Volume 27, Issue 123 (July & August 2019)                   J Adv Med Biomed Res 2019, 27(123): 38-44 | Back to browse issues page


XML Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Arab M, Rostami S, Alizad Ghandforoush N, Nikbakht M, Mohammadi S, Samemaleki A, et al . Comparison of Delta- PCR and Conventional Fragment Analysis for the Detection of FLT3-ITD Mutations in Paired Diagnosis-Relapse Samples of Patients with Acute Myeloid Leukemia. J Adv Med Biomed Res 2019; 27 (123) :38-44
URL: http://journal.zums.ac.ir/article-1-5643-en.html
1- Dept. of Hematology and Blood Banking, Faculty of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran.
2- Hematology, Cell Therapy and Hematopoietic Stem Cell Transplantation Research Center, Tehran University of Medical Sciences, Tehran, Iran.
3- Associate Professor
4- Assistant professor , Chbahram@yahoo.com
Full-Text [PDF 611 kb]   (156098 Downloads)     |   Abstract (HTML)  (146341 Views)

The conventional testing of the FLT3-ITD mutation by fragment analysis did not detect a significant proportion (11%) of FLT3-ITD positive samples in AML patients. Delta PCR increased the sensitivity and specificity relative to the conventional method. The detection of FLT3-ITD mutation through Delta PCR is important in order to detect minor clones at diagnosis or during the monitoring of AML patients.


Full-Text:   (3497 Views)
Introduction

Despite As the most common leukemia among adults, acute myeloid leukemia (AML) is a type of cancer affectingthe myeloid line of blood cells, in whichthe rapid growth of abnormal cells causes different problems within the normal production of blood cells in the bone marrow (1-3). Nowadays, various types of genetic mutations have been found to be associated with the development and/or relapse of disease (4-6). Moreover, these genetic mutations have been shown to affect the clinical implications and survival rate among patients (7, 8). Mutations in FMS-like tyrosine kinase (FLT3), which is a member of the class III receptor tyrosine kinase family, have shown to occur in 20-30% of all AML cases (9). The main role of FLT3 as a cell-surface receptor is to maintain the survival, proliferation and differentiation of hematopoietic progenitor cells. FLT3-ITD mutations have shown to be responsible for the continuous activation of FLT3 and as a result, the uncontrolled proliferation and apoptosis resistance of the myeloid cells (10). Based on previous reports, there has been a direct correlation between the presence of ITD mutations in FLT3 and poor prognosis in AML patients (11). Furthermore, an increased rate of disease relapse and a lower rate of survival has been reported in AML cases with FLT3-ITD mutations (12-14).
Detection of FLT3-ITD mutations in AML patients may provide potential targets for treatment using novel therapeutic methods targeting FLT3 receptor tyrosine kinase inhibitors. Moreover, FLT3-ITD mutations may be considered as a useful marker for monitoring minimal residual disease (MRD) in AML patients (15).
Conventional PCR using fluorescent PCR followed by fragment analysis is the routine test used in the detection of FLT3-LTD mutations in AML cases (16). However, this method suffers from low sensitivity and specificity. Based on some reports, it is not able to discriminate minor colons of FLT3-ITD mutations in some FLT3-ITD mutated patients (17). This can be due to the burden of the disease, which is lower than the detection limit of the method. As a result, using an efficient methodology is of utmost importance for the sensitive and specific detection of mutations (18).
Delta polymerase chain reaction (PCR) assays have been shown to be more sensitive than conventional testing for the detection of FLT3-ITD mutations (19). In this study, we compared the sensitivities of the conventional method with Delta PCR testing for the detection of FLT3-ITD in paired samples from the diagnosis and relapse of AML patients. The purpose of this study was to evaluate the stability of this marker in different stages of the disease using a sensitive and specific Delta-PCR method.


 

Materials and Methods

Patients and sampling
In this study, paired diagnosis-relapse bone marrow and/or peripheral samples from 182 adult acute myeloidleukemia patients who were admitted to the Hematology, Oncology and Stem Cell Transplantation Research Center of Shariati Hospital were enrolled in our study.  Consent forms were obtained from the patients before the sample collection (ethics code: IR.TUMS.SPH.REC.1396.3051). The demographic data was collected from their medical files. For the 180 patients at diagnosis and all of the study patients at relapse, DNA was extracted from freshly isolated bone marrow/peripheral blood mononuclear cells using a standard salting-out technique.In 22 patients, the diagnosis sample DNA was extracted from bone marrow smears slides. Briefly, the blood smear was scraped off with a clean scalpel and placed in a sterilemicrofuge tube. DNA extraction was performed with a final suspension volume of 20 μL using the QIAamp DNA Mini Kit (Qiagen). Conventional fragment analysis was performed on all samples, as previously reported(16).

Delta-PCR and fragment analysis
Delta-PCR is considered to be a sensitive technique with high specificity for the detection of FLT3-ITD mutations. In this technique, 3 primers including one standard forward primer and two reverse primers (external primer labeled with 6-FAM, and internal reverse primer labeled with HEX) were used (19). In terms of locating the targets, the reverse primers differed by 19 base pairs (bp) (delta) (Table 1).

 

Table 1. Nucleotide sequences in the Delta-PCR.


In delta-PCR, the internal primer is designed in such a way as to act as a confirmation probe.  Positive ITD mutations were detected by the presence of a pair of products with a delta of 19±1 bp larger than the products from the wild type allele (160-bp green peak and 179-bp blue peak). Delta-PCR was performed according to Beierl et al. (19) with a few modifications. Briefly, PCR was performed in a total volume of 20 µl, containing 1 µl of DNA sample (20-40 ng), 0.7 µl of forward primer, 0.5 µl of each reverse primer (internal and external primers), and 10 µl of master mix (Ampliqon, Denmark). The PCR cycles included a denaturation step (95°C for 4 min), 35 cycles (95°C for 30 seconds, 62°C for 30 seconds and 72°C for 45 seconds), and a final extension step in 72°C for 15 min.
For the fragment analysis, the reactions were prepared with a final volume of 10 µl, containing 0.5 µl of PCR product, 0.5 µl of a 106 bp amplicon of amelogenin-labeled TAMRA (as a reference peak), 0.4 µl GeneScan™ 500 LIZ® Size Standard (Applied Biosystem), and 9.1 µl of Hi‑Di™Formamide. The reaction tubes were placed in a thermocycler at 95°C for 5 min and then they were immediately placed on ice. After 3 minutes of cooling, the samples were transferred to a plate to perform electrophoresis (Figure 1). ABI Genetic Analyzer 3130 was used for the electrophoresis and fragment separation with two injection times for each sample (10 and 60 seconds). The injection time was 60 seconds for all of the negative samples to ensure that the samples were negative for FLT3-ITD mutation.
The obtained data were analyzed using Gene Mapper software. By dividing the peak height of the ITD product to that of the wild type product, the allelic ratio was calculated. If more than one ITD product existed; peak heights of ITD were added and divided by peak height of wild type. The following formula was employed to determine the allelic ratio when 60 seconds of injection time was used and the wild type FLT3 peak was off-scale (19):

Assessing the sensitivity of delta-PCR

The sensitivity of both mutation detection methods was gauged using different dilutions (1/10, 1/50, 1/100, 1/500 and 1/1000) of a FLT3-ITD mutated sample with allele ratio 50% into a normal peripheral blood sample.

Statistical analysis
For comparison of continuous variables in groups, based on FLT3 mutation status, Mann-Whitney test was used. The chi-square test was employedto determine statistically significant differences in FAB subtype frequencies between WT FLT3 and FLT3-ITD groups.


 

Results

Among The experiment was performed on a total of 180 paired diagnosis-relapse samples;105 (58.3%) males and 74 (41.1%) females. Table 2 shows patient characteristics (median and range) of all patients, FLT3 wild type (FLT3 WT) and FLT3-ITD patients.
 

Table 2. Patient characteristics (Median and range) of all patients, FLT3 WT and FLT3-ITD patients


All of the samples were analyzed using both conventional fragment analyses and Delta-PCR methods. FLT3-ITD mutations were detected in 24 diagnostic samples (13.3%) and 28 relapse samples (15.5 %) through conventional fragment analysis. This means that the results of the mutation examination were incompatible at both the time of diagnosis and at the time of relapse of the disease in 14.2 percent of patients based on the results of the conventional fragment analysis. Of the 24 patients with FLT3-ITD mutations at diagnosis, 23 patients showed the same major mutated clone at relapse and in one patient, a minor clone was predominantin the relapse sample. Three out of four patients who were FLT3-ITD positive in the relapse samples had a mutation in the diagnostic samples according to theDelta-PCR method.On the other hand, at the time of diagnosis and relapse, the mutation test results were incompatible in only 3.6% of patients based on the results of the Delta-PCR method. The allele ratios in these patients were below the detection limit of conventional fragment analysis (0.2, 0.3, and 0.5). In only one patient, the diagnosis sample was negative according to both methods, but the patient relapsed with a FLT3-ITD mutation (Table 3).
 

Table 3. Comparison of Delta PCR assay and conventional fragment analysis methods


With an injection time of 10 seconds, the conventional fragment analysis and delta-PCR sensitivity were 1/100(1%). By increasing the injection time of the genetic analyzer system from 10 seconds to 60 seconds, the sensitivity of delta-PCR changed from 1/100 to 1/500(0.2%)(Figure 1).



Fig 1. Fragment analysis of mutant and wild type alleles of FLT3 gene with ITD mutation via delta-PCR method. In patients with FLT3-ITD mutation 4 peaks (2 peaks were related to wild type allele and 2 peaks were related to mutant allele (A) For patients with WT FLT3, 2 peaks (163 bp and 182 bp) were observed (B).


Using delta-PCR, the size of the inserted segment was calculated in the patients. The size of the segment was varied from 15 to 180 bp (medium 54). In total, among the 28 patients with FLT3-ITD at relapse, ten patients(35.7%) had more than one inserted segment, of which seven patients had two inserted segments,  two patients had three inserted segments and one patient had five inserted segments. Compared to fragment analysis, delta-PCR detected a higher number of FLT3-ITD mutations per patient compared to conventional fragment analysis (43 vs 39 inserted segments), indicating the higher sensitivity of this method for the detection of subclonal mutations.


 

Discussion

The occurrence of FLT3-ITD mutation in AML patients is about 25%. This mutation is more prevalent in adults than in children (20). Patients with this mutation do not have a good prognosis, and for most of them, there is an urgent need for receiving allogeneic bone marrow transplant (21). Disease relapse can occur in patients who received transplantation. Recently, it has been shown that the FLT3-ITD mutation could be a good marker in identifying MRD, in addition tobeing a beneficial guide for using FLT3 inhibitors in AML patients (22-24). In a recent study, Wan and colleagues showed the predictive value of pretransplant FLT3-ITD levels in 84 patients who underwent allo-HCT during their first remission (25).
The U.S. Food and Drug Administration has recently approved Gilteritinib (Xospata®), a dual FLT3/AXL inhibitor, for the treatment of patients with relapsed or refractory acute myeloid leukemia (AML) with a Fms-like tyrosine kinase 3 (FLT3) gene mutation (26). About one-third of AML patients have a genetic fusion in MRD monitoring. NPM1 and FLT3-ITD mutations are the most frequent molecular aberrations in AML patients. The instability of the FLT3-ITD mutations in the various stages of the disease is one of the barriers to using these mutations to determine the MRD in the patients. Although the results of several studies indicate the instability of FLT3-ITD mutations during the disease evolution, the same studies have noticed that the low sensitivity of the method of mutation detection may be one of the reasons for the lack of identification of minor clones that may act as a dominant clone during the disease relapse (27). Levis et al. introduced a highly sensitive PCR/NGS-based method for evaluating the response to FLT3 inhibitors and monitoring MRD in FLT3-ITD mutated patients. They showed that there was a correlation between FLT3-ITD variant allele frequency ≤10-2 and overall survival in patients treated with gilteritinib (23).
The conventional fragment analysis method showed a limited sensitivity (1-5%) and specificity in detection of FLT3-ITD mutations (28-30). Delta-PCR is a novel technique, which can be used for measuring MRD in these patients. In the present study, we tested 180 paired diagnosis and relapse samples collected from AML patients regardless of the presence of FLT3-ITD status at diagnosis. In this study, we examined the performance of conventional fragment analysis assay for detecting FLT3-ITD mutations relative to Delta PCR method.
In 2013, Beierl et al. used delta-PCR for evaluation of bone marrow and peripheral blood samples from 31 AML patients. According to the authors, Delta-PCR with an accurate design could be an ideal choice for efficient and sensitive detection of different mutations, like insertions, deletions. This method is able to detect ITD mutations with higher sensitivity and specificity and therefore, can be used for measuring the MRD in AML patients.
In our study, three patients with a positive FLT3-ITD mutation at the time of relapsewere negative for the mutationat the time of disease diagnosis. When the same patients were examined using delta-PCR , all three patients were positive for the mutations. In only one patient, the diagnosis sample was negative in both methods, but the patient relapsed with a FLT3-ITD mutation. This can indicate the stability of the FLT3-ITD marker in our study as conventional fragment analysis and delta-PCR was 86.6 and 96.6 respectively. In other words, one of the reasons for the instability of the mutation in different studies may be the low sensitivity of the mutation detection methods used.
In a retrospective study, Zuffaand et al. used amplicon-based ultra-deep-sequencing (UDS) and they succeeded in detecting the presence of a mutation in all five samples that were positive at the time of relapse or disease progression. They also lacked mutations at the time of diagnosis (31).
In the present study, the size and number of the inserted segments were checked in all patients.A higher number of ITDs per patient was detected due to the higher sensitivity of Delta-PCR. While in previous studies, up to ten FLT3-ITDs were detected in one in AML patients (19), the highest number of FLT3-ITDs per patient in our study was five. Among the ten patients who had more than one insertion (35.7%), seven patients were identified with two, two with three and one with five insertion segments. The presence of more than one inserted segment with different abundances has also been reported by other studies. The size of the inserted segment varied from 6 to 210 bp in Koszarska’s et al. experiment and 22 patients out of 69 with FLT3-ITD mutations had more than one mutant amplicon (31.9 %) (32). However, in another experiment by Kim et al, among the 73 patients with aFLT3-ITD mutation, only two patients had more than one insertion (2.7%) (30).


 

Conclusion

In conclusion, our results emphasize that in the absence of other specific markers, delta-PCR is a sensitive, specific, and cost-effective method for detecting the minor clones of FLT3-ITD mutations. This includes the monitoring of MRD in AML patients with FLT3-ITD mutations. In this experiment, delta-PCR was able to detect the ITD mutation in all of the previously documented samples. Moreover, due to the simultaneous amplification of two bands, the specificity of this method is higher than the standard fragment analysis method that is performed through the use of only one pair of primers.

 

Acknowledgements

This research was supported by Hematology, Oncology and Stem Cell Transplantation Research Center. The authors would like to thank all the professors and personnel of this center.


 

Conflicts of Interest

Authors declared no conflict of interests.

 

Type of Study: Original Research Article | Subject: Medical Biology
Received: 2019/02/13 | Accepted: 2019/05/20 | Published: 2019/07/1

References
1. De Kouchkovsky I, Abdul-Hay M. Acute myeloid leukemia: a comprehensive review and 2016 update. Blood Cancer J. 2016;6(7):e441. [DOI:10.1038/bcj.2016.50] [DOI:10.1038/bcj.2016.50] [PMID] [PMCID]
2. Gilliland DG, Jordan CT, Felix CA. The molecular basis of leukemia.Hematology Am Soc Hematol Educ Program. 2004;2004(1):80-97. [DOI:10.1182/asheducation-2004.1.80] [DOI:10.1182/asheducation-2004.1.80] [PMID]
3. Mortazavi Y, Jameshorani M, Zand H, Rostami S. Association of G15631T, CYP2B6 gene polymorphism with susceptibility to acute myeloid leukemia. J Adv Med Biomed Res. 2016;24(103):32-41.
4. Zhou Y, Kaiser T, Monteiro P, et al. Mice with Shank3 mutations associated with ASD and schizophrenia display both shared and distinct defects. Neuron. 2016;89(1):147-62. [DOI:10.1016/j.neuron.2015.11.023] [DOI:10.1016/j.neuron.2015.11.023] [PMID] [PMCID]
5. Küry S, van Woerden GM, Besnard T, et al. De novo mutations in protein kinase genes CAMK2A and CAMK2B cause intellectual disability. Am J Human Genetics. 2017;101(5):768-88. [DOI:10.1016/j.ajhg.2017.10.003] [DOI:10.1016/j.ajhg.2017.10.003] [PMID] [PMCID]
6. Goin-Kochel RP, Trinh S, Barber S, Bernier R. Gene disrupting mutations associated with regression in autism spectrum disorder. J Autism Develop Disorder. 2017;47(11):3600-7. [DOI:10.1007/s10803-017-3256-4] [DOI:10.1007/s10803-017-3256-4] [PMID] [PMCID]
7. Hornung R, Jurinovic V, Batcha AM, et al. Mediation analysis reveals common mechanisms of RUNX1 point mutations and RUNX1/RUNX1T1 fusions influencing survival of patients with acute myeloid leukemia. Scientific Report. 2018;8(1):11293. [DOI:10.1038/s41598-018-29593-2] [DOI:10.1038/s41598-018-29593-2] [PMID] [PMCID]
8. Ardestani M, chahardouli b, Mohammadi S, et al. Detection of R882 mutations in DNMT3A gene in acute myeloid leukemia: A method comparison study. Iran J Pediatr Hematol Oncol. 2018;8(3):172-9.
9. Schnittger S, Schoch C, Dugas M, et al. Analysis of FLT3 length mutations in 1003 patients with acute myeloid leukemia: correlation to cytogenetics, FAB subtype, and prognosis in the AMLCG study and usefulness as a marker for the detection of minimal residual disease: Presented in part at the 42nd annual meeting of the American Society of Hematology, December 1-5, 2000, San Francisco, CA (abstract 3569). Blood. 2002;100(1):59-66. [DOI:10.1182/blood.V100.1.59] [DOI:10.1182/blood.V100.1.59] [PMID]
10. Kiyoi H, Towatari M, Yokota S, et al. Internal tandem duplication of the FLT3 gene is a novel modality of elongation mutation which causes constitutive activation of the product. Leukemia. 1998;12(9):1333. [DOI:10.1038/sj.leu.2401130] [DOI:10.1038/sj.leu.2401130] [PMID]
11. Sallmyr A, Fan J, Datta K, et al. Internal tandem duplication of FLT3 (FLT3/ITD) induces increased ROS production, DNA damage, and misrepair: implications for poor prognosis in AML. Blood. 2008;111(6):3173-82. [DOI:10.1182/blood-2007-05-092510] [DOI:10.1182/blood-2007-05-092510] [PMID]
12. Kottaridis PD, Gale RE, Frew ME, et al. The presence of a FLT3 internal tandem duplication in patients with acute myeloid leukemia (AML) adds important prognostic information to cytogenetic risk group and response to the first cycle of chemotherapy: analysis of 854 patients from the United Kingdom Medical Research Council AML 10 and 12 trials. Blood. 2001;98(6):1752-9. [DOI:10.1182/blood.V98.6.1752] [DOI:10.1182/blood.V98.6.1752] [PMID]
13. Thiede C, Steudel C, Mohr B, et al. Analysis of FLT3-activating mutations in 979 patients with acute myelogenous leukemia: association with FAB subtypes and identification of subgroups with poor prognosis: Presented in part at the 42nd Annual Meeting of the American Society of Hematology, December 1-5, 2000, San Francisco, CA (abstract 2334). Blood. 2002;99(12):4326-35. [DOI:10.1182/blood.V99.12.4326] [DOI:10.1182/blood.V99.12.4326] [PMID]
14. Fröhling S, Schlenk RF, Breitruck J, et al. Prognostic significance of activating FLT3 mutations in younger adults (16 to 60 years) with acute myeloid leukemia and normal cytogenetics: a study of the AML Study Group Ulm. Blood. 2002;100(13):4372-80. [DOI:10.1182/blood-2002-05-1440] [DOI:10.1182/blood-2002-05-1440] [PMID]
15. Stirewalt DL, Willman CL, Radich JP. Quantitative, real-time polymerase chain reactions for FLT3 internal tandem duplications are highly sensitive and specific. Leukemia Res. 2001;25(12):1085-8. [DOI:10.1016/S0145-2126(01)00087-X] [DOI:10.1016/S0145-2126(01)00087-X]
16. Ardestani MT, Kazemi A, Chahardouli B, et al. FLT3-ITD compared with DNMT3A R882 mutation is a more powerful independent inferior prognostic factor in adult acute myeloid leukemia patients after allogeneic hematopoietic stem cell transplantation: A retrospective cohort study. Turkish J Haematol. 2018;35(3):158-67. [DOI:10.4274/tjh.2018.0017] [DOI:10.4274/tjh.2018.0017] [PMID] [PMCID]
17. Grunwald MR, Tseng LH, Lin MT, et al. Improved FLT3/ITD PCR assay predicts outcome following allogeneic transplant for AML. Biol Blood Bone Marrow Transplant. 2014;20(12):1989-95. [DOI:10.1016/j.bbmt.2014.08.015] [DOI:10.1016/j.bbmt.2014.08.015] [PMID] [PMCID]
18. Kayser S, Walter RB, Stock W, Schlenk RF. Minimal residual disease in acute myeloid leukemia-current status and future perspectives. Curr Hematol Malig Rep. 2015;10(2):132-44. [DOI:10.1007/s11899-015-0260-7] [DOI:10.1007/s11899-015-0260-7] [PMID]
19. Beierl K, Tseng LH, Beierl R, et al. Detection of minor clones with internal tandem duplication mutations of FLT3 gene in acute myeloid leukemia using delta-PCR. Diag Molec Pathol. 2013;22(1):1-9. [DOI:10.1097/PDM.0b013e31825d81f4] [DOI:10.1097/PDM.0b013e31825d81f4] [PMID]
20. Kronke J, Schlenk RF, Jensen KO, et al. Monitoring of minimal residual disease in NPM1-mutated acute myeloid leukemia: a study from the German-Austrian acute myeloid leukemia study group. J Clin Oncol 2011;29(19):2709-16. [DOI:10.1200/JCO.2011.35.0371] [DOI:10.1200/JCO.2011.35.0371] [PMID]
21. Schiller J, Praulich I, Krings Rocha C, Kreuzer KA. Patient-specific analysis of FLT3 internal tandem duplications for the prognostication and monitoring of acute myeloid leukemia. Europe J Haematol. 2012;89(1):53-62. [DOI:10.1111/j.1600-0609.2012.01785.x] [DOI:10.1111/j.1600-0609.2012.01785.x] [PMID]
22. Yin JA, O'Brien MA, Hills RK, Daly SB, Wheatley K, Burnett AK. Minimal residual disease monitoring by quantitative RT-PCR in core binding factor AML allows risk stratification and predicts relapse: results of the United Kingdom MRC AML-15 trial. Blood. 2012;120(14):2826-35. [DOI:10.1182/blood-2012-06-435669] [DOI:10.1182/blood-2012-06-435669] [PMID]
23. Levis MJ, Perl AE, Altman JK, et al. A next-generation sequencing-based assay for minimal residual disease assessment in AML patients with FLT3-ITD mutations. Blood Adv. 2018;2(8):825-31. [DOI:10.1182/bloodadvances.2018015925] [DOI:10.1182/bloodadvances.2018015925] [PMID] [PMCID]
24. Patnaik MM. The importance of FLT3 mutational analysis in acute myeloid leukemia. Leukemia &Lymphoma. 2017:1-14. [DOI:10.1080/10428194.2017.1399312] [DOI:10.1080/10428194.2017.1399312] [PMID]
25. Wan L, Xu M, Chen J, et al. Pretransplant FLT3-ITD levels predict outcome after allogeneic hematopoietic cell transplantation for AML patients in the first remission. Bone marrow Transplant. 2019. [DOI:10.1038/s41409-019-0576-3] [DOI:10.1038/s41409-019-0576-3]
26. Dhillon S. Gilteritinib: First Global Approval. Drugs. 2019;79(3):331-9. [DOI:10.1007/s40265-019-1062-3] [DOI:10.1007/s40265-019-1062-3] [PMID]
27. Cloos J, Goemans BF, Hess CJ, et al. Stability and prognostic influence of FLT3 mutations in paired initial and relapsed AML samples. Leukemia. 2006;20(7):1217-20. [DOI:10.1038/sj.leu.2404246] [DOI:10.1038/sj.leu.2404246] [PMID]
28. Santos FP, Jones D, Qiao W, et al. Prognostic value of FLT3 mutations among different cytogenetic subgroups in acute myeloid leukemia. Cancer. 2011;117(10):2145-55. [DOI:10.1002/cncr.25670] [DOI:10.1002/cncr.25670] [PMID] [PMCID]
29. Oran B, Cortes J, Beitinjaneh A, et al. Allogeneic transplantation in frst remission improves outcomes irrespective of FLT3-ITD allelic ratio in FLT3-ITD-positive acute myelogenous leukemia. Biol Blood Marrow Transplant. 2016;22(7):1218-26. [DOI:10.1016/j.bbmt.2016.03.027] [DOI:10.1016/j.bbmt.2016.03.027] [PMID] [PMCID]
30. Kim Y, Lee G, Park J, et al. Quantitative fragment analysis of FLT3-ITD efficiently identifying poor prognostic group with high mutant allele burden or long ITD length. Blood Cancer J. 2015;5(8):e336. [DOI:10.1038/bcj.2015.61] [DOI:10.1038/bcj.2015.61] [PMID] [PMCID]
31. Zuffa E, Franchini E, Papayannidis C, et al. Revealing very small FLT3 ITD mutated clones by ultra-deep sequencing analysis has important clinical implications in AML patients. Oncotarget. 2015;6(31):31284-94. [DOI:10.18632/oncotarget.5161] [DOI:10.18632/oncotarget.5161] [PMID] [PMCID]
32. Koszarska M, Meggyesi N, Bors A, et al. Medium-sized FLT3 internal tandem duplications confer worse prognosis than short and long duplications in a non-elderly acute myeloid leukemia cohort. Leukemia & Lymphoma. 2014;55(7):1510-7. [DOI:10.3109/10428194.2013.850163] [DOI:10.3109/10428194.2013.850163] [PMID]

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2025 CC BY-NC 4.0 | Journal of Advances in Medical and Biomedical Research

Designed & Developed by : Yektaweb