Original Articles
 

By Dr. Doaa Ghannam , Dr. Rabab Zeadah , Dr. Raghda Farag , Dr. Ansaf Yousef
Corresponding Author Dr. Rabab Zeadah
Clinical Pathology, - Egypt
Submitting Author Dr. Rabab Zeadah
Other Authors Dr. Doaa Ghannam
Clinical Pathology, - Egypt

Dr. Raghda Farag
Tropical Medicine, - Egypt

Dr. Ansaf Yousef
Internal Medicine, - Egypt

HAEMATOLOGY

BMI,CML,Prognosis

Ghannam D, Zeadah R, Farag R, Yousef A. Prognostic Significance of BMI1 Gene in Chronic Myeloid Leukemia Patients. WebmedCentral HAEMATOLOGY 2012;3(12):WMC003893
doi: 10.9754/journal.wmc.2012.003893

This is an open-access article distributed under the terms of the Creative Commons Attribution License(CC-BY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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Submitted on: 16 Dec 2012 08:21:31 AM GMT
Published on: 17 Dec 2012 05:03:12 PM GMT

Abstract


BMI1 is a polycomb group (PcG) proteins which maintain self-renewal of stem cells, and is overexpressed in leukemia. This study was aimed to investigate the expression of BMI1 chronic myeloid leukemia (CML) and its clinical significance. Expression levels of BMI1 in 45 CML patients and 10 healthy controls were measured by real time quantitative polymerase chain reaction (RQ-PCR). The results showed that the expression of BMI1 was significantly higher in advanced phase than in chronic phase (p <0.05) and healthy controls (p <0.05). The 3-year survival rate was significantly lower in advance patients than in chronic phase CML patients (95% vs. 50%, p = 0.005). Interstingly, overall survival was longer in low BMI1 expression patients than in high BMI1 expression patients (p = 0.012). We conclude that detecting BMI1 is helpful for the diagnosis and prognosis by predicting the overall survival and monitoring of patients with CML.

Introduction


Chronic myeloid leukemia is characterized by three clinical phases: the chronic phase (CP) is followed by an accelerated phase and then by blastic crises.The molecular analysis clearly showed that BCR-ABL chimereic protein, which is generated by a t(9;22)(q34;q11) chromosomal translocation, is involved in malignant transformation of hemopoitic stem cells (1). The B-cell-specifics moloney murine Leukemia virus integration site-1 (BMI1 gene) is an important member in the family of polycomb group genes, and it directly participates in the growth and regulation of cell proliferation (2). The polycomb group gene BMI1 fulfills essential roles in both normal and leukemic stem cells (3) and several published studies have deepened our knowledge of the biology of the PcG in health and disease (4). Many studies have shown that BMI1 expression is frequently upregulated in various types of human cancers, including lung cancer, ovarian cancer, acute myeloid leukemia, nasopharyngeal carcinoma, breast cancer, and neuroblastoma, which indicates that BMI1 might play important roles in cancer initiation and progression (5-10), but the precise mechanism by which it promotes cell growth, have yet to be elucidated (11,12). Mouse models of BMI1 deficiency have also established the importance of BMI1 in the self renewal of neural and hematopoietic stem cells (13,14). In concordance with its role in stem cells, BMI1 has been proposed to maintain cancer stem cell populations in leukemia (15), as well as in breast (16) and lung cancers (17). It is established that CML exhibits marked heterogeneity in prognosis (18 )which is reflected even in response to modern therapies (19). As previously established in CML and other malignancies (20-24), BMI1, acting in cooperation with other oncogenes, can induce neoplastic transformation (25,26) and its over expression contributes to disease aggressiveness. Coexpression of BMI1 and other proteins from the PcG, such as EZH2, confers a higher degree of malignancy (27). BMI1 overexpression was described in several types of cancer, including hematologic neoplasms (28-30). This study was designed to investigate BMI1 expression in CML patients and its impact on patients with CML to discover its prognostic significance and wether it might serve as a biomarker to predict disease aggressiveness and progression from CP to more advanced phases.

Material and Methods


This study was carried out on 45 diagnosed chronic myeloid leukemia patients. They were recruited on the basis of standard clinical and hematological criteria for diagnosis of chronic myeloid leukemia. Subjects of this study were selected from the inpatient and outpatient clinics of (OCMU) Oncology Center of Mansoura University. All patients gave informed consent to morphological and molecular examination. Thirty one patients were in the chronic phase of CML and 14 cases were with advanced phase (accelerated and blast phase). They were 24 males and 21 females and their median age were 54 years old. Peripheral-blood mononuclear cells (PBMCs) from 10 healthy donors were also obtained by consent  were used as controls.    

All patients underwent a complete physical examination. Treatment was started at dose of 400 mg/day. Before starting imatinib mesylate, complete blood count, serum creatinine and electrolytes were checked. While on therapy, complete blood counts were monitored weekly for the first month and then fortnightly thereafter till patient achieved hematological response and then monthly. Treatment was held if absolute neutrophils count dropped below 500/cumm and platelets less than 50,000/cumm. On recovery, therapy was resumed at the full initial dose. Hematological response was evaluated after 8 weeks of commencement of therapy. Special investigations for detection of BMI1 was done by gene expression quantification of BMI1 gene in patients wit CML by RQ-PCR.

Gene Expression Quantification assay of BMI1 using quantitative real time PCR (Applied Biosystem, USA):

Total RNA extraction

Between 2 and 3 ml of EDTA-anticoagulated peripheral blood was collected and Total RNA was extracted with QIA amp RNA blood mini kits and RNA integrity was checked by gel electrophoresis and assuring its purity by the measurement of RNA concentration which was accepted if absorbance readings is more than 0.15.               

cDNA synthesis:

A reaction mixture of 50 micron in each tube containing 25 micron of RNAsample, 5 micron of RT buffer, 4 micron of dNTP’s Mix, 5 micron of random hexamers, 2.5 micron of RT enzyme and 8.5 micron of water (free nuclease). These tubes were placed in the thermal cycle of gene Amp 7700 with program which was 10 min at 25 ºC, 1 hr at 42 ºC and 5 min at 95°C

cDNA  amplification

AmpliTaq Gold DNA polymerase amplifies cDNA using the TaqMan pre-Developed Assay Reagents (PDARs) and the TaqMan universal PCR master mix (Applied Biosystem, USA). The TaqMan´PDARs, composed of two primers and TaqMan fluorescent probe   designed for the detection and quantitation of specific genetic sequence of BMI1. The real time PCR assay was performed by using a mixture of 50 micron in each tube containing 25 µl Universal Master Mix, 1 µl Forward Primer, 1 µl Reverse Primer, 0.5 µl Probe, 2.5 µl GAPDH (Primer – Probe Mix), 10 µl Water and 10 µl Sample. These were placed placed in the thermal cycle of gene Amp 7000 with program which was 2 min at 50ºC, 10 min at 95ºC, 15 sec at 95ºC and 1 min at 60ºC. GAPDH (housekeeping gene) expression was used as the endogenous cDNA quality control. Bmi1 forward primers 5'-GTATTCCCTCCACCTCTTCTTG-3', Bmi1 reverse primers 5'-TGCTGATGACCCATTTACTGAT-3'. The sequence of the primers and probe of the GAPDH control are:   GAPDH forward Primer: 5’- GAAGGTGAAGGTCGGAGTC-3’, GAPDH reverse primer: 5’-GAAGATGGTGATGGGATTTC-3’. The real time PCR assay was performed by utilizing the Gene Amp 7700 Sequence Detection System  using a mixture of 50 micron in each tube containing 25 µl Universal Master Mix, 1 µl Forward Primer, 1 µl Reverse Primer, 0.5 µl Probe, 2.5 µl GAPDH (Primer – Probe Mix), 10 µl Water and 10 µl Sample. These were placed in the thermal cycle of gene Amp 7700 with program which was 2 min at 50ºC, 10 min at 95ºC, 15 sec at 95ºC and 1 min at 60ºC. The comparative expression levels were determined as a ratio between the BMI1 and the housekeeping gene (GAPDH) to correct for variation in the amounts of mRNA.

Statistical analysis


Patient data were tabulated and processed using SPSS (Statistical Package for Social Science) for Windows and Excel program. Using fisher's exact test for parametric data and Mann-Whitney U test for non parametric data. Kaplan Meier survival curves test for survival analysis. A log-rank test was used to compare the differences among survival curves, where p < 0.05 had statistical significance.

Results


BMI1 expression level was different among patients with chronic phase and advance phase (accelerated and blast phases). In 45 patients with diagnosed CML either in chronic or advance phase, BMI1 transcript levels were assessed by quantitative real time PCR. BMI1 expression in CML patients at diagnosis in CP was significantly lower compared with patients in more advanced disease stage. Of note, BMI1 expression from healthy donors was significantly lower Compared with CML patients either in chronic or advanced phases (p <0.05) (Table 1).                & nbsp;    

Clinical follow up was made in 45 patients. The Comparative expression levels were determined as a ratio between the BMI1 and GAPDH to correct for variation in the amounts of mRNA. The BMI1 expression level was unaffected by age or other pretreatment factors. Based on the detection of BMI1 median expression level (2.17), patients were divided into the low-expression group (BMI1 expression level < 2.17) and the high-expression group (BMI1 expression level > 2.17) (Table 2).

The 3 year survival rate was different among CML patients. Patients displaying a low BMI1 expression level at diagnosis had significantly longer survival than patients in advanced phase (P =0.012) (figure 1).

There was significant statistical difference in the overall survival between groups according to the phase of disease. It was 95% for chronic phase versus 50% for advanced phase (P = 0.005) (figure 2).                & nbsp;                 ;                &nb sp;                & nbsp;         

Factors, such as HB, WBCs, peripheral blood blast count, esinophil count, basophil count, BMI1 expression, which could possibly affect a patient’s prognosis, were introduced into multivariate analysis. The results of a multi-factorial prognostic analysis showed that high BMI1 expression (R= 0.751, P= 0.000), was a highly significant risk factor for influencing prognostic outcome of patient with CML (Table 3). No apparent clinical characteristics were significantly different for the patients with high BMI1 expression when compared with those of low expression BMI1 expression level (Table 3).

Discussion


Although tyrosine kinase inhibitors (TKIs) are now the frontline treatment for CML, a significant proportion of CP patients does not achieve optimal responses and require alternative therapy (31). Furthermore, even patients who obtain a good response to TKIs remain at risk of drug resistance, and disease progression to advanced phase of CML as leukemic stem cells are not adequately targeted by TKIs (32, 33).

Several lines of evidence imply that BMI1 plays an important role in the regulation of cell proliferation and senescence and is required for maintenance of adult hematopoietic and neural stem cells (34-37). Induction of BMI1 would change the composition of the PcG complex to favor proliferation over cell-cycle arrest, because the relative amounts of BMI1 in the complex determine its biochemical and biologic functions (38).

Many reports confirmed that BMI1 was expressed in many kinds of human tumors, such as lymphoma, leukemia, myelodysplastic syndrome (MDS), breast cancer, etc (39,40). BMI1, an essential gene for the self-renewal of normal as well as cancer stem cells (41-43), plays an important role in CML pathophysiology and prognosis in the non-transplantation setting (44). As previously established in CML and other malignancies (45,46), BMI1, acting in cooperation with other oncogenes, can induce neoplastic transformation (47), and its overexpression contributes to disease aggressiveness. BMI1 expression level was significantly higher in the advanced phase patients than in the chronic phase and was lower in healthy subjects than in CML patients, which indicates that BMI1 has a diagnostic value among CML patients. Our data were in agreement with the findings of other publication. They Interestingly found that the level of BMI1 expression was significantly higher in CP than in controls and was further increased during the course of the disease progression and usefulness of BMI1 expression as a molecular marker for monitoring patients with CML(31,44).

The present study indicates that BMI1 gene expression affect the outcome in CML patients. BMI1 gene expression appeared to be associated with significant difference for overall survival in CML patients. Patients displaying a low BMI1 expression level at diagnosis had significantly longer survival than other patients. This finding has been confirmed by others who showed significantly shorter survival in patients who had high BMI1expression (44).

Despite their great success, it is still unclear whether tyrosine kinase inhibitors can cure CML. Therefore, the prospective screening for BMI1 expression in combination with other molecular markers (48), can help refine CML disease staging and prognosis toward optimizing therapeutic interventions, including perhaps BMI1-targeted inhibitors.

So, we believe that further investigations on larger series of CML patients, including clinical follow-up and other molecular markers, are needed to confirm whether BMI1 can be used for accurate prediction of its prognostic role in CML patients and its potential chemosensitivity to current treatment needs further study.

References


1. Bhattacharyya J, Mihara K, Yasunaga S, Tanaka H, Hoshi M, Takihara Y. BMI-1 expression is enhanced through transcriptional and posttranscriptional regulation during the progression of chronic myeloid leukemia. Ann Hematol. 2009; 88(4):333–40.
2. Qin ZK, Yang JA, Zeng MS, Zhou FJ, Han H, Liu ZW, Yu SL, Li YH, Chen ZF. Expression and clinical significance of Bmi-1 protein in bladder cancer. Chinese Journal of Cancer 2008, 27:12, 574-577
3. Schuringa, Jan J; Vellenga, Edo, Role of the polycomb group gene BMI1 in normal and leukemic hematopoietic stem and progenitor cells, Current Opinion in Hematology. 2010, 17(4):294–299
4. Perez DM,  Piris MA, and Beato MS, Polycomb proteins in hematologic malignancies, Blood 2010, 116(25):5465-5475
5. Vonlanthen S, Heighway J, Altermatt HJ, Gugger M, Kappeler A, Borner MM and van Lohuizen M. The bmi-1 oncoprotein is differentiallyexpressed in non-small cell lung cancer and correlates with INK4A-ARF locus expression. Br J Cancer 2001, 84: 1372–1376.
6. Zhang F, Sui L and Xin T. Correlations of BMI-1 expression and telomerase activity in ovarian cancer tissues. Exp Oncol 2008, 30: 70–74.
7. Sawa M, Yamamoto K, Yokozawa T, Kiyoi H, Hishida A, Kajiguchi T and Seto M. BMI-1 is highly expressed in M0-subtype acute myeloid leukemia. Int J Hematol 2005, 82: 42–47.
8. Song LB, Zeng MS, Liao WT, Zhang L, Mo HY, Liu WL and Shao JY. Bmi-1 is a novel molecular marker of nasopharyngeal carcinoma progression and immortalizes primary human nasopharyngeal epithelial cells. Cancer Res 2006, 66: 6225–6232.
9. Dimri GP, Martinez JL, Jacobs JJ, Keblusek P, Itahana K, Van Lohuizen M and Campisi J. The Bmi-1 oncogene induces telomerase activity and immortalizes human mammary epithelial cells.Cancer Res 2002, 62: 4736–4745.
10. Cui H, Hu B, Li T, Ma J, Alam G, Gunning WT and Ding HF. Bmi-1 is essential for the tumorigenicity of neuroblastoma cells. Am J Pathol 2007, 170: 1370–1378.
11. Bruggeman, S.W.; Hulsman, D.; Tanger, E.; Buckle, T.; Blom, M.; Zevenhoven, J.; van Tellingen, O.; van Lohuizen, M. Bmi1 controls tumor development in an Ink4a/Arf-independent manner in a mouse model for glioma. Cancer Cell 2007, 12, 328-341.
12. Leung C, Lingbeek M, Shakhova O, et al. Bmi1 is essential for cerebellar development and is overexpressed in human medulloblastomas. Nature 2004;428:337–41.
13. Molofsky AV, Pardal R, Iwashita T, Park IK, Clarke MF, Morrison SJ. Bmi-1 dependence distinguishes neural stem cell self-renewal from progenitor proliferation. Nature 2003;425:962–7.
14. Lessard J, Sauvageau G. Bmi-1 determines the proliferative capacity of normal and leukaemic stem cells. Nature 2003;423:255–60.
15. Liu S, Dontu G, Mantle ID, et al. Hedgehog signaling and Bmi-1 regulate self-renewal of normal and malignant human mammary stem cells. Cancer Res 2006;66:6063–71.
16. Richardson PG, Mitsiades C, Schlossman R, Munshi N, Anderson K. New drugs for myeloma. Oncologist 2007;12:664–89
17. Dovey JS, Zacharek SJ, Kim CF, Lees JA. Bmi1 is critical for lung tumorigenesis and bronchioalveolar stem cell expansion. Proc Natl Acad Sci U S A 2008;105:11857–62.
18. Hughes TP, Kaeda J, Branford S. Frequency of major molecular responses to imatinib or interferon alfa plus cytarabine in newly diagnosed chronic myeloid leukemia. N Engl J Med. 2003;349:1423-1432.
19. O’Brien SG, Guilhot F, Larson RA, et al. Imatinib compared with interferon and low-dose cytarabine for newly diagnosed chronic-phase chronic myeloid leukemia. N Engl J Med. 2003;348:994-1004
20. Mohty M, Yong AS, Szydlo RM, Apperley JF, Melo JV. The polycomb group BMI1 gene is a molecular marker for predicting prognosis of chronic myeloid leukemia. Blood. 2007;110:380-383.
21. Bea S, Tort F, Pinyol M, et al. BMI-1 gene amplification and overexpression in hematological malignancies occur mainly in mantle cell lymphomas. Cancer Res. 2001;61:2409-2412.
22. Mihara K, Chowdhury M, Nakaju N, et al. Bmi-1 is useful as a novel molecular marker for predicting progression of myelodysplastic syndrome and patient prognosis. Blood. 2006;107:305-308.
23. Kim JH, Yoon SY, Kim CN, et al. The Bmi-1 oncoprotein is overexpressed in human colorectal cancer and correlates with the reduced p16INK4a/p14ARF proteins. Cancer Lett. 2004; 203:217-224.
24. Chowdhury M, Mihara K, Yasunaga S, Ohtaki M, Takihara Y, Kimura A. Expression of Polycombgroup(PcG) protein BMI-1 predicts prognosis in patients with acute myeloid leukemia. Leukemia. 2007;21:1116-1122.
25. van Lohuizen M, Verbeek S, Scheijen B, Wientjens E, van der Gulden H, Berns A. Identification of cooperating oncogenes in E mu-myc transgenic mice by provirus tagging. Cell. 1991; 65:737-752.
26. Jacobs JJ, Kieboom K, Marino S, DePinho RA, van Lohuizen M. The oncogene and Polycombgroup gene bmi-1 regulates cell proliferation and senescence through the ink4a locus. Nature. 1999;397:164-168.
27. Cao R, Tsukada Y, Zhang Y. Role of Bmi-1 and Ring1A in H2A ubiquitylation and Hox gene silencing. Mol Cell. 2005;20:845-854.
28. Kim JH, Yoon SY, Kim CN, et al. The Bmi-1 oncoprotein is overexpressed in human colorectal cancer and correlates with the reduced p16INK4a/p14ARF proteins. Cancer Lett. 2004; 203:217-224.
29. Vonlanthen S, Heighway J, Altermatt HJ, et al. The bmi-1 oncoprotein is differentially expressed in non-small cell lung cancer and correlates with INK4A-ARF locus expression. Br J Cancer. 2001; 84:1372-1376.
30. Mihara K, Chowdhury M, Nakaju N, et al. Bmi-1 is useful as a novel molecular marker for predicting progression of myelodysplastic syndrome and patient prognosis. Blood. 2006;107:305-308.
31. Marin D, Milojkovic D, Olavarria E, Khorashad JS, de LH, Reid AG, et al. European LeukemiaNet criteria for failure or sub-optimal response reliably identify patients with CML in early chronic phase treated with imatinib whose eventual outcome is poor. Blood. 2008 Dec 1; 112(12):4437– 44.
32. Jiang X, Zhao Y, Smith C, Gasparetto M, Turhan A, Eaves A, et al. Chronic myeloid leukemia stem cells possess multiple unique features of resistance to BCR-ABL targeted therapies. Leukemia. 2007 May; 21(5):926–35.
33. Konig H, Holtz M, Modi H, Manley P, Holyoake TL, Forman SJ, et al. Enhanced BCR-ABL kinase inhibition does not result in increased inhibition of downstream signaling pathways or increased growth suppression in CML progenitors. Leukemia. 2008 Apr; 22(4):748–55.
34. Jacobs JJ, Kieboom K, Marino S, DePinho RA, van Lohuizen M. The oncogene and Polycomb-group gene bmi-1 regulates cell proliferation and senescence through the ink4a locus. Nature 1999; 397: 164-168
35. Park IK, Qian D, Kiel M, Becker MW, Pihalja M, Weissman IL, Morrison SJ, Clarke MF. Bmi-1 is required for maintenance of adult self-renewing haematopoietic stem cells. Nature 2003; 423: 302-305
36. Molofsky AV, Pardal R, Iwashita T, Park IK, Clarke MF, Morrison SJ. Bmi-1 dependence distinguishes neural stem cell self-renewal from progenitor proliferation. Nature 2003; 425: 962-967
37. Molofsky AV, He S, Bydon M, Morrison SJ, Pardal R. Bmi-1 promotes neural stem cell self-renewal and neural development but not mouse growth and survival by repressing the p16Ink4a and p19Arf senescence pathway , Genes Dev 2005; 19: 1432-1437
38. Dahiya A, Wong S, Gonzalo S, Gavin M, Dean DC. Linking the Rb and polycomb pathways. Mol Cell. 2001;8:557-569.
39. van Kemenade FJ, Raaphorst FM, Blokzijl T, et al. Coexpression of BMI-1 and EZH2 polycomb-group proteins is associated with cycling cells and degree of malignancy in B-cell non-Hodgkin lymphoma. Blood, 2001,97(9):3896-3901.
40. Mihara K, Chowdhury M, Nakaju N, et al. Bmi-1 is useful as a novel molecular marker for predicting progression of myelodysplastic syndrome and patient prognosis. Blood, 2006,107(1):305-308.
41. Lessard J, Sauvageau G. Bmi-1 determines the proliferative capacity of normal and leukaemic stem cells. Nature. 2003;423:255-260.
42. Park IK, Qian D, Kiel M, et al. Bmi-1 is required for maintenance of adult self-renewing haematopoietic stem cells. Nature. 2003;423:302-305.
43. Rizo A, Dontje B, Vellenga E, de Haan G, Schuringa JJ. Long-term maintenance of human hematopoietic stem/progenitor cells by expression of BMI1. Blood. 2007;111:2621-2630.
44. Mohty M, Yong AS, Szydlo RM, Apperley JF, Melo JV. The polycomb group BMI-1 gene is a molecular marker for predicting prognosis of chronic myeloid leukemia. Blood. 2007 Jul 1; 110(1):380–3.
45. Bea S, Tort F, Pinyol M, et al. BMI-1 gene amplification and overexpression in hematological malignancies occur mainly in mantle cell lymphomas. Cancer Res. 2001;61:2409-2412.
46. Mihara K, Chowdhury M, Nakaju N, et al. Bmi-1 is useful as a novel molecular marker for predicting progression of myelodysplastic syndrome and patient prognosis. Blood. 2006;107:305-308.
47. van Lohuizen M, Verbeek S, Scheijen B,Wientjens E, van der Gulden H, Berns A. Identification of cooperating oncogenes in E mu-myc transgenic mice by provirus tagging. Cell. 1991; 65:737-752.
48. Radich JP, Dai H, Mao M, et al. Gene expression changes associated with progression and response in chronic myeloid leukemia. Proc Natl Acad Sci U S A. 2006;103:2794-2799

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