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. Author manuscript; available in PMC: 2008 Jun 1.
Published in final edited form as: Leukemia. 2007 Apr 12;21(6):1276–1284. doi: 10.1038/sj.leu.2404685

Gene expression profiling of precursor T-cell lymphoblastic leukemia/lymphoma identifies oncogenic pathways that are potential therapeutic targets

Ying-Wei Lin 1,2, Peter D Aplan 1
PMCID: PMC2063467  NIHMSID: NIHMS25096  PMID: 17429429

Abstract

We compared the gene expression pattern of thymic tumors from precursor T-cell lymphoblastic lymphoma/leukemia (pre-T LBL) that arose in transgenic mice which over-expressed SCL, LMO1, or NUP98-HOXD13 (NHD13) with that of thymocytes from normal littermates. Only two genes, Ccl8 and Mrpl38, were consistently more than 4-fold over-expressed in pre-T LBL from all three genotypes analyzed, and a single gene, Prss16 was consistently under-expressed. However, we identified a number of genes, such as Cfl1, Tcra, Tcrb, Pbx3, Eif4a, Eif4b, and Cox8b that were over or under-expressed in pre-T LBL that arose in specific transgenic lines. Similar to the situation seen with human pre-T LBL, the SCL/LMO1 leukemias displayed an expression profile consistent with mature, late cortical thymocytes, whereas the NHD13 leukemias displayed an expression profile more consistent with immature thymocytes. We evaluated two of the most differentially regulated genes as potential therapeutic targets. Cfl1 was specifically over-expressed in SCL-LMO1 tumors; inactivation of Cfl1 using Okadaic acid resulted in suppression of leukemic cell growth. Overexpression of Ccl8 was a consistent finding in all 3 transgenic lines, and an antagonist for the Ccl8 receptor induced death of leukemic cell lines, suggesting a novel therapeutic approach.

Keywords: T-cell leukemia, Scl, Nup98, chemokine, cofilin, Pbx3

Introduction

It has been shown that gene expression profiling is a useful technique for classification, subtype discovery, and prognosis in patients with precursor T-cell lymphoblastic leukemia/lymphoma (pre-T LBL) 1, 2. Many pre-T LBL patients show chromosomal aberrations that result in the generation of fusion genes and/or the aberrant expression of proto-oncogenes. In addition, gene expression profiling and quantitative real-time reverse transcriptase polymerase chain reaction (qRT-PCR) has been shown to detect aberrantly expressed proto-oncogenes in the absence of chromosomal abnormalities. SCL (TAL1), HOX11, LYL1, LMO1, and LMO2 are frequently over-expressed in patients with pre-T LBL 1, 2. SCL was shown to be up-regulated in 49% of the cases with pre-T LBL and considered to be associated with relatively unfavorable prognosis. Additional studies have been employed to identify the important alterations in gene expression, as well as to identify mechanism(s) that lead to altered gene expression 3, 4.

One advantage of studying genetically engineered mice is that the inciting event is known, which makes classification more straightforward. In order to identify candidate genes that might contribute to T-cell leukemogenesis in the context of aberrant expression of known T-cell oncogenes, we compared the gene expression profile of thymic tumors from pre-T LBL that arose in transgenic mice that over-expressed SCL, LMO1, and NUP98-HOXD13 (NHD13) with that of thymocytes from normal littermates. We have proceeded to evaluate several of the candidate genes as potential therapeutic targets for treatment of pre-T LBL.

Materials and Methods

Mouse models for human pre-T LBL

LMO1 transgenic mice that over-express LMO1 driven by the lck promoter were obtained from Dr. Stanley Korsmeyer5. SCL transgenic mice- that over-expresses SCL under control of the SIL promoter has been described previously6. SCL-LMO1 double transgenic mice were generated by crossing the SIL-SCL mice with lck- LMO1 mice6, 7.

NHD13 transgenic mice that expresses a NUP98-HOXD13 fusion from vav regulatory elements have been previously described8. Thymic tumors were harvested from clinically ill transgenic mice. Normal thymi were harvested from 40 non-transgenic littermates. Both thymic tumors and normal thymi were immediately frozen on dry ice and transferred to liquid nitrogen. In some cases, single cell suspensions of the thymic tumors were cultured in Iscove’s Modified Durbecco’s Medium, with 15% FBS9 in order to establish pre-T LBL cell lines.

Microarray analysis

RNA was isolated from cryopreserved thymic tumors and normal thymocytes with Trizol reagent (Invitrogen, Carlsbad, CA) and purified with RNeasy MiniElute Cleanup kit (Qiagen, Valencia, CA) according to the manufacturer’s instructions. The purified RNA was assessed by electrophoresis through denaturing agarose gels to verify that it was not degraded. The RNA from 40 normal thymi were pooled and used as a reference RNA. First strand cDNA was synthesized and dye-coupled using a FairPlay Microarray labeling kit (Stratagene, La Jolla, CA). The experimental cDNA probe was labeled with Cy3 and the reference cDNA probe was labeled with Cy5. Dye-coupled cDNA was purified with a Qiagen Mini Elute PCR purification kit. The Cy3 labeled experimental probe was combined with the Cy5 labeled reference probe and the mixture was hybridized to an NCI production oligonucleotide DNA microarray containing 22272 long oligonucleotide (70 mer) features (Compugen, San Jose, CA). The microarray was scanned using an Axon GenePix scanner. The fluorescence ratio was quantified for each transcript and reflected the relative abundance of the gene in the experimental mRNA sample compared with the reference mRNA. Statistical analyses, hierarchical clustering, and gene ontology of the differentially-regulated genes were analyzed according to the NCI mAdb web site (http://nciarray.nci.nih.gov/). Briefly, the signal intensity was defined as by the mean pixel intensity minus median background pixel intensity. A log base 2 ratio of tumor to normal signal was calculated by dividing the tumor signal intensity by the normal thymus signal intensity. A raw gene list of those genes either 4 fold up-regulated or 4 fold down-regulated was obtained, and then curated by hand to eliminate duplicate genes. Any multiple occurrences of features were reduced to a single instance by selecting the feature with the strongest signal (Channel A + Channel B). In some cases, the identity of anonymous (such as the Riken collection) genes could be ascertained by comparing to the most recent Genbank relaease.

Okadaic acid and Ccr3 antagonist treatment

Leukemic cell lines established from the thymic tumors of SCL-LMO1 and NHD13 transgenic mice were cultured in the presence of the CCR3 antagonist, SB328437 (Sigma-Aldrich, St. Louis, MO), at the concentration of 69 µM for 72 hours, or vehicle (DMSO) alone. In separate experiments, SCL-LMO1 or NHD13 cell lines were treated with 1 µM okadaic acid (Sigma-Aldrich, St. Louis, MO) or vehicle (dH2O) alone for 4 hours. Viable cells were evaluated by Trypan blue exclusion.

Western blot analysis

Extracts of leukemic cell lines were prepared by lysing cells in HNTG buffer supplemented with Protease Inhibitor Cocktail (Sigma-Aldrich, St. Louis, MO) for one hour. Forty µg of whole cell lysate was separated on an 8% Tris-Glycine Gel (Invitrogen, Carlsbad, CA) at 125V for 90 minutes and then transferred to a nitrocellulose membrane. Membranes were blocked for one hour in SuperBlock Blocking buffer (Pierce, Rockford, IL) and placed in appropriate primary antibody dilution (in TBS, 5% Blotto, 2.5% Tween 20). Primary antibody (anti Cfl1, #3311, and anti phospho-Cfl1, #3312, Cell Signaling, Danvers, MA) was detected using horseradish peroxidase-linked goat anti-rabbit IgG antibodies and visualized using the chemiluminescent detection system (SuperSignal; Pierce, Rockford, IL).

Transfections of SCL-LMO1 pre-T LBL cell line

We transfected a NHD13 expression vector into a pre-T LBL cell line (#6812) established from SCL-LMO1 transgenic-mice using DMRIE-C reagent and the manufacturer’s recommended protocol (Invitrogen, Carlsbad, CA). The NHD13 expression vector used EF1alpha regulatory sequences and the NHD13 cassette was identical to that previously reported8.

RT-PCR

RNAs were extracted with Trizol reagent, and 1.0 µg of RNA was reverse transcribed using Superscript II reverse transcriptase with an oligo (dT) primer (Invitrogen, Carlsbad, CA). The first strand cDNAs were amplified with mouse Pbx3F primers 5’-CAATTATAGAGCAGGCAAGGTTCACCCTG-3’ and mouse Pbx3R primers 5’-GTTCAGAGGTAGTAAGTGAGCGCTCTA-3’ in the volume of 20 µl. After a “hot start” at 94°C, 35 cycles of 94°C for 1 min., 62°C for 1 min., and 72°C for 1 min. was used, followed by a terminal 10 min. extension at 72°C. PCR products were analyzed by agarose gel electrophoresis.

Results

Hierarchical Clustering of tumors obtained from different lines of transgenic mice

We used two-color hybridization of high density oligonucleotide microarrays containing 22272 features to compare the gene expression profiles of individual mouse tumors to a reference of normal thymus RNA. In order to produce a large supply of normal thymus reference RNA, 40 mice aged (3–6 months) were euthanized and the thymi harvested. We assayed 12 SCL/LMO1, 10 NHD13, and 4 LMO1 only pre-T LBL samples, as well as 2 normal thymi. Hierarchical clustering of the arrays using a classical Pearson analysis revealed four major groups: SCL/LMO1 tumors, normal thymus, NHD13 tumors, and a fourth group consisting primarily of LMO1 only tumors (Figure 1). All tumors of the same genotype clustered together, with the exception of two NHD13 tumors (arrays ma18–40C and –43C, mouse # 1149 and 1901).

Figure 1. Hierarchical clustering of murine pre-T LBL gene expression profiles.

Figure 1.

Hierarchical clustering was determined using the classical Pearson method. The first hierarchical break distinguished a group of the LMO1 and NHD13 tumors from the group of the SCL-LMO1 tumors and normal thymus.

Differentially expressed genes and gene ontology (Table 1Table 4)

Table 1.

Genes most differentially expressed in T-cell tumors compared to normal thymus

Fold increase Gene Description
7.5 Iltifb interleukin 10-related T cell-derived inducible factor beta (Iltifb),
7.2 Dtx1 deltex 1 homolog (Drosophila) (Dtx1), mRNA.
6.7 Igh-6 Immunoglobulin heavy chain 6 (heavy chain of IgM)
5.8 Ccl8 chemokine (C-C motif) ligand 8 (Ccl8), mRNA.
5.5 Tcrb T-cell receptor beta-1 chain C region (LOC669847), mRNA.
5.3 Mrpl38 mitochondrial ribosomal protein L38 (Mrpl38), mRNA.
4.3 Gapdh glyceraldehyde-3-phosphate dehydrogenase (LOC14433),.
4.3 Eef2 eukaryotic translation elongation factor 2 (Eef2), mRNA.
4.3 Lmo1 LIM domain only 1 (Lmo1), mRNA.
4.3 Tubb5 tubulin, beta 5 (Tubb5), mRNA.
4.2 eEF-Tu Mouse eEF-Tu gene encoding elongation factor Tu, 5′ end.
4.2 Ftl1 ferritin light chain 1 (Ftl1), mRNA.
 
 
Fold decrease Gene Description
 
4.0 Arpp21 cyclic AMP-regulated phosphoprotein, 21 (Arpp21)
4.1 Ly49n Mus musculus natural killer cell receptor (Ly49n) gene
4.2 Cbr2 carbonyl reductase 2 (Cbr2), mRNA.
4.2 Bop1 block of proliferation 1 (Bop1), mRNA.
4.3 Tcrd T-cell receptor delta
4.3 Fabp3 fatty acid binding protein 3, muscle and heart (Fabp3), mRNA.
4.3 Lcn5 lipocalin 5 (Lcn5), mRNA.
4.4 1700084E18Rik RIKEN cDNA 1700084E18 gene (1700084E18Rik)
4.4 Rb1cc1 RB1-inducible coiled-coil 1 (Rb1cc1), mRNA.
4.5 Scnn1a sodium channel, nonvoltage-gated, type I, alpha (Scnn1a)
4.6 Fkbp6 FK506 binding protein 6 (Fkbp6), mRNA.
4.7 Hba-a1 hemoglobin alpha, adult chain 1 (Hba-a1), mRNA.
4.7 Ctsl cathepsin L (Ctsl), mRNA.
4.8 Cstb cystatin B (Cstb), mRNA.
4.8 Slc18a3 solute carrier family 18, member 3 (Slc18a3)
4.9 LOC674927 PREDICTED: similar to melanoma antigen (LOC674927)
5.4 Erf1 Mus musculus ETS-related transcription factor ERF (Erf1)
5.4 Cdo1 cysteine dioxygenase 1, cytosolic (Cdo1), mRNA.
5.7 Diras2 DIRAS family, GTP-binding RAS-like 2 (Diras2), mRNA.
5.7 Tctex1d1 Tctex1 domain containing 1 (Tctex1d1), mRNA.
5.8 Spatial Mus musculus fetal thymus spatial protein mRNA
6.1 Dgat2 diacylglycerol O-acyltransferase 2 (Dgat2), mRNA.
6.4 Cidea cell death-inducing DNA fragmentation factor, alpha subunit
6.5 Fabp9 Fatty acid binding protein 9, testis
6.6 Cd83 CD83 antigen (Cd83), mRNA.
7.0 Krt2-8 keratin complex 2, basic, gene 8 (Krt2-8), mRNA.
7.3 Fabp4 Fatty acid binding protein 4, adipocyte
7.3 Cox8b cytochrome c oxidase, subunit VIIIb (Cox8b), mRNA.
14.5 Ccl25 Chemokine (C-C motif) ligand 25
22.4 Prss16 protease, serine, 16 (thymus) (Prss16), mRNA.

Table 4.

Genes most differentially regulated in NHD13 tumors

Fold increase Gene Description
12.9 Pbx3 pre B-cell leukemia transcription factor 3 (Pbx3), mRNA.
6.4 Cox6a2 cytochrome c oxidase, subunit VI a, polypeptide 2 (Cox6a2), mRNA.
5.6 Mrpl38 mitochondrial ribosomal protein L38 (Mrpl38), mRNA.
5.6 Eef2 eukaryotic translation elongation factor 2 (Eef2), mRNA.
5.4 Ccl8 chemokine (C-C motif) ligand 8 (Ccl8), mRNA.
5.3 Gapdh glyceraldehyde-3-phosphate dehydrogenase (LOC14433), mRNA.
5.2 Ctse cathepsin E (Ctse), mRNA.
4.8 Tfrc transferrin receptor (Tfrc), mRNA.
4.4 Eif3s9 eukaryotic translation initiation factor 3, subunit 9 (eta) (Eif3s9), mRNA.
4.2 Mpo myeloperoxidase (Mpo), mRNA.
4.1 H2-D1 Histocompatibility 2, D region locus 1
4.0 Farsla phenylalanine-tRNA synthetase-like, alpha subunit (Farsla), mRNA.
     
Fold decrease Gene Description
4.0 Spo11 sporulation protein, meiosis-specific, SPO11 homolog (S. cerevisiae)
4.1 Ubd ubiquitin D (Ubd), mRNA.
4.1 Tcra T-cell receptor alpha.
4.2 Gtf2h4 general transcription factor II H, polypeptide 4 (Gtf2h4), mRNA.
4.5 Cfd complement factor D (adipsin) (Cfd), mRNA.
4.5 1700084E18Rik PREDICTED: RIKEN cDNA 1700084E18 gene (1700084E18Rik), mRNA.
4.6 Fabp9 Fatty acid binding protein 9, testis
4.6 Ly49n Mus musculus natural killer cell receptor (Ly49n) gene
4.7 Vamp1 vesicle-associated membrane protein 1 (Vamp1), mRNA.
4.7 Diras2 DIRAS family, GTP-binding RAS-like 2 (Diras2), mRNA.
4.9 Ccni Cyclin I
4.9 9130430L19Rik RIKEN cDNA 9130430L19 gene
5.8 H2-Aa histocompatibility 2, class II antigen A, alpha (H2-Aa), mRNA.
6.0 Erf1 Mus musculus ETS-related transcription factor ERF (Erf1) mRNA.
6.3 Fabp4 Fatty acid binding protein 4, adipocyte
6.5 5830406J20Rik RIKEN cDNA 5830406J20 gene (5830406J20Rik), mRNA.
6.6 Cd8a CD8 antigen, alpha chain, transcript variant 1 (Cd8a), mRNA.
6.8 Arpp21 cyclic AMP-regulated phosphoprotein, 21 (Arpp21)
6.9 Crip3 cysteine-rich protein 3 (Crip3), transcript variant TLP-B, mRNA.
7.2 Cd74 CD74 antigen
7.4 Dntt deoxynucleotidyltransferase, terminal (Dntt), mRNA.
8.8 Igh-6 Immunoglobulin heavy chain 6 (heavy chain of IgM)
8.9 Cd83 CD83 antigen (Cd83), mRNA.
9.5 Tctex1d1 Tctex1 domain containing 1 (Tctex1d1), mRNA.
11.4 Tcrb-V13 T-cell receptor beta, variable 13
11.7 H2-Eb1 histocompatibility 2, class II antigen E beta (H2-Eb1), mRNA.
12.2 LOC545854 Immunoglobulin kappa chain
16.3 LOC674927 PREDICTED: similar to melanoma antigen (LOC674927), mRNA.
17.6 Ccl25 Chemokine (C-C motif) ligand 25
32.8 Prss16 protease, serine, 16 (thymus) (Prss16), mRNA.

Table 1 shows the genes that were most highly over- or under-expressed relative to normal thymus. There were only 12 genes whose mean expression levels were more than 4-fold increased when all three groups of tumors (LMO1, SCL/LMO1, and NHD13) were analyzed, and none of these were more than 7.5-fold increased. These represented a diverse group of genes including notch-signaling pathway (Dtx1), immune-system genes (Iltifb, Igh, Ccl8, Tcrb), polypeptide elongation factors (Eef2, Eef-tu, and Mrpl38), Lmo1, and Ftl1. Genes with the highest fold -decrease included 3 related fatty acid binding proteins (Fabp4, Fabp9, and Fabp3), apoptosis pathway genes (Cox8b, Cidea) and CD83. These results suggested that there were relatively few genes consistently over-expressed in tumors arising in all three transgenic lines compared to normal thymus.

Since tumors derived from mice with the same genotypes clustered closely together, we repeated the analysis of the most differentially expressed genes using tumors from each genotype individually. Table 2 shows genes that are more than 4-fold increased in the SCL-LMO1 tumors compared to normal thymus. The two the most highly over-expressed genes were ferritin light chain (Ftl1) and cofilin 1 (Cfl1). Additional over-expressed genes included a large number that encoded proteins involved in the immune response (Tcra, Tcrb, Igh, Iltifb, Ccl8, Tcf7), cell proliferation and division (Pin1, Cdk4, Map2k4, Cdc37, and Ctnnb1), protein translation (Eef1a1, Eef-tu, Eif4a1, Eef2, Eif5a, Tceal8, Eif4b, Mrpl38, and L13), and Notch signaling (Notch1 and Dtx1). Genes with the most significantly decreased expression again included apoptotic pathway genes (Cox8b, Cox7a1, Ucp1, and Cidea), genes encoding fatty acid binding proteins (Fabp3, 4, 9), and CD83.

Table 2.

Genes most differentially expressed in SCL-LMO1 T-cell tumors

Fold increase Gene Description
15.6 Ftl1 ferritin light chain 1 (Ftl1), mRNA.
15.0 Cfl1 cofilin 1, non-muscle (Cfl1), mRNA.
11.5 Tcrb T cell receptor beta chain mRNA, partial cds.
11.0 Hspa8 heat shock protein 8 (Hspa8), mRNA.
11.0 Lmo1 LIM domain only 1 (Lmo1), mRNA.
10.9 Eef1a1 Eukaryotic translation elongation factor 1 alpha 1
10.7 Tuba7 tubulin, alpha 7 (Tuba7), mRNA.
10.4 Eef-tu Mouse eEF-Tu gene encoding elongation factor Tu
9.4 Ef2 Elongation factor 2 (EF-2) (LOC673429), mRNA.
9.2 Igh-6 Immunoglobulin heavy chain 6 (heavy chain of IgM)
8.9 Gapdh glyceraldehyde-3-phosphate dehydrogenase
8.4 Dtx1 deltex 1 homolog (Drosophila) (Dtx1), mRNA.
8.4 Cnbp2 cellular nucleic acid binding protein 2 (Cnbp2), mRNA.
8.2 Tubb5 tubulin, beta 5 (Tubb5), mRNA.
8.0 Zmym1 zinc finger, MYM domain containing 1 (Zmym1), mRNA.
7.9 Siglece sialic acid binding Ig-like lectin E (Siglece), mRNA.
7.8 Eif4a1 eukaryotic translation initiation factor 4A1 (Eif4a1), mRNA.
7.6 Bzw2 basic leucine zipper and W2 domains 2 (Bzw2), mRNA.
7.5 Eef2 eukaryotic translation elongation factor 2 (Eef2), mRNA.
7.2 Eif5a eukaryotic translation initiation factor 5A (Eif5a), mRNA.
6.8 Tcf7 transcription factor 7, T-cell specific (Tcf7), mRNA.
6.3 Aes amino-terminal enhancer of split (Aes), mRNA.
6.3 Iltifb interleukin 10-related T cell-derived inducible factor beta (Iltifb)
6.3 Tcra T-cell receptor alpha chain (TCRA)
6.0 Coro1a coronin, actin binding protein 1A (Coro1a), mRNA.
5.5 Pin1 protein (peptidyl-prolyl cis/trans isomerase) NIMA-interacting 1 (Pin1), mRNA.
5.4 Cdk4 cyclin-dependent kinase 4 (Cdk4), mRNA.
5.4 Tceal8 Transcription elongation factor A (SII)-like 8
5.3 Map2k4 mitogen activated protein kinase kinase 4 (Map2k4), mRNA.
5.1 Eif4b eukaryotic translation initiation factor 4B (Eif4b), mRNA.
5.0 Ccl8 chemokine (C-C motif) ligand 8 (Ccl8), mRNA.
4.8 Dap death-associated protein (Dap), mRNA.
4.7 Dennd2d DENN/MADD domain containing 2D (Dennd2d), mRNA.
4.5 Mrpl38 mitochondrial ribosomal protein L38 (Mrpl38), mRNA.
4.3 Rpl13 Ribosomal protein L13
4.3 Hnrpu heterogeneous nuclear ribonucleoprotein U (Hnrpu), mRNA.
4.3 Notch1 Notch gene homolog 1 (Drosophila)
4.2 Hnrpl heterogeneous nuclear ribonucleoprotein L (Hnrpl), mRNA.
     
Fold decrease Gene Description
6.1 Cd83 CD83 antigen (Cd83), mRNA.
6.1 Prr6 Proline-rich polypeptide 6
6.4 Erf1 Mus musculus ETS-related transcription factor ERF (Erf1) mRNA
6.5 Krt2-8 keratin complex 2, basic, gene 8 (Krt2-8), mRNA.
6.6 Mgst1 microsomal glutathione S-transferase 1 (Mgst1), mRNA.
6.6 Ucp1 uncoupling protein 1 (mitochondrial, proton carrier) (Ucp1), mRNA.
6.8 Fabp3 fatty acid binding protein 3, muscle and heart (Fabp3), mRNA.
6.9 Diras2 DIRAS family, GTP-binding RAS-like 2 (Diras2), mRNA.
7.0 Cox7a1 cytochrome c oxidase, subunit VIIa 1 (Cox7a1), mRNA.
8.5 Slc18a3 solute carrier family 18 (vesicular monoamine),
10.7 Fabp4 Fatty acid binding protein 4, adipocyte
11.3 Cdo1 cysteine dioxygenase 1, cytosolic (Cdo1), mRNA.
11.3 Cox8b cytochrome c oxidase, subunit VIIIb (Cox8b), mRNA.
11.6 Fabp9 Fatty acid binding protein 9, testis
12.1 Prss16 protease, serine, 16 (thymus) (Prss16), mRNA.
12.3 Cidea cell death-inducing DNA fragmentation factor, alpha subunit
14.3 Dgat2 diacylglycerol O-acyltransferase 2 (Dgat2), mRNA.
15.7 Ccl25 Chemokine (C-C motif) ligand 25
20.3 Snap25 Synaptosomal-associated protein 25
*

some genes between 4 and 6-fold upregulated not listed due to space limitations

Somewhat surprisingly, there was relatively little overlap between the most highly over-expressed genes in the SCL-LMO1 set and the LMO1 only set (Table 3). Of the 22 genes that were 4-fold increased in the LMO1 tumors compared to normal thymus, only 5 (Igh, Dtx1, Iltifb, Ccl8, and Mrpl38) were also at least 4-fold increased in the SCL-LMO1 tumors. There also was relatively little overlap between the SCL-LMO1 group and the LMO1 only group among the genes with the highest fold decrease compared to normal thymus. Prss16, Tctex1, Cidea, Dstb, and Diras2 were 5 of the only genes that showed decreased expression in both groups. Parodoxically, several genes that were at least 4-fold increased in the SCL-LMO1 set were at least 4-fold decreased in the LMO1 set. These genes included Tcrb and Tcra.

Table 3.

Genes most differentially regulated in LMO1 tumors

Fold increase Gene Description
107.8 Iltifb interleukin 10-related T cell-derived inducible factor beta (Iltifb), mRNA.
24.7 Igh-6 Immunoglobulin heavy chain 6 (heavy chain of IgM)
17.4 Bst1 bone marrow stromal cell antigen 1 (Bst1), mRNA.
9.9 Ccl8 chemokine (C-C motif) ligand 8 (Ccl8), mRNA.
8.0 Gzma granzyme A (Gzma), mRNA.
7.5 Mrpl38 mitochondrial ribosomal protein L38 (Mrpl38), mRNA.
6.8 Dennd2d DENN/MADD domain containing 2D (Dennd2d), mRNA.
6.7 Il9 interleukin 9 (Il9), mRNA.
5.4 Ccdc18 coiled-coil domain containing 18 (Ccdc18), mRNA.
5.0 Dtx1 deltex 1 homolog (Drosophila) (Dtx1), mRNA.
4.7 Adam19 a disintegrin and metallopeptidase domain 19 (meltrin beta) (Adam19)
4.6 Il12rb2 interleukin 12 receptor, beta 2 (Il12rb2), mRNA.
4.4 Hdgfrp3 hepatoma-derived growth factor, related protein 3 (Hdgfrp3), mRNA.
4.2 Aldh1b1 aldehyde dehydrogenase 1 family, member B1 (Aldh1b1), mRNA.
4.2 Pabpc1 poly A binding protein, cytoplasmic 1 (Pabpc1), mRNA.
4.2 Ck2 Mus musculus casein kinase 2 beta subunit (gMCK2) gene
4.2 Dpp4 dipeptidylpeptidase 4 (Dpp4), mRNA.
4.1 Flnc PREDICTED: filamin C, gamma (actin binding protein 280), transcript variant 3 (Flnc), mRNA.
4.1 Igk-V23 Immunoglobulin kappa chain variable 23 (V23)
4.1 Ifi205 interferon activated gene 205 (Ifi205), mRNA.
4.0 Hes1 hairy and enhancer of split 1 (Drosophila) (Hes1), mRNA.
4.0 Tfrc transferrin receptor (Tfrc), mRNA.
     
Fold decrease Gene Description
4.0 Anxa2 annexin A2 (Anxa2), mRNA.
4.0 Laptm4b lysosomal-associated protein transmembrane 4B (Laptm4b), mRNA.
4.0 Nrbp nuclear receptor binding protein (Nrbp), mRNA.
4.1 Cstb cystatin B (Cstb), mRNA.
4.1 Igfbpl1 Insulin-like growth factor binding protein-like 1
4.1 Ctdsp2 CTD (carboxy-terminal domain, RNA polymerase II, polypeptide A) small phosphatase 2
4.2 Krt2-6a Keratin complex 2, basic, gene 6a
4.2 Gtf2h4 general transcription factor II H, polypeptide 4 (Gtf2h4), mRNA.
4.3 Rb1cc1 RB1-inducible coiled-coil 1 (Rb1cc1), mRNA.
4.4 Plxdc2 plexin domain containing 2 (Plxdc2), mRNA.
4.5 Cidea cell death-inducing DNA fragmentation factor, alpha subunit-like effector A (Cidea), mRNA.
4.9 Arhgef1 Rho guanine nucleotide exchange factor (GEF) 1 (Arhgef1), mRNA.
4.9 Cxcl11 chemokine (C-X-C motif) ligand 11 (Cxcl11), mRNA.
4.9 Diras2 DIRAS family, GTP-binding RAS-like 2 (Diras2), mRNA.
5.0 H2-Ab1 histocompatibility 2, class II antigen A, beta 1 (H2-Ab1), mRNA.
5.2 Zfp236 Zinc finger protein 236
5.2 S100a16 S100 calcium binding protein A16 (S100a16), mRNA.
5.4 Plxnd1 Plexin D1
5.5 LOC674927 PREDICTED: similar to melanoma antigen (LOC674927), mRNA.
5.5 Ubd ubiquitin D (Ubd), mRNA.
5.8 Serinc3 serine incorporator 3 (Serinc3), mRNA.
6.0 Tcrd T-cell receptor delta
6.2 5830406J20Rik RIKEN cDNA 5830406J20 gene (5830406J20Rik), mRNA.
6.2 Cox6a2 cytochrome c oxidase, subunit VI a, polypeptide 2 (Cox6a2), mRNA.
6.7 A430035B10Rik RIKEN cDNA A430035B10 gene
7.0 Coro1a coronin, actin binding protein 1A (Coro1a), mRNA.
7.1 Cbr2 carbonyl reductase 2 (Cbr2), mRNA.
7.2 Itk IL2-inducible T-cell kinase
7.3 Tcra T-cell receptor alpha chain V region CTL-F3 precursor
7.6 Tceal8 Transcription elongation factor A (SII)-like 8
7.9 LOC14433 similar to glyceraldehyde-3-phosphate dehydrogenase (LOC14433), mRNA.
10.4 Tcrb T-cell receptor beta, variable 13
10.7 Crip3 cysteine-rich protein 3 (Crip3), transcript variant TLP-B, mRNA.
10.9 Tctex1d1 Tctex1 domain containing 1 (Tctex1d1), mRNA.
55.2 Prss16 protease, serine, 16 (thymus) (Prss16), mRNA.

The most highly over-expressed gene in the NHD13 tumors was Pbx3, which was not over-expressed in any of the other groups of tumors. Pbx3 overexpression was of interest since Pbx3 is known to bind to Hox genes. Additional genes that were at least 4-fold over-expressed included Ccl8, Tfrc, Mpo, Ctse, and several genes involved in protein synthesis (Mrpl38, Eef2, and Eif3s9).

Ccl8 is important for growth of leukemic cells. (Fig. 2)

Figure 2. Chemokine ligand 8 is important for leukemic cell survival.

Figure 2.

Murine pre-T LBL cell lines were treated with the Ccr3 antagonist, SB328437, at the concentration of 69 µM for 72 hours. #6812 and 1901 are pre-T LBL cell lines established from SCL-LMO1 and NHD13 mice, respectively. #1931 and 1939 are pre-T LBL cell lines established from OLIG2-LMO1 mice. F4–6 is a Friend virus-induced murine erythroleukemia cell line.

We focused on Ccl8 since it was over-expressed in all three series of tumors [SCL-LMO1 (5.0-fold), LMO1 (10-fold), and the NHD13 (5.4-fold) as well as OLIG2-LMO1 tumors (8.2-fold) 10], and therefore a candidate for a gene that was generally important for malignant transformation of thymocytes. Since Ccl8 functions through the chemokine receptor (Ccr3), we investigated whether Ccr3 signaling was important for growth of the Ccl8-expressing cell lines. Murine pre-T LBL cell lines established from SCL-LMO1 mice, OLIG2-LMO1 mice, and NHD13 mice were treated with the Ccr3 antagonist SB328437. As shown in Figure 2, SB328437 inhibits the growth of the SCL-LMO1, OLIG2-LMO1, and NHD13 cell lines, whereas growth of a non-T cell control (murine erythroleukemic) cell line (F4–6) was unaffected.

Cfl1 phosporylation is associated with growth inhibition of SCL-LMO1 tumors. (Fig. 3)

Figure 3. Cofilin1 is important for growth of SCL-LMO1 pre-T LBL.

Figure 3.

Treatment of the SCL-LMO1 pre-T LBL cell line #6812 with Okadaic acid resulted in the suppression of cell growth and an increased proportion of inactivate phospho-cofilin1.

Cfl1 was 10.9-fold up-regulated specifically in the SCL-LMO1 tumors. Cfl1 has been shown to be phosphorylated and inactivated in peripheral T-lymphocytes. Activation through an accessory receptor leads to dephosphorylation of Cfl1 by PPA211. Dephosphorylated Cfl1 can bind to polymeric F-actin and process it to mono- or oligo-meric G-actin, which can then gain access into the nucleus. In the nucleus, G-actin contributes to transcription via inhibition of DNAse I and activation of RNA polymerase II12, 13. Okadaic acid (OA) has been shown to specifically inhibit PPA2 so that Cfl1 is phosphorylated and inactivated14. In order to investigate whether overexpression of Cfl1 is important for cell growth in SCL-LMO1 tumors, we treated leukemic cell lines with OA at the concentration of 1 µM for 4 hours. A murine pre-T LBL cell line (6812), that was established from a SCL-LMO1 thymic tumor, showed activated (dephosphorylated) Cfl1. OA treatment led to simultaneous suppression of cell growth and dephosphorylation of Cfl1 in the 6812 cell line. By way of comparison, a murine erythroleukemic cell line (F4–6), which expresses less Cfl1 than the 6812 cell line, was unaffected by OA treatment, either in terms of cell viability or Cfl1 dephosphorylation.

Pbx3 is a down-stream target of NHD13 (Fig. 4)

Figure 4. Pbx3 is a downstream target of NHD13.

Figure 4.

Upper panel. A pre-T LBL cell line established from an SCL-LMO1 mouse (#6812) was transfected with an NHD13 expression vector or empty vector (lanes 6812NHD13 and 6812pz respectively). Expression of NHD13 was detected by RT-PCR; RT(+) and RT (−) indicate presence or absence or reverse transcriptase respectively. Lower panel. PBX3 is up-regulated in the sample transfected with the NHD13 expression vector. 2975 and 2413 are two primary NHD13 tumors used as positive controls for PBX3 expression. β-actin amplification is used as an RNA quality control.

Pre-B cell leukemia transcription factors (PBXs) are important co-factors for the transcriptional regulation mediated by a number of Hox proteins15. PBX1 was first identified in chromosomal translocations in B-lineage leukemia and is required for normal hematopoiesis. PBX2 and PBX3 were later identified as members of this highly conserved family by their strong homology to PBX1. We found that Pbx3 was 8.3-fold up-regulated exclusively in the NHD13 tumors. To investigate whether Pbx3 is a downstream target of NHD13, we transfected an NHD13 expression vector into a murine pre-T LBL cell line, 6812, which was established from an SCL-LMO1 tumor that did not overexpress Pbx3. Two NHD13 pre-T LBL primary tumors, 2975 and the 2413 expressed Pbx3 and were used as controls. 6812 cells transfected with the NHD13 expression vector showed an expression of Pbx3 comparable to the NHD13 primary thymic tumors, whereas 6812 cell transfected with the empty vector showed only low level Pbx3 expression, supporting the hypothesis that expression of NHD13 leads to up-regulation of Pbx3.

Discussion

In order to gain insight into the molecular events that lead to pre-T LBL, we compared the gene expression profile of murine pre-T LBL samples to that of the normal murine thymus. We chose to analyze tumors that were initiated by defined mutations (SCL and/or LMO1 over-expression, or expression of a NUP98-HOXD13 fusion gene). Our experimental approach was designed to identify two groups of differentially expressed genes. The first group of genes were those that were differentially expressed in all pre-T LBL samples, irrespective of the initiating mutation; these should be genes that are universally important for the malignant transformation of thymocytes. The second group of genes we were interested in identifying were those that were differentially expressed only in a specific subgroup of pre-T LBL (ie, only in SCL/LMO1 mice, only in NHD13 mice, etc). Genes identified in this manner should point to genes and pathways that might not be generally important for malignant transformation of thymocytes, but that are important for genetically defined subsets. Hierarchical clustering using a classical Pearson analysis indicated that the 3 groups of pre-T LBL tumors (SCL/LMO1, LMO1 only, and NHD13) could be distinguished from one another, as well as from normal thymus.

We identified 12 genes whose mean expression levels were at least 4-fold over-expressed and 30 genes that were at least 4-fold under-expressed when sample from all of the different genotype groups were analyzed together. The over-expressed genes included several known to be involved in protein synthesis (Eef2, eEF-Tu, Mrpl38), Notch signaling (Dtx1), and Ccl8. Several classes of genes were commonly under-expressed in the pre-T LBL samples, including apoptotic pathway genes (Cox8b, Cidea)16, genes involved in T-cell differentiation (Prss16, Ccl25, CD83, Spatial, Fkbp6, and Tcrd) 1720, a group of fatty acid binding proteins (Fabp3, Fabp4, and Fabp9)21, and Bop122 and Rb1cc123, two genes whose over-expression is linked to decreased cell proliferation. The Fabp proteins are typically expressed in adipocytes21, and their under-expression in pre-T LBL relative to normal thymus may reflect a decreased proportion of adipocytes in the pre-T LBL tumor samples compared to normal thymus. Given the rapid rate at which the malignant thymocytes proliferate, it is not surprising that several of the over-expressed genes are known to be involved in new protein synthesis. Moreover, several of the genes under-expressed in pre-T LBL with respect to normal thymus were pro-apoptotic or associated with decreased cell proliferation. However, since we used the mean expression level to generate Table 1, it was possible that some of the genes were identified because they were highly up-regulated in one subset only. To investigate this possibility, we analyzed differential gene expression in specific genotypes. When each genotype was analyzed separately, we were surprised to find that only two genes (Ccl8 and Mrpl38) were at least 4-fold over-expressed in all three genotypes, and a single gene (Prss16) was at least 4-fold under-expressed in all three genotypes.

We identified a number of genes that were over-expressed in SCL/LMO1 tumors. Several of these genes were found to be over-expressed only in the SCL/LMO1 tumors. These included Ftl1, Cfl1, Tcrb, Tcra, Pin1, and a large number of genes involved in protein synthesis (Eef1a1, Eef-tu, Ef2, Eif4a1, Eif5a, Eif4b, Tceal8, and Rpl13). Of note, TCRA and TCRB were two of the most differentially up-regulated genes in human leukemias that activated SCL1; these findings likely reflect a differentiation arrest at the late cortical stage of thymic development1, 24. Also, the identification of a large number of genes involved in protein synthesis, particularly Eif4a1 and Eif4b, was of interest given recent studies showing activation of the EIF4 complex through mTOR signaling25. In addition, over-expression of Eif5a was of interest, as this is the only eukaryotic protein known to be activated by post-translational hypusination, and hypusination inhibitors have demonstrated an anti-proliferative effect on leukemic cell lines in vitro26. Several other genes, including Dtx1, Iltifb, Igh, were found to be over-expressed in both the SCL/LMO1 and LMO1 only tumors. Although we had predicted that the SCL/LMO1 and LMO1 only tumors would be fairly similar, the list of commonly over-expressed genes was relatively small. Moreover, Tcra and Tcrb, among the most highly over-expressed genes in the SCL/LMO1 tumors were more than 4-fold under-expressed in the LMO1 only tumors; this difference may reflect an earlier stage of thymocyte differentiation arrest in the LMO1 tumors, prior to the expression of Tcra and Tcrb. Of note, this finding is consistent with prior observations that overexpression of a closely related gene (LMO2), blocks thymocyte differentiation at the CD4-/CD8- (DN) stage of differentiation27, 28.

The genes most highly over-expressed in the NHD13 pre-T LBL had little overlap with those most highly over-expressed in the SCL/LMO1 and LMO1 only tumors, except for Mrpl38 and Ccl8, discussed above, and transferrin receptor (Tfrc). There were several genes over 4-fold under-expressed in both the NHD13 and LMO1, but no the SCL/LMO1 tumors. These genes included Tcra, Tcrb, H2-A, Crip3, Ubd, and Diras2, and, similar to the case with human pre-T LBL that overexpress HOX111, 3, likely reflect differentiation arrest at an earlier stage of thymocyte differentiation, prior to expression of Tcra and Tcrb24. The overexpression of Mpo, a gene typically expressed in myeloid cells, in the NHD13 tumors may reflect a biphenotypic differentiation potential in NHD13 pre-T LBL, a possibility consistent with the finding that NHD13 mice typically develop a MDS, which often progresses to an AML. Alternatively, the Mpo expression might be explained by the contamination of small number of myeloid leukemic cells that were seeded from the co-incident MDS present in the NHD13 mice.

We were intrigued by the observation that Ccl8 was consistently over-expressed, and hypothesized that Ccl8 might be an autocrine growth factor for pre-T LBL. Since Ccl8 exerts its effects through the Ccr3 receptor, we reasoned that inhibition of the Ccr3 receptor might suppress the growth of pre-T LBL cell lines. We verified that the Ccr3 receptor was expressed in pre-T LBL cell lines, and treated four pre-T LBL cell lines, derived from SCL-LMO1, OLIG2-LMO1, or NHD13 tumors with a Ccr3 antagonist (SB328437). All four of these pre-T LBL cell lines demonstrated growth inhibition, by as much as 85%, suggesting that treatment with a Ccr3 antagonist might be an effective anti-leukemic therapy.

Genes whose expression levels were altered specifically in SCL-LMO1 tumors represent candidates for genes important in malignant transformation of these cells. Of those candidates, Cfl1 was 10.9-fold up-regulated. Since Cfl1 has been shown to be an inhibitor of glucocorticoid receptor that is consistent with the relative resistance of pre-T LBL overexpressing SCL compared to pre-T LBL with other genetic alterations1, 29, 30, we investigated whether the up-regulation of the Cfl11 is important for proliferation of leukemic cell lines derived from SCL-LMO1 mice. It has been shown that both Ras and a costimulation of TCR/CD3 and CD28 activate MAPK/ERK kinase and PI3K, which induces the dephosphorylation of cofilin1. An activation of PI3K by stimulation through CD28 also down-regulates a cyclin-dependent-kinase inhibitor p27kip131. Those cascades lead to the production of cytokines such as IL-2 and subsequent proliferation of T-lymphocytes31, 32. OA, an inhibitor for the serine/threonine phosphatase type2A that phosphorylates cofilin1, treatment demonstrated inhibition of leukemic cell growth, suggesting that activation of Cfl1 is important for growth of leukemic cell lines that overexpress SCL and LMO1. Similarly, Pbx3 was specifically up-regulated in NHD13 pre-T LBL; transfection of T-cell lines with an NHD13 expression vector led to upregulation of Pbx3, suggesting that Pbx3 may be a direct downstream target of NHD13.

We have used gene expression profiling to identify genes and pathways that may be important for malignant transformation of T-cells in general, as well as those genes and pathways that may be important for transformation of T-cells that express known oncoproteins. We found relatively few genes consistently over or under-expressed in pre-T LBL compared to normal thymus, and a larger number of genes that may be important for transformation of thymocytes that express known oncoproteins. Similar to findings with human pre-T LBL, we suspect that the differences in gene expression profile seen in different genetically defined subsets of pre-T LBL may reflect different stages of thymocyte maturation arrest. We tested and confirmed several of the genes that were candidates for general or specific involvement in the malignant transformation of thymocytes, and have identified Ccr3, the Ccl8 receptor, as a novel potential target for treatment of pre-T LBL.

Acknowledgment

We would like to thank our colleague, Drs. Li Li, Christopher Slape, Zhenhua Zhang, and Helge Hartung for technical advices. We also greatly appreciate Dr. Masue Hayashi’s significant discussion. This research was supported by the Intramural Research Program of the NIH, NCI.

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