Literature DB >> 27168727

BMI1: A Biomarker of Hematologic Malignancies.

Anagh A Sahasrabuddhe1.   

Abstract

BMI1 oncogene is a catalytic member of epigenetic repressor polycomb group proteins. It plays a critical role in the regulation of gene expression pattern and consequently several cellular processes during development, including cell cycle progression, senescence, aging, apoptosis, angiogenesis, and importantly self-renewal of adult stem cells of several lineages. Preponderance of evidences indicates that deregulated expression of PcG protein BMI1 is associated with several human malignancies, cancer stem cell maintenance, and propagation. Importantly, overexpression of BMI1 correlates with therapy failure in cancer patients and tumor relapse. This review discusses the diverse mode of BMI1 regulation at transcriptional, posttranscriptional, and posttranslational levels as well as at various critical signaling pathways regulated by BMI1 activity. Furthermore, this review highlights the role of BMI1 as a biomarker and therapeutic target for several subtypes of hematologic malignancies and the importance to target this biomarker for therapeutic applications.

Entities:  

Keywords:  BMI1; biomarker; hematologic malignancy

Year:  2016        PMID: 27168727      PMCID: PMC4859448          DOI: 10.4137/BIC.S33376

Source DB:  PubMed          Journal:  Biomark Cancer        ISSN: 1179-299X


Introduction

Embryonic development requires cell fate decision governed by regulated gene expression pattern.1 These gene expression patterns are largely regulated by reprogrammable epigenetic regulatory mechanisms that control the local chromatin conformation.2 The repeated specific pattern of gene expression established by epigenetic machinery during multiple rounds of cell division establishes cellular identity. Epigenetic regulation is significantly achieved by modulating nucleosome dynamics through histone tail modifications. The major molecular machines that dictate gene expression pattern through histone tail modification and chromatin modulations are global epigenetic modifiers, such as trithorax group (TrxG) and polycomb group (PcG) proteins, which trigger transcriptional activation and repression of target gene, respectively.3 The counteracting activities of TrxG and PcG proteins regulate chromatin dynamics and gene expression cascade to retain cellular memory throughout the life of the organism. An imbalance in this dynamics has been associated with compromised gene expression pattern as well as with an increased risk of cancer.3–5 In this regard, several studies corroborate the dysregulation of PcG proteins as a diagnostic and prognostic marker of several types of cancer, including hematologic malignancies.6 PcG proteins form primarily two large multisubunit polycomb-repressive complexes (PRCs), namely, PRC1 and PRC2. These complexes in association with other epigenetic markers establish target gene repression through histone tail posttranslational modifications.7–9 For each complex, there are defined core subunits responsible for the bonafide activity of the complex and some variable subunits that plausibly dictate the identity of the target gene in a lineage- and context-dependent manner.10–12 Generally, PRC2 initiates histone tail modification by mono-, di-, and trimethylation of histone 3 at lysine 27 (H3K27me) residue with the help of its catalytic subunit enhancer of zeste homolog 2 (EZH2) methyl transferase enzyme, and this modification promotes the recruitment of PRC1 through its chromodomain-binding proteins, which then recognizes the H3K27me marker established by PRC2.7,13 PRC1 is composed of RING1A/B, PH1, PH2, CBX2, 4, 6, 7, and 8, and many other variable subunits. This composition varies depending on the lineage of cells, and how the diverse composition impacts target gene identification for a specific cell types is a pending conundrum that needs further research.14,15 PRC1 catalyzes monoubiquitination of histone 2A at lysine 119 residue (H2AK119ub) to maintain target gene repression with the help of its catalytic subunit RING1A/B, which is an E3 ligase. RING1A/B protein activity is significantly enhanced by its association with another PRC1 component BMI1 (B-cell specific moloney murine leukemia virus integration region 1). BMI1 was essentially identified as a cMyc proto-oncogene, which cooperates with cMyc in oncogenesis of murine B-cell lymphoma.16 BMI1-directed PRC1 activity is counterbalanced by selective H2AK119 deubiquitination mediated by ubiquitin-specific protease (USP16).17 Emerging studies establish that BMI1 has important function as a diagnostic and prognostic biomarker of several lineages of cancer, including hematologic malignancies.18–22 This review summarizes the role of BMI1 as a biomarker of hematologic malignancies, the regulatory mechanism that controls BMI1 expression and cellular pathways that are perturbed by aberrant expression and activity of BMI1 leading to oncogenic transformations.

BMI1 Gene and Protein Structure

The human Bmi1 gene, composed of 10 exons and 9 introns, is localized on the short arm of chromosome 10 (10p11.23) and encodes 37 kDa protein composed of 326 amino acids.23 BMI1 protein structure is highly evolutionarily conserved and possesses significant homology with another PcG protein Mel 18, a transcriptional repressor of Bmi1 gene.24,25 BMI1 and Mel18 share 65% amino acid identify. Both proteins possess similar arrangement of protein domains, including N-terminal RING finger domain and C-terminal helix-turn-helix and prolinerich domains. Furthermore, proteomic analysis of interactome composition of these two proteins suggests that they interact with a similar repertoire of proteins.25 However, in PRC1, they exhibit strikingly opposite function, including negative regulation of BMI1 by Mel18 and consequently promoting senescent phenotype.26,27 BMI1 protein has several defined domains and motifs, including N-terminal RING finger domain (RF), a central helix-turn-helix (HTH) domain, a carboxyl terminal PEST-like domain, and two nuclear localization signals KRRR and KRMK.28 Figure 1 elucidates Bmi1 gene and BMI1 protein structure. The RF domain of BMI1 is required for its association with RING1B E3 ligase, a catalytic component of PRC1, to activate PRC1 activity.29 The RF and HTH domains are important for BMI1 localization at DNA strand break and crucial for the recruitment of DNA damage repair machinery, prevention of cellular senescence, and cancer cell survival.30–32 The C-terminal PEST domain is rich in proline (P), glutamic acid (E), serine (S), and threonine (T) and is critical for BMI1 protein turnover. We have previously demonstrated that deletion of PEST domain prevents BMI1 degradation and promotes its oncogenic potential, including epithelial-to-mesenchymal transition (EMT).28
Figure 1

Gene and protein structure of BMI1. (A) Bmi1 gene structure composed of 10 exon and 9 introns. (B) Schematic elucidation of different domains of BMI1 protein critical for its function starting from N terminus RING domain required for its interaction with RING1A/B protein, Nuclear localization signal 1 (NLS1), Helix-turn-helix (HTH) domain required for interaction with E4F1, Nuclear localization signal 2 (NLS2), and finally, Proline (P), Glutamic acid (E)-, Serine (S)- and Threonine (T)-rich domain (PEST), which is required for its regulated protein turnover.

BMI1 Expression and Regulation

BMI1 is expressed ubiquitously in almost all types of tissues. However, its expression levels are high in brain, lungs, thymus, kidney, gonads, salivary glands, placenta, blood, bone marrow, and stem cells of several lineages.33 It is overexpressed in several cancer subtypes and serves as a biomarker for these cancer types. BMI1 plays a critical role in cellular physiology and hence the transcript and protein levels of BMI1 are tightly regulated in diverse cell types. For the past several years, many investigators are trying to understand the regulation of BMI1 at transcriptional, posttranscriptional, and posttranslational levels. However, the comprehensive knowledge on BMI1 regulation by different mechanisms is still scarce.

Transcriptional regulation

Bmi1 gene expression is regulated by the number of transcription factors in a context-and lineage-dependent manner. BMI1 expression is positively regulated by transcription factor Sp1, Twist1, FoxM1, ZEB1, E2F1, SALL4, Myc-N, c-Myc, and HDACs, whereas its expression is negatively regulated by Mel18, Nanog, and KLF4.26,27,34–43 E2F-1, Myc-N, and c-Myc trans-activates BMI1 by binding to its promoter and thus upregulating its expression in neuroblastoma cells.34,38 Similarly, SALL4 and Sp1 transcription factors bind to a specific region of the BMI1 promoter and upregulate its expression in normal and malignant cells of leukemic stem and nasopharyngeal origin, respectively.39,40 We have shown that HDAC inhibitor downregulates BMI1 expression in breast epithelial and breast cancer cells, suggesting that HDACs positively regulate BMI1 expression.37 Furthermore, forkhead box transcription factor, FOXM1, positively regulates BMI1 expression in neuroblastoma cells.36 Twist1 and Zeb1 are EMT markers and positively regulate BMI1 expression to maintain stemness of the cell and EMT in head and neck cancer. Twist 1 directly regulates BMI1 expression by regulating its transcription, whereas ZEB1 indirectly regulates BMI1 expression by repressing microRNA (miRNA) 200, an inhibitor of BMI1.21,35,42,44 Furthermore, BMI1 is also repressed by Nanog in embryonic stem cells.43

Posttranscriptional regulation of mRNA

Gene expression is regulated at different levels, including regulation of mRNA activity after synthesis. This regulation may operate at the level of RNA processing for maturation, its transport to correct subcellular localization, its stability and finally translation of its coded information in to protein. These regulations occur through interaction of cellular factors with mRNA sequence elements located within 5′- and 3′-untranslated regions of unprocessed mRNA, including secondary structures, internal ribosome entry sites, and poly-A tail. The posttranscriptional regulations are also achieved through the activity of target-specific microRNA expression. The miRNAs are short 21–23 nucleotide RNA sequences that control the level of expression of target gene through controlling transcription as well as mRNA stability. Several miRNAs are implicated in the regulation of BMI1 expression. Deregulation of BMI1 associated miRNA can be exploited as a biomarker of cancer progression (Table 1).
Table 1

The microRNAs (miRNAs) that regulate BMI1 expression and may serve as biomarker for associated cancer.

S. NO.CANCER SUBTYPEmiRNA INVOLVED AND ITS MODE OF BMI1 REGULATIONREF.
1Non-Small Cell Lung Cancer (NSCLC)miR-452Inhibit metastasis by down regulating BMI1110
miR-203Downregulate BMI1 expression and inhibit NSCLC cell proliferation111
miR-487bSuppress BMI1 and other important cellular target to prevent primary lung cancer112
2Brain cancermiR-130bEnhances BMI1 expression and stem cell-like properties in glioblastoma113
miR-128aBrain-specific miRNA that suppress BMI1 expression to prevent glioblastoma progression114117
miR-218Inhibits glioma progression and glioma stem cell self-renewal by suppressing BMI1118
miR-128Overexpression of miR-128 could suppress pituitary GH3 tumor growth via downregulating BMI1 expression119
miR-128aInhibit medulloblastoma cancer growth by inhibiting BMI1 expression120
3Head and Neck Squamous Cell Carcinoma (HNSCC)miR-494Inhibit BMI1 expression and reduce cancer stemness121
miR-200cDownregulate BMI1 to inhibit HNSCC progression122
4Breast cancermiR-495Inhibit BMI1 expression and suppress breast cancer cell proliferation123
miR-31BMI1 and miR-31 represses each other in a cross negative feedback loop124
miR-200c/141 clusterDownregulate BMI1 to trigger senescence125
miR-22It suppresses miR-200 precursor, thereby enhances BMI1 expression126
miRNA-200c and 203Repress BMI1 expression to prevent cancer progression and cancer stem cell stem cell self-renewal127129
miR-34aDownregulate Bcl-2 and BMI1 to prevent breast cancer130
miR-128-2Repress BMI1 to inhibit mammary epithelial cell transformation131,132
miR-200 family, miR-15/16, miR-103, miR-107, miR-145, miR-335 and miR-128bDownregulation of BMI1 to inhibit breast cancer progression133
5Colorectal cancermiR-215It represses BMI1 expression and reported to be down regulated in colorectal cancer134
miR-218Inhibit colon cancer by downregulating BMI1135
6Gallbladder cancermiR-218Long non-coding RNA CCAT1 promotes gallbladder cancer via negative regulation of miR-218-5p. miR-218-5p downregulate BMI1 expression136
miR-200Repress EMT by downregulating BMI1 expression in bladder cancer137
7MelanomamiR-203Inhibit melanoma metastasis by downregulating BMI1138
miR-218Downregulate BMI1 to inhibit melanoma progression139
miR-200cInhibit melanoma progression through BMI1 downregulation140
8Hepatocellular carcinomamiR-218Downregulate BMI1 to inhibit liver cancer progression141,142
9Nasopharyngeal carcinomamiR-320aDownregulate BMI1 and thus play tumor suppressor role in NPC143
10Pancreatic ductual adenocarcinomamiR-183Downregulate BMI1 to inhibit PDAC progression144
miR-135aDownregulate BMI1 to inhibit PDAC progression145
miR-15aInhibit progression and metastasis of PDAC by down-regulating BMI1 expression146
11Prostate cancermiR-128Suppresses prostate cancer by inhibiting BMI1 mediated cancer stem cell properties147
miR-200bSuppresses prostate cancer by regulating BMI1148
12Thymic lymphomamiR-200cDownregulation of BMI1 by miR-200c prevent radiation induced thymic lymphoma42,149
13Gastric cancermiR-30eLoss of miR30e* trigger increased BMI1 expression and promote gastric cancer150
14Esophageal cancermiR-203Inhibit progression and metastasis of esophageal cancer stem cell by suppressing BMI1151
15LymphomamiR-16Negatively regulate BMI1 and downregulated in MCL side population99
16Ovarian cancermiR-15a and miR-16Downregulate BMI1 expression to inhibit ovarian cancer progression152
17Renal cancermiR-708Suppresses BMI1 expression to prevent Renal cancer progression153
18Endometrial cancermiR-194Downregulates BMI1 expression to inhibit endometrial cancer62
19Tongue cancermiR-200b and miR-15bTarget BMI1 repression and their loss induce EMT and chemoresistance in tongue cancer cells154

Posttranslational regulation of BMI1 protein

Posttranslational regulations can be of two types: (1) reversible regulation and (2) irreversible regulations. The reversible regulation can be achieved through posttranslational modification, whereas irreversible regulation is achieved through protein degradation majorly operated by ubiquitin proteasome system (UPS). The reversible protein modifications such as acetylation, phosphorylation, sumoylation, or ubiquitination can either alter the protein function or often direct protein to irreversible type of regulation through UPS-mediated degradation of protein. Posttranslational regulation of BMI1 is not significantly characterized. BMI1 is reported to be modified by several factors in context- and lineage-dependent manner. CBX4 triggers BMI1 sumoylation at lysine 88 during DNA damage to trigger its recruitment at damaged site.45 BMI1 is phosphorylated by several kinases in a context-dependent manner for different physiological consequences. Phosphorylation of BMI1 by 3pk (MAPKAP kinase 3), an intermediate member of MAPK signaling pathway, regulates the dynamics of BMI1 dissociation with chromatin and thus controls BMI1-driven repression program for the regulation of differentiation and developmental processes.46 Furthermore, AKT kinase phosphorylates BMI1 and increases its oncogenic potential in prostate cancer in an Ink4a/Arf independent manner.47 On the contrary, BMI1 phosphorylation at S361 by AKT triggers its dissociation from chromatin, thus hindering its oncogenic activity.48 BMI1 is also regulated at posttranslational level by ubiquitin proteasome system-mediated protein degradation. Our studies have shown that BMI1 C-terminal PS domain is critical for BMI1 stability and within this region a consensus motif DSGSDKANS is recognized by an E3 ligase β-TrCP, which regulate BMI1 protein turnover and consequent oncogenic activity.49 Increased stability of BMI1 triggers EMT of mammary epithelial cells, leading to metastatic phenotype.28 Interestingly, C-terminal PS domain deletion mutant of BMI1 seems to be more stable and oncogenic than BMI1 mutant that cannot be recognized by β-TrCP, suggesting plausible role of yet other unidentified E3 ligase(s) in BMI1 degradation and consequent modulation of downstream signaling.

BMI1 Role in Cellular Physiology

Through repression of target gene expression in a lineage-and context-dependent manner, BMI1 regulates a myriad of cellular processes critical for cell growth, cell fate decision, development, senescence, aging, DNA damage repair, apoptosis, and self-renewal of stem cells (Fig. 2).50 BMI1-knockout mice exhibited more than 50% of survival by third day after birth and those that survived showed skeletal/spinal growth defects, reduced density in cerebellum and neural layers, including other neurological abnormalities, and importantly hematopoietic abnormalities.51 The most studied and validated BMI1 target is Ink4a/Arf locus, which encodes three tumor suppressor: p16Ink4a, p14Arf, and p19Arf. Functional inactivation of BMI1 frequently promotes senescence (a cellular state in which cell ceases to proliferate and eventually die) with loss of G1 to S phase transition during cell cycle, majorly attributed to the derepression of the Ink4a/Arf locus. Hyperactivation of BMI1 bypasses cellular senescence and consequently promotes tumorigenesis by promoting cell cycle progression through repression of cell cycle checkpoint p16 and p21. Additionally, BMI1-mediate repression of p19, which otherwise induces p53 and impairs cell cycle arrest and apoptosis. Thus, collectively BMI1 regulates p53-pRb axis through repression of Ink4a/Arf locus, which has been described as the principle barrier to the initiation and maintenance of neoplastic transformation. Hyperactivation of BMI1, through various mechanisms, bypasses this barrier, promoting cellular transformation. Bmi1 also plays a critical role in preventing oxidative DNA damage and in preventing DNA damage response pathways. BMI1 and RING2 are recruited at the side of DNA double strand breaks (DSBs) and contribute to the ubiquitination of y-H2AX. BMI1 loss hinders recruitment of DNA repair machinery components, including 53BP1, BRCA1, and RAP89, at the site of DSBs and impairs homologous recombination causing accumulation of cells in G2M phase. Many cancer chemo and radiotherapies rely on DNA-damage-mediated cellular toxicity. Hence, increased expression or activity of BMI1 may also serve as a biomarker of resistance to DNA-damaging therapy.52–54 Apart from repression of Ink4a/Arf locus and DNA damage repair mechanisms, BMI1 also targets several other loci and controls myriad of cellular processes leading to oncogenesis of various lineages of cell.50,55,56
Figure 2

Upstream and downstream signaling pathways of BMI1. BMI1 is critical for normal cellular physiology and its deregulation through several mechanisms at transcriptional and translational levels as delineated in this figure promotes oncogenic transformation of cell through aberrant cellular signaling pathways.

BMI1 Role as a Biomarker of Cancer

BMI1 plays a significant role in several critical cellular processes, which when go awry lead to cancer progression. BMI1 is dysregulated in several types of cancer and overexpressed in several lineage of cancer stem cells.50,57–69 Due to its role in several cellular processes critical for normal cellular physiology and its frequent dysregulation in various types of cancer, BMI1 expression and hyperactivation have been considered as a biomarker for several types of cancer. This review addresses the involvement of BMI1 in several types of hematologic malignancies and its prospects as a biomarker and therapeutic target.

BMI1 Dysregulations in Hematologic Malignancies

The bone marrow produces blood stem cells (immature cells) that mature into blood cells over time while undergoing several rounds of differentiation. A blood stem cell may mature either into myeloid progenitor cell or into lymphoid progenitor cell. The lymphoid progenitor cell may further differentiate into lymphoblast cell that eventually form B-lymphocyte, T-lymphocyte, or natural killer cells. A myeloid progenitor cell differentiates into red blood cell, platelets, or white blood cells. Clonal proliferation of these cells at the level of stem, progenitor, and their different maturation stages due to aberrant signaling cues are responsible for evolution and propagation of hematologic malignancies. Similar to several other forms of cancer, BMI1 is also implicated in the uncontrolled proliferation of hematopoietic cells, self-renewal of hematopoietic stem cell and cancer stem cell, leading to malignant transformation. In fact, BMI1 deficiency compromises hematopoietic stem cell function, and it is indispensable for normal and leukemic stem and progenitor cell self-renewal.70,71 However, the role of BMI1, exploitation of its dysregulation as biomarker and therapeutic prospect of targeting BMI1 in various types of hematologic malignancies, has not been extensively discussed in the literature. The expression and activity of BMI1 in hematologic malignancies are regulated by several different mechanisms and can be utilized both as a biomarker and a therapeutic target.

BMI1 and Myeloid Malignancies

Myelodysplastic syndrome

Myelodysplastic syndrome (MDS) is a group of bone marrow disease with ineffective hematopoiesis and increased apoptosis of early and mature hematopoietic cells. The disease is very heterogeneous, and the prognosis is highly variable. MDS is highly susceptible for the transformation into acute myeloid leukemia or AML.72 Identification of biomarker for MDS is critical for early diagnosis and prognosis. BMI1 is a stem cell self-renewal marker of multiple lineages of stem cells, and since MDS is a disease of stem, progenitor, and blast cells, BMI1-associated abnormalities were investigated in MDS patient samples. In a study of 51 MDS and MDS-AML patients, high expression of BMI1 was observed in blast cell population and their variants with potential for transformation as compared to control. Particularly, higher positivity of BMI1 was reported in refractory anemia with excess blasts (RAEB), RAEB in transformation, and MDS-acute myeloid leukemia (MDS-AML) as compared to refractory anemia (RA) and RA with ringed sideroblast (RARS) cells. BMI1 has also been reported to prevent apoptosis in MDS-l. According to several emerging independent studies, it seems possible to stratify MDS population based on BMI1 expression level, and BMI1 expression might serve as biomarker for MDS prognosis.73,74

Acute myeloid leukemia

AML is also called acute myelocytic leukemia, acute myelogenous leukemia, acute nonlymphocytic leukemia, or acute granulocytic leukemia. It is also a cancer of myeloid line of blood cells. In this disease, patients have too many immature white blood cells in bone marrow, which are not able to undergo maturation. Several studies confirm the high expression of BMI1 in AML patients, which may contribute to leukemogenesis and unfavorable prognosis.75,76 A study performed with 64 AML patients corroborates the prognostic value of BMI1 in this disease. According to the findings from the study, patients with lower BMI1 positivity (≤55%, n = 33) had significantly longer overall survival (OS), cancer-specific survival (CSS), relapse free survival (RFS) and remission duration (RD) as compared to the patients harboring higher BMI1 levels (≥55%, n = 31). Furthermore, among the patients with secondary AML (n = 18), low BMI1 expression (n = 8) correlated with better OS and among patients with de novo AML (n = 46), and lower expression of BMI1 correlated with significantly higher OS, CSS, RFS, and RD.77 Another independent study published in the 56th American Society of Hematology conference reported prognostic value of BMI1 expression in 511 newly diagnosed AML patients.78 This study suggests that BMI1 expression was higher in AML with unfavorable cytogenetics (n = 252) compared to intermediate (n = 225) or favorable cytogenetics (n = 34). Higher BMI1 levels were associated with shorter median overall survival (OS). Furthermore, BMI1 inhibition by pharmacologic approaches triggered cytotoxicity in AML and acute lymphoid leukemia (ALL) cells by inducing apoptosis, suggesting that targeting BMI1 activity might be of therapeutic advantage for AML. BMI1 repression in human AML CD34+ cells de-represses p16Ink4a and p14Arf tumor suppressor and impairs their self-renewal capacity in culture. All these independent studies corroborate that expression of BMI1 is an independent biomarker, prognostic factor, and therapeutic target for AML.

Chronic myeloid leukemia

Chronic myeloid leukemia (CML) also known as chronic myelogenous leukemia is a disease of mature white blood cells, which mostly affects adults and is rarely seen in children. Average onset occurs around 60 years of age. CML undergo several stages of development starting from chronic phase to accelerated phase (and further to blast crisis).79,80 The disease is characterized by a balanced genetic translocation, t(9;22)(q34;q11.2), leading to a fusion of the Abelson (ABL) oncogene with breakpoint cluster region (BCR) gene.81–83 This fusion, also known as the Philadelphia chromosome, results into a chimeric oncoprotein Bcr-Abl, a constitutively active tyrosine kinase responsible for growth promoting cellular signaling. Despite a consistent molecular abnormality of Bcr-Abl fusion, CML exhibits marked heterogeneity in disease prognosis. Bcr-Abl collaborates with BMI1 for the leukemic transformation of CD34+ B-cells.75,84,85 BMI1 has previously been reported to cooperate with other oncogenes to induce malignant transformations and its overexpression contributes to disease aggressiveness.73,86,87 Hence, from conceptual standpoint, BMI1 might serve as another biomarker for CML transformation. Several independent studies corroborate that BMI1 expression was significantly higher in AML and CML patients as compared to healthy donors.84,85 Kaplan–Meier analysis on these samples exhibits strong association between relative BMI1 overexpression and significantly shorter OS and DFS. Interestingly, myriad of mechanisms contributes to BMI1 overexpression and ensuing downstream signaling to promote CML progression. E2F1 transcription factor, a direct positive regulator of BMI1, was also reported to be overexpressed in CML patient samples. Furthermore, this study reported an inverse correlation between BMI1 low expression and PR3 (proteinase-3, an independent prognostic marker of CML) high expression, which was associated with OS of CML patients.84 BMI1 prevents autophagy of CML cells by directly silencing tumor suppressor CCNG2/cyclin G2 and Ink4a/Arf locus along with regulating several differentiation makers including B-lymphoid differentiation genes p16, Ebf1, Pax5, and Ikzf1, to promote CML disease progression.75,88,89 Among CML patients, BMI1 expression was relatively lower in chronic phase as compared to advanced disease stages, such as accelerated or blastic CML. These relative expression data suggest that BMI1 overexpression contributes to disease aggressiveness and can be utilized as a biomarker of prognostic value to monitor CML progression at advanced stages.84,85

BMI1 and Lymphoid Malignancies

Acute lymphoblastic leukemia

Acute lymphoblastic leukemia (ALL) is the most common cancer among children.90 In ALL, the malignant transformation of lymphoid progenitor cell result into either B-cell lineage of ALL (B-ALL) or T-cell lineage of ALL (T-ALL). B-ALL contribute major fraction of ALL population. Being epigenetic modulator and stem cell self-renewal marker, BMI1 can further reprogram and transform CML B-lymphoid progenitors into leukemia initiating cells, leading to B-lymphoid leukemia (B-ALL) in vivo. However, survival of such leukemic B-lymphoid progenitors significantly depends upon Bcr-Abl fusion, suggesting a functional synergism between these two molecular markers of CML for disease progression.89 Further, whole exome sequencing identified BMI1 mutation in early T-cell precursor-ALL and overexpressed in CALM-AF10+ T-ALL (clathrin-assembly protein-like lymphoid-Myeloid leukemia gene to AF10), respectively, suggesting its role in T-cell lineage of ALL as well.91,92 Thus, emerging evidences are tempting to speculate that BMI1 may serve as biomarker for diagnosis and evolution of ALL disease of B-cell and T-cell origin and suggest a need for detail analysis in this regard using large cohort of ALL clinical samples.

Chronic lymphocytic leukemia

Chronic lymphocytic leukemia (CLL) is a clonal lymphoproliferative disorder characterized by immunophenotype of CD19+ CD5+ CD23+ peripheral lymphocytes weakly expressing CD20 and CD79b, and surface immunoglobulin (sIg).93 It is a slow growing B-cell malignancy with highly variable clinical course and hence, there is a need for the identification of novel molecular biomarker of this disease. In CLL, BMI1 is recurrently targeted by chromosomal rearrangement involving a novel t(10;14)(p12;q32)/IgH-BMI1 and its IG variants. The rearrangement of IGH-BMI1 was validated by FISH using probes centromeric to IGH and telomeric to BMI1. The median survival of CLL patients with t(10;14)(p12;q32) was 8.5 months, suggesting an aggressive behavior of the translocation. These aberrations were consistently acquired during disease progression; high-grade transformation of leukemia (Richter syndrome) exhibited a gain-of-function, and thus, BMI1 translocation can be utilized as biomarker for CLL with aggressive phenotype.94

Mantle cell lymphoma

Mantle cell lymphoma (MCL) is an indolent CD5+ lymphoma of naïve pre-germinal center B-cell, which is mostly characterized by t(11;14)(q13;q32) translocation, leading to dysregulation of cyclin D 1.95–97 Additionally, several other genomic alterations were identified in MCL leading to dysregulation of BMI1. The BMI1 expression pattern in normal hematopoietic cells is tightly regulated along the progressive stages of cellular differentiation, and accordingly, B-cell lymphomas also in part maintain this pattern of expression profile, such as MCL and CLL. These neoplasms derived from naïve pre-germinal center cells exhibit high expression levels of BMI1 as compared with follicular germinal center-derived follicular lymphoma (FL) and LCL.98 FISH and SNP array analyses of BMI1 in MCL exhibited abnormal hybridization pattern and structural abnormalities involving wide range of genes. The abnormalities identified in 17 cases were heterogeneous including reciprocal and nonreciprocal translocations, deletions, and insertions, constituting complex karyotypes. However, unlike CLL, these aberrations did not involve Ig loci.94 In another study, it was observed that BMI1 expression was significantly higher in MCL clinical specimen and further increased in MCL side population (SP) in patient samples and MCL cell lines as compared with CD5+ B-cell. MCL SP exhibits clonogenicity as well as self-renewal capacity and downregulates proapoptotic genes, BCL2L11/Bim and PMAIP1/Noxa, via increased BMI1 expression and activity. The increased BMI1 expression in MCL SP was more dramatic at the time of recurrence than at initial diagnosis.99 The high and aberrant expression of BMI1 in MCL and its SP is associated with poor prognosis and may contribute to pathogenesis of the disease. Hence, BMI1 expression may serve as biomarker for diagnosis, prognosis, and potential therapeutic target for treatment of aggressive form of MCL.

Diffuse large B-cell lymphoma

Diffuse large B-cell lymphoma (DLBCL) is the most common form of non-Hodgkin lymphoma (NHL) in the adult population, representing approximately 30%–40% of all NHLs, and accounting for more than 80% cases of aggressive lymphomas in the world. DLBCL is a heterogeneous group of B-cell lymphoma with different genetic backgrounds, morphologic features, and responses to therapy. Gene expression profiling and immunohistochemical studies can allow further subgrouping of DLBCL into different subtypes, including germinal center B-cell-like (GCB) DLBCL, activated B-cell-like (ABC) DLBCL, and primary mediastinal large B-cell lymphoma (PML-BCL). Despite recent improvements, DLBCL still represents a major clinical challenge due to the heterogeneous nature of the disease and a substantial proportion of patient’s still experience poor outcome.100 Hence, better understanding of germinal center-derived lymphoma biology and identification of novel molecular biomarker and targets are crucial for the improvement of the current therapeutic options. Targeted expression profiling in B-cell lymphoma suggests that BMI1 is preferentially expressed in B-cell lymphoma with aggressive phenotype, including DLBCL, Burkitt’s lymphoma, and MCL.101 In DLBCL, BMI1 expression is also a predictive biomarker to distinguish GCB type versus ABC type, and its expression is associated with unfavorable clinical outcome in primary nodal DLBCL.102 These studies indicate the possible role of BMI1 in DLBCL and need for further validation using a large cohort of DLBCL clinical samples for BMI1 expression as a biomarker of this heterogeneous disease.

Multiple myeloma

Multiple myeloma (MM) is one of the most common hematologic malignancy that accounts for ~13% of all hematologic malignancies and 1% of overall cancer.103 It is a terminally differentiated neoplasm of immunoglobulin producing plasma cells (PCs). In vitro and in vivo studies suggest that BMI1 is critical for the maintenance of transformed phenotype of MM. RNA interference-mediated silencing of BMI1 in MM cell line RPMI-8226 triggered apoptosis and increased production of apoptotic marker cleaved caspase 3.104 However, BMI1 profiling and genetic analysis in MM patient sample is required to implicate it as potential biomarker and therapeutic target for this disease.

T-cell lymphoma

T-cell lymphoma is a diverse group of lymphoproliferative disorder of T-cell origin. Frequently BMI1 overexpression has been associated with T-cell lymhomagenesis through various mechanisms.105 Often, down-regulation of miRNA) that specifically targets BMI1 expression is implicated in T-cell lymphomagenesis. For instance, miRNA 16, a specific regulator of BMI1, is downregulated in primary cutaneous T-cell lymphoma (CTCL).106 Similarly, downregulation of miRNA 200c that represses BMI1 expression has been associated with split radiation-induced thymic lymphoma (RITL).107 Downregulation of miRNA-200c or upregulation of BMI1 can be a prognostic biomarker of RITL. BMI1 is overexpressed in cutaneous T-cell lymphoma, particularly sezary syndrome.108 Our studies further support this finding showing recurrent copy number gain of BMI1 in sezary syndrome. However, this finding needs further detail functional validation.109 These independent studies implicate the role of BMI1 in various types of T-cell lymphoma and require detailed clinical evaluations to establish whether BMI1 levels/activity can be exploited as a biomarker for T-cell lymphoma.

Conclusion and Future Perspectives

BMI1 deregulation has been associated with evolution and progression of several types of cancer mostly by providing proliferative advantage to transformed cells through various mechanisms. This review elucidates BMI1 abnormalities identified in hematologic malignancies and their implication in disease progression, early diagnosis, prognostic evaluations, and therapeutic targeting. In summary, discussed studies collectively provide new insight into molecular mechanisms underlying aberrant overexpression of BMI1 as potential contributor to the pathogenesis of hematologic malignancies. BMI1 deregulations are associated with hematologic malignancies of stem, progenitor, mature, and even terminally differentiated cells. Therefore, it becomes important to comprehensively examine the role of BMI1 in other hematologic malignancies that are not yet associated with its deregulations. Since, BMI1 does not possess its own enzymatic activity, the challenge in future lies in development of pharmacological modulator that specifically targets BMI1 expression and activity. Targeting BMI1 activity might offer more curative success for the hematologic malignancies associated with its aberrant activity.
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1.  The Polycomb group protein Bmi-1 is essential for the growth of multiple myeloma cells.

Authors:  Zainab Jagani; Dmitri Wiederschain; Alice Loo; Dan He; Rebecca Mosher; Paul Fordjour; John Monahan; Michael Morrissey; Yung-Mae Yao; Christoph Lengauer; Markus Warmuth; William R Sellers; Marion Dorsch
Journal:  Cancer Res       Date:  2010-06-08       Impact factor: 12.701

Review 2.  Role of polycomb group proteins in stem cell self-renewal and cancer.

Authors:  Jesús Gil; David Bernard; Gordon Peters
Journal:  DNA Cell Biol       Date:  2005-02       Impact factor: 3.311

Review 3.  Transcriptional regulation by Polycomb group proteins.

Authors:  Luciano Di Croce; Kristian Helin
Journal:  Nat Struct Mol Biol       Date:  2013-10       Impact factor: 15.369

4.  Downregulation of miRNA-200c links breast cancer stem cells with normal stem cells.

Authors:  Yohei Shimono; Maider Zabala; Robert W Cho; Neethan Lobo; Piero Dalerba; Dalong Qian; Maximilian Diehn; Huiping Liu; Sarita P Panula; Eric Chiao; Frederick M Dirbas; George Somlo; Renee A Reijo Pera; Kaiqin Lao; Michael F Clarke
Journal:  Cell       Date:  2009-08-07       Impact factor: 41.582

5.  Fused transcript of abl and bcr genes in chronic myelogenous leukaemia.

Authors:  E Shtivelman; B Lifshitz; R P Gale; E Canaani
Journal:  Nature       Date:  1985 Jun 13-19       Impact factor: 49.962

6.  Alterations of polycomb gene BMI1 in human myeloproliferative neoplasms.

Authors:  Mandy Brecqueville; José Adélaïde; François Bertucci; Pascal Finetti; Max Chaffanet; Daniel Birnbaum; Anne Murati
Journal:  Cell Cycle       Date:  2012-07-24       Impact factor: 4.534

7.  MiR-218-targeting-Bmi-1 mediates the suppressive effect of 1,6,7-trihydroxyxanthone on liver cancer cells.

Authors:  Wei-Ming Fu; Li-Peng Tang; Xiao Zhu; Ying-Fei Lu; Yan-Ling Zhang; Wayne Yuk-Wai Lee; Hua Wang; Yang Yu; Wei-Cheng Liang; Chun-Hay Ko; Hong-Xi Xu; Hsiang-Fu Kung; Jin-Fang Zhang
Journal:  Apoptosis       Date:  2015-01       Impact factor: 4.677

8.  The polycomb group BMI1 gene is a molecular marker for predicting prognosis of chronic myeloid leukemia.

Authors:  Mohamad Mohty; Agnes S M Yong; Richard M Szydlo; Jane F Apperley; Junia V Melo
Journal:  Blood       Date:  2007-03-14       Impact factor: 22.113

9.  Variability in the expression of polycomb proteins in different normal and tumoral tissues. A pilot study using tissue microarrays.

Authors:  Margarita Sánchez-Beato; Esther Sánchez; Joaquín González-Carreró; Manuel Morente; Ana Díez; Lydia Sánchez-Verde; María Carmen Martín; Juan C Cigudosa; Miguel Vidal; Miguel A Piris
Journal:  Mod Pathol       Date:  2006-05       Impact factor: 7.842

10.  BMI1 cooperates with H-RAS to induce an aggressive breast cancer phenotype with brain metastases.

Authors:  M J Hoenerhoff; I Chu; D Barkan; Z-y Liu; S Datta; G P Dimri; J E Green
Journal:  Oncogene       Date:  2009-06-22       Impact factor: 9.867

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  14 in total

1.  The polycomb group protein BMI-1 inhibitor PTC-209 is a potent anti-myeloma agent alone or in combination with epigenetic inhibitors targeting EZH2 and the BET bromodomains.

Authors:  Mohammad Alzrigat; Alba Atienza Párraga; Muntasir Mamun Majumder; Anqi Ma; Jian Jin; Anders Österborg; Hareth Nahi; Kenneth Nilsson; Caroline A Heckman; Fredrik Öberg; Antonia Kalushkova; Helena Jernberg-Wiklund
Journal:  Oncotarget       Date:  2017-10-20

2.  Role of p16INK4a and BMI-1 in oxidative stress-induced premature senescence in human dental pulp stem cells.

Authors:  Cristina Mas-Bargues; José Viña-Almunia; Marta Inglés; Jorge Sanz-Ros; Juan Gambini; José Santiago Ibáñez-Cabellos; José Luis García-Giménez; José Viña; Consuelo Borrás
Journal:  Redox Biol       Date:  2017-04-07       Impact factor: 11.799

3.  DiNeR: a Differential graphical model for analysis of co-regulation Network Rewiring.

Authors:  Jing Zhang; Jason Liu; Donghoon Lee; Shaoke Lou; Zhanlin Chen; Gamze Gürsoy; Mark Gerstein
Journal:  BMC Bioinformatics       Date:  2020-07-02       Impact factor: 3.169

4.  Detection of novel fusion-transcripts by RNA-Seq in T-cell lymphoblastic lymphoma.

Authors:  Pilar López-Nieva; Pablo Fernández-Navarro; Osvaldo Graña-Castro; Eduardo Andrés-León; Javier Santos; María Villa-Morales; María Ángeles Cobos-Fernández; Laura González-Sánchez; Marcos Malumbres; María Salazar-Roa; José Fernández-Piqueras
Journal:  Sci Rep       Date:  2019-03-26       Impact factor: 4.379

5.  Asxl1 C-terminal mutation perturbs neutrophil differentiation in zebrafish.

Authors:  Xiao Fang; Song'en Xu; Yiyue Zhang; Jin Xu; Zhibin Huang; Wei Liu; Shunqing Wang; Kuangyu Yen; Wenqing Zhang
Journal:  Leukemia       Date:  2021-01-22       Impact factor: 11.528

Review 6.  Extinguishing the Embers: Targeting AML Metabolism.

Authors:  Rachel Culp-Hill; Angelo D'Alessandro; Eric M Pietras
Journal:  Trends Mol Med       Date:  2020-10-26       Impact factor: 11.951

7.  Semi-Quantitative Mass Spectrometry in AML Cells Identifies New Non-Genomic Targets of the EZH2 Methyltransferase.

Authors:  Yordan Sbirkov; Colin Kwok; Amandeep Bhamra; Andrew J Thompson; Veronica Gil; Arthur Zelent; Kevin Petrie
Journal:  Int J Mol Sci       Date:  2017-07-05       Impact factor: 5.923

8.  Mechanisms underlying the antiproliferative effects of a series of quinoxaline-derived chalcones.

Authors:  Tânia R Mielcke; Thaís C Muradás; Eduardo C Filippi-Chiela; Maria Eduarda A Amaral; Luiza W Kist; Maurício R Bogo; Alessandra Mascarello; Patrícia D Neuenfeldt; Ricardo J Nunes; Maria M Campos
Journal:  Sci Rep       Date:  2017-11-20       Impact factor: 4.379

9.  Impaired Expression of Rearranged Immunoglobulin Genes and Premature p53 Activation Block B Cell Development in BMI1 Null Mice.

Authors:  David J Cantor; Bryan King; Lili Blumenberg; Teresa DiMauro; Iannis Aifantis; Sergei B Koralov; Jane A Skok; Gregory David
Journal:  Cell Rep       Date:  2019-01-02       Impact factor: 9.423

Review 10.  B lymphoma Moloney murine leukemia virus insertion region 1: An oncogenic mediator in prostate cancer.

Authors:  Qipeng Liu; Qiaqia Li; Sen Zhu; Yang Yi; Qi Cao
Journal:  Asian J Androl       Date:  2019 May-Jun       Impact factor: 3.285

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