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Logo of nihpaAbout Author manuscriptsSubmit a manuscriptHHS Public Access; Author Manuscript; Accepted for publication in peer reviewed journal;
 
Cancer Cell. Author manuscript; available in PMC 2013 August 14.
Published in final edited form as:
PMCID: PMC3422691
NIHMSID: NIHMS390673

H2.0-like homeobox (HLX) regulates early hematopoiesis and promotes acute myeloid leukemia

Summary

Homeobox domain-containing transcription factors are important regulators of hematopoiesis. Here we report that increased levels of non-clustered H2.0-like homeobox (HLX) lead to loss of functional hematopoietic stem cells and formation of aberrant progenitors with unlimited serial clonogenicity and blocked differentiation. Inhibition of HLX reduces proliferation and clonogenicity of leukemia cells, overcomes the differentiation block, and leads to prolonged survival. HLX regulates a transcriptional program, including PAK1 and BTG1, that controls cellular differentiation and proliferation. HLX is overexpressed in 87% of patients with acute myeloid leukemia (AML) and independently correlates with inferior overall survival (N=601, p=2.3×10−6). Our study identifies HLX as a key regulator in immature hematopoietic and leukemia cells, and a prognostic marker and therapeutic target in AML.

Introduction

Transcription factors are critical for the regulation of normal hematopoiesis as well as leukemogenesis (Friedman, 2007; Laiosa, Stadtfeld and Graf, 2006; Tenen, 2003). Several members of the Hox (class I homeobox genes) family of transcription factors, which contain a conserved homeobox domain and are organized into 4 major gene clusters in humans, have been implicated in the functioning of hematopoietic stem and progenitor cells (HSPC) as well as in leukemic transformation and the generation of leukemia-initiating cells (Argiropoulos and Humphries, 2007; Krumlauf, 1994; Sitwala, Dandekar and Hess, 2008). Less is known about the role of non-clustered (class II) homeobox genes in hematopoiesis and leukemia. Members of the CDX family, for instance, have been found to be overexpressed in acute leukemias and to regulate Hox gene expression (Bansal, Scholl, et al, 2006; Scholl, Bansal, et al, 2007). Transcriptional analysis of purified stem and progenitor populations has recently been utilized as a powerful tool to identify critical regulators of stem and progenitor cell function and transformation to leukemia-initiating cells (Krivtsov, Twomey, et al, 2006; Majeti, Becker, et al, 2009; Passegué, Wagner and Weissman, 2004; Saito, Kitamura, et al, 2010; Somervaille and Cleary, 2006; Steidl, Rosenbauer, et al, 2006; Steidl, Steidl, et al, 2007). Our analysis of pre-leukemic HSPC in a murine model of AML revealed the non-clustered H2.0-like homeobox (Hlx) gene to be 4-fold upregulated compared to wild-type (WT) HSPC ((Steidl, Rosenbauer, et al, 2006); and data not shown), suggesting that Hlx may be involved in malignant transformation. HLX is the highly conserved human/murine homologue of the homeobox gene H2.0, which shows tissue-specific expression throughout development in Drosophila melanogaster (Allen, Lints, et al, 1991; Hentsch, Lyons, et al, 1996). Additional studies two decades ago detected HLX expression in hematopoietic progenitors and in leukemic blasts of patients with AML, and a study of HLX-deficient fetal liver cells suggested a decrease of colony-formation capacity (Deguchi and Kehrl, 1991; Deguchi, Kirschenbaum and Kehrl, 1992). However, the precise function of HLX in HSPC and its role in leukemia have not been studied, which was the objective of the present study. AML is a heterogeneous disease with overall poor clinical outcome (Marcucci, Haferlach and Dohner, 2011). Less than one third of patients with AML achieve durable remission with current treatment regimens. Furthermore, prognostication and risk stratification of individual patients remains very challenging, in particular in favorable and standard risk groups. New targets need to be identified for effective and individualized therapeutic intervention.

Results

HLX overexpression impairs hematopoietic reconstitution and leads to a decrease in long-term hematopoietic stem cells and persistence of a small progenitor population

To examine the functional consequences of elevated HLX levels on hematopoiesis, we sorted lineage-negative (Lin), Kit+ bone marrow (BM) cells from Ly5.2(CD45.2)+ WT mice, transduced them with a lentivirus expressing HLX and GFP, or GFP alone as a control (Fig. 1A+B), and transplanted them into lethally irradiated congenic Ly5.1(CD45.1)+ recipient mice. Transduction efficiency of control lentivirus and Hlx lentivirus was comparable, with both at approximately 50% (Fig. S1A). Twenty-four hours post-transplantation, both control and HLX-overexpressing GFP+ Ly5.2+ donor cells were detected in the BM at similar frequencies (42.8% and 41.6%, respectively) (Fig. 1C), indicating equal homing of the transplanted cells. Twelve weeks after transplantation, we evaluated hematopoietic multilineage reconstitution in the peripheral blood. Both groups engrafted robustly with an average donor chimerism of Ly5.2 cells of 80% (SD: 10%) and 85% (SD: 9%) in the control and Hlx groups, respectively. However, while mice transplanted with control cells showed 35% (SD: 17%) GFP+ cells in the peripheral blood 12 weeks after transplantation, mice transplanted with Hlx-transduced cells displayed drastically less GFP+ cells with only 0.07% (SD: 0.06%), demonstrating a severe defect of HLX-overexpressing cells in hematopoietic reconstitution (Fig. 1D). To determine the cellular compartments in which HLX was effective, we analyzed stem and progenitor cells in recipient BM. No GFP+ long-term hematopoietic stem cells (LT-HSC; Thy1loFlk2LSK (LinSca1+Kit+)) in mice transplanted with HLX-expressing cells were detected, while control mice displayed on average 42% (SD: 20%) GFP+ LT-HSC (Fig. 1E). Furthermore, in contrast to control animals, we could not find any GFP+ HLX-expressing short-term HSC (ST-HSCs; Thy1loFlk2+LSK), multipotent progenitors (MPP; Thy1 Flk2+LSK), common myeloid progenitors (CMP; LinKit+Sca-1FcγRII/IIIloCD34lo), granulocyte/monocyte progenitors (GMP; LinKit+Sca-1FcγRII/III+CD34+) or megakaryocyte/erythrocyte progenitors (MEP; LinKit+Sca-1FcγRII/IIICD34), indicating that HLX acts at the level of the earliest hematopoietic stem cells (Fig. S1B). When we analyzed Hlx-GFP-transduced LinKit+ (KL) cells by AnnexinV/DAPI staining, both control and HLX-overexpressing cells displayed the same low percentage of apoptotic/necrotic cells (Fig. S1C), indicating that HLX acts by a mechanism other than induction of apoptosis or necrosis. Further analysis for donor-derived cell populations persisting upon HLX overexpression revealed a small population of GFP+, CD45.2(Ly.5.2)+, Lin, CD34, and Kit cells which were still present in the BM 12 weeks after transplantation (Fig. 1F). Analysis for additional surface markers revealed that these cells were characterized by intermediate expression of CD11b, as well as high expression of CD49b and CD44 (Fig. 1G, left panel), which is consistent with the surface phenotype of myeloid precursor cells slightly past the GMP stage (Novershtern, Subramanian, et al, 2011). This CD45+CD11bmidCD49b+CD44+ cell population was 16-fold expanded upon HLX expression in comparison to control (p=1.1×10−5) (Fig. 1G, right panel).

Figure 1
HLX overexpression impairs hematopoietic reconstitution and leads to a decrease in long-term hematopoietic stem cells and persistence of a small progenitor population

HLX confers unlimited serial clonogenicity to CD34Kit hematopoietic cells

Next, we performed in vitro colony formation assays of transduced LSK cells. Hlx-transduced LSK cells formed slightly fewer and smaller colonies than control-transduced LSK cells in the initial plating (Fig. 2A, left panel, and Fig. S2A). To evaluate long-term clonogenic potential of HLX-overexpressing cells, we performed serial-replating assays. LSK cells overexpressing HLX showed greater clonogenic capacity in the 2nd to 5th plating in comparison to control-transduced cells, and maintained serial replating capacity through the 6th to 9th plating (Fig. 2A, right panel), showing a de facto immortalization of this clonogenic progenitor population by HLX. In addition, colonies were noticeably larger in size after five platings compared to control (Fig. 2B). Analysis of cells isolated from the initial plating revealed that HLX overexpression led to a decrease of Kit+ cells, similar to the in vivo phenotype, and an increased proportion of phenotypically more mature CD34Kit cells in comparison to control-transduced cells (Fig. 2C). To further characterize this persisting population, we examined a panel of cell surface markers. While the CD34Kit cells were negative for CD11c, CD25, FcγRII/III, CD61, CD115, and CD150 (Fig. S2B; and data not shown), they expressed CD49b and CD44, as well as intermediate levels of CD11b (Fig. S2B), similar to our observations in vivo (Fig. 1G). To determine which cellular subpopulation conferred the increased clonogenic capacity, we sorted equal numbers of CD34+Kit+ cells, CD34+Kit cells, CD34 Kit+ cells, and CD34Kit cells from the first plating (populations I–IV, see Fig. 2C), and subjected each individual population to colony formation assays. Only CD34Kit cells derived from HLX-overexpressing cells formed a larger number of colonies in comparison to control cells, while all other populations did not display significant clonogenicity (Fig. 2D). Furthermore, the HLX-overexpressing GFP+CD34Kit cells showed serial replating capacity through 4 rounds, while all other populations exhausted significantly earlier (Fig. 2E). Finally, when we injected HLX-overexpressing GFP+CD34 Kit cells from the fourth, sixth, or eighth plating into irradiated NOD-SCID-IL2Rgamma null (NSG) mice, GFP+ cells were detectable after 7 weeks in the peripheral blood (Fig. S2C; and data not shown). These data indicate that increased levels of HLX confer long-term clonogenicity to a population of CD34Kit cells.

Figure 2
HLX overexpression confers serial replating capacity to LinCD34Kit cells

HLX induces a myelomonocytic differentiation block

To investigate the effect of HLX overexpression on differentiation capacity, we analyzed the clonogenic GFP+CD34Kit cells from the first colony assay for the expression of additional cell surface markers. The proportions of Gr1+Mac1+ and Gr1Mac1+, as well as F4/80+Mac1+ expressing cells were significantly reduced (Gr1+Mac1+: from 29.7% (control) (SD: 6.6%) to 16.2% (Hlx) (SD: 1.9%), p=0.026; Gr1Mac1+: from 30.7% (SD: 4.5%) to 11.2% (SD: 2.6%), p=0.003; F4/80+Mac1+: from 31.6% (SD: 4.9%) to 8.9% (SD: 2.8%), p=0.002; N=3), indicative of a defect in myelomonocytic differentiation (Fig. 3A). Expression of erythroid, B-lymphoid, and T-lymphoid markers was unchanged. Furthermore, almost half of the HLX-overexpressing GFP+CD34Kit population (47.6%, (SD: 2.8%)) was lineage-negative, in contrast to only 17% (SD: 1.2%) of GFP+CD34Kit control-transduced cells (p=0.005) (Fig. 3A). Sorted, HLX-overexpressing GFP+Lin CD34Kit cells also showed a significant increase in clonogenicity compared with control-transduced cells (Fig. S3), indicating that HLX acts at the level of LinCD34Kit cells. To specifically test myelomonocytic differentiation, we carried out colony-formation assays with GM-CSF or M-CSF stimulation (Fig. 3B–E). Hlx-transduced cells gave rise to lower numbers of Gr1Mac1+ and F4/80+Mac1+ cells compared to control-transduced cells, upon either GM-CSF or M-CSF stimulation (Fig. 3B, D). Cytomorphological evaluation of cells after stimulation showed an increased percentage of Hlx-transduced cells with immature progenitor morphology, in stark contrast to control-transduced cells which predominantly displayed mature monocytic morphology (Fig. 3C, E). Taken together, our findings show that HLX not only enhances clonogenicity of an increased population of LinCD34Kit cells, but also confers a partial myelomonocytic differentiation block.

Figure 3
HLX induces a myelo-monocytic differentiation block

HLX downregulation inhibits AML

To test whether HLX overexpression is functionally important for AML, we targeted Hlx by RNA interference. We transduced leukemia cells derived from the PU.1 UREΔ/Δ AML model (URE cells) as well as human AML cells with lentiviral constructs expressing either Hlx-directed (sh Hlx) or control shRNA (sh control). Knockdown of HLX by 80% led to significantly reduced cell proliferation in suspension culture, as well as reduced formation of colonies of URE cells in methylcellulose assays in comparison to control cells (p<0.00001) (Fig. 4A, B, C). Likewise, human KG1a, THP1, and MOLM13 AML cells showed 40–60% reduced growth (p=0.003, p=0.001, and p=0.014, respectively) in suspension culture, as well as significantly diminished clonogenicity (p=0.02, p=0.038, and p=0.004, respectively) (Fig. 4D). To test the anti-leukemic effect of HLX suppression in vivo, we performed murine transplantation assays. We found that reduction of HLX levels in transplanted URE cells significantly prolonged recipient survival in comparison to mice transplanted with control shRNA-transduced cells (p=0.0012, and p=0.0041) (Fig. 4E). Taken together, our findings demonstrate that HLX is functionally important for AML cells, and that targeting HLX can inhibit cellular growth, decrease clonogenicity, and lead to improved survival in a murine AML transplantation model. Of note, Hlx heterozygous mice, which show a 50% reduction of HLX protein levels in BM cells, did not show any noticeable effects on normal hematopoiesis, including hematopoietic stem cell functions such as capacity for hematopoietic reconstitution and serial transplantability (Fig. S4).

Figure 4
HLX downregulation inhibits AML

Inhibition of HLX leads to decreased cell cycling, increased cell death, and differentiation of AML cells, and causes significant changes in gene expression

To obtain insight into the mechanism of action of HLX inhibition we studied the cell biological and molecular consequences of knockdown of HLX in leukemia cells. We found that HLX downregulation in URE cells led to a decrease in viable cells, and an increase in necrotic cells (Fig. 5A). This was accompanied by a lower number of cells in S phase (p=0.027), and a higher number of cells in G0/G1 phase of cell cycle (p=0.002) (Fig. 5B). In addition, reduction of HLX led to an increased population of cells expressing lower levels of Kit and higher levels of Gr-1 and Mac1, indicative of myeloid differentiation (Fig. 5C, D). Stimulation with GM-CSF further increased the number of Mac1 and Gr-1 expressing cells, and led to increased differentiation of AML cells upon sh Hlx treatment in comparison to control-treated cells, which retained an immature, leukemic morphology (Fig. 5E). This observation shows that inhibition of HLX can overcome the myeloid differentiation block of AML cells.

Figure 5
Inhibition of HLX leads to decreased cell cycling, increased cell death, and differentiation of AML cells, and causes significant changes in gene expression

To gain insight into the molecular effects caused by HLX inhibition, we measured gene expression profiles of sh Hlx-transduced URE cells and control shRNA-transduced cells. Leukemia cells treated with Hlx-directed shRNAs displayed an altered gene expression pattern with 392 genes being significantly differentially expressed (mean difference > 0.5 (log2), p<0.05) (Fig. 5F). Gene set enrichment analysis (GSEA) showed that “leukocyte differentiation”, “cell activation”, and “cell proliferation” were among the most significantly affected cellular functions (Fig. 5G), which is consistent with the leukemia-inhibitory effect of HLX reduction in URE cells. We specifically found that several key genes involved in the regulation of cell cycle and proliferation, cell death, and myeloid differentiation, were significantly changed upon HLX downregulation (Fig. 5H). We confirmed differential expression of several genes, namely Btg1, FoxO4, Fyn, Gadd45a, RhoB, Trp63, Zfp36l1, Hdac7, and Pak1 by qRT-PCR (Fig. 5J and Fig. S5A). We also found enrichment of genes involved in pathways of other cellular functions (Fig. S5B). Further, we utilized GSEA to compare the Hlx knockdown data with the molecular signatures database (MSigDB) (Mootha, Lindgren, et al, 2003; Subramanian, Tamayo, et al, 2005), and found negative enrichment of several known leukemia- and stem cell-related gene signatures (Table S1). Taken together, these data are consistent with a model that HLX overexpression leads to activation of a specific transcriptional program in leukemia cells which affects processes critical for leukemogenesis such as cell differentiation and proliferation, and which can at least partially be reversed by inhibition of HLX.

We focused on two downstream genes modulated upon HLX inhibition in AML cells, Pak1 and Btg1, which have previously been implicated in the regulation of cell cycle and malignant proliferation (Ong, Jubb, et al, 2011; Kuo, Duncavage, et al, 2003). Knockdown of PAK1 in KG1a AML cells led to a significant inhibition of cell proliferation (p<0.05) and clonogenicity (p<0.03) (Fig. 5K, Fig. S5C), mimicking the effects we had observed by knockdown of HLX. Similarly, ectopic expression of BTG1 led to a significant inhibition of cell growth (p<0.01) and colony forming capacity (p<0.008) of KG1a cells (Fig. 5L, Fig. S5D). These findings suggest that downregulation of PAK1 and upregulation of BTG1 are functionally relevant for mediating the leukemia-inhibitory effects of HLX knockdown.

HLX is overexpressed in patients with AML

To examine whether HLX overexpression plays a role in human leukemia, we analyzed gene expression data of 354 patients with AML (Figueroa, Lugthart, et al, 2010; Wouters, Lowenberg, et al, 2009). HLX was overexpressed in 87% of patients with AML in comparison to CD34+ cells of healthy donors (Fig. 6A). On average, HLX expression was 2.03-fold higher in AML patients (p=1.9×10−9; Fig. 6B). 54% (190 out of 354) of patients with AML overexpressed HLX more than 2-fold, with the range extending up to 6.8-fold overexpression. These results demonstrate that HLX overexpression is a common feature in patients with AML. HLX overexpression was found across different French-American-British (FAB) classification subsets of AML (Table S2). Of note, high HLX expression was significantly more frequent in AML with myelomonocytic (M4) and monoblastic (M5) morphology, which is consistent with the observed myelomonocytic differentiation block caused by HLX overexpression in vitro.

Figure 6
HLX is overexpressed in patients with AML and correlates with poor overall survival

Increased HLX expression correlates with inferior survival

We further sought to examine if HLX expression levels in patients were associated with known clinical or molecular parameters. We analyzed 4 published datasets of patients with AML, of whom gene expression and time-to-event data were available (NCBI GEO accessions GSE10358, GSE12417 (U133A), GSE12417 (U133plus2), and GSE14468 (Metzeler, Hummel, et al, 2008; Tomasson, Xiang, et al, 2008; Wouters, Lowenberg, et al, 2009)). As the lower 25% of patients had HLX expression levels very similar to CD34+ cells of healthy donors (Fig. 6B), we decided to use the 25th percentile to dichotomize patients into “HLX high” and “HLX low” expressers. We compared the overall survival of AML patients with low versus high HLX, and observed that in each of the 4 different data sets, high HLX expression was associated with inferior overall survival (Fig. S6A–D). Overall survival (irrespective of HLX status) in datasets GSE12417 (U133plus2.0), GSE14468 and GSE10358 was very similar, with superimposable survival curves (p=0.4636, log-rank test; Fig. S6E), suggesting that these cohorts and their clinical outcomes could be combined for further analyses. The GSE12417 (U133A) dataset showed a worse overall survival outcome compared with the other datasets (Fig. S6F) and was therefore not included in the combined analysis. Consistent with the analyses of the individual datasets, the evaluation of the combined set of patients from the GSE10358, GSE12417 (U133plus2.0) and GSE14468 datasets (N=601 total) confirmed that high HLX levels are associated with inferior overall survival (p=2.336 × 10−6 (log-rank); hazard ratio (HR)=0.57 (95% CI: 0.046–0.71); median survival: 17.05 months (HLX high), “not reached” (HLX low); 5-yr survival rate: 32.95% (HLX high), 55.85% (HLX low)) (Fig. 6C). To assess whether the impact of HLX expression on overall survival is independent of known prognostic factors for AML, we performed multivariate analysis based on the data of the GSE14468 dataset (Figueroa, Lugthart, et al, 2010; Wouters, Lowenberg, et al, 2009), using a Cox regression model. In this analysis, high HLX status remained an independent prognostic factor (p=0.0416, HR 1.521) along with FLT3 mutation status (p=0.0003, HR 1.925), NPM1 mutation status (p=0.0006, HR 0.518), CEBPA mutation status (p=0.0371, HR 0.693), and cytogenetic risk group (p=0.0109, HR 1.382). Of note, the relative blast percentage in the bone marrow was not correlated with HLX expression or overall survival (Fig. S6G–I). The independent prognostic role of HLX status led us to hypothesize that it may provide additional prognostic information for patients who belong to previously established, molecularly defined subtypes of AML. We indeed observed that among patients with FLT3 WT, NPM1 mutations, or CEBPA mutations, high HLX expression was associated with inferior overall survival (p=0.0175, p=0.0407 and p=0.0306, respectively) (Fig. 6D–F).

An HLX-dependent transcriptional signature is functionally relevant in AML patients

To obtain insight into the molecular consequences of elevated HLX levels we overexpressed HLX in sorted murine LSK cells and performed genome-wide transcriptional analysis. We found that 195 genes were significantly changed, resulting in a clearly distinguishable expression signature induced by HLX overexpression (Fig. S6J). Using GSEA we found enrichment of known leukemia- and stem cell-related gene signatures, consistent with our previous findings (Table S3).

Next, we tested whether this mouse LSK HLX overexpression gene set correlated with HLX expression in human AML patients. Specifically, we compared the human orthologs of the mouse gene set to HLX expression levels of AML patients in the different cohorts using globaltest (Goeman, van de Geer, et al, 2004). We found a highly significant correlation between the mouse gene signature and HLX expression in human AML samples (p=7.43×10−23 for GSE14468, p=2.13×10−08 for GSE10358, p=2.31×10−06 for GSE12417 (U133plus2.0), and p=5.01×10−10 for GSE12417 (U133A)). Further, we intersected differentially expressed genes from the HLX overexpression or inhibition studies with analogously differentially expressed genes in “HLX high” versus “HLX low” patients of the GSE14468 data set, and analyzed these genes for association with survival. Thereby, we were able to define an HLX-dependent core set of 17 genes (referred to as “HLX signature”) correlating with HLX expression status in patients with AML (Fig. 6G). When we dichotomized patients into “HLX signature high” versus “HLX signature low” patients (defined by the genes of the signature, excluding HLX), we found that “HLX signature high” patients had significantly inferior overall survival (p=0.0089 (log-rank); hazard ratio (HR)=0.66 (95% CI: 0.48 to 0.90); median survival: 17.22 months for HLX signature high, “not reached” for HLX signature low; 5-yr survival rate: 34.5% for HLX signature high, 53.9% for HLX signature low) (Fig. 6H).

We subsequently validated the HLX signature in an independent cohort of patients, the GSE10358 data set, and found that the signature correlated strongly (p=7.8×10−11) with “HLX high” versus “HLX low” expression status in these AML patients as well (Fig. 6I). Furthermore, “HLX signature high” patients showed a strikingly inferior overall survival (p=1.89x10−05 (log-rank); hazard ratio (HR)=0.42 (95% CI: 0.28 to 0.62); median survival: 18.3 months (HLX signature high), “not reached” (HLX signature low); 5-yr survival rate: 29.0% (HLX signature high), 67.0% (HLX signature low)) (Fig. 6J). Taken together, these data suggest that elevated HLX levels cause a specific, functionally critical gene expression signature in human AML.

Interestingly, PAK1 was part of the HLX-induced prognostic signature. Given our finding that PAK1 mediates the leukemia-inhibitory effects of HLX knockdown in AML cells (Fig. 5K), we asked whether PAK1 expression levels alone may be functionally relevant in AML patients. We dichotomized AML patients into “PAK1 high” and “PAK1 low” expressers and analyzed clinical outcome. “PAK1 high” patients showed significantly inferior overall survival (p=0.00014 (log-rank)) than “PAK1 low” patients (median: 17.7 months (PAK1 high) vs. 109.1 months (PAK1 low); 5-yr survival rate: 34.0% (PAK1 high) vs. 50.5% (PAK1 low)) (Fig. S6K). Of note, high PAK1 expression was associated with inferior overall survival only in patients of the “HLX high” group (p=0.0005 (log-rank); hazard ratio (HR)= 0.62 (95% CI: 0.48 – 0.81)); median survival: 15.8 months (PAK1 high), 42.0 months (PAK1 low); 5-yr survival rate: 29.7% (PAK1 high), 48.1% (PAK1 low)), but not in “HLX low” patients (p=0.77 (log-rank); hazard ratio (HR)= 1.08 (95% CI: 0.65 – 1.78)); 5-yr survival rate: 55.0% (PAK1 high), 55.0% (PAK1 low)) (Fig. S6L,M). In addition, PAK1 expression levels were on average 1.5-fold higher (p=2.2×10−16) in “HLX high” patients compared to “HLX low” patients (Fig. S6N), and HLX and PAK1 expression levels in individual patients were also significantly correlated (p=8.8x10−15, R=0.31; Fig. S6O). Furthermore, experimental overexpression of HLX in LSK cells led to a significant increase in Pak1 mRNA expression (1.9-fold, p=0.017; Fig. S6P).

Discussion

Utilizing both mouse and human model systems we have shown that the class II homeobox protein HLX affects hematopoietic stem cell function, as well as clonogenicity and differentiation of immature hematopoietic progenitor cells. We found that HLX is significantly overexpressed in the majority of patients with AML, and that high HLX expression levels are independently associated with inferior clinical outcome. Thereby, our study identifies HLX as a class II homeobox gene which is critically involved in the pathogenesis of acute myeloid leukemia. Our finding that increased HLX expression correlates with more aggressive disease, combined with the observation that HLX knockdown results in an inhibition of growth and clonogenicity of leukemia cells further suggest that HLX may be a promising prognostic and therapeutic target. Future studies evaluating HLX in the context of different therapies will be required to determine if HLX also has predictive relevance.

Many clustered (class I, or HOX) homeobox genes have been implicated in normal hematopoiesis as well as leukemia, but much less is known about the role of non-clustered (class II) homeobox transcription factors (for review see (Argiropoulos and Humphries, 2007)). Several HOX genes are expressed at high levels in subtypes of AML (Alcalay, Tiacci, et al, 2005; Ayton and Cleary, 2003; Bullinger, Dohner, et al, 2004; Horton, Grier, et al, 2005). Important roles in leukemic transformation have been demonstrated specifically for several members of the HOX-A and the HOX-B cluster (Fischbach, Rozenfeld, et al, 2005; Krivtsov, Twomey, et al, 2006; Kroon, Krosl, et al, 1998; Sauvageau, Thorsteinsdottir, et al, 1997; Somervaille and Cleary, 2006; Thorsteinsdottir, Sauvageau, et al, 1997). Also, the non-clustered homeobox gene CDX2 was recently reported to be implicated in leukemogenesis (Scholl, Bansal, et al, 2007). However, the clinical significance of these known HOX genes is largely unclear. Here, we report that expression levels of a homeobox gene are strongly associated with inferior overall survival in several large, independent cohorts of patients with AML. Furthermore, the prognostic value of HLX is a broad phenomenon across several molecular subsets of patients, and HLX holds up as an independent prognostic factor in a multivariate model. Gene expression analyses upon experimental overexpression and inhibition of HLX demonstrated that HLX regulates the expression of a specific subset of genes, and that part of this “HLX signature” is also detectable in AML patients and discriminates between patients with poor and favorable clinical outcome. Taken together, these observations suggest that HLX is a key regulator of a gene subset critical for AML pathogenesis, and that it may define a previously unrecognized molecular subtype of AML with distinct biological features and clinical outcome.

We identified PAK1 and BTG1 as two genes downstream of HLX in myeloid cells, and show that PAK1 and BTG1 are functionally relevant in AML cells. Notably, PAK1 is upregulated in human AML patients with high HLX expression, and it is also part of the HLX-induced core signature that independently predicts overall survival in AML patients. Interestingly, high PAK1 expression itself is associated with inferior overall survival, but only in patients with high HLX expression, indicating that there is an interaction of HLX and PAK1 with respect to their impact on overall survival. The correlation of HLX and PAK1 expression levels in the murine HLX knockdown model and in patients with AML, together with the observed induction of Pak1 expression upon HLX overexpression in stem cells strongly suggest that Pak1 is a downstream target of HLX and critically mediates, at least in part, the leukemia-promoting effects of HLX in patients in vivo. Further studies will be required to determine the exact nature of this regulation, and whether it is direct or indirect.

Several HOX genes, such as HOXB4, have been reported to be stimulators of HSC function and expansion (Antonchuk, Sauvageau and Humphries, 2002; Sauvageau, Thorsteinsdottir, et al, 1995). Our data show that HLX suppresses the function of normal immature HSC and progenitors, however leads to an increase of clonogenicity, as well as a differentiation block at the level of phenotypically more mature progenitors. As the loss of HSC does not seem to be mediated by induction of apoptosis or necrosis, one may speculate that HLX exerts this dual role by triggering initial differentiation of HSC and suppression of terminal differentiation at a more committed progenitor level. Further studies will be required to understand the molecular basis of this effect. While overexpression of HLX led to the formation of myeloid progenitors with unlimited serial clonogenicity, we so far did not observe development of leukemia upon transplantation, suggesting that HLX elevation alone may not be sufficient for full transformation. Like other homeobox genes, Hlx may function in concert with co-factors (Moens and Selleri, 2006; Pineault, Abramovich, et al, 2004). Such co-factors could confer cell type specificity to the effects of HLX overexpression, and also contribute to leukemic transformation. It is also possible that increase of HLX plays a role in leukemia maintenance rather than leukemia induction.

Several transcription factors that govern normal hematopoietic differentiation have been implicated in leukemogenesis by blocking differentiation and promoting self-renewal and clonogenicity (for review see (Rosenbauer and Tenen, 2007)). HLX may act similar to those factors by establishing a specific gene expression program in early HSPC, which results in increased long-term clonogenicity and a differentiation arrest, contributing to poor clinical outcome. Thus, HLX expression levels may be utilized to predict clinical outcome and improve risk stratification. Finally, inhibition of HLX may be a promising strategy for treatment of patients with AML.

Experimental Procedures

Mice and cells

FVB/nJ mice (Ly5.1), C57BL/6J (Ly5.2) mice, and B6.SJL-Ptprca Pepcb/BoyJ (Pep boy, Ly5.1), and NOD.Cg-Prkdcscid Il2rgtm1Wjl/SzJ (NSG) mice were used for in vitro assays and in vivo transplantation assays. Mice with targeted disruption of the upstream regulatory element (URE) of the PU.1 gene have been previously described (Rosenbauer, Wagner, et al, 2004). All animal experiments were approved by the Institutional Animal Care and Use Committee of the Albert Einstein College of Medicine (protocol # 20080109). URE cells were established and maintained as described previously (Steidl,Rosenbauer, et al, 2006). Human AML cell lines THP1, MOLM13, and KG1a were cultured under standard conditions.

Flow Cytometric Analysis and Sorting

Mononuclear cells were purified by lysis of erythrocytes. For analysis and sorting we used antibodies directed against CD4[GK1.5], CD8a[53-6.7], CD19[eBio1D3], Gr-1[RB6-8C5], B220[RA3-6B2], F4/80[BM8], c-kit[ACK2], Sca-1[D7], CD34[RAM34], CD16/32[93], Flk-2[A2F10], Mac1[M1/70], Ter119[TER-119], and Thy-1.2[53-2-1]. To distinguish donor from host cells in transplanted mice, cells were additionally stained with anti-CD45.1[A20] and CD45.2[104]. Analysis and sorting were performed using a FACSAria II Special Order System (BD Biosciences, San Jose, CA). See Supplemental Experimental Procedures for more details.

Lentiviral vectors and transduction

For overexpression studies, we introduced the mouse Hlx coding sequence into the EcoRI site of a pCAD-IRES-GFP lentiviral construct (Steidl, Steidl, et al, 2007). For BTG1 overexpression we introduced the human BTG1 coding sequence into the EcoRI site of the pCAD-IRES-GFP construct. For murine knockdown studies, we inserted shRNA template oligonucleotides (target sense strand-loop-target antisense strand-TTTTT) into the pSIH1-H1-copGFP shRNA vector (System Biosciences, Mountain View, CA). For human knockdown studies we utilized the pGIPZ system from Open Biosystems, Huntsville, AL. See Supplemental Experimental Procedures for sequence information. For knockdown of PAK1 we utilized the plko.1-puro vector system (Sigma) with non-silencing control or human PAK1 target. Lentiviral particles were produced utilizing 293T cells, and concentrated by ultracentrifugation. For overexpression studies, we treated sorted LinKit+ cells from WT C57BL/6J (Ly5.2) BM (for in vivo assays) or LinKit+Sca-1+ cells from WT FVB/nJ BM (for in vitro assays) with control virus or Hlx virus. In brief, sorted cells were cultured with lentiviral supernatants in the presence of 8µg/ml polybrene. 24 hours after transduction, cells were washed with PBS and then used for experiments. After 40 hours, transduction efficiency was determined by flow-cytometry. For knockdown studies, cells were incubated with short-hairpin-containing lentivirus for 24 hours. GFP+ cells were sorted using a FACS Aria II sorter (BD Biosciences) and used for experiments.

Quantitative real-time PCR

We extracted total RNA from FACS-sorted cells or cultured cells using RNeasy Micro kit (Qiagen, Valencia, CA) and synthesized cDNA by Superscript II reverse transcriptase (Invitrogen, Carlsbad, CA). We performed real-time PCR using an iQ5 real-time PCR detection system (BIO-RAD, Hercules, CA) with 1 cycle of 50°C (2min) and 95°C (10min) followed by 40 cycles of 95°C (15sec) and 60°C (1min) using Power SYBR Green PCR master mix (AB, Carlsbad, CA) (see Supplemental Experimental Procedures for primer sequences).

Cell proliferation, cell cycle, and apoptosis assays

See Supplemental Experimental Procedures.

Colony formation assays and serial replating assays

Assays were performed in MethoCult M3434 (Stem Cell Technologies, Vancouver, BC) containing IL-3, IL-6, SCF, and EPO or in MethoCult M3234 supplemented with M-CSF or GM-CSF as previously described (Higuchi, O'Brien, et al, 2002;Huntly, Shigematsu, et al, 2004;Will, Kawahara, et al, 2009). GFP+ colonies were scored 8–10 days after plating using an AXIOVERT 200M microscope (Zeiss, Maple Grove, MN). After scoring, we resorted GFP+ cells after each round and then proceeded with serial replating assays. Cells were replated and colonies were again scored after 10–14 days.

Transplantation assays

For HLX overexpression studies, 5×104 lentivirus-transduced LinKit+ cells (Ly5.2) together with 2.5×105 spleen cells from congenic WT recipients (Ly5.1) were transplanted into lethally irradiated age-matched congenic WT recipients (Ly5.1) by retroorbital vein injection. Total body irradiation was delivered in a single dose of 950 cGy using a Shepherd 6810 sealed-source 137Cs irradiator.

Micorarray experiments and analysis

RNA was extracted from sorted GFP+ cells utilizing the RNeasy Micro Kit (Qiagen). After evaluation of the quality of RNA with an Agilent2100 Bioanalyzer, total RNA was used for amplification utilizing the Nugen Ovation pico WTA system according to the manufacturer’s instructions. After labeling with the GeneChip WT terminal labeling kit (Affymetrix), labeled cRNA of each individual sample was hybridized to Affymetrix Mouse Gene 1.0ST microarrays (Affymetrix), stained, and scanned by GeneChip Scanner 3000 7G system (Affymetrix) according to standard protocols. For data analysis we utilized Multiple Experiment Viewer v.4 pilot2 (Saeed, Bhagabati, et al, 2006), DAVID bioinformatics tool (Huang da, Sherman and Lempicki, 2009a; Huang da, Sherman and Lempicki, 2009b), Enrichment Map Cytoscape plugin (Cline, Smoot, et al, 2007; Merico, Isserlin, et al, 2010), and Gene Set Enrichment Analysis v2.0 (GSEA) (Mootha, Lindgren, et al, 2003; Subramanian, Tamayo, et al, 2005). See Supplemental Experimental Procedures for details.

Data sets and statistical analysis

We analyzed the publicly available gene expression data sets with accession numbers GSE12417 (training set U133A and U133B; test set U133plus2.0), GSE14468, and GSE10358 (http://www.ncbi.nlm.nih.gov/geo/). Clinical outcome and mutational data for the GSE10358 dataset were obtained from a recent study of the same group (Ley, Ding, et al, 2010). Analyses of the gene expression profiles from GSE14468, GSE12417 training set and GSE10358 were performed based on published (Gentles, Plevritis, et al, 2010) and publicly available MAS5 files (GSE24006) with reanalyzed data. For analysis of the test set of the GSE12417 dataset, CEL files were processed using GenePattern (Broad Institute, Cambridge MA) for normalization (Expression File Creator algorithm). We utilized GraphPad Prism 5.0, R/Bioconductor sva package (R package version 3.2.0)(Leek, Johnson, et al.,2012), and SPSS 18.0 statistical package for further analyses. See Supplemental Experimental Procedures for details.

Signature generation and calculation of signature scores

We utilized dChip (http://biosun1.harvard.edu/complab/dchip/), SAM (significance analysis of microarrays), as well as R/Bioconductor globaltest (Goeman, van de Geer, et al, 2004) for signature identification, followed by calculation of signature scores. See Supplemental Experimental Procedures for details.

Highlights

  • Elevated Hlx levels lead to loss of HSC and formation of aberrant progenitors with unlimited serial clonogenicity
  • Decrease of Hlx inhibits leukemic cell growth, overcomes the differentiation block, and prolongs survival in vivo
  • HLX is overexpressed in the vast majority of AML patients
  • High levels of HLX independently correlate with inferior survival of AML patients

Significance

AML is a heterogeneous disease with poor clinical outcome. Less than one third of patients achieve durable remission with current treatment regimens, and prognostication and risk stratification of individual patients is challenging. New molecular targets are desired for more effective therapeutic intervention. We identify the non-clustered homeobox gene Hlx as a key regulator in immature hematopoietic and leukemia cells. HLX is overexpressed in the majority of AML patients, and high levels of HLX correlate with inferior survival. Inhibition of HLX overcomes the differentiation block of AML, and prolongs survival in an in vivo model. As a key factor controlling malignant cell growth and differentiation, HLX may be a prognostic and therapeutic target in AML and possibly other types of cancer.

Supplementary Material

01

Acknowledgments

We thank the Einstein Human Stem Cell FACS and Xenotransplantation Facility for expert technical assistance (supported by NYSTEM, C024172). This work was supported by a new investigator award of the Leukemia Research Foundation, NYSTEM grant #CO24350, a Howard Temin Award of the NCI (R00CA131503), and a Medical Research Award of the Gabrielle’s Angel Foundation for Cancer Research (to U.S.). U.S. is the Diane and Arthur B. Belfer Faculty Scholar in Cancer Research of the Albert Einstein College of Medicine.

Footnotes

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Accession number

Complete array data are available in the Gene Expression Omnibus (GEO) of NCBI (Edgar, Domrachev and Lash, 2002), accession number GSE27947.

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