Abstract
Acute myeloid leukemia with inv(16)(p13q22), also known as M4Eo, is a distinct type of leukemia with characteristic clinicopathologic and cytogenetic features. Patients with M4Eo have monocytosis, high blast counts, and abnormal bone marrow eosinophils that contain large basophilic granules. The inv(16)(p13q22) or, less commonly, the t(16;16)(p13;q22) causes fusion of the CBFβ gene at 16q22 and the MYH11 gene at 16p13, creating the novel chimeric protein CBFβ-MYH11. To understand the underlying molecular mechanisms unique to M4Eo biology, we determined the gene expression profile of M4Eo cases by using cDNA and long oligonucleotide microarrays. Cases of acute myelomonocytic leukemia without CBFβ-MYH11 (M4) acted as our control. We found that in the gene expression profile of M4Eo, NF-κB activators and inhibitors were upregulated and downregulated, respectively, suggesting that the NF-κB signaling pathway is activated at a higher level in M4Eo than in acute myelomonocytic leukemia M4. In addition, the gene expression profile of M4Eo indicates high cell proliferation and low apoptosis. We used real-time PCR, immunohistochemistry, and flow cytometry immunophenotyping to confirm some of our microarray data. These findings most likely represent the functional consequences of the abnormal chimeric protein CBFβ-MYH11, which is unique to this disease, and suggest that NF-κB is a potential therapeutic target for treating M4Eo patients.
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Main
Acute myeloid leukemia with inv(16)(p13q22), or rarely t(16;16)(p13;q22), has distinctive morphologic, cytogenetic, and clinical features.1 Previously known as M4Eo in the French–American–British (FAB) classification,2 this neoplasm is now defined in the World Health Organization classification by its cytogenetic and molecular abnormalities.1 In addition to a high blast count, M4Eo is characterized by monocytosis and eosinophilia with abnormal bone marrow eosinophils that contain large basophilic granules.3, 4, 5 The presence of abnormal bone marrow eosinophils morphologically distinguishes M4Eo from its counterpart, acute myelomonocytic leukemia (also known as FAB M4), which lacks eosinophilia and has no distinct cytogenetic abnormality.
The presence of inv(16)(p13q22) or t(16;16)(p13;q22) results in the fusion of two genes: the core binding factor β gene (CBFβ) at 16q22, which encodes the β-subunit of the CBF, and the MYH11 gene at 16p13, which encodes the smooth muscle myosin heavy chain.6 The chimeric gene CBFβ-MYH11 fuses most of the 5′ coding region of CBFβ in frame with the 3′ portion of MYH11, resulting in the production of the chimeric protein CBFβ-MYH11 in leukemic cells7, 8 and abnormal eosinophils, indicating that the latter also derive from the leukemic clone.9 Cytogenetically, the CBFβ-MYH11 fusion gene may be associated with trisomy 8, 21, and 22 and, less frequently, with deletion of chromosome 7q.10, 11, 12 CBFβ is essential for the generation of hematopoietic stem and progenitor cells, and CBFβ-MYH11 blocks embryonic hematopoiesis at the stem–progenitor cell stage.13 The role of CBFβ-MYH11 in leukemogenesis remains unknown (see review by Shigesada et al14). We previously reported that M4Eo cells have a high growth fraction and low rate of apoptosis.11
Gene expression profiling is a powerful tool in characterizing gene expression on a broad scale for various neoplasms. Most acute myeloid leukemia studies to date, however, have focused on the diagnosis and classification of closely related groups of malignancies.15, 16 In this study, we used cDNA microarrays to determine the gene expression profile of M4Eo, focusing on the underlying molecular mechanisms of M4Eo associated with the CBFβ-MYH11 fusion gene.
Materials and methods
To understand the gene expression profile of M4Eo tumor cells and microenvironment, and particularly the gene expression attributable to CBFβ-MYH11, we compared cases of M4Eo with those of the type of acute myeloid leukemia it most closely resembles, acute myelomonocytic leukemia, without CBFβ-MYH11, M4. This approach differs from other studies of acute myelomonocytic leukemia M4 that used benign monocytes as a control (an approach that assesses gene expression in all types of acute myelomonocytic leukemia) or that compared various types of acute myeloid leukemia with human leukemic cell lines, normal donor CD34-positive hematopoietic cells, or other acute myeloid leukemia types.
We obtained bone marrow aspiration specimens with uniform RNA processing within 1 h of sample acquisition from patients who had been diagnosed with M4Eo or acute myelomonocytic leukemia M41 at The University of Texas MD Anderson Cancer Center between August 1998 and August 2003. We analyzed 18 M4Eo cases with a cDNA microarray and further analyzed 7 of these cases that had sufficient RNA with a long oligonucleotide (75-mer) microarray, referred to subsequently as the Pathway microarray. Real-time quantitative reverse transcriptase-polymerase chain reaction (RT-PCR) was performed on 17 M4Eo cases, of which 11 were tested using the cDNA microarray and 1 was tested using both microarrays. Pooled RNA from 20 cases of acute myelomonocytic leukemia M4 was used as the control. The University of Texas MD Anderson Cancer Center Institutional Review Board approved this study.
Total RNA was isolated from fresh bone marrow aspiration specimens using TRIzol reagent (Invitrogen Corp, Carlsbad, CA, USA) and assessed for RNA quality with Agilent Bioanalyzer (Agilent Technologies, Palo Alto, CA, USA). For the control, pooled RNA was prepared by mixing the same amount of total RNA from 20 individual acute myelomonocytic leukemia M4 patient samples. We hybridized the pooled RNA on a cDNA microarray (manufactured by the Cancer Genomic Core Laboratory, MDACC) that contained 4704 genes in duplicate with controls. Seven of the 18 M4Eo cases were also analyzed with the Pathway microarray, which contained 1500 functionally well-characterized genes involved in various signaling pathways important for cancer biology.
The Supplementary Information details the following procedures: RNA isolation and microarray hybridization, statistical methods for gene expression analysis, analysis for the combination of data sets, RT-PCR, conventional cytogenetics, fluorescence in situ hybridization, flow cytometry immunophenotyping, and immunohistochemistry.
Results
Table 1 provides the detailed clinical and pathologic features of the 18 patients with M4Eo. The patients included nine women and nine men and had a median age of 41 years with a range of 21–74 years; five patients were 50 years or older. None of the patients had received therapy. The complete remission rate and relapse-free survival time of the patients with M4Eo included in this study were not significantly different from those of other patients with M4Eo treated during the same period at this cancer center.
The median percentage of bone marrow blasts in the M4Eo cases was 61%, as determined by Wright–Giemsa staining. The M4Eo cases and the acute myelomonocytic leukemia M4 control had similar median numbers of blasts. Of the 18 M4Eo cases, 11 had eosinophilia (>4%), whereas none of the 20 acute myelomonocytic leukemia M4 cases had eosinophilia. Cytochemical stains using bone marrow aspirate smears showed that in all cases, the M4Eo and acute myelomonocytic leukemia M4 blasts were strongly and uniformly positive for myeloperoxidase and variably positive for butyrate esterase.
M4Eo has a Distinct Gene Expression Profile
As described in Materials and methods, the two microarrays used have many shared genes and many unique genes, enabling us to compare the results of the shared genes and to obtain compensatory data for those present in only one microarray. Tables 2a and b present a list of the most differentially expressed genes for each microarray; Supplementary Figure 1 presents representative genes from this group. These lists are derived from a longer list of genes that were significantly differentially expressed based on a set false discovery rate (FDR). Between the M4Eo cases and acute myelomonocytic leukemia M4 control, the genes identified from the cDNA microarray had a fold change in expression level of at least 2.37 (either increase or decrease) and significant P-values (<0.001) at an FDR of 0.001 (Table 2a), and those identified from the Pathway microarray had a fold change of at least 1.85 and significant P-values (<0.05) at an FDR of 0.05 (Table 2b). Much more stringent cut-offs were used for the cDNA microarray because there were more genes and more samples than for the Pathways array. As expected, the most significantly differentially expressed genes on the cDNA microarray are functionally diverse, whereas the most significantly differentially expressed genes in the Pathway microarray are involved in signal transduction pathways. Supplementary Tables 2a and b provide an extended version of the differentially expressed genes in the cDNA and Pathway microarrays. We did not find a correlation between gene expression profile and the number of blasts. In all cases, numerous blasts were present.
Pre-B-cell leukemia transcription factor 3A (PBX3) is one of the significantly differentially expressed genes in both the cDNA and Pathway microarrays and was downregulated in both microarrays (−2.44- and −3.71-fold in the cDNA and Pathway microarrays, respectively; Tables 2a and b). This gene is highly homologous to PBX1, a human homeobox gene involved in t(1;19)-positive acute pre-B-cell lymphoblastic leukemia.17 Table 2c shows a few of the top differentially expressed genes present in both microarrays. Supplementary Table 2c gives a complete list of such genes.
As expected, the expression levels of the two genes involved in the inv(16) or t(16;16) in M4Eo, CBFβ and MYH11, differed between the M4Eo cases and the control. CBFβ had lower expression levels in the M4Eo cases in both microarrays (−1.64- and −1.45-fold in the cDNA and the Pathway microarrays, respectively), whereas MYH11 had slightly higher expression levels in the M4Eo cases (+1.07-fold in the cDNA microarray; data not shown). We expected the CBFβ clone (NM_001755) on the cDNA microarray and the CBFβ 70-mer oligo (corresponding to the sequence from nucleotide 733–802 in NM_001755) on the Pathway microarray to hybridize minimally, if at all, to the chimeric CBFβ-MYH11 gene according to the common location of the inv(16) breakpoints.18 However, the MYH11 clone (AA126989) on the cDNA microarray contained a sequence that could hybridize solely to the chimeric gene. Therefore, the signal intensity of MYH11 represented the expression level of the chimeric gene. Immunohistochemical analysis of the CBFβ-MYH11 protein revealed a unique nuclear localization in our M4Eo cases.19
ITM2A, a novel type II integral membrane protein gene that is involved in T-cell development and activation,20 myogenesis,21 and chondrogenesis22 was a good marker of M4Eo in this study. The expression levels of ITM2A were higher in all 18 M4Eo cases in the cDNA microarray (+3.41-fold; Table 2a). Similarly, by RT-PCR, the expression levels of ITM2A were higher in all 17 M4Eo cases tested than in the control (median +8.24-fold; range +1.5- to +40-fold; Supplementary Figure 2).
NF-κB is Dysregulated in M4Eo
One of the top differentially expressed genes was NF-κBIA, which encodes an inhibitor of NF-κB (IκB).23 We found lower expression levels of NF-κBIA (−2.37- and −1.75-fold in the cDNA and Pathway microarrays, respectively) in the M4Eo cases compared with the control (Table 2c). TNFAIP3 (TNFα-induced protein 3), which is also an inhibitor of NF-κB,24 had lower expression levels in the M4Eo cases (−1.59-fold in the cDNA microarray (data not shown) and −1.77 in the Pathway microarray; Supplementary Table 2b). In contrast, TNFRSF (TNFR superfamily) members 11a (a receptor activator of NF-κB (RANK)25, 26) and 11b had higher expression levels in the M4Eo cases (+2.39-fold in the cDNA microarray for TNFRSF11b (Supplementary Table 2a) and +2.27-fold for TNFRSF11a in the Pathway microarray (data not shown).
In our earlier retrospective study, we observed that NF-κB was constitutively activated in M4Eo.27 To validate whether NF-κB was activated, we used immunohistochemistry to assess NF-κB p65 in an additional series of M4Eo cases and acute myelomonocytic leukemia M4 controls (Figure 1a and b). Nuclear localization of the protein indicates its activation. We found that the nuclear immunoreactivity of NF-κB p65 was significantly higher in 49 M4Eo cases (median 37%, range 5–82%) compared with 35 acute myelomonocytic leukemia M4 cases (median 11%, range 1–88%) (P<0.001) (Table 3).
Genes Involved in Cell Proliferation are Differentially Expressed in M4Eo
Cyclin D2 (CCND2) was among the most differentially expressed genes in the Pathway microarray (+2.59-fold; Table 2b). We confirmed this with RT-PCR. In the 17 M4Eo cases tested, the CCND2 expression levels were higher (median +2.00-fold) compared with the control (Supplementary Figure 2). Likewise, although not to the same extent, the cyclin D1 expression levels in the M4Eo cases were also higher (median +1.26-fold in the Pathway microarray) compared with the control (Supplementary Table 2b). However, the expression levels of cyclin D3 (CCND3) in the M4Eo cases were lower in both microarrays (−2.28- and −1.87-fold in the cDNA and Pathway microarrays, respectively; Table 2c). We also performed immunohistochemical analysis for CCND2 (Figure 1c and d). Nuclear expression of CCND2 was significantly higher in the additional 63 M4Eo cases (median 35%, range 5–82%) compared with the additional 30 acute myelomonocytic leukemia M4 cases (median 11.5%, range 1–47%) (P<0.001) (Table 3).
Spermidine/spermine N1-acetyltransferase (SAT) had lower expression levels in the M4Eo cases than in the control (−3.27-fold on the cDNA microarray; Table 2a). Our RT-PCR data also showed that SAT had lower expression levels (−0.6-fold) in the M4Eo cases (Supplementary Figure 2). Decreased expression levels of SAT, a rate-limiting enzyme in the catabolism of polyamines by acetylation, may lead to increased polyamine concentration. Polyamines are growth factors that are essential for neoplastic transformation and cell proliferation.28, 29 Other differentially expressed genes involved in cell proliferation include CD34 (+1.62-fold in the Pathway microarray), CD117 (c-KIT; +1.54- and +2.17-fold in the cDNA and Pathway microarrays, respectively), amphiregulin (schwannoma-derived growth factor; −5.15-fold in the Pathway microarray), EMP1 (epithelial membrane protein 1; medians of +2.31- and +3.15-fold in the cDNA and Pathway microarrays, respectively), INSL4 (insulin-like 4; +2.35-fold in the cDNA microarray), and TM4SF4 (transmembrane 4 superfamily member 4; +3.76-fold in the cDNA microarray) (Tables 2a, Table 2b and Table 2c).
We also compared CD117 and CD34 expression levels in 36 M4Eo cases and 40 acute myelomonocytic leukemia M4 controls by flow cytometry immunophenotyping. Figure 1e and f and Table 4 show analysis of the blast region demonstrating that the expression levels of both proteins were significantly higher in M4Eo blasts than in acute myelomonocytic leukemia M4 blasts.
Genes Involved in Apoptosis are Differentially Expressed in M4Eo Cases Compared with Control
Several apoptosis-inducing genes were downregulated in the M4Eo cases. STAT-induced STAT inhibitor-2 (STATI2), also known as the suppressor of cytokine signaling (SOCS2),30 had markedly lower expression levels in the M4Eo cases than in the control (−4.57-fold in the Pathway microarray; Table 2b). Another proapoptotic gene, DNA damage-inducible transcript 3 (DDIT3), which is one of the components of the endoplasmic reticulum stress-mediated apoptosis pathway and associated with cell stress and apoptosis,31, 32 was also among one of the most differentially expressed genes (−2.44-fold in the Pathway microarray; Table 2b). Hemopoietic cell kinase (HCK), which participates in activation of kinase-dependent and caspase-mediated apoptosis,33 also had markedly lower expression levels in the M4Eo cases than in the control (−1.82- and −2.45-fold in the cDNA and Pathway microarrays, respectively; Table 2c). In contrast, the anti-apoptotic gene Bcl-2 had higher expression levels in the M4Eo cases than in the control (+1.74- and +1.71-fold in the cDNA and the Pathway microarrays, respectively).
Discussion
We employed microarray techniques to determine the gene expression profile of 18 M4Eo cases. We confirmed some of the gene expression data by RT-PCR, immunohistochemistry, and flow cytometry immunophenotyping. We found a high level of activation of the NF-κB signaling pathway in the M4Eo cases compared with the acute myelomonocytic leukemia M4 control.
NF-κB activation is a common component of signaling pathways involved in a wide variety of cellular processes, including cell cycle progression, apoptosis, and oncogenesis. NF-κB can be activated by various stimuli, including cytokines and growth factors. The IκBs, a family of inhibitors, usually sequester NF-κB in the cytoplasm. Activation of NF-κB involves phosphorylation of IκBs by IκB kinase, which leads to the destruction of IκBs and allows translocation of NF-κB to the nucleus (see review by Ravi and Bedi34). Our results strongly suggest that the NF-κB pathway is activated at a higher level in M4Eo than in acute myelomonocytic leukemia M4. NFκBIA, the gene that encodes IκBα,23 an NF-κB inhibitor, was downregulated, as was TNFAIP3, another NF-κB inhibitor.24 Conversely, TNFRSF11a and TNFRSF11b, two of the tumor necrosis factor receptor superfamily members, were upregulated. It is known that NF-κB can be activated by TNFRs and that TNFRSF11a is a RANK.25, 26 Consistent with these microarray gene expression data, our immunohistochemical results showed that the nuclear immunoreactivity of NF-κB p65, an activated form of NF-κB, was significantly higher in the M4Eo cases than in the acute myelomonocytic leukemia M4 control.
Increased cell proliferation and decreased apoptosis are among the main consequences of NF-κB activation. Our previous studies showed that M4Eo cases have a high rate of proliferation but a low rate of apoptosis, as indicated by high bone marrow cellularity, brisk tumor cell mitosis, high positivity for Ki-67 (an indicator of growth fraction), and rarity of tumor cells positive for terminal deoxynucleotidyl transferase-mediated dUTP-nick end labeling, an assay for apoptosis.11 Members of the cyclin D family are the main regulators of the G1/S transition in the cell cycle and have been found to be elevated in some malignant cells.35 We found that cyclin D1 and D2 were both upregulated in M4Eo cases, again suggesting high proliferation status in M4Eo. Radosevic et al36 reported that expression levels of CCND2 were lower in acute monocytic leukemias (FAB M4 and M5) than in other types of acute myeloid leukemia (FAB M0, M1, and M2). Unfortunately, no M4Eo cases were included in their study. High expression levels of cyclin D1 and D2 may be directly or indirectly related to NF-κB activation because the cyclin D1 promoter region contains an NF-κB binding site.37 Interestingly, we found that cyclin D3 was downregulated in M4Eo cases and was among the top differentially expressed genes. This is not surprising considering the inhibitory process triggered by CBFβ-MYH11 in M4Eo; CBFβ-MYH11 inhibits AML-1, which usually binds to and activates the cyclin D3 promoter.38
NF-κB can mediate a variety of survival signals that protect cells from apoptosis.34 Bcl-XL, an antiapoptotic Bcl-2 family member, contains an NF-κB binding site in its promoter. Unfortunately, we could not assess Bcl-XL expression in M4Eo in our study because it was not present in either of the microarrays used. However, we found that Bcl-2 had a higher expression level in M4Eo cases than in the control in both microarrays. It is interesting that several proapoptotic genes, such as STATI2, are downregulated in M4Eo. STATI2 encodes a member of the gene family known as the STAT-induced STAT inhibitor (SSI) or the suppressor of cytokine signaling (SOCS).30 STATI2 is a cytokine-inducible negative regulator, and its proapoptotic effect balances the proliferative effect of cytokine signaling.39 Downregulation of STATI2 apparently allows proliferation to overweigh apoptosis in M4Eo.
The high expression levels of CD117 (the c-KIT receptor) in all the M4Eo cases assessed in the present study is of interest. c-KIT Asp816 mutations have been reported in 7.9% of patients with M4Eo; c-KIT exon 8 mutations, which are exclusively detected in 23.8% of adult de novo acute myeloid leukemia with inv(16) patients, result in activation of the CD117 receptor and are associated with an increased relapse rate.40 High expression levels of CD117 suggest that CBFβ-MYH11 might be involved in modulating the function of the c-KIT receptor.
In summary, we determined the gene expression profile of M4Eo using two microarrays and acute myelomonocytic leukemia M4 cases as a control. The gene expression profile of M4Eo suggests a highly activated NF-κB pathway, a high proliferative status, and a low apoptotic status, all of which are likely to result from the coordinated effects of a constellation of genes directly or indirectly affected by the chimeric protein CBFβ-MYH11. High expression levels of NF-κB p65 also suggest that targeting NF-κB is a therapeutic strategy for patients with M4Eo.
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Acknowledgements
This project was supported by a fellow research funding award from the Division of Pathology and Laboratory Medicine at MD Anderson to XS, an Olla Stribling fund to CBR, National Cancer Institute Cancer Center Support Grant 5P30 CA016672-28, the Tobacco Settlement Fund to MD Anderson as appropriated by the Texas legislature, and funds from the Kadoorie Foundation to the Genomics Facility. We thank Martin H Nguyen and Ellen Taylor for their excellent technical assistance. We thank Ann Sutton for her editorial suggestions. We also thank Ana M Martinez for her secretarial support.
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Sun, X., Zhang, W., Ramdas, L. et al. Comparative analysis of genes regulated in acute myelomonocytic leukemia with and without inv(16)(p13q22) using microarray techniques, real-time PCR, immunohistochemistry, and flow cytometry immunophenotyping. Mod Pathol 20, 811–820 (2007). https://doi.org/10.1038/modpathol.3800829
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DOI: https://doi.org/10.1038/modpathol.3800829
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