50% vs 7.7%, p = 0.01). Lower OS was reported by the (CALGB) for CBF-AML t(8;21) positive patients presenting with thrombocytopenia [19]. Appelbaum et al. [18], found t(8;21) by itself, had a poorer outcome compared to inv (16) on OS, after adjusting for age and BM blasts. In this study, neither leukocytosis or the percentage of BM We confirm previous reports showing the significant association between, t(8;21) (q22;q22) with FAB M1 + M2 and inv (16) with M4 + M5 subtypes in both adults and pediatrics (p < 0.001, p = 0.004) [1], [15]. In addition, extramedullary manifestations (hepatosplenomegaly and lymphadenopathy) were more common with inv (16) compared to t(8;21) (q22;q22) (41.7% vs 22.7%, p = 0.64; 25% vs 13.6%, p = 0.64; 8.3%vs 4.5%, p = 1). In addition, leukocytosis was frequent with inv(16) compared to t(8;21), (83.8% vs 54.5%, p = 0.14) these finding were in accordance with previous studies [1], [15], [16], [20] In this study, KIT mutation status was not associated with gender, age, initial WBC count, platelet count, and percentage of BM blasts. Similar results were obtained by Riera et al. [10]. In contrast, [11], [13], [21] reported that KIT exon 17 was associated with leukocytosis in t(8;21) compared to inv(16). Paschka et al. [5] observed higher WBC and BM blasts in patients positive for KIT and FLT3 mutations. Previous studies have also found an association between exon 8 mutations and exon 17 D816 with inv(16) and t(8;21) respectively [3], [15], [21]. Unfortunately, we could not analyze this association because of the small number of positive cases. Few studies have addressed the prognostic effect of KIT mutations in pediatrics. In accordance with previous studies [3], [22], [23], [24], we found no significant effect for KIT mutations in pediatric CBF-AML patient's outcome. On the other hand, Shimada et al. [21] and Manara et al. [25] found an adverse effect of KIT mutation on t(8;21) subtype of CBF-AML. (both were letters to the editors). The lack of prognostic effect for KIT mutations in pediatrics compared to adults could be related to the difference in treatment protocols or to the maturation stage of leukemic progenitors at which the mutation achieve clonal dominance [3]. In contrast to pediatrics, the effect ofKIT mutations on the prognosis of adult CBF-AML was studied extensively. It was found that KIT mutations have no effect on the response to induction chemotherapy [5], [11], [26] but it has a different prognostic effects in t(8;21) and inv (16) CBF-AML subtypes. Pashka et al. [5]; Care et al. [13] found an adverse effect for KITr mutations in adults inv(16) AML. Other studies [11], [12], [2] found a prognostic effect for KIT exon 17 mutation in t(8;2) AML. Contrary to previous results, we and Riera et al. [10] found no difference between mutated and unmutated CBF-AML in adults.

Conclusion

The difference in the clinical and laboratory characteristics between inv(16) and compared t(8;21) positive AML, suggests dealing with these cytogenetic abnormalities as two separate entities and not as one group. t(8;21) is associated with thrombocytopenia, and it has an adverse effect on the OS of adult CBF-AML .inv (16) is associated with leukocytosis and extramedullary manifestations. KIT mutations are frequent in CBF-AML. FLT3 mutations are rare in CBF-AML. The prognostic effect of KIT mutations requires studying larger number of samples.

Funding

This research did not receive any specific grants from funding agencies in the public, commercial, or not-for-profit-sectors.

Disclosure

Passant Badr, Ghada M Elsayed, Dalia Negm Aldin, Bahia Y Riad, Nayera Hamdy declare that they have no conflict of interest.
  25 in total

1.  Prognostic factors and outcome of core binding factor acute myeloid leukemia patients with t(8;21) differ from those of patients with inv(16): a Cancer and Leukemia Group B study.

Authors:  Guido Marcucci; Krzysztof Mrózek; Amy S Ruppert; Kati Maharry; Jonathan E Kolitz; Joseph O Moore; Robert J Mayer; Mark J Pettenati; Bayard L Powell; Colin G Edwards; Lisa J Sterling; James W Vardiman; Charles A Schiffer; Andrew J Carroll; Richard A Larson; Clara D Bloomfield
Journal:  J Clin Oncol       Date:  2005-08-20       Impact factor: 44.544

2.  Core-binding factor acute myeloid leukemia in pediatric patients enrolled in the AIEOP AML 2002/01 trial: screening and prognostic impact of c-KIT mutations.

Authors:  E Manara; V Bisio; R Masetti; V Beqiri; R Rondelli; G Menna; C Micalizzi; N Santoro; F Locatelli; G Basso; M Pigazzi
Journal:  Leukemia       Date:  2013-11-14       Impact factor: 11.528

3.  KIT mutations, and not FLT3 internal tandem duplication, are strongly associated with a poor prognosis in pediatric acute myeloid leukemia with t(8;21): a study of the Japanese Childhood AML Cooperative Study Group.

Authors:  Akira Shimada; Tomohiko Taki; Ken Tabuchi; Akio Tawa; Keizo Horibe; Masahiro Tsuchida; Ryoji Hanada; Ichiro Tsukimoto; Yasuhide Hayashi
Journal:  Blood       Date:  2005-11-15       Impact factor: 22.113

4.  The clinical spectrum of adult acute myeloid leukaemia associated with core binding factor translocations.

Authors:  Frederick R Appelbaum; Kenneth J Kopecky; Martin S Tallman; Marilyn L Slovak; Holly M Gundacker; Haesook T Kim; Gordon W Dewald; Hagop M Kantarjian; Sherry R Pierce; Elihu H Estey
Journal:  Br J Haematol       Date:  2006-08-25       Impact factor: 6.998

Review 5.  Clinical implications of c-Kit mutations in acute myelogenous leukemia.

Authors:  Muriel Malaise; Daniel Steinbach; Selim Corbacioglu
Journal:  Curr Hematol Malig Rep       Date:  2009-04       Impact factor: 3.952

6.  Adverse prognostic significance of KIT mutations in adult acute myeloid leukemia with inv(16) and t(8;21): a Cancer and Leukemia Group B Study.

Authors:  Peter Paschka; Guido Marcucci; Amy S Ruppert; Krzysztof Mrózek; Hankui Chen; Rick A Kittles; Tamara Vukosavljevic; Danilo Perrotti; James W Vardiman; Andrew J Carroll; Jonathan E Kolitz; Richard A Larson; Clara D Bloomfield
Journal:  J Clin Oncol       Date:  2006-08-20       Impact factor: 44.544

7.  Incidence and prognostic impact of c-Kit, FLT3, and Ras gene mutations in core binding factor acute myeloid leukemia (CBF-AML).

Authors:  N Boissel; H Leroy; B Brethon; N Philippe; S de Botton; A Auvrignon; E Raffoux; T Leblanc; X Thomas; O Hermine; B Quesnel; A Baruchel; G Leverger; H Dombret; C Preudhomme
Journal:  Leukemia       Date:  2006-06       Impact factor: 11.528

8.  Prognostic impact of c-KIT mutations in core binding factor leukemias: an Italian retrospective study.

Authors:  Roberto Cairoli; Alessandro Beghini; Giovanni Grillo; Gianpaolo Nadali; Francesca Elice; Carla Barbara Ripamonti; Patrizia Colapietro; Michele Nichelatti; Laura Pezzetti; Monia Lunghi; Antonio Cuneo; Assunta Viola; Felicetto Ferrara; Mario Lazzarino; Francesco Rodeghiero; Giovanni Pizzolo; Lidia Larizza; Enrica Morra
Journal:  Blood       Date:  2005-12-29       Impact factor: 22.113

9.  Cooperating mutations of receptor tyrosine kinases and Ras genes in childhood core-binding factor acute myeloid leukemia and a comparative analysis on paired diagnosis and relapse samples.

Authors:  L-Y Shih; D-C Liang; C-F Huang; Y-T Chang; C-L Lai; T-H Lin; C-P Yang; I-J Hung; H-C Liu; T-H Jaing; L-Y Wang; T-C Yeh
Journal:  Leukemia       Date:  2007-10-25       Impact factor: 11.528

10.  Prognostic factor analysis in core-binding factor-positive acute myeloid leukemia.

Authors:  Hyun Ae Jung; Chi Hoon Maeng; Silvia Park; Seok Jin Kim; Kihyun Kim; Jun Ho Jang; Chul Won Jung
Journal:  Anticancer Res       Date:  2014-02       Impact factor: 2.480

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  6 in total

Review 1.  Core binding factor acute myeloid leukemia: Advances in the heterogeneity of KIT, FLT3, and RAS mutations (Review).

Authors:  Xi Quan; Jianchuan Deng
Journal:  Mol Clin Oncol       Date:  2020-05-25

2.  A forward selection algorithm to identify mutually exclusive alterations in cancer studies.

Authors:  Zeyu Zhang; Yaning Yang; Yinsheng Zhou; Hongyan Fang; Min Yuan; Kate Sasser; Hisham Hamadeh; Xu Steven Xu
Journal:  J Hum Genet       Date:  2020-11-11       Impact factor: 3.172

3.  Secondary cytogenetic abnormalities in core-binding factor AML harboring inv(16) vs t(8;21).

Authors:  Se Young Han; Krzysztof Mrózek; Jenna Voutsinas; Qian Wu; Elizabeth A Morgan; Hanne Vestergaard; Robert Ohgami; Philip M Kluin; Thomas Kielsgaard Kristensen; Sheeja Pullarkat; Michael Boe Møller; Ana-Iris Schiefer; Linda B Baughn; Young Kim; David Czuchlewski; Jacobien R Hilberink; Hans-Peter Horny; Tracy I George; Michelle Dolan; Nam K Ku; Cecilia Arana Yi; Vinod Pullarkat; Jessica Kohlschmidt; Amandeep Salhotra; Lori Soma; Clara D Bloomfield; Dong Chen; Wolfgang R Sperr; Guido Marcucci; Christina Cho; Cem Akin; Jason Gotlib; Sigurd Broesby-Olsen; Melissa Larson; Michael A Linden; H Joachim Deeg; Gregor Hoermann; Miguel-Angel Perales; Jason L Hornick; Mark R Litzow; Ryotaro Nakamura; Daniel Weisdorf; Gautam Borthakur; Gerwin Huls; Peter Valent; Celalettin Ustun; Cecilia C S Yeung
Journal:  Blood Adv       Date:  2021-05-25

4.  Influence of KIT mutations on prognosis of pediatric patients with core-binding factor acute myeloid leukemia: a systematic review and meta-analysis.

Authors:  Junjie Fan; Li Gao; Jing Chen; Shaoyan Hu
Journal:  Transl Pediatr       Date:  2020-12

5.  Long-Term Wi-Fi Exposure From Pre-Pubertal to Adult Age on the Spermatogonia Proliferation and Protective Effects of Edible Bird's Nest Supplementation.

Authors:  Farah Hanan Fathihah Jaffar; Khairul Osman; Chua Kien Hui; Aini Farzana Zulkefli; Siti Fatimah Ibrahim
Journal:  Front Physiol       Date:  2022-03-11       Impact factor: 4.566

Review 6.  New Perspectives in Treating Acute Myeloid Leukemia: Driving towards a Patient-Tailored Strategy.

Authors:  Fabio Andreozzi; Fulvio Massaro; Sebastian Wittnebel; Chloé Spilleboudt; Philippe Lewalle; Adriano Salaroli
Journal:  Int J Mol Sci       Date:  2022-03-31       Impact factor: 5.923

  6 in total

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