The differential expression pattern of the BMI-1, SALL4 and ABCA3 genes in myeloid leukemia

  • Qi Shen1,

    Affiliated with

    • Sichu Liu1,

      Affiliated with

      • Junyan Hu1,

        Affiliated with

        • Shaohua Chen1,

          Affiliated with

          • Lijian Yang1,

            Affiliated with

            • Bo Li1,

              Affiliated with

              • Xiuli Wu1,

                Affiliated with

                • Yu Ma1,

                  Affiliated with

                  • Jianchang Yang2,

                    Affiliated with

                    • Yupo Ma3 and

                      Affiliated with

                      • Yangqiu Li1, 4Email author

                        Affiliated with

                        Cancer Cell International201212:42

                        DOI: 10.1186/1475-2867-12-42

                        Received: 15 September 2012

                        Accepted: 10 October 2012

                        Published: 15 October 2012

                        Abstract

                        Background and methods

                        In order to characterize the expression pattern of SALL4, BMI-1 and ABCA3 genes in patients with myeloid leukemia and those who achieved complete remission (CR) after chemotherapy. Real-time PCR was used to determine the expression level of these genes in peripheral blood mononuclear cells from 24 patients with AML, eight patients with AML-CR, 13 patients with CML in the chronic phase (CML-CP), 12 patients with CML in blast crisis (CML-BC), 13 patients with CML-CR and 11 healthy individuals (HI).

                        Results

                        Overexpression of the BMI-1 gene was found in the AML, CML-CP and CML-BC groups as compared with HI group, while the BMI-1 expression level was lower in patients who achieved CR. In contrast, significantly increased SALL4 expression was only found in AML group, additionally, SALL4 expression was lower in the CML-CP and CML-CR groups compared with the HI group, while the SALL4 expression level in the CML-BC group was higher and significantly greater than that in the CML-CP and CML-CR groups. Moreover, a positive correlation between the expression of SALL4 and BMI-1 genes was found in samples from most groups. There was no significant difference of ABCA3 expression level in AML and CML-BC group in comparison with HI group. Interestingly, the ABCA3 expression level was significantly decreased in the CML-CP, AML-CR and CML-CR in comparison with the HI group. Moreover, the ABCA3 expression level in all of the CR groups was lower than that in their corresponding groups.

                        Conclusions

                        These results describe the altered SALL4, ABCA3 and BMI-1 expression pattern in different phases of myeloid leukemia, which may relate to the development and progression to different diseases. SALL4 expression was strongly correlated with BMI-1 in most of the myeloid leukemia patient groups, providing a potential link between SALL4 and BMI-1 in leukemogenesis.

                        Keywords

                        SALL4 gene BMI-1 gene Real-time PCR AML CML

                        Background

                        The altered expression of genes, such as WT1, SCL, and Notch1, that play crucial roles in the regulation of hematopoietic progenitor cell proliferation is frequently found in leukemia [17]. Increasing data show that the genes involved in hematopoietic stem/progenitor cell (HSPC) proliferation change their expression pattern during leukemogenesis [8].

                        SALL4 (sal-like protein 4), a SALL gene family member that is a newly identified zinc-finger transcription factor, was originally cloned based on its sequence homology to Drosophila spalt (sal) [912]. Alternative splicing generates two variant forms of human SALL4 mRNA, SALL4A and SALL4B, and each has a different tissue distribution [9, 13]. Recently, SALL4 has been shown to play an important role in maintaining ES cell (ESC) pluripotency and self-renewal properties. SALL4 is involved in the self-renewal of leukemic initiation and HSPC [14]. Moreover, recent data have shown that SALL4 plays an essential role in myeloid leukemogenesis. SALL4 is constitutively expressed in human leukemia cell lines and primary acute myeloid leukemia (AML) cells [9, 13]. Transgenic mice that ubiquitously overexpress SALL4B exhibit myelodysplastic syndrome (MDS)-like symptoms and subsequently develop transplantable AML [9, 13], while SALL4 knockdown in leukemia cell lines triggers apoptosis [15].

                        BMI-1 is a member of the polycomb group of proteins, and it was initially identified in Drosophila as a repressor of homeotic genes [9, 1618]. The BMI-1 gene was initially isolated as an oncogene that cooperates with c-myc in retroviral-induced B and T cell leukemia [19, 20]. In humans, BMI-1 is highly expressed in purified HSCs, and its expression declines with differentiation [9, 21], and it plays an essential role in regulating adult, self-renewing HSPC and leukemia stem cells [9, 2127]. Knockout of the BMI-1 gene in mice results in the progressive loss of all hematopoietic lineages [9, 25]. BMI-1 expression appears to be important for the accumulation of leukemic cells. Interestingly, inhibiting tumor stem cell self renewal after BMI-1 deletion can prevent leukemic recurrence. Recently, BMI-1 expression has been used as an important marker for predicting MDS development and the progression to AML [9, 28]. BMI-1 overexpression was also observed in a significant number of nasopharyngeal carcinoma tumors that correlated with advanced tumor progression, invasive stage and poor prognosis [19, 29].

                        BMI-1 was recently demonstrated to be a direct SALL4 target gene. The induction of SALL4 expression is associated with increased levels of histone H3–K4 and H3–K79 methylation in the BMI-1 promoter, indicating a novel connection between SALL4 and polycomb group proteins in leukemogenesis and a mechanism whereby aberrant SALL4 expression can directly alter BMI-1 expression [9].

                        Moreover, SALL4 expression was higher in drug resistant primary acute myeloid leukemic patients than those from drug-responsive cases. In addition, SALL4 expression was enriched in the SP when compared to the non-SP counterpart. Recently, it is reported that SALL4 could promote the expression of the ABC transporter genes, such as ATP binding cassette transporter A3 (ABCA3), suggesting that SALL4 can contribute to the SP phenotype by regulating the expression of ABCA3 and ABCG2[15].

                        ABCA3 is a member of the ATP-binding cassette (ABC) family of transport proteins and is required for perinatal respiratory adaptation. Mutations in ABCA3 resulted in fatal neonatal lung disease [30, 31]. ABCA3 is highly expressed in AML and ALL patient samples and its expression is associated with unfavorable clinical treatment outcome. Furthermore, the expression of ABCA3 is enriched in leukemic SP cells and has been linked to multidrug resistance by facilitating lysosomal sequestration of drugs in AML primary cells and cell lines [15, 3235]. RNAi specific for ABCA3 led to a decrease of ABCA3 expression in T-ALL cell line such as CCRF-CEM and Jurkat cells. Consequently, a significant sensitization of cells to cytostatic drugs was achieved [35]. Moreover, both pharmacological blockade and the silencing of ABCA3 enhanced susceptibility of target B-cell lymphoma cells to anti-CD20 antibody-mediated lysis. Mechanisms of cancer cell resistance to drugs and antibodies are linked in an ABCA3-dependent pathway of exosome secretion [36].

                        Little is known about the expression pattern of the SALL4, ABCA3 and BMI-1 genes in patients with myeloid leukemia and patients that achieved complete remission after chemotherapy. In this study, we determined the expression characteristics of the SALL4, ABCA3 and BMI-1 genes in de novo AML and CML and complete remission samples.

                        Results

                        The high amplification efficiency of the BMI-1 and SALL4 genes was consistent with that of the β2M reference gene. The PCR products from all of the genes of interest were confirmed using 2.5% agarose gel electrophoresis followed by sequencing (data not shown). The BMI-1 and SALL4 genes were detected in all of the PBMC samples from the healthy individuals and those with myeloid leukemia.

                        Higher expression of BMI-1 in AML and CML

                        BMI-1 overexpression was found in the de novo AML (median: 0.303, p <0.001), CML-CP (median: 0.295, p=0.006), and CML-BC (median: 0.109, p=0.01) groups in comparison with the HI group (median: 0.027); the BMI-1 expression level in the AML-CR group (median: 0.078) was not significantly different compared with the HI group (p=0.322). Interestingly, the BMI-1 expression level in the CML-CR group (median: 0.003) was significantly lower than that in the HI (p< 0.0001) and CML groups (p< 0.0001).

                        We next analyzed BMI-1 expression in different AML subtypes, including M2 (median: 0.400), M3 (median: 0.156) and M5 (median: 0.295), and all had a significantly higher expression level compared to the HI group (p=0.003, p=0.01 and p=0.004, respectively), while the BMI-1 expression level in the M2-CR (median: 0.070) and M3-CR (median: 0.099) groups was not significantly different in comparison to that of the HI group (p=0.514 and p=0.361, respectively) (Figures 1 and 2).
                        http://static-content.springer.com/image/art%3A10.1186%2F1475-2867-12-42/MediaObjects/12935_2012_370_Fig1_HTML.jpg
                        Figure 1

                        The BMI-1 (A), SALL4 (B) and ABCA3 (C) expression levels in the different myeloid leukemia groups and healthy individuals.

                        http://static-content.springer.com/image/art%3A10.1186%2F1475-2867-12-42/MediaObjects/12935_2012_370_Fig2_HTML.jpg
                        Figure 2

                        The BMI-1 (A), SALL4 (B) and ABCA3 (C) expression levels in the different AML subtypes and healthy individuals.

                        Different expression pattern of SALL4 in AML and CML

                        The expression pattern appeared different for SALL4 in the different myeloid leukemia in comparison with the HI group (median: 0.394). While the SALL4 expression level was increased in the AML group (median: 1.051; p=0.009), CML-BC group (median: 1.563; p=0.016) and the different AML subtypes M2 (median: 0.974; p=0.039), M3 (median: 0.799; p=0.083) and M5 (median: 1.465; p=0.026), it was lower in the AML-CR (median: 0.026; p=0.026), M2-CR (median: 0.105; p=0.151) and M3-CR (median: 0.023; p=0.037) groups. Interestingly, the level of SALL4 expression in the CML-CP (median: 0.093; p=0.213) and CML-CR groups (median: 0.025; p<0.0001) was lower in comparison with the HI group, and the increased SALL4 expression level in the CML-BC group (median: 1.563) was significantly higher than that in the CML-CP (p=0.001) and CML-CR (p<0.0001) groups. The SALL4 expression level in all of the CR groups was lower than that in their corresponding groups i.e., AML vs. AML-CR (p< 0.0001), M2 vs. M2-CR (p=0.017), M3 vs. M3-CR (p=0.007) and CML vs. CML-CR (p=0.011) (Figures 1 and 2).

                        Low expression of ABCA3 in myeloid leukemia

                        The expression level of ABCA3 seemed low in the different myeloid leukemia in comparison with the HI group. There was no significant difference of ABCA3 expression level in AML (median: 0.211; p=0.136), CML-BC (median: 0.174; p=0.097) and the different AML subtypes M2 (median: 0.242; p=0.215), M3 (median: 0.195; p = 0.186) and M5 (median: 0.221; p=0.364) in comparison with the HI group (median: 0.313). While the ABCA3 expression level was significantly decreased in the CML-CP (median: 0.025; p <0.0001), AML-CR (median: 0.078; p=0.0011) and CML-CR (median: 0.037; p <0.0001) in comparison with the HI group. Moreover, the ABCA3 expression level in all of the CR groups was lower than that in their corresponding groups i.e., AML vs. AML-CR (p=0.042) (Figures 1 and 2).

                        Correlation of relative expression of BMI-1, SALL4 and ABCA3 in myeloid leukemia

                        Correlation analysis of the relative expression levels of BMI-1 and SALL4,SALL4 and ABCA3 was performed using Spearman’s rank correlation analysis of the HI, AML and CML groups. A positive expression correlation level for BMI-1 and SALL4 genes was found in the HI (rs=0.687, p=0.014), AML (rs=0.762, p< 0.0001), M3 (rs=0.994, p< 0.0001), CML-CP (rs=0.742, p=0.004), CML-BC (rs=1=0.846, p=0.001), M2-CR (rs=1, p < 0.0001) and CML-CR (rs=0.534, p=0.049) groups. However, there was no significant correlation for both genes in the M2 (rs=0.381, p=0.352), M5 (rs=0.643, p=0.086), M3-CR (rs=0.40, p= 0.060) and AML-CR (rs=0.643, p=0.086) groups (Figure 3). A similar result with a positive expression correlation level for genes SALL4 and ABCA3 was found in the HI (rs=0.783, p=0.004), while there was no significant correlation between the expression levels of both genes in all myeloid leukemia groups (Figure 4).
                        http://static-content.springer.com/image/art%3A10.1186%2F1475-2867-12-42/MediaObjects/12935_2012_370_Fig3_HTML.jpg
                        Figure 3

                        Correlation analysis of the relative BMI- 1 and SALL4 expression levels in healthy individuals (A), AML (B), AML-CR (C), CML (D), CML-CR (E) and CML-BC (F) groups. The data of M2, M3, M3-CR, M2-CR, and M5 groups were not shown.

                        http://static-content.springer.com/image/art%3A10.1186%2F1475-2867-12-42/MediaObjects/12935_2012_370_Fig4_HTML.jpg
                        Figure 4

                        Correlation analysis of the relative SALL4 and ABCA3 expression levels in healthy individuals (A), AML (B), CML (C) and the CML-BC (D) groups.

                        Discussion

                        BMI-1 and SALL4 are stem cell genes that modulate stem cell pluripotency and play a role in leukemogenesis. Dysregulated expression of both genes may have a cooperative effect in leukemogenesis [37]. Patients with RA and RARS who have a higher percentage of BMI-1+ cells showed disease progression to RAEB, suggesting that BMI-1 is a novel molecular marker that predicts the progression and prognosis of MDS [28]. In this study, we analyzed BMI-1 and SALL4 expression in primary AML and CML at diagnosis and those in complete remission.

                        It has been shown that BMI-1 overexpression occurs in a variety of cancers including several types of leukemias and lymphomas [38]. In this study, BMI-1 was found to be overexpressed in AML and chronic phase CML patient groups; and its expression level was lower in patients who achieved complete remission. Similar results were reported by Sawa, M et al. who found that moderate to high BMI-1 expression was detected in AML patients, and the AML-M0 subtype showed higher relative expression of the BMI-1 transcript [39]. In addition, Merkerova, M et al. demonstrated that BMI-1 and its significantly higher BMI-1 transcript level in CML cells seem to play a secondary role in CML transformation [40]. Our results also indicate that a decreased BMI-1 expression level is associated with complete disease remission. Interestingly, the BMI-1 expression level in the CML-BC group appeared to be low in comparison with the de novo CML group, although the difference was not significant. Further investigation is needed using a larger patient cohort to extend our findings. Preliminary results indicate that BMI-1 may have potential as a therapeutic target for myeloid leukemia. It has been reported that BMI-1 depletion by RNA interference leads to reduced U937 cell growth and proliferation and increased apoptosis [41], and an antisense BMI-1 gene can inhibit the growth of K562 cells and upregulate p16 expression in K562 cells [42].

                        Using immunohistochemistry and real-time PCR, SALL4 was demonstrated to be constitutively expressed in human primary acute myeloid leukemia [13]. In this study, we found that SALL4 was overexpressed in different primary AML subtypes, and its expression was lower in the AML-CR patient group. These results are similar to the findings of Jeong, HW et al. who showed that AML patients who responded to treatment had decreasing SALL4 expression throughout the course of treatment, while AML patients with disease relapse or drug resistance had increasing SALL4 expression, which was correlated with disease progression [15]. Interestingly, unlike the SALL4 expression characteristics in AML, the SALL4 expression level in the CML-CP and CML-CR groups was lower. Moreover, the SALL4 expression level in patients with chronic phase CML was significantly lower than that in the CML-CR group. There is no direct evidence demonstrating the SALL4 expression level in CML-CP and comparing the expression feature to healthy individuals; however, Lu and colleagues have found that the SALL4 protein was overexpressed in CML samples in blast crisis but not those in chronic phase by FACS [37]. Our results also demonstrated that SALL4 expression was higher in the CML-BC group in comparison with the CML-CP and CML-CR groups; however, there was no significant difference in comparison with the HI group. Is it possible that SALL4 is preferentially expressed in leukemic blasts? These results are similar to a report by Cui W et al. who demonstrated that only precursor B-cell lymphoblastic leukemias/lymphomas and AML had detectable SALL4 in neoplastic tissues [43]. The different SALL4 expression patterns in AML and CML suggest that these two disease entities may have different biological characteristics and/or mechanisms of leukemogenesis, at least for the association between SALL4 and pathogenesis. However, there are not reports comparing the data of SALL4 expression level in CML-CP to healthy individuals, it is difficult to evaluate the significance of this finding. Recently, research from Zhu et al. showed that hematopoietic transcription factor PU.1 expression was significantly lower in newly diagnosed APL patient samples as compared to normal hematopoietic cells, which may relate to the expression level of PML-RARα, and they found that suppression of PU.1 expression occurred concurrently with PML-RARα expression, the authors suggested that low PU.1 expression in APL patients is required for disease initiation and progression [44]. This finding might provide a direction in farther analysis the correlation of SALL4 with BCR-ABL in the pathogenesis of CML and to address this question.

                        In principle, the BMI-1 and SALL4 gene expression level should be positively correlated in stem cells [9]. Little is known about the expression pattern and differences in the SALL4 and BMI-1 genes in patients with AML and CML. In this study, we analyzed the correlation between the relative expression levels of BMI-1 and SALL4. A positive expression level correlation was found for both genes in HI, AML, chronic phase CML, CML-BC and CML-CR patient groups; however, there was no significant correlation between these genes in patients with AML-CR, leaving their role in this group an open question. These results indicate that a positively correlated expression pattern is a common feature in patients with myeloid leukemia and healthy individuals, and both genes may cooperate during cell proliferation and differentiation.

                        Based on the different expression features of SALL4 in AML and CML, we further analyzed its regulating gene ABCA3, which is a member of the ATP-binding cassette (ABC) family of transport proteins [30, 31]. Unlike the description by Wult, Norwood and Steinbach groups, who showed that ABCA3 is highly expressed in acute meyloid leukemia samples and is associated with unfavorable clinical treatment outcome [24, 33, 45], in the present study, lower expression level of ABCA3 was found not only in AML but also in CML groups, especially in CML-CP and CR groups. Moreover, the expression level of ABCA3 lost the correlation with SALL4 expression in leukemia patients. To determine whether these results relate to favorable clinical outcome, further investigation is needed. Additionally, detection of ABCA2, ABCB2 and ABCC10, which were found overexpressed in childhood AML, may be worthy to build the gene regulation network in proliferation of myeloid leukemia cells.

                        In conclusion, we determined the expression characteristics of the SALL4, ABCA3 and BMI-1 genes in different phases of AML and CML. Further studies will be needed to determine whether BMI-1 and SALL4 are novel therapeutic targets for leukemic stem/initiation cells in primary myeloid leukemia.

                        Methods

                        Samples

                        Twenty-four newly diagnosed and untreated patients with AML, eight cases with AML in complete remission (AML-CR), thirteen newly diagnosed and untreated patients with CML in chronic phase, 13 cases with CML-CR, and 12 cases with CML in blast crisis (CML-BC),were recruited, the details of the samples was listed in Table 1. The diagnoses of all patients were based on cytomorphology, immunohistochemistry, and cytoimmunological and cytogenetic analysis. Peripheral blood mononuclear cells (PBMCs) from 11 healthy individuals (HI) served as controls. Peripheral blood was collected by heparin anticoagulation, and PBMCs were separated using the Ficoll-Hypaque gradient centrifugation method. All procedures were conducted in accordance with the guidelines of the Medical Ethics committees of the health bureau of Guangdong Province, China.
                        Table 1

                        The details of samples used in study

                        Diagnosis

                        Subtype

                        Numbers

                        Age (year)

                        Total

                        Male

                        Female

                        Range

                        Median

                        AML

                         

                        24

                        12

                        12

                        6-69

                        32

                        M2

                        8

                        4

                        4

                        16-61

                        42.5

                        M3

                        8

                        3

                        5

                        24-52

                        30

                        M5

                        8

                        6

                        2

                        6-69

                        30.5

                        AML-CR

                         

                        8

                        4

                        4

                        16-61

                        32

                        M2-CR

                        4

                        3

                        1

                        39-61

                        47

                        M3-CR

                        4

                        1

                        3

                        16-25

                        20

                        CML-CP

                         

                        13

                        11

                        2

                        13-64

                        38

                        CML-BP

                         

                        12

                        6

                        6

                        23-66

                        42.5

                        CML-CR

                         

                        13

                        7

                        6

                        15-55

                        32

                        HI

                         

                        11

                        5

                        6

                        24-57

                        36

                        RNA extraction and cDNA synthesis

                        RNA was extracted using the Trizol kit (Invitrogen, Carlsbad, CA, USA) and then reverse-transcribed into first-strand cDNA using random hexamer primers and the Superscript II reverse transcriptase Kit (Invitrogen) according to the manufacturer’s instructions.

                        Real-time quantitative reverse transcription–polymerase chain reaction (qRT–PCR)

                        The expression levels of BMI-1, SALL4, ABCA3 and the β2-microglobulin (β2-MG) reference gene were determined by SYBR Green I real-time PCR. Briefly, PCR was performed in a 25 μL total volume containing 1 μL of cDNA, 9 μL of 2.5× SYBR Green mix (Tiangen, Beijing, China), and 10 μmol/L primer pairs. After initial denaturation at 95°C for 2 min, 45 cycles consisting of the following procedure were performed using an MJ Research DNA Engine Opticon 2 PCR cycler (BIO-RAD, USA): 15 s at 95°C, 40 s at 64°C for β2M and BMI-1, 60°C for SALL4, and 63°C for ABCA3. The relative amounts of the genes of interest and the β2-MG reference gene were measured in two independent assays. The data are presented as the relative expression of the genes of interest relative to the internal control gene as determined by the 2(−∆∆CT) method [13, 5, 46]. Additionally, the specific amplification of the PCR products was analyzed by melting curve analysis and agarose gel electrophoresis. The primers used for real-time PCR for all gene amplifications were synthesized by Shanghai Biological Engineering Technology Services Co., Ltd. (Table 2). RT–PCR, for the BMI-1, SALL4 and ABCA3 genes, was performed using the same primers described above, and the PCR products were sent to Shanghai Invitrogen Biotechnology Co. for DNA sequence analysis.
                        Table 2

                        Primer sequences used for real-time PCR

                        Primer

                        Sequence

                        Accession No

                        PCR product size

                        SALL4-f

                        5’-TGCAGCAGTTGGTGGAGAAC-3’

                        NM_020436.3

                        68 bp

                        SALL4-r

                        5’-TCGGTGGCAAATGAGACATTC-3’

                        BMI-1-f

                        5’-TAAGCATTGGGCCATAGT-3’

                        NM_005180.8

                        140 bp

                        BMI-1-r

                        5’-ATTCTTTCCGTTGGTTGA-3’

                        ABCA3-f

                        5’-CTCCGAGAAGGACTTTGAGG-3’

                        NM_001089.2

                        144 bp

                        ABCA3-r

                        5’-TCCGTGTGTAACTGAACCGT-3’

                        β2M-f

                        5’-TACACTGAATTCACCCCCAC-3’

                        J00105

                        144 bp

                        β2M-r

                        5’-CATCCAATCCAAATGCGGCA-3’

                        Statistical analyses

                        Differences in mRNA expression between two groups were analyzed using the Mann–Whitney U test. Data are presented as median. Spearman’s rank correlation analysis was used to analyze the SALL4, BMI-1 and ABCA3 mRNA levels in different samples using the SPSS 11.5 statistical software. Differences were considered statistically significant at P < 0.05.

                        Declarations

                        Acknowledgements

                        This work was supported by Grants from National Natural Science Foundation of China (no. 81270604), the Fundamental Research Funds for the Central Universities (No. 21612116) and in part through NIH grant R01HL087948 (Y.M.).

                        Authors’ Affiliations

                        (1)
                        Institute of Hematology, Jinan University
                        (2)
                        Department of Surgery,BST-9, School of Medicine, Stony Brook University
                        (3)
                        Department of Pathology, BST-9, School of Medicine, Stony Brook University
                        (4)
                        Key Laboratory for Regenerative Medicine of Ministry of Education, Jinan University

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                        This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://​creativecommons.​org/​licenses/​by/​2.​0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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