Literature DB >> 22905207

Single nucleotide polymorphism array lesions, TET2, DNMT3A, ASXL1 and CBL mutations are present in systemic mastocytosis.

Fabiola Traina1, Valeria Visconte, Anna M Jankowska, Hideki Makishima, Christine L O'Keefe, Paul Elson, Yingchun Han, Fred H Hsieh, Mikkael A Sekeres, Raghuveer Singh Mali, Matt Kalaycio, Alan E Lichtin, Anjali S Advani, Hien K Duong, Edward Copelan, Reuben Kapur, Sara T Olalla Saad, Jaroslaw P Maciejewski, Ramon V Tiu.   

Abstract

We hypothesized that analysis of single nucleotide polymorphism arrays (SNP-A) and new molecular defects may provide new insight in the pathogenesis of systemic mastocytosis (SM). SNP-A karyotyping was applied to identify recurrent areas of loss of heterozygosity and bidirectional sequencing was performed to evaluate the mutational status of TET2, DNMT3A, ASXL1, EZH2, IDH1/IDH2 and the CBL gene family. Overall survival (OS) was analyzed using the Kaplan-Meier method. We studied a total of 26 patients with SM. In 67% of SM patients, SNP-A karyotyping showed new chromosomal abnormalities including uniparental disomy of 4q and 2p spanning TET2/KIT and DNMT3A. Mutations in TET2, DNMT3A, ASXL1 and CBL were found in 23%, 12%, 12%, and 4% of SM patients, respectively. No mutations were observed in EZH2 and IDH1/IDH2. Significant differences in OS were observed for SM mutated patients grouped based on the presence of combined TET2/DNMT3A/ASXL1 mutations independent of KIT (P = 0.04) and sole TET2 mutations (P<0.001). In conclusion, TET2, DNMT3A and ASXL1 mutations are also present in mastocytosis and these mutations may affect prognosis, as demonstrated by worse OS in mutated patients.

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Year:  2012        PMID: 22905207      PMCID: PMC3419680          DOI: 10.1371/journal.pone.0043090

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Mastocytosis is a heterogeneous disease characterized by an accumulation of mast cells (MC) in one or more organs [1], [2]. MCs are derived from CD34+/KIT+ pluripotent hematopoietic cells in the bone marrow [3]. The clinical course of mastocytosis ranges from ‘asymptomatic’ with normal life expectancy to ‘highly aggressive’ [4]. The 2008 World Health Organization (WHO) classification defines 7 disease-variants: cutaneous mastocytosis (CM), indolent systemic mastocytosis (ISM), SM with an associated clonal hematological non-MC-lineage disease (SM-AHNMD), aggressive SM (ASM), MC leukemia (MCL), MC sarcoma (MCS), and extracutaneous mastocytoma. SM is defined by major and minor SM-criteria, requiring at least one major and one minor or at least three minor SM-criteria to make the diagnosis [5]. The natural history of SM varies significantly between patients; patients with indolent forms do extremely well while some aggressive subtypes may rapidly progress to leukemia. The molecular pathogenesis of mastocytosis involves the acquisition of KIT mutations, particularly D816V, which is present in many cases and confers resistance to imatinib [6]–[9]. Despite the availability of diagnostic criteria, new predictive and prognostic biomarkers are needed [10]. We hypothesized that analysis of molecular defects in mastocytosis may shed light on the disease pathogenesis and possibly convey prognostic information that may help in the diagnosis and selection of rational therapies. SM, systemic mastocytosis; ISM, indolent SM; SM-AHNMD, SM with associated non-mast cell lineage disease; ASM, aggressive SM; MSC, mast cell sarcoma; M, male; F, female; AST, aspartate aminotransferase; LDH, lactate dehydrogenase. NA, not available. Includes pruritis, flushing, urticaria, and angioedema. Includes weight loss, fever, chills, and night sweats. Includes headache, dizziness/lightheadedness, syncope/presyncope, hypotension, anaphylaxis, palpitation/tachycardia, bronchoconstriction/wheezing, and peptic ulcer disease. Weight loss of >10% of normal body weight over a period of 6 months or less. Palpable splenomegaly or hepatomegaly. Lymphadenopathy on palpation or imaging. The diagnosis of mast cell sarcoma was made based on a right femoral biopsy (patient 16). One patient with ISM had anemia at the time of sampling; the causes of anemia were bacterial endocarditis and renal insufficiency related to a proliferative glomerulonephritis (patient 12 of Table 2).
Table 2

Mutational status in patients with systemic mastocytosis.

DiseaseSamplePatient KIT TET2 DNMT3A ASXL1 IDH1/2 EZH2 CBL
ISM ‡ II PB 1 wtwtwtwtwtwtwt
PB 2 wtwtwtmutantwtwtwt
PB 3 mutantwtwtwtwtwtwt
PB 4 wtwtwtwtwtwtwt
PB 5 wtwtwtwtwtwtwt
BM 6 wtwtmutantwtwtwtwt
PB 7 mutantmutantmutantwtwtwtwt
PB 8 wtwtwtwtwtwtwt
BM 9 mutantwtwtwtwtwtwt
BM 10 wtwtwtwtwtwtwt
BM 11 wtwtwtwtwtwtwt
PB 12 wtwtwtwtwtwtwt
PB 13 wtwtwtwtwtwtwt
PB 14 mutantwtwtwtwtwtwt
PB 15 wtwtwtwtwtwtwt
SM-AHNMD § PB 16 * wtmutantmutantwtwtwtwt
PB 17 wtmutantwtwtwtwtmutant
BM 18 mutantmutantwtmutantwtwtwt
BM 19 mutantmutantwtmutantwtwtwt
BM 20 wtwtwtwtwtwtwt
BM 21 wtwtwtwtwtwtwt
PB 22 mutantwtwtwtwtwtwt
PB 23 mutantmutantwtwtwtwtwt
Aggressive Mastocytosis BM 24 mutantwtwtwtwtwtwt
PB 25 mutantwtwtwtwtwtwt
Mast Cell Sarcoma BM 26 wtwtwtwtwtwtwt
Total 10 6 3 3 0 0 1

ISM, indolent systemic mastocytosis; SM-AHNMD, Systemic mastocytosis with associated clonal hematological non-mast cell lineage disease; wt, wild-type.

UPD2pterp13.1 (homozygous DNMT3A mutation).

UPD4q12qter (homozygous KIT and TET2 mutation).

Patients with bone marrow mastocytosis: 1, 2, 4, 5, 6, 7, 8, 9, 10, 13, 14, 15; patients with smouldering systemic mastocytosis: 3, 11, 12.

Associated hematological non mast cell disease: chronic myelomonocytic leukemia for patients 16, 17, 18, 19 and 22; non-Hodgkin’s lymphoma for patient 20, acute myelogenous leukemia for patient 21, chronic myelomonocytic leukemia and chronic lymphocytic leukemia for patient 23.

Patients with urticaria pigmentosa: 1, 2, 4,6, 7, 9, 10, 14, 15.

One patient who fulfilled criteria for SM-AHNMD had a low tryptase level of 10.7 ng/mL which was taken at the time of AML remission (patient 17 of Table 2). In this study, we performed single nucleotide polymorphism array (SNP-A) karyotyping analysis in SM patients to define minimally affected genomic regions and identify new mutations in this disease. We also searched for TET2, DNMT3A, ASXL1, EZH2, IDH1/2 and CBL gene families mutations, given their potential clinical importance in diseases closely associated with SM like primary myelofibrosis, chronic myelomonocytic leukemia (CMML) and others [11]–[17]. Ultimately, we correlated any lesions present with clinical phenotypes and survival outcomes.

Methods

Patients

Ethics statement: The use of human samples for this study was approved by institutional review board (IRB) of the Cleveland Clinic and written informed consent for sample collection was obtained in accordance with the Declaration of Helsinki.

Single nucleotide polymorphism array-based karyotyping (SNP-A) of mastocytosis patients.

(A) Overview of all genetic aberrations found by SNP-A analysis in patients with systemic mastocytosis. Green represents gain, red represents loss, black represents somatic uniparental disomy (UPD). UPD involving the KIT and TET2 genes on chromosome 4q and UPD involving the DNMT3A gene on chromosome 2p were noted in one patient each, as indicated. (B) Representative SNP-A analysis of loss of heterozygosity (LOH), UPD, and gain by Genotyping Console v3.0. The top track of each panel shows LOH. The second track shows raw copy number for each SNP along the chromosome, while the third track shows allele calls (AA, AB, BB). Each region of genomic change is indicated by vertical black bars. We studied a total of 26 patients with SM (10 bone marrow aspirates and 16 peripheral blood samples); 15 ISM, 8 SM-AHNMD (5 CMML, 1 acute myeloid leukemia [AML], 1 non-Hodgkin’s lymphoma, and 1 CMML/chronic lymphocytic leukemia), 2 ASM and 1 MCS. The median age at sample collection was 63 years (range 13–77). The median time from diagnosis to sample collection was 23 months (range 0–521). Samples were collected at the Cleveland Clinic between 2003 and 2009. Diagnosis was assigned according to 2008 WHO classification criteria [5]. The clinical and hematologic characteristics of patients are summarized in Table 1. Karyotypic abnormalities detected by metaphase cytogenetics were found in 2/16 SM patients (13%); one patient had trisomy 8 and one patient had an inversion on chromosome 20.
Table 1

Clinical and laboratory characteristics of mastocytosis patients.

Systemic Mastocytosis
ISMSM-AHNMDASMMCSΔ
Total no. of patients15821
Age in years, median (range) 48 (20–79)76 (12–79)72 (67–76)58
Sex (M/F) 7/86/21/10/1
Clinical characteristics, N (%)
Urticaria pigmentosa 10 (67)2 (25)2 (100)NA
Cutaneous symptoms * 10 (67)2 (25)2 (100)NA
Constitutional symptoms 3 (20)1 (12.5)1 (50)NA
Mediator-related symptoms 5 (33)01 (50)NA
Weight loss § 1 (7)2 (25)1 (50)NA
Hepatomegaly II 1 (7)3 (38)1 (50)NA
Splenomegaly II 3 (20)5 (62.5)1 (50)NA
Lymphadenopathy 1 (7)00NA
Laboratory characteristics, median (range)
Hemoglobin, g/dL 13.2 (9.6–16.9) 9.6 (7.5–12.8)9.5 (9.5–9.6)15.9
White blood cell count, x109/L 7.6 (4.3–16.4)18.5 (4.1–53.4)23.2 (9.8–36.6)6.9
Eosinophil count, ×109/L 0.1 (0.01–0.8)0.3 (0–5.5)0.2 (0.1–0.3)0.2
Monocytes count, ×109/L 0. 5 (0.2–1.2)2.6 (0.53–14)1 (0.7–1.2)0.4
Platelet count, ×109/L 269 (123–405)117 (24–514)272.5 (246–299)241
Albumin, g/dL (3.5–5.0) 4.4 (2.9–5.1)4 (2.7–4.5)2.85 (2.1–3.6)4.7
Serum alkaline phosphatase, U/L (40–150) 84.5 (11–132)153.5 (75–1621)192 (167–217)76
AST, U/L (7–40) 15.5 (10–37)20 (11–97)18.5 (16–21)27
Total bilirubin, mg/dL (0–1.5) 0.5 (0.2–0.9)0.6 (0.2–1.3)0.56 (0.5–0.6)0.2
LDH, U/L (100–220) 174 (107–262)207 (144–657)403 (NA)183
Serum Tryptase, ng/mL (1.9–13.5) 70.6 (18.3–922)71.4 (10.7–324)Π 361 (157–565)9.8

SM, systemic mastocytosis; ISM, indolent SM; SM-AHNMD, SM with associated non-mast cell lineage disease; ASM, aggressive SM; MSC, mast cell sarcoma; M, male; F, female; AST, aspartate aminotransferase; LDH, lactate dehydrogenase. NA, not available.

Includes pruritis, flushing, urticaria, and angioedema.

Includes weight loss, fever, chills, and night sweats.

Includes headache, dizziness/lightheadedness, syncope/presyncope, hypotension, anaphylaxis, palpitation/tachycardia, bronchoconstriction/wheezing, and peptic ulcer disease.

Weight loss of >10% of normal body weight over a period of 6 months or less.

Palpable splenomegaly or hepatomegaly.

Lymphadenopathy on palpation or imaging.

The diagnosis of mast cell sarcoma was made based on a right femoral biopsy (patient 16).

One patient with ISM had anemia at the time of sampling; the causes of anemia were bacterial endocarditis and renal insufficiency related to a proliferative glomerulonephritis (patient 12 of Table 2).

One patient who fulfilled criteria for SM-AHNMD had a low tryptase level of 10.7 ng/mL which was taken at the time of AML remission (patient 17 of Table 2).

ISM, indolent systemic mastocytosis; SM-AHNMD, Systemic mastocytosis with associated clonal hematological non-mast cell lineage disease; wt, wild-type. UPD2pterp13.1 (homozygous DNMT3A mutation). UPD4q12qter (homozygous KIT and TET2 mutation). Patients with bone marrow mastocytosis: 1, 2, 4, 5, 6, 7, 8, 9, 10, 13, 14, 15; patients with smouldering systemic mastocytosis: 3, 11, 12. Associated hematological non mast cell disease: chronic myelomonocytic leukemia for patients 16, 17, 18, 19 and 22; non-Hodgkin’s lymphoma for patient 20, acute myelogenous leukemia for patient 21, chronic myelomonocytic leukemia and chronic lymphocytic leukemia for patient 23. Patients with urticaria pigmentosa: 1, 2, 4,6, 7, 9, 10, 14, 15. WHO, World Health Organization; SM, systemic mastocytosis; ISM, indolent SM; SM-AHNMD, SM with associated non-mast cell lineage disease; ASM, aggressive SM; MSC, mast cell sarcoma; M, male; F, female; dx, diagnosis; Age, y, years; Neg., negative; Pos., positive. UPD2pterp13.1 (homozygous mutation). UPD4q12qter (homozygous mutation). Germ-line confirmation. Mutations reported at http://www.sanger.ac.uk. Associated hematological non mast cell disease: chronic myelomonocytic leukemia. Associated hematological non mast cell disease: chronic myelomonocytic leukemia and chronic lymphocytic leukemia.

Localization of mutations identified in systemic mastocytosis.

In a cohort of 26 patients with systemic mastocytosis, 14 mutations were identified. Genomic sequencing of protein-coding regions and splice sites revealed missense (black), nonsense (orange), and frameshift mutations (blue) in TET2, DNMT3A, ASXL1, and CBL. Most mutations were found in conserved domains and specific known conserved motifs and domains are shown for each protein: cysteine-rich region (C-rich-), double strand â helix (DSBH), PWWP domain (characterized by the presence of a highly conserved proline–tryptophan–tryptophan–proline motif), ADD (ATRX, DNMT3, and DNMT3L)-type zinc finger (ZNF) domain, methyltransferase (MTase) domain, amino-terminal ASX homology (ASXN) region, ASXM domain, nuclear receptor coregulator binding (NR box) motifs, carboxyterminal plant homeodomain (PHD) domain, tyrosine kinase binding (TKB) domain, linker sequence (L), RF domain (RF), proline-rich region (PPP), and leucine zipper LZ/ubiquitin-associated domain (UBA). Two changes occurred in a homozygous state, as indicated by the symbol # and the others in heterozygous state.

Single Nucleotide Polymorphism Array (SNP-A) Analysis

Mononuclear cells (MNCs) from bone marrow or peripheral blood samples were separated on Ficoll Hypaque density gradients (1.077) at 400 g for 30 min. Genomic DNA from MNCs cells was extracted using Gentra Puregene DNA Extraction kit (Gentra Systems, Inc., MN) according to the manufacturer’s instructions. The Affymetrix GeneChip Human Mapping 250 K Array and Genome-Wide Human SNP Array 6.0 (Affymetrix, Santa Clara, CA) were used for SNP-A analysis of genomic DNA as previously described [18], [19]. Germ-line encoded copy number variants (CNVs) and non-clonal areas of uniparental disomy (UPD) were excluded from further analysis by utilizing a bioanalytic algorithm which was based on the results of SNP-A karyotyping [11], [13] in an internal control series (n = 1003) and reported in the Database of Genomic Variants (http://projects.tcag.ca/variation/; accessed February 4, 2009. Symbols and Abbreviations: AST, aspartate aminotransferase, LDH, Lactate dehydrogenase, wt, wild-type; NA, not available. Includes pruritus, flushing, urticaria, and angioedema. Includes weight loss, fever, chills, and night sweats. Includes headache, dizziness/lightheadedness, syncope/presyncope, hypotension, anaphylaxis, palpitation/tachycardia, bronchoconstriction/wheezing, and peptic ulcer disease. Weight loss of >10% of normal body weight over a period of 6 months or less. Palpable splenomegaly or hepatomegaly. Lymphadenopathy on palpation or imaging.

Mutational Analysis of Patients with Mastocytosis

We sequenced KIT, TET2, DNMT3A, ASXL1, EZH2, IDH and CBL gene families in all 26 patients. Direct genomic sequencing was performed on coding exons, for KIT (exon 17), TET2 (all exons), DNMT3A (all exons), ASXL1 (exon 12), EZH2 (all exons), IDH1 (exon 4), IDH2 (exon 4), CBL (exons 8–9), CBLB (exons 9–10), and CBLC (exons 7–8) as previously described [11]–[14], [20], [21]. Primer sequences and conditions used are described in . For germ-line confirmation, mutations were analyzed in non-clonal CD3+ cells when DNA was available. Bidirectional sequencing was performed by standard techniques using an ABI 3730×l DNA analyzer (Applied Biosystems, Foster City, CA). All mutations were scored as pathogenic on the basis of the observation that they were not detected in normal samples and were not found in published SNP databases (dbSNP, http://www.ncbi.nlm.nih.gov/projects/SNP) and/or they were not reported as SNPs in previous publications.

Kaplan-Meier survival curves estimated according to presence of specific mutations or accumulation of several mutations in patients with systemic mastocytosis.

Differences in OS for SM patients are shown (A-B). For each group number of analyzed cases and P value are presented, respectively.

Statistical Analysis

Fisher’s exact test for the analysis of categorical data and the exact Wilcoxon rank sum test were used for measured data. Overall survival (OS) was measured from the day of sampling to last follow up or death from any cause (patients lost to follow-up were censored) and was summarized using the Kaplan-Meier method. Univariable analyses were conducted using exact logrank test and Tarone-Ware trend tests. Multivariable analyses were not performed due to the small number of patient deaths. Results were analyzed for data collected as of January 2011. All p values were two sided and p values ≤.05 indicated statistical significance. Statistical analyses were performed using SAS version 9.1 (SAS Inc., Cary, NC) and StatXact-9 (Cytel Inc., Cambridge, MA).

Results

SNP-A-based Detection of Karyotypic Abnormalities in Systemic Mastocytosis

SNP-A karyotyping allows for the identification of not only submicroscopic copy number changes but also somatic UPD, not amenable to detection using routine metaphase cytogenetics. SNP-A-based karyotyping was performed on a subset of patients with SM (n = 18; 7 bone marrow aspirates and 11 peripheral blood samples). For the purpose of this study, we only included lesions which did not overlap with CNVs and germ- line regions of homozygosity present in an internal control cohort and external databases (see Methods). SNP-A analysis identified a total of 22 new lesions (14 gains, 3 losses, and 5 UPD) in 12 patients (5 ISM, 5 SM-AHNMD, 1 ASM and 1 MCS). The frequency of SNP-A lesions was 57% (4/7) in bone marrow and 72% (8/11) in peripheral blood samples. The most frequently affected chromosomes were 2, 7, 12, 13, 14 and X. Somatic UPD was only found in SM-AHNMD and ASM and it involved chromosomes 2p, 4q, 7p and 13q. UPD4q spanning KIT (4q12) and TET2 (4q24), and UPD2p spanning DNMT3A (2p23), were observed in one case each (Fig. 1A, B) (Table 1). Based on the paradigm that areas of somatic UPD contain homozygous mutations, we sequenced TET2 and DNMT3A. We also searched for mutations in other genes known to be involved in myeloid diseases that share pathophysiologic, morphologic, and clinical similarities with mastocytosis, such as CMML and myelofibrosis [15], [22].
Figure 1

Single nucleotide polymorphism array-based karyotyping (SNP-A) of mastocytosis patients.

(A) Overview of all genetic aberrations found by SNP-A analysis in patients with systemic mastocytosis. Green represents gain, red represents loss, black represents somatic uniparental disomy (UPD). UPD involving the KIT and TET2 genes on chromosome 4q and UPD involving the DNMT3A gene on chromosome 2p were noted in one patient each, as indicated. (B) Representative SNP-A analysis of loss of heterozygosity (LOH), UPD, and gain by Genotyping Console v3.0. The top track of each panel shows LOH. The second track shows raw copy number for each SNP along the chromosome, while the third track shows allele calls (AA, AB, BB). Each region of genomic change is indicated by vertical black bars.

Mutations in TET2, DNMT3A, ASXL1, EZH2, IDH and CBL Families in Systemic Mastocytosis

We sequenced TET2, DNMT3A, ASXL1, EZH2 and the IDH1/2 and CBL gene families in patients with SM identifying 14 mutations in 8/26 (31%) patients. By sample source, mutations involving these genes were found in 31% (5/16) in peripheral blood and 30% (3/10) in bone marrow samples. A total of 7 TET2 mutations were found in 6/26 (23%) patients, including one patients with 2 mutations (3 frameshift, 2 nonsense, and 2 missense). TET2 mutational frequencies for ISM and SM-AHNMD were 7% (1/15), and 62% (5/8), respectively. The majority of TET2 mutations were heterozygous, except for one homozygous mutation that was found in a patient with UPD4q. Only one patient (# 7) with ISM was found to be mutated for TET2. This patient had 3 minor criteria for SM: presence of KIT mutation, bone marrow with mast cells positive for CD2 and CD25 (less than 30% of mast cells in bone marrow) and persistently elevated serum tryptase levels (31 ng/mL). The bone marrow of this patient did not demonstrate any dysplastic changes nor increased bone marrow blasts to suggest an underlying myeloid neoplasm like CMML or MDS. DNMT3A mutations were found in 3/26 (12%) patients, 2/15 ISM (13%), and 1/8 (12.5%) SM-AHNMD. All DNMT3A were missense mutations, including two heterozygous and one homozygous mutation, which were found in a SM-AHNMD patient with UPD2p. We also detected ASXL1 heterozygous mutations (1 frameshift, 1 nonsense, and 1 missense) in 3/26 (12%) patients with SM. ASXL1 mutations were found in 1/15 ISM and 2/8 SM-AHNMD. Moreover, the controversial ASXL1 variant, c.1934dupG p.Gly646TrpfsX12, was found in two patients with SM-AHNMD (CMML) which also had other mutations (patient 22 and 23). This variant was not considered a mutation in our cohort, as it has been recently reported not to be a somatic mutation but rather an artifact [23]. A heterozygous CBL mutation was found in one patient with SM-AHNMD. Among the patients with SM-AHNMD, all mutated patients had CMML as the associated non-mast cell disease. Of note, KIT sequencing showed D816V in 38% of SM patients (ISM, 27%; SM-AHNMD, 50%; ASM, 100%), including one homozygous mutation in a patient with UPD4q. The frequency of KIT mutations were 37% (6/16) in peripheral blood and 60% (6/10) in bone marrow samples. No mutations were found in EZH2, IDH1/2, CBLB, and CBLC. Interestingly, 6 patients, 5/8 (62%) of patients with SM-AHNMD and 1/15 (7%) of patients with ISM, were found to have >1 mutation: KIT and TET2 in 1, KIT/TET2/DNMT3A in 1, KIT/TET2/ASXL1 in 2, TET2/DNMT3A in 1, and TET2/CBL in 1 patient (mutant cases and the corresponding clinical and molecular features are presented in Table 2, 3). A graphical overview of the mutations in affected genes is shown in Fig. 2A.
Table 3

Characteristics of patients carrying TET2, DNMT3A, ASXL1 and CBL family mutation.

PatientWHO dxSexAge,yCytogenetics KIT D816VNew mutations
GeneExonNucleotide changeAmino acid change
2ISMM62NANeg. ASXL1 12c.3658A>TI1220F
6ISMF77NANeg. DNMT3A 3c.89A>CE30A
7ISMM72NAPos. TET2 3c.1226_1229delCTCCP409fsX17
TET2 8c.4011T>AY1337X
DNMT3A 23c.2645G>AR882H §
16SM-AHNMDII F7546,XX [20] Neg. TET2 3c.3058C>TQ1020X
DNMT3A 19c.2312G>AR771Q * §
17SM-AHNMDII M7546,XY [20] Neg. TET2 3c.1955_1955delAQ652fsX48 §
CBL 8c.1101_1102insCAAIns368Q
18SM-AHNMDII F7246,XX [20] Pos. TET2 11c.5618T>CI1873T ‡ §
ASXL1 12c.2757_2758insAP920fsX4
19SM-AHNMDII M7446,XY,?inv(20)(q11.2q13) [20] Pos. TET2 11c.5711A>GH1904R §
ASXL1 12c.1772_1773insAY591X §
23SM-AHNMD M7546,XY,add(8)(q24) [20] Pos. TET2 3c.4delGE2fsX13

WHO, World Health Organization; SM, systemic mastocytosis; ISM, indolent SM; SM-AHNMD, SM with associated non-mast cell lineage disease; ASM, aggressive SM; MSC, mast cell sarcoma; M, male; F, female; dx, diagnosis; Age, y, years; Neg., negative; Pos., positive.

UPD2pterp13.1 (homozygous mutation).

UPD4q12qter (homozygous mutation).

Germ-line confirmation.

Mutations reported at http://www.sanger.ac.uk.

Associated hematological non mast cell disease: chronic myelomonocytic leukemia.

Associated hematological non mast cell disease: chronic myelomonocytic leukemia and chronic lymphocytic leukemia.

Figure 2

Localization of mutations identified in systemic mastocytosis.

In a cohort of 26 patients with systemic mastocytosis, 14 mutations were identified. Genomic sequencing of protein-coding regions and splice sites revealed missense (black), nonsense (orange), and frameshift mutations (blue) in TET2, DNMT3A, ASXL1, and CBL. Most mutations were found in conserved domains and specific known conserved motifs and domains are shown for each protein: cysteine-rich region (C-rich-), double strand â helix (DSBH), PWWP domain (characterized by the presence of a highly conserved proline–tryptophan–tryptophan–proline motif), ADD (ATRX, DNMT3, and DNMT3L)-type zinc finger (ZNF) domain, methyltransferase (MTase) domain, amino-terminal ASX homology (ASXN) region, ASXM domain, nuclear receptor coregulator binding (NR box) motifs, carboxyterminal plant homeodomain (PHD) domain, tyrosine kinase binding (TKB) domain, linker sequence (L), RF domain (RF), proline-rich region (PPP), and leucine zipper LZ/ubiquitin-associated domain (UBA). Two changes occurred in a homozygous state, as indicated by the symbol # and the others in heterozygous state.

Clinical Impact of Mutations Found in Systemic Mastocytosis

Among the new molecular markers studied, TET2 were the most commonly mutated gene. The prognostic significance of KIT mutations has been previously reported [24]. However, the effects of TET2 and other novel mutations on survival have not been established in SM. Although the number of patients was small, patients with SM-AHNMD showed TET2 mutations more frequently than patients with other subtypes (63% [5/8] vs. 0–7%, P = 0.02). In general, those with TET2 mutations tended to be older (median age 76 vs. 54, P = 0.01), had higher absolute monocyte counts (median 2.62 vs. 0.53, P = 0.009) and lower platelets counts (median 110 vs. 266, P = 0.009) compared to wild type patients (Table 4).
Table 4

Clinical and laboratory features of mastocytosis patients stratified according to TET2 mutations.

TET2 wt TET2 mutant P value
Total no. of patients206
Age in years, median (range) 54 (12–79)76 (73–77) 0.01
Sex (M/F) 10/102/40.65
Clinical characteristics, N (%)
Urticaria pigmentosa 11 (55)3 (52)1.0
Cutaneous symptoms * 12 (60)2 (33)0.37
Constitutional symptoms 4 (20)1 (17)1.0
Mediator-related symptoms 6 (30)00.28
Weight loss § 2 (10)2 (33)0.22
Hepatomegaly II 2 (10)3 (50)0.06
Splenomegaly II 5 (25)4 (67)0.14
Lymphadenopathy 1 (5)01.0
Laboratory characteristics, median (range)
Hemoglobin, g/dL 12.6 (7.5–16.9)9.7 (8.6–13.0)0.08
White blood cell count, ×109/L 8.2 (4.1–36.6)26.0 (4.3–53.4)0.32
Eosinophil count, ×109/L 0.2 (0.02–5.5)0.3 (0–0.8)0.95
Monocytes count, ×109/L 0.5(0.2–4.9)2.6(0.42–14.0) 0.009
Platelet count, ×109/L 266(111–514)110(24–329) 0.009
Albumin, g/dL (3.5–5.0) 4.3(2.1–5.1)4.1(3.7–4.5)0.59
Serum alkaline phosphatase, U/L (40–150) 96(11–217)154(75–1621)0.09
AST, U/L (7–40) 16(10–97)22(11–61)0.23
Total bilirubin, mg/dL (0–1.5) 0.5(0.2–.9)0.8(0.5–1.3)0.08
LDH, U/L (100–220) 174(107–403)207(176–657)0.14
Serum Tryptase, ng/mL (1.9–13.5) 71.0(9.8–922.0)129.0(31.0–324.0)0.79

Symbols and Abbreviations: AST, aspartate aminotransferase, LDH, Lactate dehydrogenase, wt, wild-type; NA, not available.

Includes pruritus, flushing, urticaria, and angioedema.

Includes weight loss, fever, chills, and night sweats.

Includes headache, dizziness/lightheadedness, syncope/presyncope, hypotension, anaphylaxis, palpitation/tachycardia, bronchoconstriction/wheezing, and peptic ulcer disease.

Weight loss of >10% of normal body weight over a period of 6 months or less.

Palpable splenomegaly or hepatomegaly.

Lymphadenopathy on palpation or imaging.

Among patients with SM, 8 died at a median of 17.3 months (range 4.9 - 51.0 months) from the time of sample collection (ISM, n = 1; SM-AHNMD, n = 5; ASM, n = 2). Median follow-up for the 18 patients still alive is 23.6 months (range 0.6 - 89.1 months). Overall, 1- and 2-year survival was estimated to be 95%±4% and 69%±11%, respectively. SM patients with cytogenetic abnormalities detected by SNP-A karyotyping showed no difference in OS (data not shown). However, significant differences in OS were observed when patients were grouped based on the presence of mutations. Patients with TET2, DNMT3A and/or ASXL1 mutations independent of KIT status, had a worse OS than those with wild-type genes (P = 0.04; Fig. 3A). Similarly, TET2 mutations appeared to confer a poor prognosis (P<0.001; Fig. 3B).
Figure 3

Kaplan-Meier survival curves estimated according to presence of specific mutations or accumulation of several mutations in patients with systemic mastocytosis.

Differences in OS for SM patients are shown (A-B). For each group number of analyzed cases and P value are presented, respectively.

Discussion

TET2 mutations are the most recent genetic lesions described in mastocytosis. Tefferi et al reported a screening of TET2 mutations in 42 cases, finding the lesion in 29% of cases [25]. In addition to TET2 sequencing, we applied whole genome scanning technologies in our mastocytosis cohort in order to interrogate the genome for the presence of new genetic alterations in this disease. Although the small sample size and the random nature of the SNP-A defects in our cohort did not allow for more definitive survival analysis, we were able to detect new karyotypic defects in mastocytosis cases, including regions of UPD. The identification of UPD2p in a patient with SM-AHNMD (CMML) indicated the occurrence of DNMT3A mutations in mastocytosis, which was confirmed by the detection of a homozygous mutation in this patient and two heterozygous mutations in other 2 patients with ISM. Although one patient (patient 22) with SM-AHNMD had UPD7q flanking the region of EZH2, no mutations in EZH2 were found in the cohort of mastocytosis patients. It is possible that mutations in EZH2 will be found if a larger number of SM patients would be screened. IDH family mutations confer an enzymatic gain of function that increases 2-hydroxyglutarate (2HG) and consequently heterozygous acquisition of these mutations may be sufficient to facilitate malignant progression [26]–[28]. No IDH mutations were found supporting previous findings that TET2 and IDH are mutually exclusive [27]. ASXL1 gene is involved in the regulation of histone methylation by cooperation with heterochromatin protein-1 to modulate the activity of LSD1 [29], [30] and ASXL1 mutation was found in three patient with mastocytosis. The identification of TET2, DNMT3A and ASXL1 mutations in mastocytosis suggest that these defects may alter the epigenetic machinery of the hematopoietic cells in myeloid malignancies, including mastocytosis. Interestingly, a CBL mutation was found in only one patient with SM-AHNMD (CMML) and it occurred in conjunction with a TET2 mutation. Mutations involving genes like TET2, DNMT3A, ASXL1, EZH2, IDH1/2 and CBL are found in typical CMML cases not associated with mastocytosis. When CMML with SM cases were compared against CMML without SM, a higher frequency of TET2 mutations was noted in CMML with SM patients (83% vs 35–49% [11], [31]). The frequencies of ASXL1 and CBL mutations were very similar between CMML with and without SM [31], [32]. Common clinical features observed among SM patients with TET2 mutations included older age, high absolute monocyte counts, and low platelet counts. More importantly, SM patients with TET2 mutations showed worse OS as compared with wild type patients. The significant impact of TET2, DNMT3A, and ASXL1 mutations was also statistically significant when comparing combined new molecular markers. The survival differences we found in our study, although based on a limited sample size, suggest the potential prognostic importance of these mutations in this disease. However, this will need to be further confirmed in a larger patient population. Future studies that will include a larger cohort of patients with sorted cell populations will be ideal. Most of the mutated patients included in this current study are deceased which represents a technical limitation of this study in isolating specific cell subtypes. We successfully sorted mast cells and monocytes from a new patient with ISM and urticaria pigmentosa, and a TET2 mutation (Q962X) was identified in peripheral blood MNCs, sorted monocytes and sorted mast cells, but not in CD3+ cells (data not shown). All together, these data support the hypothesis suggested by Yavuz et al [7], that mastocytosis is a clonal disorder of a pluripotential hematopoietic progenitor cell that gives rise to mast cell and non-mast cell lineages with variable expansion in the peripheral blood of patients with SM. The identification of KIT mutations in MC diseases is important because it confers resistance to protein kinase inhibitors such as imatinib [8].The frequency of the D816V KIT mutation in SM is highly variable in the literature, from 29% to virtually all cases [6], [7], [9], [25], [33], and 38% in our SM cohort. Such variability could be due to patient selection, to the sensitivity of the methods used and/or to sample source. Direct DNA sequencing has limited sensitivity in the detection of KIT mutations. Similarly, more sensitive techniques, including RT-PCR plus RFLP, PNA-mediated PCR or allele-specific PCR, when used in unmanipulated or enriched samples only produced sensitivities of ∼ 70% [2], [7]. Bone marrow cells and highly enriched (sorted or micromanipulated) MC are recommended [6], [7], [9], but enrichment is not standard in clinical practice. Interesting, in our cohort, not only KIT mutations were detected in peripheral blood samples, but also other molecular markers were identified by SNP-A. Detection of KIT mutation in peripheral blood of SM patients has already been reported by other authors [6], [7], [34]. In conclusion, our findings support the feasibility of SNP-A analysis in mastocytosis and an increasing possibility that mutations in TET2, DNMT3A, and ASXL1 represent a new class of molecular lesions conveying a clonal epigenetic instability phenotype that participates in the pathogenesis of mastocytosis. We also suggest that combined mutations and sole TET2 mutations are associated with poor OS in SM. We performed a comprehensive analysis of new molecular markers in mastocytosis and found several distinct clinical and biological characteristics of this disease entity associated with specific mutational events. Further investigations are needed to study the mechanistic significance of these mutations and their impact in diagnostic and therapeutic tools in mastocytosis. The frequent occurrence of these genetic mutations in mastocytosis may also allow for their inclusion in the list of clonal markers that may aid in the pathomorphologic classification of mastocytosis just like KIT mutations. Primers` sequences and conditions. (DOC) Click here for additional data file.
  33 in total

1.  Novel homo- and hemizygous mutations in EZH2 in myeloid malignancies.

Authors:  H Makishima; A M Jankowska; R V Tiu; H Szpurka; Y Sugimoto; Z Hu; Y Saunthararajah; K Guinta; M A Keddache; P Putnam; M A Sekeres; A R Moliterno; A F List; M A McDevitt; J P Maciejewski
Journal:  Leukemia       Date:  2010-08-19       Impact factor: 11.528

2.  The most commonly reported variant in ASXL1 (c.1934dupG;p.Gly646TrpfsX12) is not a somatic alteration.

Authors:  O Abdel-Wahab; O Kilpivaara; J Patel; L Busque; R L Levine
Journal:  Leukemia       Date:  2010-07-01       Impact factor: 11.528

3.  ASXL1 mutation is associated with poor prognosis and acute transformation in chronic myelomonocytic leukaemia.

Authors:  Véronique Gelsi-Boyer; Virginie Trouplin; Julien Roquain; José Adélaïde; Nadine Carbuccia; Benjamin Esterni; Pascal Finetti; Anne Murati; Christine Arnoulet; Hacène Zerazhi; Hacène Fezoui; Zoulika Tadrist; Meyer Nezri; Max Chaffanet; Marie-Joëlle Mozziconacci; Norbert Vey; Daniel Birnbaum
Journal:  Br J Haematol       Date:  2010-09-29       Impact factor: 6.998

4.  DNMT3A mutations in acute myeloid leukemia.

Authors:  Timothy J Ley; Li Ding; Matthew J Walter; Michael D McLellan; Tamara Lamprecht; David E Larson; Cyriac Kandoth; Jacqueline E Payton; Jack Baty; John Welch; Christopher C Harris; Cheryl F Lichti; R Reid Townsend; Robert S Fulton; David J Dooling; Daniel C Koboldt; Heather Schmidt; Qunyuan Zhang; John R Osborne; Ling Lin; Michelle O'Laughlin; Joshua F McMichael; Kim D Delehaunty; Sean D McGrath; Lucinda A Fulton; Vincent J Magrini; Tammi L Vickery; Jasreet Hundal; Lisa L Cook; Joshua J Conyers; Gary W Swift; Jerry P Reed; Patricia A Alldredge; Todd Wylie; Jason Walker; Joelle Kalicki; Mark A Watson; Sharon Heath; William D Shannon; Nobish Varghese; Rakesh Nagarajan; Peter Westervelt; Michael H Tomasson; Daniel C Link; Timothy A Graubert; John F DiPersio; Elaine R Mardis; Richard K Wilson
Journal:  N Engl J Med       Date:  2010-11-10       Impact factor: 91.245

5.  Cancer-associated metabolite 2-hydroxyglutarate accumulates in acute myelogenous leukemia with isocitrate dehydrogenase 1 and 2 mutations.

Authors:  Stefan Gross; Rob A Cairns; Mark D Minden; Edward M Driggers; Mark A Bittinger; Hyun Gyung Jang; Masato Sasaki; Shengfang Jin; David P Schenkein; Shinsan M Su; Lenny Dang; Valeria R Fantin; Tak W Mak
Journal:  J Exp Med       Date:  2010-02-08       Impact factor: 17.579

6.  ASXL1 represses retinoic acid receptor-mediated transcription through associating with HP1 and LSD1.

Authors:  Sang-Wang Lee; Yang-Sook Cho; Jung-Min Na; Ui-Hyun Park; Myengmo Kang; Eun-Joo Kim; Soo-Jong Um
Journal:  J Biol Chem       Date:  2009-10-31       Impact factor: 5.157

7.  Characterization of chromosome arm 20q abnormalities in myeloid malignancies using genome-wide single nucleotide polymorphism array analysis.

Authors:  Jungwon Huh; Ramon V Tiu; Lukasz P Gondek; Christine L O'Keefe; Monika Jasek; Hideki Makishima; Ania M Jankowska; Ying Jiang; Amit Verma; Karl S Theil; Michael A McDevitt; Jaroslaw P Maciejewski
Journal:  Genes Chromosomes Cancer       Date:  2010-04       Impact factor: 5.006

8.  Leukemic IDH1 and IDH2 mutations result in a hypermethylation phenotype, disrupt TET2 function, and impair hematopoietic differentiation.

Authors:  Maria E Figueroa; Omar Abdel-Wahab; Chao Lu; Patrick S Ward; Jay Patel; Alan Shih; Yushan Li; Neha Bhagwat; Aparna Vasanthakumar; Hugo F Fernandez; Martin S Tallman; Zhuoxin Sun; Kristy Wolniak; Justine K Peeters; Wei Liu; Sung E Choe; Valeria R Fantin; Elisabeth Paietta; Bob Löwenberg; Jonathan D Licht; Lucy A Godley; Ruud Delwel; Peter J M Valk; Craig B Thompson; Ross L Levine; Ari Melnick
Journal:  Cancer Cell       Date:  2010-12-09       Impact factor: 38.585

Review 9.  Novel mutations and their functional and clinical relevance in myeloproliferative neoplasms: JAK2, MPL, TET2, ASXL1, CBL, IDH and IKZF1.

Authors:  A Tefferi
Journal:  Leukemia       Date:  2010-04-29       Impact factor: 11.528

10.  Somatic mutations of IDH1 and IDH2 in the leukemic transformation of myeloproliferative neoplasms.

Authors:  Anthony Green; Philip Beer
Journal:  N Engl J Med       Date:  2010-01-28       Impact factor: 176.079

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  47 in total

1.  Additional mutations in SRSF2, ASXL1 and/or RUNX1 identify a high-risk group of patients with KIT D816V(+) advanced systemic mastocytosis.

Authors:  M Jawhar; J Schwaab; S Schnittger; M Meggendorfer; M Pfirrmann; K Sotlar; H-P Horny; G Metzgeroth; S Kluger; N Naumann; C Haferlach; T Haferlach; P Valent; W-K Hofmann; A Fabarius; N C P Cross; A Reiter
Journal:  Leukemia       Date:  2015-10-14       Impact factor: 11.528

2.  SF3B1 mutations are infrequently found in non-myelodysplastic bone marrow failure syndromes and mast cell diseases but, if present, are associated with the ring sideroblast phenotype.

Authors:  Valeria Visconte; Ali Tabarroki; Heesun J Rogers; Edy Hasrouni; Fabiola Traina; Hideki Makishima; Betty K Hamilton; Yang Liu; Christine O'Keefe; Alan Lichtin; Leonard Horwitz; Mikkael A Sekeres; Fred H Hsieh; Ramon V Tiu
Journal:  Haematologica       Date:  2013-07-05       Impact factor: 9.941

3.  Regulation of Stat5 by FAK and PAK1 in Oncogenic FLT3- and KIT-Driven Leukemogenesis.

Authors:  Anindya Chatterjee; Joydeep Ghosh; Baskar Ramdas; Raghuveer Singh Mali; Holly Martin; Michihiro Kobayashi; Sasidhar Vemula; Victor H Canela; Emily R Waskow; Valeria Visconte; Ramon V Tiu; Catherine C Smith; Neil Shah; Kevin D Bunting; H Scott Boswell; Yan Liu; Rebecca J Chan; Reuben Kapur
Journal:  Cell Rep       Date:  2014-11-13       Impact factor: 9.423

4.  Molecular profiling of myeloid progenitor cells in multi-mutated advanced systemic mastocytosis identifies KIT D816V as a distinct and late event.

Authors:  M Jawhar; J Schwaab; S Schnittger; K Sotlar; H-P Horny; G Metzgeroth; N Müller; S Schneider; N Naumann; C Walz; T Haferlach; P Valent; W-K Hofmann; N C P Cross; A Fabarius; A Reiter
Journal:  Leukemia       Date:  2015-01-08       Impact factor: 11.528

5.  Mutational profiling in the peripheral blood leukocytes of patients with systemic mast cell activation syndrome using next-generation sequencing.

Authors:  Janine Altmüller; Britta Haenisch; Amit Kawalia; Markus Menzen; Markus M Nöthen; Heide Fier; Gerhard J Molderings
Journal:  Immunogenetics       Date:  2017-04-06       Impact factor: 2.846

Review 6.  Midostaurin: a magic bullet that blocks mast cell expansion and activation.

Authors:  P Valent; C Akin; K Hartmann; T I George; K Sotlar; B Peter; K V Gleixner; K Blatt; W R Sperr; P W Manley; O Hermine; H C Kluin-Nelemans; M Arock; H-P Horny; A Reiter; J Gotlib
Journal:  Ann Oncol       Date:  2017-10-01       Impact factor: 32.976

7.  Loss of epigenetic regulator TET2 and oncogenic KIT regulate myeloid cell transformation via PI3K pathway.

Authors:  Lakshmi Reddy Palam; Raghuveer Singh Mali; Baskar Ramdas; Sridhar Nonavinkere Srivatsan; Valeria Visconte; Ramon V Tiu; Bart Vanhaesebroeck; Axel Roers; Alexander Gerbaulet; Mingjiang Xu; Sarath Chandra Janga; Clifford M Takemoto; Sophie Paczesny; Reuben Kapur
Journal:  JCI Insight       Date:  2018-02-22

Review 8.  Clinical Validation of KIT Inhibition in Advanced Systemic Mastocytosis.

Authors:  John H Baird; Jason Gotlib
Journal:  Curr Hematol Malig Rep       Date:  2018-10       Impact factor: 3.952

9.  Pak and Rac GTPases promote oncogenic KIT-induced neoplasms.

Authors:  Holly Martin; Raghuveer Singh Mali; Peilin Ma; Anindya Chatterjee; Baskar Ramdas; Emily Sims; Veerendra Munugalavadla; Joydeep Ghosh; Ray R Mattingly; Valeria Visconte; Ramon V Tiu; Cornelis P Vlaar; Suranganie Dharmawardhane; Reuben Kapur
Journal:  J Clin Invest       Date:  2013-09-16       Impact factor: 14.808

10.  Mastocytosis: a paradigmatic example of a rare disease with complex biology and pathology.

Authors:  Peter Valent
Journal:  Am J Cancer Res       Date:  2013-04-03       Impact factor: 6.166

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