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Mutation Patterns of 16 Genes in Primary and Secondary Acute Myeloid Leukemia (AML) with Normal Cytogenetics

  • Marta Fernandez-Mercado,

    Affiliation LLR Molecular Haematology Unit, NDCLS, John Radcliffe Hospital, Oxford, United Kingdom

  • Bon Ham Yip,

    Affiliation LLR Molecular Haematology Unit, NDCLS, John Radcliffe Hospital, Oxford, United Kingdom

  • Andrea Pellagatti,

    Affiliation LLR Molecular Haematology Unit, NDCLS, John Radcliffe Hospital, Oxford, United Kingdom

  • Carwyn Davies,

    Affiliation LLR Molecular Haematology Unit, NDCLS, John Radcliffe Hospital, Oxford, United Kingdom

  • María José Larrayoz,

    Affiliation Department of Genetics, University of Navarra, Pamplona, Spain

  • Toshinori Kondo,

    Affiliation Division of Hematology, Kawasaki Medical School, Okayama, Japan

  • Cristina Pérez,

    Affiliation Laboratory of Myeloproliferative Syndromes, Oncology Area, Foundation for Applied Medical Research, Clínica Universitaria, Universidad de Navarra, Pamplona, Spain

  • Sally Killick,

    Affiliation Department of Haematology, Royal Bournemouth Hospital, Bournemouth, United Kingdom

  • Emma-Jane McDonald,

    Affiliation Department of Haematology, Royal Bournemouth Hospital, Bournemouth, United Kingdom

  • María Dolores Odero,

    Affiliations Department of Genetics, University of Navarra, Pamplona, Spain, Division of Oncology, Center for Applied Medical Research, Universidad de Navarra, Pamplona, Spain

  • Xabier Agirre,

    Affiliation Division of Cancer and Area of Cell Therapy and Hematology Service, Foundation for Applied Medical Research, Clínica Universitaria, Universidad de Navarra, Pamplona, Spain

  • Felipe Prósper,

    Affiliation Division of Cancer and Area of Cell Therapy and Hematology Service, Foundation for Applied Medical Research, Clínica Universitaria, Universidad de Navarra, Pamplona, Spain

  • María José Calasanz,

    Affiliation Department of Genetics, University of Navarra, Pamplona, Spain

  • James S. Wainscoat,

    Affiliation LLR Molecular Haematology Unit, NDCLS, John Radcliffe Hospital, Oxford, United Kingdom

  • Jacqueline Boultwood

    jacqueline.boultwood@ndcls.ox.ac.uk

    Affiliation LLR Molecular Haematology Unit, NDCLS, John Radcliffe Hospital, Oxford, United Kingdom

Abstract

Acute myeloid leukemia patients with normal cytogenetics (CN-AML) account for almost half of AML cases. We aimed to study the frequency and relationship of a wide range of genes previously reported as mutated in AML (ASXL1, NPM1, FLT3, TET2, IDH1/2, RUNX1, DNMT3A, NRAS, JAK2, WT1, CBL, SF3B1, TP53, KRAS and MPL) in a series of 84 CN-AML cases. The most frequently mutated genes in primary cases were NPM1 (60.8%) and FLT3 (50.0%), and in secondary cases ASXL1 (48.5%) and TET2 (30.3%). We showed that 85% of CN-AML patients have mutations in at least one of ASXL1, NPM1, FLT3, TET2, IDH1/2 and/or RUNX1. Serial samples from 19 MDS/CMML cases that progressed to AML were analyzed for ASXL1/TET2/IDH1/2 mutations; seventeen cases presented mutations of at least one of these genes. However, there was no consistent pattern in mutation acquisition during disease progression. This report concerns the analysis of the largest number of gene mutations in CN-AML studied to date, and provides insight into the mutational profile of CN-AML.

Introduction

Acute myeloid leukemia (AML) is a heterogeneous disease in terms of karyotype and molecular abnormalities. The discovery of the classic karyotype abnormalities in AML such as the t(15;17) has been invaluable in enabling more accurate prognostic estimates, the development of specific therapies and the molecular monitoring of disease. However, approximately half of AML patients have no karyotype abnormality (CN-AML). This group of AML cases is presumably heterogeneous in all respects, and molecular monitoring is not possible unless there is an associated mutation. Recently it has been demonstrated that mutations of FLT3, NPM1 and CEBPA genes are preferentially found in CN-AML. [1] Nevertheless many cases do not possess such mutations and this imposes a severe limitation in understanding their specific pathophysiology and monitoring disease progression. We have chosen to study CN-AML with the aim of finding a restricted panel of genes which are mutated in the majority of cases. In a series of 84 CN-AML patients, we examined 16 genes with mutations that had previously been described in cases of CN-AML (Table S1). [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17] The characterisation of cases by the presence or absence of mutations in these selected genes should allow a molecular dissection of cases of CN-AML into different biological and prognostic groups, as well as achieving the long sought after goal of molecular monitoring of CN-AML.

Design and Methods

Patients

A total of 84 AML patients (mean age 64, range 16 to 86, 23 patients under 60; 52 male, 32 female) with no cytogenetic abnormalities were recruited for mutational analysis, including 51 primary cases (mean age 60, range 16 to 86, 20 patients under 60; 27 male, 24 female) and 33 cases secondary to either MDS (n = 24) or CMML (n = 9) (mean age 70, range 51 to 81, 3 patients under 60; 25 male, 8 female). The karyotype was investigated again at the time of transformation in 31 of the 33 secondary cases, and found to be normal. An additional 100 cases were investigated for mutations in ASXL1 from AML patients showing different karyotypic abnormalities. Some of the cases included in the present study (16 CN-AML and 51 cases with aberrant cytogenetics) have been previously analyzed for ASXL1 exon 12 mutations, and results reported elsewhere. [18] All karyotypes were analyzed by conventional G-banding in at least 30 metaphases. Samples showing inv(16), t(8;21) or t(15;17) at karyotype were subjected to confirmation by molecular techniques. This study was approved by the ethics committees of the institutes involved: the John Radcliffe Hospital (Oxford 06/Q1606/110), the Royal Bournemouth Hospital (Bournemouth 9991/03/E) and the University of Navarre (Pamplona IRB00006933); written informed consent was received from all patients.

DNA sequencing and analysis

Genomic DNA was isolated from patient bone marrow or peripheral blood samples. Primers and PCR conditions for the 16 genes analyzed are detailed in Table S2. Relevant regions were selected for analysis (Table S2): exons 12 of ASXL1 (NM_015338.5) and NPM1 (NM_002520), exons 11 and 17 of FLT3 (NM_004119), exon 14 of JAK2 (NM_004972), entire coding region of TET2 (NM_001127208.2), Exons 4 of IDH1 (NM_005896) and IDH2 (NM_002168), exons 3 to 8 of RUNX1 (NM_001001890), exons 7–9 of CBL (NM_005188), exons 9 and 10 of MPL (NM_005373), exons 3 to 9 of TP53 (NM_000546), exons 2 and 3 of NRAS (NM_002524.4) and KRAS (NM_033360), Exons 4 to 9 of WT1 (NM_024426), exons 7 to 23 of DNMT3A (NM_022552) and exons 12 to 16 of SF3B1 (NM_012433.2). PCR was performed using ThermoStart PCR Master Mix (Thermo Fisher Scientific), following the manufacturer's protocol. PCR products were purified and bidirectionally sequenced using the BigDye Terminator v1.1 cycle sequencing kit (Applied Biosystems, Foster City, CA, USA) and an ABI 3100 Genetic Analyzer. Sequence data were analyzed using Mutation Surveyor V3.25 (Softgenetics, State College, PA, USA). Two sided Fisher's exact test was performed to compare mutation frequencies in primary versus secondary cases, and in the analysis of cooperating mutations.

Results and Discussion

A total of 84 CN-AML patients were recruited for mutational analysis, including 51 primary cases and 33 cases secondary to either MDS (n = 24) or CMML (n = 9). The 16 genes analyzed were: ASXL1, NPM1, FLT3, TET2, IDH1, IDH2, RUNX1, DNMT3A, NRAS, JAK2, WT1, CBL, SF3B1, TP53, KRAS and MPL. The regions analysed for each gene are detailed in Table S2. The frequencies of mutation are shown in Table 1. The most frequently mutated genes in primary cases were NPM1 (60.8%) and FLT3 (50.0%), and in secondary cases ASXL1 (48.5%) and TET2 (30.3%).

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Table 1. Frequency of mutations in normal karyotype AML samples.

https://doi.org/10.1371/journal.pone.0042334.t001

An analysis of the mutations occurring in more than 10% of cases revealed statistically significant associations (Figure 1, Table S3). In agreement with previous reports, FLT3 and DNMT3A mutations were significantly associated with NPM1 mutations, [12] whereas patients with ASXL1 mutations had significantly lower incidence of NPM1 and DNMT3A mutations. [8], [9] IDH1 and IDH2 mutations were mutually exclusive. With the exception of one patient, no cases with IDH1/2 mutation also had a TET2 mutation. IDH1 and IDH2 mutations were less frequent in TET2-mutated than in TET2-wt patients, and this has been reported before. [19], [20] Concurrence of IDH1/2 and ASXL1 mutations was also a relatively infrequent event in our patient cohort (Figure 1). This observation is in agreement with a report on a series of 63 AML secondary to MPN cases. [3]

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Figure 1. Concurrence of mutations in 16 genes analyzed in CN-AML samples.

Columns show results for each of the 84 analysed cases. Solid boxes indicate mutated cases. Grey boxes mark unavailable data. FLT3-ITD mutations are indicated with top-half solid boxes and FLT3-TKD with bottom-half solid boxes. Similarly, IDH2-R140Q mutations are shown with top-half solid boxes and IDH2-R172K with bottom-half solid boxes.

https://doi.org/10.1371/journal.pone.0042334.g001

ASXL1 mutations were significantly more frequent in secondary AML compared to de novo AML cases (primary cases: 2/51, 3.9%; secondary to MDS/CMML: 16/33, 48.5%, p<0.0001). We have previously reported a high prevalence of ASXL1 mutations in advanced MDS. [18] NPM1, FLT3, and DNMT3A mutations were significantly more common in primary CN-AML than in secondary AML cases (Table 1). NRAS, JAK2, SF3B1 and TP53 mutations were exclusively present in secondary AML samples (Table 1). Only 9.5% of the samples analyzed (8/84, 6 de novo and 2 post-MDS cases) showed no mutation in any of the genes tested. When considering only the ASXL1, NPM1, FLT3, TET2, IDH1/2 and RUNX1 gene analysis, 88% of de novo CN-AML included in this series presented at least one molecular marker. For secondary cases, 85% of patients carried mutations in at least one of these 7 genes.

Recent reports showed that DNMT3A mutations are associated with a poor outcome in AML, [21], [22] and that the location of the mutations could have an impact in age-related risk classification. [23] It is worth noting that in our series, DNMT3A was not found as a sole mutation suggesting that additional aberrations are needed to sustain leukemogenic development.

Approximately 70% of CN-AML cases secondary to either MDS or CMML presented mutations in at least one of ASXL1, TET2, IDH1 or IDH2 genes. Therefore, we chose to assess the presence and chronology of ASXL1, TET2 and IDH1/2 mutational events, in order to investigate whether they could have a role in disease development or evolution. We studied 15 MDS and 4 CMML cases that progressed to AML, for which at least two samples at different time-points were available. Remarkably, with the exception of two patients all of them possessed at least one gene mutation at some stage of the disease. The majority showed the same mutations at early and later stages of the disease, except one patient who developed an IDH1 mutation at transformation, a second patient with a TET2 mutation who acquired an additional ASXL1 mutation at transformation, and another patient who developed a nonsense mutation of ASXL1 at AML stage, and showed rapid disease evolution (Table 2). On the basis of this study we therefore did not find any consistent patterns in mutation acquisition. A sensitive mutation analysis (such as allele-specific PCR) at early stages of AML in future studies could help clarify whether the mutations found in cases from later stage AML were already present as a minor pre-existing clone at the earlier stage, and if so, how it evolved as the disease progressed to AML.

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Table 2. Mutational analysis of serial samples from patients in transformation.

https://doi.org/10.1371/journal.pone.0042334.t002

In order to investigate whether the observed low incidence of ASXL1 mutations is a specific characteristic of karyotypically normal de novo cases, or is a common feature of other subtypes of primary AML, we screened an additional cohort of 100 primary AML, including the most common karyotypic subgroups. Overall, only 8 out of 100 cases showed nonsense or frameshift mutations (8%) (Table S4), confirming that ASXL1 mutations are less common in primary AML than in secondary AML.

This report concerns the analysis of the largest number of gene mutations in CN-AML studied to date. Our results show that 85% of CN-AML patients have mutations in one or more of 7 selected genes (ASXL1, NPM1, FLT3, TET2, IDH1/2 and RUNX1). This finding will facilitate further analysis of this important group of patients by enabling CN-AML patients to be subdivided into groups with common mutation patterns. Detailed studies of the CN-AML subgroups in regard to their hematological features, prognosis, disease progression and treatment response will now be facilitated.

Supporting Information

Table S1.

Relevant literature on mutations of AML patients. ND = not done. CN = cytogenetically normal. MPN = myeloproliferative neoplasm. Yo = years old. CBF = core binding factor. APL = acute promyelocytic leukemia.

https://doi.org/10.1371/journal.pone.0042334.s001

(PDF)

Table S2.

Primers and PCR conditions. PCR was performed using ThermoStart PCR Master Mix (Thermo Fisher Scientific), following the manufacturer's protocol, 35 cycles, unless otherwise stated, using indicated annealing temperature. The same primers were used for Sanger sequencing unless otherwise stated.

https://doi.org/10.1371/journal.pone.0042334.s002

(PDF)

Table S3.

Double-sided Fisher's exact test analysis of cooperation between most frequent mutations in normal karyotype AML samples.

https://doi.org/10.1371/journal.pone.0042334.s003

(PDF)

Table S4.

ASXL1 mutations in 100 de novo AML cases with aberrant cytogenetics.

https://doi.org/10.1371/journal.pone.0042334.s004

(PDF)

Acknowledgments

The authors would like to thank the patients who accepted to participate in this study. The authors would also like to thank all co-workers in their laboratories for their technical assistance as well as all physicians for referring patient material to their centers.

Author Contributions

Conceived and designed the experiments: JB JSW. Performed the experiments: MFM BHY AP CD MJL TK CP. Analyzed the data: MFM BHY AP CD MJL TK CP. Contributed reagents/materials/analysis tools: SK EJM MJC MDO XA FP. Wrote the paper: MFM AP CD JSW JB.

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