Skip to main content
International Journal of Health Sciences logoLink to International Journal of Health Sciences
. 2021 Mar-Apr;15(2):21–25.

Distribution of fusion transcripts and its clinical impact in patients with acute myeloid leukemia in Sudan

Abdel Rahim Mahmoud Muddathir 1,2,, Tarig A M Hamid 3, Elwaleed M Elamin 4, Omar F Khabour 5
PMCID: PMC7934129  PMID: 33708041

Abstract

Objective:

Acute myeloid leukemia (AML) is a common malignant disorder of hematopoietic progenitor cells that caused by chromosomal translocation and the formation of fusion oncogenes. This study determined the frequencies of fusion genes in Sudanese patients with AML and their clinical impacts.

Methods:

This study was conducted at Alzaeim Alazhari University, Khartoum, Sudan. A total of 97 patients with AML were recruited in the study from different clinics in Khartoum state. Quantitative real-time polymerase chain reaction was used to determine types of fusion genes.

Results:

The highest frequency of genetic defects was observed for AML1-ETO fusion gene (57.6%) followed by MLL-AF9 (35.1%) and FUS-ERG (7.2%). No significant differences in blast cells, hemoglobin, total white blood cells, and platelets were found between different gene fusion groups (P > 0.05). In addition, no differences in the frequency of splenomegaly, hepatomegaly and lymphadenopathy were observed between different gene fusion groups (P > 0.05). With respect to French-American-British (FAB) classification, the M2 and M3 were significantly higher in patients with AML1-ETO fusion (86%, P < 0.01) whereas M4 and M5 were higher in patients with MLL-AF9 fusion (76.5%, P < 0.01).

Conclusions:

The study concluded that AML1-ETO and MLL-AF9 fusion genes were predominant in AML Sudanese patients. None of the examined clinical parameters were different between different fusion genes except for FAB stages.

Keywords: Acute myeloid leukemia, AML1-ETO, MLL-AF9, real-time polymerase chain reaction, Sudan

Introduction

Acute myeloid leukemia (AML) is a common malignant disorder of hematopoietic progenitor cells.[1,2] AML is characterized by the accumulation of abnormal blood cells in the bone marrow and blood stream that interfere with normal blood functions.[3] The etiology of AML is heterogeneous and includes several genetic defects such as AML1-ETO, MLL-AF9, and FUS-ERG.[4,5] The AML1-ETO, also known as t(8;21), was historically the first chromosomal defect observed in AML.[6,7] The t(8;21) fuses the chromosome 21 AML1(RUNX1) gene with the ETO gene that encodes the CBFA2T1 protein on chromosome 8.[8] The MLL-AF9 gene defect is formed as a result of a t(9; 11) reciprocal translocation.[9] The expression of the MLL-AF9 fusion gene is associated with extramedullary tumor infiltration, high relapse frequency, and low survival rates.[10-13] The FUS–ERG fusion gene is caused by t(16;21)(p11;q22) chromosomal aberration. The fusion gene codes for a hybrid protein that contains the N-terminal domain of FUS the C-terminal domain of ERG.[14,15]

The types of genetic defects are among the most important prognostic factors and are used in the diagnosis and treatment of AML as each type is associated with specific clinical, morphological, and immunological disease characteristics.[16,17] In this study, the distribution of genetic defects that are associated with AML was investigated among Sudanese patients. In addition, the impact of genetic defects on hematologic parameters and clinical remarks of AML was also examined. The study findings are expected to improve the management and prognosis of AML in Sudan.

Methods

Subjects

The study design is cross-sectional and descriptive in nature that was conducted between January 2013 and January 2017 in Alzaeim Alazhari University, Khartoum, Sudan to investigate the frequency of common fusion genes in AML and their impact on hematological parameters. The study included 97 AML patients (52 male and 45 female) from different clinics in Khartoum state. The age range of patients was between 15 and 75 years old. The study was approved by the Institutional Review Boards of Alzaeim Alazhari University, Khartoum, Sudan. Informed consent was obtained from participants after full explanation of study aims and procedures. A total of 5 mL of venous blood was collected in ethylenediaminetetraacetic acid (EDTA) evacuated tubes and used for hematological and molecular assays as described below.

RNA extraction

Total RNA was extracted from peripheral blood collected in EDTA using R & A blue kit (Intron Biotechnology, Korea). The mRNA was converted to cDNA using Maxime Reverse Transcriptase PreMIx kit (Intron Biotechnology, Korea) according to the manufacturer’s protocol. In summary, 1 mg of isolated RNA was used in the reaction (12.5 μl total volume) that contains 0.5 μg of oligo (dT18) primers and 1 μl of 10 mM dNTPs. The reaction was incubated at 65°C for 5 min and then immediately cooled down on ice. Then, the reverse transcriptase mixture (4 μl of 10XRT buffer and 2 μl of 0.1 mol/L DTT and 20U of RNase Block) was added. The mixtures were incubated at 37°C for 2 min. Then, 50 U of RT enzyme was added and the mixture was incubated at 42°C for 50 min. The mixture then incubated at 75°C for 15 min to terminate the reaction. The cDNA quantity/quality was assessed using ND-100 spectrophotometer (Nano Drop Technologies, Wilmington, USA). Samples were stored at −80°C until used.

Molecular detection of fusion genes

Molecular detection of fusion gene expressions was performed by real-time polymerase chain reaction (RT-PCR) using a thermos-cycler machine from Roche Diagnostics machine (LightCycler 480, Germany). Commercial probes and primers for the detection of fusion genes were from Eurofins genomics (Ebensburg, Germany). The used primers for AML1-ETO translocations were AML1-A: CTACCGCAGCCATGAAGAACC, ETO-B: AGA GGA AGG CCC ATT GCT GAA, AML1-C: ATG ACC TCA GGT TTG TCG GTC G, ETO-D: TGA ACT GGT TCT TGG AGC TCC T, and AML1-E: TGG CTG GCA ATG ATG AAA ACT ACT as previously described.[18] With respect to MLL-AF9, the used primers were MLL6S: GCA AAC AGA AAA AAG TGG CTC CCC G and AF9AS3: TCA CGA TCT GCT GCA GAA TGT GTC T as previously described.[19] Finally, the used primers for FUS-ERG were FUS: CAG CGG TGG CTA TGG ACA G and ERG: GGT GCC TTC CCA GGT GAT G.[19] The RT-PCR was performed as the followings: 50°C for 120 s and 95°C for 5 min followed by 40 cycles of 15 s at 95°C, 30 s at 65°C and 15 s at 72°C. GAPDH was used as a control for gene expression.

Laboratory parameters

Measurements of platelets, white blood cells, and Hb level were performed using a KX-21N automated hematology analyzer (Sysmex Corporation, Japan). With respect to French-American-British (FAB) classification, bone marrow samples were stained as previously described.[20] Samples were grouped according to the morphological appearance and types and number of the blast cells into the following categories: M0, M1, M2, M3, M4, M5, M6, and M7.[21]

Data processing

All data were entered and analyzed using statistical analysis software SPSS (Statistical Package for the Social Sciences) version 21. Chi-square was used to associate fusion genes with the demographics of participants. ANOVA test was used to associate the fusion genes with hematological and clinical parameters. A P < 0.05 was considered as statistically significant.

Results

Table 1 shows characteristics of participants. The mean age was 36 years (range: 2–84). Male to female ratio was 1.15:1. Most of the patients were from Middle and West part of Sudan. Clinical remarks of AML patients include splenomegaly (18.6%), hepatomegaly (19.6%), and lymphadenopathy (5.2%). About half of the patients were receiving combinations of anti-AML therapeutic drugs, whereas 41% were taking dexamethasone.

Table 1.

Characteristics of the study participants

graphic file with name IJHS-15-21-g001.jpg

Table 2 shows frequency of different types of gene fusion observed in AML patients. The highest frequency was observed for AML1-ETO gene fusion (57.6%) followed by MLL-AF9 (35.1%). However, FUS-ERG fusion gene accounted for 7.2%. The normalized expression of different fusion genes ranged between 0.23 for AML1-ETO to 0.36 for FUS-ERG.

Table 2.

Distribution of chromosomal aberrations seen in AML patients

graphic file with name IJHS-15-21-g002.jpg

The effects of different gene fusions on hematological parameters are shown in Table 3. According to ANOVA, no differences in blast cells (P = 0.93), hemoglobin (P = 0.52), total white blood cells (P = 0.43), and platelets count (P = 0.33) were found between different fusion genes. In addition, no differences in the frequency of splenomegaly, hepatomegaly, and lymphadenopathy (P > 0.05) were observed between different gene fusion groups.

Table 3.

Hematological parameters of AML patients according to type of chromosomal aberration

graphic file with name IJHS-15-21-g003.jpg

We also examined the distribution of different gene fusions according to geographical areas, gender, and age [Table 4]. The results showed similar distribution of different gene fusions in AML patients in the different part of Sudan (P = 0.589), age groups (P = 0.155), and according to gender (P = 0.239).

Table 4.

Distribution of chromosomal aberrations seen in AML patients according to geographical area, gender, and age

graphic file with name IJHS-15-21-g004.jpg

Finally, the distribution of AML patients according to gene fusion type and FAB classification is shown in Table 5. The M2 and M3 FAB stages were significantly higher (P < 0.01) in patients with AML1-ETO fusion (86%) compared to patients with MLL-AF9 fusion (23.5%). On the other hand, M4 FAB stage was higher (P < 0.05) in patients with MLL-AF9 fusion (47.1%) compared to patients with AML1-ETO fusion (8.9%).

Table 5.

Distribution of AML patients according to FAB classification and type of gene fusion

graphic file with name IJHS-15-21-g005.jpg

Discussion

AML is a mixed group of clonal hematopoietic stem cell disorders. The progress of AML is associated with accumulation of acquired genetic alterations in hematopoietic progenitor cells. In the current study, we examined the frequency of different fusion transcripts in patients with AML from Sudan. The results showed that AML1-ETO gene fusion is the most common type (57.6%) followed by MLL-AF9 (35.1%) and FUS-ERG (7.2%). In a previous study from Sudan, the AML1: ETO gene mutation was also found to be the most common one.[22] A similar distribution was also observed in studies from Indian,[23] China,[24] Egypt,[25] and Japan.[11]

In the present study, significant differences in the distribution of AML patients according to FAB classification and type of gene fusion were observed. The M2 and M3 FAB stages were significantly higher in patients with AML1-ETO fusion (86%), whereas the M4 FAB stage was higher in patients with MLL-AF9 fusion. These findings are in agreement with what previous reports from Sudan[22] that the majority of AML patients with AML1-ETO fusion was in M2/M3 FAB stages. In India study done by Sazawal et al.,[23] the majority of the patients with AML1-ETO had the M2 subtype. A similar observation was reported in studies that were conducted in Iranian[26] and Korea.[27] The data of MLL-AF9 were also in agreement with previous studies that were conducted in Egypt,[25] China,[28] and Netherlands.[29]

In the current study, the result showed that the number of male patients with AML was found to be relatively higher than females. This trend was previously observed in previous studies from Sudan,[22] Pakistan,[30] and Korea.[27] In the present study, the observed clinical remarks (splenomegaly, hepatomegaly, and lymphadenopathy) were found in 19% of participants. This is also similar to that observed in previous studies that were conducted in Pakistan,[30] Palestine,[31] and Pakistan.[32] However, higher percentages of such complications were reported in an Indian study.[33]

With respect to the impact of different gene fusions on hematological parameters, no differences in blast cells, hemoglobin, total white blood cells, and platelets count were found between different fusion genes.

In addition, no differences in the frequency of splenomegaly, hepatomegaly, and lymphadenopathy (P > 0.05) were observed between different gene fusion groups. These findings are in agreement with a study that was conducted in Iran.[34] More studies are required to confirm the present findings.

The present findings provide insight regarding the frequency and distribution of translocations that underline the etiology of AML in Sudan. In addition, the implementation of molecular diagnosis in AML can predict FAB stages and some characteristics of the neoplastic cells, and the subsequent overall prognosis of the disease.

Conclusions

AML1-ETO and MLL-AF9 fusion genes were predominant in AML Sudanese patients. None of the examined clinical parameters were different between different fusion genes except for FAB stages.

Authors’ Declaration Statements

Ethics approval and consent to participate

The study was approved by the Institutional Review Boards of Alzaeim Alazhari University, Khartoum, Sudan. Informed consent was obtained from participants after a full explanation of study aims and procedures.

Availability of data and material

The data used in this study are available and will be provided by the corresponding author on a reasonable request.

Competing interests

The authors have no competing interests.

Funding statement

The authors received no funding from any institution or organization to carry out this study.

Authors’ Contributions

All authors contributed to study design, laboratory work, data analysis, report writing. Tarig A. recruited subjects and conducted the laboratory work. Abdel Rahim M and Omar F participated in writing and critically revised the manuscript with important intellectual content, and Elwaleed M approved the final version of the manuscript.

Acknowledgments

The authors thank Taibah University for their support. Many thanks to the staff of different clinics and their laboratories for their valuable help in recruitment of subjects.

ORCID link of the submitting author: 0000-0002-0013-8435.

References

  • 1.Kayser S, Levis MJ. Clinical implications of molecular markers in acute myeloid leukemia. Eur J Haematol. 2019;102:20–35. doi: 10.1111/ejh.13172. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Watts J, Nimer S. Recent advances in the understanding and treatment of acute myeloid leukemia. F1000Research. 2018;7:1196. doi: 10.12688/f1000research.14116.1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Komanduri KV, Levine RL. Diagnosis and therapy of acute myeloid leukemia in the era of molecular risk stratification. Annu Rev Med. 2016;67:59–72. doi: 10.1146/annurev-med-051914-021329. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.King RL, Bagg A. Molecular malfeasance mediating myeloid malignancies:The genetics of acute myeloid leukemia. Methods Mol Biol. 2017;1633:1–17. doi: 10.1007/978-1-4939-7142-8_1. [DOI] [PubMed] [Google Scholar]
  • 5.Willman CL. Molecular evaluation of acute myeloid leukemias. Semin Hematol. 1999;36:390–400. [PubMed] [Google Scholar]
  • 6.Arora R, Sawney S, Saluja D. Potential therapeutic approaches for the treatment of acute myeloid leukemia with AML1-ETO translocation. Curr Cancer Drug Targets. 2016;16:215–25. doi: 10.2174/1568009616666151113120146. [DOI] [PubMed] [Google Scholar]
  • 7.Lin S, Mulloy JC, Goyama S. RUNX1-ETO leukemia. Adv Exp Med Biol. 2017;962:151–73. doi: 10.1007/978-981-10-3233-2_11. [DOI] [PubMed] [Google Scholar]
  • 8.Bellissimo DC, Speck NA. RUNX1 mutations in inherited and sporadic leukemia. Front Cell Dev Biol. 2017;5:111. doi: 10.3389/fcell.2017.00111. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Wu B, Li F, Zou S. MLL-AF9 rearrangement in myeloid sarcomas involving the breast. Ann Hematol. 2014;93:709–710. doi: 10.1007/s00277-013-1850-x. [DOI] [PubMed] [Google Scholar]
  • 10.Huang S, Yang H, Gao L, Dou LP, Xu YY, Wang N, et al. Prognostic significance of detecting MLL-AF9 fusion gene expression in patients with acute myeloid leukemia by real-time fluorescence quantitative PCR. Zhongguo Shi Yan Xue Ye Xue Za Zhi. 2013;21:1435–40. doi: 10.7534/j.issn.1009-2137.2013.06.013. [DOI] [PubMed] [Google Scholar]
  • 11.Matsuo H, Iijima-Yamashita Y, Yamada M, Deguchi T, Kiyokawa N, Shimada A, et al. Monitoring of fusion gene transcripts to predict relapse in pediatric acute myeloid leukemia. Pediatr Int. 2018;60:41–6. doi: 10.1111/ped.13440. [DOI] [PubMed] [Google Scholar]
  • 12.Scholl C, Schlenk RF, Eiwen K, Dohner H, Frohling S, Dohner K, et al. The prognostic value of MLL-AF9 detection in patients with t(9;11)(p22;q23)-positive acute myeloid leukemia. Haematologica. 2005;90:1626–34. [PubMed] [Google Scholar]
  • 13.Tamai H, Inokuchi K. 11q23/MLL acute leukemia:Update of clinical aspects. J Clin Exp Hematopathol. 2010;50:91–8. doi: 10.3960/jslrt.50.91. [DOI] [PubMed] [Google Scholar]
  • 14.Toda Y, Nagai Y, Shimomura D, Kishimori C, Tsuda K, Fukutsuka K, et al. Acute basophilic leukemia associated with the t(16;21)(p11;q22)/FUS-ERG fusion gene. Clin Case Rep. 2017;5:1938–44. doi: 10.1002/ccr3.1219. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Zerkalenkova E, Panfyorova A, Kazakova A, Baryshev P, Shelihova L, Kalinina I, et al. Molecular characteristic of acute leukemias with t(16;21)/FUS-ERG. Ann Hematol. 2018;97:977–88. doi: 10.1007/s00277-018-3267-z. [DOI] [PubMed] [Google Scholar]
  • 16.Kotani S, Yoda A, Kon A, Kataoka K, Ochi Y, Shiozawa Y, et al. Molecular pathogenesis of disease progression in MLL-rearranged AML. Leukemia. 2018;33:612–24. doi: 10.1038/s41375-018-0253-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Moarii M, Papaemmanuil E. Classification and risk assessment in AML:Integrating cytogenetics and molecular profiling. Hematol Am Soc Hematol Educ Program. 2017;2017:37–44. doi: 10.1182/asheducation-2017.1.37. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.van Dongen JJ, Macintyre EA, Gabert JA, Delabesse E, Rossi V, Saglio G, et al. Standardized RT-PCR analysis of fusion gene transcripts from chromosome aberrations in acute leukemia for detection of minimal residual disease. Report of the BIOMED-1 concerted action:Investigation of minimal residual disease in acute leukemia. Leukemia. 1999;13:1901–28. doi: 10.1038/sj.leu.2401592. [DOI] [PubMed] [Google Scholar]
  • 19.Pezzi A, Moraes L, Valim V, Amorin B, Melchiades G, Oliveira F, et al. DNMT3A mutations in patients with acute myeloid leukemia in South Brazil. Adv Hematol. 2012;2012:697691. doi: 10.1155/2012/697691. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Noort S, Zimmermann M, Reinhardt D, Cuccuini W, Pigazzi M, Smith J, et al. Prognostic impact of t(16;21)(p11;q22) and t(16;21)(q24;q22) in pediatric AML:A retrospective study by the I-BFM Study Group. Blood. 2018;132:1584–92. doi: 10.1182/blood-2018-05-849059. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Schoch C, Schnittger S, Klaus M, Kern W, Hiddemann W, Haferlach T. AML with 11q23/MLL abnormalities as defined by the WHO classification:Incidence, partner chromosomes, FAB subtype, age distribution, and prognostic impact in an unselected series of 1897 cytogenetically analyzed AML cases. Blood. 2003;102:2395–402. doi: 10.1182/blood-2003-02-0434. [DOI] [PubMed] [Google Scholar]
  • 22.Fadul EA, Osman IM, AlGadir AA. Detection of AML1/ETO fusions transcript in acute myeloid leukemia in sudanese patients. Eur Acad Res. 2014;11:12526–9. [Google Scholar]
  • 23.Sazawal S, Kumar B, Hasan SK, Dutta P, Kumar R, Chaubey R, et al. Haematological and molecular profile of acute myelogenous leukaemia in India. Indian J Med Res. 2009;129:256–61. [PubMed] [Google Scholar]
  • 24.Li ZG, Wu MY, Zhao W, Li B, Yang J, Zhu P, et al. Detection of 29 types of fusion gene in leukemia by multiplex RT-PCR. Zhonghua Xue Ye Xue Za Zhi. 2003;24:256–8. [PubMed] [Google Scholar]
  • 25.Hagag AA, Shebl SS, El-Fadaly NH. Frequency of 11q23/MLL gene rearrangement in Egyptian childhood acute myeloblastic leukemia:Biologic and clinical significance. South Asian J Cancer. 2014;3:206–8. doi: 10.4103/2278-330X.142964. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Zidanloo SG, Colagar AH. Geographic heterogeneity of the AML1-ETO fusion gene in Iranian patients with acute myeloid leukemia. Rep Biochem Mol Biol. 2014;3:7–13. [PMC free article] [PubMed] [Google Scholar]
  • 27.Cho EK, Bang SM, Ahn JY, Yoo SM, Park PW, Seo YH, et al. Prognostic value of AML 1/ETO fusion transcripts in patients with acute myelogenous leukemia. Korean J Intern Med. 2003;18:13–20. doi: 10.3904/kjim.2003.18.1.13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Gong XY, Wang Y, Liu BC, Wei H, Li CW, Li QH, et al. Characteristics and prognosis in adult acute myeloid leukemia patients with MLL gene rearrangements. Zhonghua Xue Ye Xue Za Zhi. 2018;39:9–14. doi: 10.3760/cma.j.issn.0253-2727.2018.01.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Noordermeer SM, Sanders MA, Gilissen C, Tonnissen E, van der Heijden A, Dohner K, et al. High BRE expression predicts favorable outcome in adult acute myeloid leukemia, in particular among MLL-AF9-positive patients. Blood. 2011;118:5613–21. doi: 10.1182/blood-2011-06-359182. [DOI] [PubMed] [Google Scholar]
  • 30.Asif N, Hassan K. Acute myeloid leukemia amongst adults. J Islamabad Med Dent Coll. 2013;2:58–5. [Google Scholar]
  • 31.Abuhelwa Z, Al Shaer Q, Taha S, Ayoub K, Amer R. Characteristics of De novo acute myeloid leukemia patients in palestine:Experience of An-Najah National University Hospital. Asian Pac J Cancer Prevent. 2017;18:2459–64. doi: 10.22034/APJCP.2017.18.9.2459. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Sultan S, Zaheer HA, Irfan SM, Ashar S. Demographic and clinical characteristics of adult acute myeloid leukemia--tertiary care experience. Asian Pac J Cancer Prevent. 2016;17:357–60. doi: 10.7314/apjcp.2016.17.1.357. [DOI] [PubMed] [Google Scholar]
  • 33.Biswas S, Chakrabarti S, Chakraborty J, Paul PC, Konar A, Das S. Childhood acute leukemia in West Bengal, India with an emphasis on uncommon clinical features. Asian Pac J Cancer Prevent. 2009;10:903–6. [PubMed] [Google Scholar]
  • 34.Kamaneh EA, Asenjan KS, Akbari AM, Laleh PA, Chavoshi H, Ziaei JE, et al. Characterization of common chromosomal translocations and their frequencies in acute myeloid leukemia patients of Northwest Iran. Cell J. 2016;18:37–45. doi: 10.22074/cellj.2016.3985. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The data used in this study are available and will be provided by the corresponding author on a reasonable request.


Articles from International Journal of Health Sciences are provided here courtesy of Qassim University

RESOURCES