SETBP1 dysregulation in congenital disorders and myeloid neoplasms

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Oncotarget. 2017; 8:51920-51935. https://doi.org/10.18632/oncotarget.17231

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Nicoletta Coccaro, Giuseppina Tota, Antonella Zagaria, Luisa Anelli, Giorgina Specchia and Francesco Albano _


Nicoletta Coccaro1, Giuseppina Tota1, Antonella Zagaria1, Luisa Anelli1, Giorgina Specchia1 and Francesco Albano1

1Department of Emergency and Organ Transplantation (D.E.T.O.), Hematology Section, University of Bari, Bari, Italy

Correspondence to:

Francesco Albano, email: francesco.albano@uniba.it

Keywords: SETBP1, mutation, oncogene, Schinzel–Giedion syndrome, myeloid neoplasms

Received: February 24, 2017     Accepted: March 30, 2017     Published: April 19, 2017


Myeloid malignancies are characterized by an extreme molecular heterogeneity, and many efforts have been made in the past decades to clarify the mechanisms underlying their pathogenesis.

In this scenario SET binding protein 1 (SETBP1) has attracted a lot of interest as a new oncogene and potential marker, in addition to its involvement in the Schinzel-Giedon syndrome (SGS). Our review starts with the analysis of the structural characteristics of SETBP1, and extends to its corresponding physiological and pathological functions. Next, we describe the prevalence of SETBP1 mutations in congenital diseases and in hematologic malignancies, exploring how its alterations might contribute to tumor development and provoke clinical effects. Finally, we consider to understand how SETBP1 activation could be exploited in molecular medicine to enhance the cure rate.

<i>SETBP1</i> dysregulation in congenital disorders and myeloid neoplasms | Coccaro | Oncotarget


In the past decade important progress has been made in understanding the extreme molecular heterogeneity characterizing myeloid neoplasms. Four years ago a new player appeared in this extensive landscape of molecular alterations. As often happens when a new gene involved in tumorigenesis is discovered, also in the case of SET binding protein 1 (SETBP1) gene, the first studies reported its involvement in the pathogenesis of a congenital disorder, called Schinzel-Giedion syndrome (SGS). Depending on the type of mutation, the same gene may provoke different pathologic consequences; it is even more evident when the mutation hits at germline or somatic level.

In hematologic neoplasms, the discovery of SETBP1 as a new oncogene has helped to better define the molecular characteristics of pathologies such as atypical Chronic Myeloid Leukemia (aCML), a disease initially defined only by negative characteristics, like the absence of BCR-ABL1 fusion. SETBP1 mutations are found with different frequencies in almost all classes of myeloid disorders; these differences in the mutation prevalence highlighted the existence of a biological difference even between entities that in some cases have overlapping diagnostic criteria, as aCML and Chronic Myelomonocytic Leukemia (CMML).

Indeed, the described association of SETBP1 mutations with a poor clinical outcome is an important beginning on which to build future studies to device therapeutic targeting.

In this review we will discuss the domains and functions of SETBP1 in normal biology and in pathologic contexts. In the last part, we will focus on how SETBP1 alterations can be exploited in molecular medicine to enhance the cure rate.


The human SETBP1 gene, originally called SEB, is located at the cytogenetic band q12.3 of chromosome 18, a region that contains candidate tumor suppressor genes associated with deletions in cancer and leukemia [1]. There are two isoforms of the SETBP1 gene: the first (isoform a) encompasses a genomic region of 387613 pb, and the 6 exons encode an 9899 nt transcript, with a predicted protein of 1596 aa; the second one (isoform b) encompasses a genomic region of 197242 pb, and 4 exons encode a 1804 nt transcript with a predicted protein of 242 aa. Isoform b shares with isoform a the first 3 exons (UCSC; http://genome.ucsc.edu; release Dec 2013). Piazza et al. only observed the longest isoform expression by RNA sequencing and transcriptome profiling experiments in 13 aCML cases [2]. There is no other information about the expression, translation, localization and function of the shorter isoform.

The SETBP1 protein, with an estimated molecular mass of 170 kDa [1], is composed of a SET-binding region, an oncoprotein SKI homologous region, three bipartite NLS (nuclear localization signal) motifs, three AT hook domains, six PEST sequences, three sequential proline-rich repeats, four KxKHKxK, eight LSxxL and ten PxxPS repeated sentences [1] (Figure 1).

SETBP1 protein structure and mutations distribution.

Figure 1: SETBP1 protein structure and mutations distribution. From left to right: position map of the SETBP1 locus on chromosome 18, SETBP1 gene organization (isoform a), SETBP1 protein domains, and distribution of mutations reported on the COSMIC database (release Nov 2016). The image shows three AT hook domains (amino acids 584–596, 1016–1028, 1451–1463) [2], a SKI homologous region (amino acids 706–917) [2], a SET-binding domain (amino acids 1292–1488) [2], four repeat domains (amino acids 1466-1473, 1474-1481, 1482-1489, 1520–1543) [1, 2], three bipartite NLS motifs (amino acids 462-477, 1370-1384, 1383-1399) [1], and six PEST sequences (amino acids 1-13, 269-280, 548-561, 678-689, 806-830, 1502-1526) [1].

The human SET-binding region of SETBP1 has a high identity with mouse Setbp1, suggesting that it may be conserved and that SETBP1 may play an essential role in cells [1]. The binding of SETBP1 to the SET protein was identified by co-immunoprecipitation and DNA transfection experiments. It is well known that SET is a proto-oncogene that has a histone acetylation inhibitory activity and acts by inhibiting tumor suppressors as NM23-H1 and PP2A [3]. The cleavage of SET by Granzyme A during cytotoxic T lymphocyte-induced apoptosis removes the inhibition of NM23-H1, which translocates into the nucleus and cuts DNA [4, 5]. PP2A, a major protein phosphatase, can be bound and inhibited by SET and likely by a homeobox protein, HOX11, acting on several cell processes [610], such as cell proliferation, differentiation, and transformation [11, 12]. The effect of PP2A inhibition, observed in a human T-cell line, is the disruption of a G2/M cell-cycle checkpoint. SETBP1 regulates the SET inhibitory activity of PP2A and SET/PP2A interaction by its specific SET-binding [1]. Indeed, SETBP1 is a major counterpart of SET, and SET/SETBP1 interaction is stronger than that of SET/PP2A, in fact SETBP1 replaces PP2A in the SET/PP2A complex [1].

The SKI-homologous region of SETBP1 is so named because of the homology to the proto-oncogene SKI. SKI intervenes as a transcriptional co-repressor, inhibiting the transcription of target genes downstream of the Transforming Growth Factor-β (TGF-β) superfamily [13]. This region in SETBP1 could be involved in the regulation of the SKI/SKI homodimer and the SKI/SNON heterodimer, causing cellular transformation [14].

Three putative bipartite NLS motifs might be involved in signal-dependent nuclear transport of this protein across the nuclear pore [1].

The AT-hook motifs probably confer a DNA-binding capability to SETBP1; especially when present in multiple copies, AT-hook motifs can cause a DNA bending which could be crucial for transcriptional regulation [15]. Several proteins containing these motifs are components of chromatin remodeling complexes in yeast, Drosophila, and mammalian cells [1618]. Through its AT-hook motifs, SETBP1 may control gene transcription as part of a chromatin-remodeling complex; this is also consistent with its predominantly nuclear localization [19]. Furthermore, other DNA sequence-specific transcription factors presumably act in recruiting SETBP1 to its target promoters, as AT-hook motifs do not recognize a specific DNA sequence [20].


Various mechanisms can affect SETBP1 function. An altered expression was firstly observed in a translocation involving the SETBP1 locus. Cristóbal et al. described in a patient with acute myeloid leukemia (AML) a novel t(12;18)(p13;q12) involving ETV6, resulting in overexpression of SETBP1, located close to the breakpoint [21]. The authors suggested that SETBP1 overexpression protects SET from protease cleavage, increasing the amount of SET protein and leading to the formation of a SETBP1-SET-PP2A complex; this mechanism results in PP2A inhibition and proliferation of leukemic cells [21] (Figure 2). Besides, SETBP1 binds SET domains involved in the methylation of lysine residues on histone tails [22], and this binding could have important effects on both the inhibitory activity of SET, and on the Granzyme A mediated caspase-independent apoptosis induced by cytotoxic T lymphocytes; this could be a novel defense mechanism in leukemic cells [21]. In 2012 we reported SETBP1 overexpression in a Primary Myelofibrosis (PMF) case with t(12;18)(p13;q12) evolving to AML. The observation of the concomitant downregulation of the intronic regulatory MIR_4319 suggested a possible mechanism for SETBP1 altered expression [23].

Hypothetical effects of SETBP1 alterations.

Figure 2: Hypothetical effects of SETBP1 alterations. SETBP1 gene mutations avoid ubiquitin binding causing a greater stability of the SETBP1 protein. In absence of protein degradation, SETBP1 binds SET and the SETBP1-SET complex inhibits PP2A. Moreover, through its activity as a transcription regulator, SETBP1 acts on the expression level of the MYB, HOXA, RUNX1 genes and some targets of the TGF-β signaling pathway, activating a stem cell signature that includes apoptosis, differentiation and self-renewal. Milder effects are observed in the case of SETBP1 overexpression.

In 2010, Hoischen et al. described for the first time germline mutations in SETBP1 in a congenital disorder called SGS [22, 24]. Then in 2013, Piazza et al. performed exome sequencing of eight aCML cases, identifying somatic SETBP1 mutations in two cases. Subsequent analysis of the SETBP1 mutation status of a further 70 aCMLs, 574 diverse hematological malignancies and 344 cancer cell lines revealed mutations in 24% cases. These analyses found a hotspot mutation region between codons 858–871; most SETBP1 mutations (92%) were the same as those seen in SGS, and were associated with higher white blood cell counts and a worse prognosis [2]. The SETBP1 region where mutations cluster is highly conserved among vertebrates, and this suggests that it might have an important but still unknown biological role. According to the Eukaryotic Linear Motif (ELM) server, this region is a virtually perfect degron, i.e. an amino acids specific sequence that channels a protein to the initial degradation step. This degron in SETBP1 contains a consensus-binding region (DpSGXXpS/pT, where pS and pT are phosphorylated residues) for β-TrCP1, the substrate recognition subunit of the E3 ubiquitin ligase, and might be critical for protein degradation through ubiquitin binding [2]. When mutated, the SETBP1 protein is incapable of binding this E3 ligase subunit; this triggers a possible SETBP1 protein stability difference, in turn affecting the stabilization of SET. The stabilized SET protein can alter histone acetylation, or SET may directly bind and inhibit PP2A [2] (Figure 2).

Lastly, the SETBP1 locus may be exposed to germline focal deletion. Filges et al. identified two patients with de novo chromosomal microdeletions in 18q12.3 featuring only SETBP1. SETBP1 haploinsufficiency was suggested to be pathogenic but the phenotype seemed to be distinct from that of SGS [25] with milder developmental anomalies [26].


Until 2010, the Schinzel–Giedion syndrome (SGS, MIM#269150) was presumed to be a monogenic condition, and remained undetermined if the heritability pattern was recessive or de novo dominant. The discovery of heterozygous mutations in the SETBP1 gene by Hoischen et al. elucidated SGS inheritance as de novo dominant autosomal. To date 26 molecularly confirmed cases have been reported [22, 2736].

The multisystemic involvement observed in SGS is explained by the observation that SETBP1 is ubiquitously expressed through the body [37]. In 2008, Lehman et al. suggested clinical criteria for the diagnosis, based on the co-occurrence of developmental retardation [38, 39] with a typical facial phenotype combined with hydronephrosis or typical skeletal malformations including a sclerotic skull base, wide occipital synchondrosis, increased cortical density or thickness, and broad ribs [40]. Sometimes features such as visual impairment, hearing loss [41], brain anomalies [42], neurological degeneration [43], and an increased incidence of embryonal tumors [44] have also been described. The presence of progressive developmental retardation and multiple malformations makes the disease extremely severe and the prognosis very poor. Patients usually die at an early age; the longest documented survival was 15 years [28].

Regarding the high incidence of malignancy in SGS, to date 9 cases of malignant tumors in SGS have been reported [31, 4450]. It remains to be clarified whether these patients can tolerate therapy with cytotoxic agents and irradiation, as they show an increased tendency to infection. In any case the overall survival (OS) in patients with SGS and malignant tumors is poor [31]. As early diagnosis of SGS and early detection of malignancy might result in a better chance of survival, physicians should be aware of the high risk of malignancies in these patients.

Unlike from point mutations, SETBP1 microdeletion seems to be associated to a different phenotype from SGS. The “SETBP1 deletion phenotype” partially overlaps with the already described del(18)(q12.2q21.1) syndrome, featuring mild dysmorphic characters, mental retardation, impairment of expressive language and behavioral problems [25, 51]. Frequently the described deletions involve chromosomal 18 regions of various size, even if the minimum deleted region always contains the SETBP1 locus; all the reported microdeletions are de novo and heterozygous [25, 5254]. At molecular level, SETBP1 haploinsufficiency results in reduced expression, highlighting the observation that the “SETBP1 deletion phenotype” is allele dose sensitive [25].

These data support the concept that different type of mutations in the same gene may provoke phenotypic variability as SETBP1 mutations causing SGS may generate a gain-of-function or a dominant-negative effect, whereas haploinsufficiency or loss-of-function mutations produce a milder phenotype [25].


The suggestion of SETBP1 involvement in leukemogenesis and tumorigenesis was firstly advanced in 2001 when Minakuchi et al. described its discovery [1]. The observation that SETBP1 specifically interacted with SET supported the hypothesis of a tumorigenic role, as a few years earlier, SET had been shown to be fused to NUP214 (CAN) in a case of acute undifferentiated leukemia [55]. Later, SETBP1 was also described to be involved in a gene fusion, with NUP98, in a case of pediatric acute T cell lymphoblastic leukemia with t(11;18)(p15;q12) [56].

The first study involving a large cohort of cancer patients was conducted in 2010 by Cristòbal et al. which analyzed SETBP1 expression level in 192 AML cases, finding an overexpression in 53 patients (27.6%). SETBP1 overexpression was found to be associated with an unfavorable cytogenetic prognostic group featuring monosomy 7, and EVI1 gene overexpression; SETBP1-overexpressed patients had a significantly shorter OS, and, when the patients were older than 60 years, the prognosis was very poor [21].

Several studies endeavored to shed light on the mechanisms by which SETBP1 exerts its oncogenic role. The effects of overexpression were studied by Oakley et al., who identified SETBP1 as a novel regulator of leukemic stem cells (LSC) self-renewal in myeloid leukemias. They showed that in vitro SETBP1 overexpression could efficiently immortalize myeloid progenitors and sustain self-renewal; in mice, SETBP1 cooperated with BCR-ABL1 in transforming committed myeloid progenitors, that normally lack a self-renewal capability, into LSCs, causing the development of myeloid blast crisis of chronic myeloid leukemia (CML). SETBP1 overexpression was also observed in some CML advanced phase/blast crisis patients [15] in which PP2A activity was shown to be inhibited maybe through an increased SET expression induced by BCR-ABL1 [57].

Moreover, Oakley et al. were the first to find a novel transcriptional mechanism by which SETBP1 contributes to leukemia transformation via activating the HOXA9 and HOXA10 genes. HOXA9 and HOXA10 transcription levels in SETBP1-immortalized cells remained stable when cells were treated with 1,9-dideoxy-forskolin, a PP2A activator, raising the hypothesis that their activation could be independent of PP2A inhibition induced by SETBP1. In mouse and human myeloid progenitors the induced expression of the SETBP1 mutated form (either p.Asp868Asn or p.Ile871Thr) plays a role in immortalizing the cells by triggering the HOXA genes upregulation [58]. Indeed, the SETBP1 mutant form seemed to show a significantly more efficient colony formation capability and induce faster proliferation than the wild type counterpart [58, 59]. However, this oncogenic activity appears to be HOXA-genes-dependent, as silencing of either gene led to the loss of the proliferative ability both in the case of the SETBP1 mutation and in the case of overexpression [15, 58].

Functional experiments on the SETBP1 p.Gly870Ser mutant, the second most frequent alteration in cancer, showed a significantly reduced PP2A activity as well as a greater PP2A phosphorylation at position Tyr307, a well-known marker of PP2A inactivation. Cells expressing SETBP1 p.Gly870Ser also had a higher proliferation rate compared to cells expressing wild-type SETBP1 [2]. Indeed, in the presence of SETBP1 p.Gly870Ser the expression of LYN, a SRC family kinase transcriptionally inhibited by PP2A, and of PTGS2, was higher, both in aCML cases and in transfected TF1 cells [11]. Because SETBP1 is a predominantly nuclear protein, whereas PP2A is also located inside the cytoplasm, additional unknown mechanisms are probably operative in this setting [2].

The poor protein degradation observed in the case of SETBP1 p.Gly870Ser mutation can be considered functionally equivalent to SETBP1 overexpression [2]. As most SETBP1 mutations localize in the same region, a similar mechanism of action seems plausible also for them; the same conclusions were demonstrated also for p.Asp868Asn, the most frequent mutation [60]. Most mutations fall in the exon 4, outside the SET interacting domain, so they do not hit the DNA binding domains.

However, Makishima et al. observed some secondary AML (sAML) cases both with and without SETBP1 mutations that showed high levels of wild-type mRNA. They hypothesized that the mechanisms through which the mutant SETBP1 protein exerts its oncogenic activity may be more complicated, and could involve an aberrant hypomethylation of the SETBP1 promoter or alterations of upstream regulators such as MECOM [58, 61, 62] or of miRNAs such as MIR_4319, an intronic miRNA that was found to be downregulated in a case of PMF evolving to AML and expressing higher levels of SETBP1 mRNA [23].

The finding of a strong association of SETBP1 mutations with mutations in genes involved in pathways previously associated with a dismal prognosis lays the foundation for understanding the processes implicated in the malignancy pathogenesis and evolution. For example, it is known that PP2A can regulate the RAS-MAPK pathway via dephosphorylation of several substrates [63]; this interplay could explain the presence of SETBP1 mutations in the pathogenesis of Juvenile Myelomonocytic Leukemia (JMML), which is mainly believed to be a RAS driven disease.

Furthermore, in an interesting study by Inoue et al. the relationship between mutations of SETBP1 and ASXL1 was explored, starting from the observation that in Myelodysplastic Syndrome (MDS) the high rate of co-occurrence of mutations resulted in a shorter OS and a higher incidence of leukemic transformation, and that the acquisition of the SETBP1 mutation in ASXL1-mutated MDS occurs during disease progression [60, 64]. In the work by Inoue, the hypothesis that the SETBP1 mutation confers a selective advantage and plays a role in disease evolution was demonstrated in a series of in vitro experiments in which the expression of SETBP1 p.Asp868Asn was shown to enhance myeloid colony formation of ASXL1-mutated cells, and to increase the ASXL1 mutation-induced differentiation block of 32Dcl3 cells and primary bone marrow (BM) cells [60]. The increased stability gained by the mutated SETBP1 protein seems most likely to be a gain-of-function mutation, as overexpression of wild type SETBP1 exhibited milder effects than SETBP1 p.Asp868Asn.

Inoue et al. proposed, for the first time, an in vivo MDS-progressing-to-AML model expressing ASXL1 and SETBP1 mutations. In three independent experiments, mice transplanted with BM cells expressing both ASXL1-mutated and SETBP1 p.Asp868Asn developed AML and died, showing severe hepatosplenomegaly after a short latency; on the other hand the mice transplanted with BM cells expressing either mutant ASXL1 or p.Asp868Asn mutant SETBP1 survived for 6 months after transplantation [60]. Intriguingly, it was noted that in vivo the effect of the administration of FTY720, a PP2A activator, was less marked as compared to the efficient repression obtained in vitro. These data confirmed the upregulation of the HOXA9 and HOXA10 genes and led to the identification of new pathways potentially implicated in disease evolution.

Using RNA-seq data and gene set enrichment analysis (GSEA), several deregulated pathways were identified; among them, attention was focused on the TGF-β signaling pathway, in view of its major role in the pathogenesis of AML [6567] and because some TGF-β target genes were reported to be differentially expressed in aCML cells with mutated SETBP1 [2]. It is known that SKI inhibits TGF-β signaling through interaction with SMAD proteins; as SETBP1 owns a SKI homologous domain it could be speculated that it has the same regulatory function [6870]. The down-regulation of TGF-β receptors and of SMAD2/3 targets was observed, all components of the TGF-β pathway that had been reported to be altered in MDS [71].

All this evidence shows that the gain of function determined by the mutation of SETBP1 allows the new protein to interfere with different downstream pathways such as apoptosis, differentiation and self-renewal through alterations of the normal function of the PP2A, HOXA genes and TGF-β signaling pathway. Thus the combination of ASXL1 and SETBP1 mutations activates a stem cell signature and plays a main role in the mechanism of transformation [60] (Figure 2).

These data are important in order to find potential targets for future therapies in high-risk MDS. Furthermore, the effect of mutant SETBP1 on the activity of the TGF-β pathway could reveal a link with the SGS phenotype, given the crucial role of this cytokine in bone formation and remodeling [72]. The number of SGS patients described is too small and with limited follow-up, so a predisposition to myeloid neoplasms has not yet been reported and supplementary studies will be required to confirm this hypothesis.

More recently, both the overexpression of wild-type SETBP1 and the presence of a mutant SETBP1 were shown to be capable, alone, of inducing AML in a murine model [73, 74]. Again it was clear that SETBP1 mutations have a significantly higher oncogenic potential than wild-type SETBP1, triggering leukemia with a shorter latency and greater penetrance. At molecular level, a new transcriptional target was found in MYB, a transcription factor essential for hematopoiesis [75] that acts as a direct activator of oncogenes such as MYC [76], CCNB1 [77], BCL2 [76, 78], SMYD2 [79], and GFI1 [80], or as a repressor of differentiation regulators such as SFPI1, RUNX1, JUNB, and CEBPB [81]. Indeed, MYB is, in turn, a target of oncogenes such as HOXA9 and MLL fusions [82], and contributes to a leukemia stem cell maintenance signature [83] conferring a self-renewal capability to myeloid progenitors. MYB knockdown experiments provoked differentiation in myeloid progenitors immortalized by both wild-type and mutant SETBP1. Intriguingly, both wild type and mutant SETBP1 proteins were found directly bound to MYB, in the promoter regions but also introns 2 and 3, suggesting that SETBP1 regulates both transcriptional activation and elongation (Figure 2). As mutant SETBP1 proteins showed a higher transcriptional ability, Nguyen et al. suggested that, besides the increased stability of the protein, mutants could have an enhanced DNA-binding activity and/or that mutations could affect the interaction of SETBP1 with unknown key transcriptional co-factors or repressors [74]. Moreover, a novel function of SETBP1 as a transcriptional repressor through the recruitment of the Nucleosome Remodeling Deacetylase (NuRD) complex was proposed. By means of this ability, SETBP1 could directly repress the transcription of the tumor suppressor gene RUNX1, a mechanism that is critical for SETBP1-induced transformation [73] (Figure 2).

SETBP1 mutations in hematological malignancies: nature, frequency and concomitant alterations

The discovery of somatic mutation associated with hematological diseases and the advent of Next-Gen sequencing studies paved the way to unveiling many missense mutations within the SETBP1 gene (Figure 3A). Several studies were focused on analysis of the prevalence, clinical and prognostic value of SETBP1 mutations in myeloid malignancies other than aCML. In some cases the mutational status was investigated through Sanger sequencing, in others massive or targeted Next-Gen sequencing was applied; often the occurrence of SETBP1-mutations was studied in relation to the presence of concomitant mutated genes known to be important in the leukemogenic process.

Figure 3:

Figure 3: (A) Overview of SETBP1 mutation frequencies in a selection of tumors based on the Cosmic database (Nov 2016). (B) SETBP1 mutation frequencies in hematologic neoplasms. Abbreviations: ALL, Acute Lymphoblastic Leukemia; childhood AML, childhood Acute Myeloid Leukemia; sAML, secondary Acute Myeloid Leukemia; AML, Acute Myeloid Leukemia; t-MN, therapy-related Myeloid Neoplasms; MPN, Myeloproliferative Neoplasm; MDS/MPN, Myelodysplastic syndrome/Myeloproliferative neoplasm overlap syndromes; MDS, Myelodysplastic syndrome; JMML, Juvenile Myelomonocytic Leukemia; CMML, Chronic Myelomonocytic Leukemia; CNL, Chronic Neutrophilic Leukemia; aCML, atypic Chronic Myeloid Leukemia.

Reports by several groups confirmed that the SETBP1 mutation is an important event in various classes of myeloid malignancies including CMML, CNL (Chronic Neutrophilic Leukemia), JMML, MDS, MDS/MPN (Myelodysplastic/Myeloproliferative neoplasms), and AML (Figure 3B).

All reported mutations were missense; when analyzed, the mutational load was almost always 10–50%, representative of a heterozygous status; only few cases showed a homozygous mutation.

The most prevalent mutations were p.Asp868Asn, p.Gly870Ser, p.Ileu871Thr and p.Gly870Asp (38%, 29%, 9%, 3%, respectively – Cosmic release Nov 2016, Figure 4). Sometimes different mutations were reported in the same patient [84].

SETBP1 mutation type frequencies in Haematopoietic and lymphoid neoplasms based on the Cosmic database (release Nov 2016).

Figure 4: SETBP1 mutation type frequencies in Haematopoietic and lymphoid neoplasms based on the Cosmic database (release Nov 2016).

Indeed, sorting of early hematopoietic stem cells, multipotent progenitors, common myeloid progenitors, and granulocyte-monocyte progenitors cells clarified which hematopoietic progenitor compartments allow the onset of SETBP1 mutations. Using droplet digital polymerase chain reaction (ddPCR) analysis, SETBP1 mutations were detected in all four compartments corroborating the concept that SETBP1 mutations occur in early cancer-initiating cells [85].

As regards the frequency, SETBP1 mutations were detected in about 30% of aCML patients [2, 84].

In CNL, frequently SETBP1 mutations are associated with mutations in the CSF3R gene. Several studies reported different frequencies of the SETBP1 mutation (min 10% – max 38%) [84, 8688], probably due to different sizes of patient cohorts.

More than 90% of CMML patients show somatic mutations; the most frequently mutated genes are TET2 (50–60%), ASXL1 (40–50%), SRSF2 (40–50%). In this class of myeloid malignancies, SETBP1 mutations were observed in about 4-7% of patients when the analysis was performed with conventional sequencing methods [84, 8991]; instead, when deep sequencing was employed, the mutation rate rose to 15%-19% [58, 92]. The most recurrent concomitant mutations were ASXL1 and TET2 [93]; SETBP1 mutations were more frequent in ASXL1-mutated CMML patients (67 vs 33%), and less frequent in TET2-mutated patients (25 vs 64%) [89].

JMML is a pathology depicted by a very low gene mutation frequency as compared to other neoplasms such as CMML; somatic or germline RAS pathway involvement occurs in 89% of cases, and frequently, secondary alterations involve SETBP1 and JAK3 genes. About 8-10% of JMML patients showed SETBP1 mutations [59, 94, 95], even if it is thought that rare subclones below the limits of detection of deep sequencing are present at diagnosis in a large portion of patients who relapse. This hypothesis was demonstrated by Stieglitz et al. using ddPCR, with a limit of detectable events as low as 0.001% [96]; in a cohort of 56 JMML patients they identified SETBP1 mutations in 17 cases (30%) [85].

In MDS, the SETBP1 mutation rate is about 2-3%, frequently accompanied by concurrent mutations in other targets such as ASXL1, EZH2 and SRSF2 [60, 64], and might be associated with distinct cytogenetic aberrations involving chromosomes 7 (-7/del(7q)) and 17 (i(17)(q10)) [2, 58, 84, 89, 97-99]. In particular, SETBP1 mutations were overrepresented in patients with a sole i(17)(q10) (41-54%) as compared to cases with other cytogenetic rearrangements, and were mutually exclusive with TP53 mutations [84, 100].

Depending on the sequencing methodology, the mutational detection rate reported in sAML varied between studies; using conventional or massive sequencing the mutational frequencies were 1,7% [89] and 17% [58], respectively; whereas in primary AML the SETBP1 mutation rate was <1% [58]. There was a clear association with CBL gene mutations; the CBL-mutated clones were found to be significantly smaller than SETBP1-mutated clones; this suggested that CBL mutations were acquired later than SETBP1 mutations [58].

Regarding the MDS/MPN category, SETBP1 mutations might show a frequency of about 9% as compared with only 4% in the MPN category [2, 84]. The most frequently observed concomitant mutations were ASXL1 and CBL; instead, the occurrence of JAK2 and TET2 mutations was observed to be mutually exclusive with that of SETBP1 [84]. SETBP1 mutations have a causative role in the phenomenon of dysplasia in granulopoiesis and megakaryopoiesis: the bone marrow cytomorphology of SETBP1 mutated cases presents a characteristic phenotype with an increased dysplastic granulopoiesis and megakaryopoiesis strongly linked to the MDS/MPN category, and in particular to aCML [84].

In therapy-related myeloid neoplasms (t-MN) only 3% of patients presented SETBP1 mutations [101, 102]. Indeed, SETBP1 mutations do not seem to be involved in the leukemogenesis of acute lymphoblastic leukemia (ALL) [103] and childhood AML [104].

Analysis of the sequential order of acquisition of SETBP1 mutations and cytogenetic aberrations as well as mutations in ASXL1 and TET2 was performed in 22 MDS/CMML cases in transformation to AML: 15 cases (68.2%) presented mutations in at least one of the three genes during the course of the disease, four cases showed the acquisition of SETBP1 mutations during leukemic evolution, in one case the SETBP1 mutation was acquired before harboring the i(17)(q10) marker. However, no clear pattern in the timing of mutation acquisition was observed [98]. In another study, sequential analysis of the SETBP1 mutation during the clinical course was also performed on 270 samples from 109 patients, among whom 8 patients bore SETBP1 mutations at diagnosis [64]. In these latter patients the original SETBP1 mutations were retained, even if the mutant level in one of them was much reduced at the time of AML transformation; on the other hand, 2 of the 101 SETBP1-wild type patients acquired novel SETBP1 mutations during the follow-up. Among the 8 SETBP1-mutated patients, 6 presented transformation to acute leukemia and 1 showed disease progression. All these findings suggest that the SETBP1 mutation could be acquired during the clinical course, implying that it might play a role in disease progression [58], but that perhaps it is not a good biomarker for monitoring the treatment response [64].

Clinical correlations

Several reports proposed somatic SETBP1 mutations as a new independent prognostic marker associated with significantly shorter survival and higher white blood cell counts [89, 94].

In aCML, univariate analyses showed no significant differences in terms of age, hemoglobin concentration, platelet counts, and sex distribution. SETBP1-mutated cases showed a worse prognosis and higher white blood cell counts at diagnosis [2].

In the case of CNL, the CSF3R mutation status did not affect survival, whereas SETBP1-mutated patients showed a trend toward refractoriness to treatment and shorter survival, especially when CSF3R mutations were co-expressed [86, 105].

In CMML SETBP1-mutated patients had a significantly inferior OS and AML-free survival [89, 90, 106]; in multivariate analysis, SETBP1 mutations maintained the negative prognostic impact [90]. These observations supported the possibility of incorporating SETBP1 mutations into current prognostic models. Therefore, Elena et al. recently developed a CMML-specific prognostic scoring system (CPSS) based on clinical parameters and cytogenetics that integrated RUNX1, NRAS, SETBP1, and ASXL1 mutations, defining a clinical/molecular CPSS (CPSS-Mol) model capable of identifying four risk groups with a markedly different median OS and cumulative incidence of leukemic evolution [107]. This study confirmed the prognostic value of ASXL1 mutations, and highlighted the observation that mutations in RUNX1, NRAS, and SETBP1 had an additional independent prognostic value in CPSS cytogenetic risk groups [107].

In JMML, the observation that SETBP1 mutations occur only in a subpopulation of leukemic cells prompted the view that they may be involved in the evolution rather than at the beginning of leukemia, and are associated with a dismal prognosis. In fact, patients with secondary mutations showed shorter survival than those without mutations; further, patients with JMML who survived without hematopoietic stem cell transplantation did not harbor secondary mutations [85, 94]. Some authors proposed the possibility that the presence of SETBP1 mutations at subclonal level at diagnosis could be considered as an independent biomarker for poor prognosis that could improve the risk stratification to make an early identification of those patients that should be scheduled for hematopoietic stem cell transplant [85].

In MDS, the presence of the SETBP1 mutation predicted a poorer OS and higher probability of AML transformation. Indeed, the association of mutations in SETBP1 with some chromosomes aberrations and ASXL1, EZH2 and CBL mutations has been described in MDS and sAML. These genetic markers were associated per se with a shorter OS and increased risk of disease progression [58, 108, 109], and the independence of SETBP1 mutations as a prognostic factor could not always be demonstrated [58, 64]. However, multivariate analysis of OS performed in 64 MDS patients with ASXL1 mutations showed that the SETBP1 mutation was an independent poor prognostic factor regardless of age, the 2008 WHO classification and International Prognostic Scoring System (IPSS) classification [60].

Unlike MDS and sAML, SETBP1 mutations seem not to have a role in the pathogenesis of de novo AML [110], even if an alteration of the SETBP1 expression levels was found to be associated with a poor prognosis in elderly AML patients [21].

Recently, Shou et al. conducted a meta-analysis to investigate the prognostic effect of SETBP1 in MDS, CMML, and CNL [106]. Through a rigorous selection, a total of 12 key studies with 2321 patients were chosen: 4 studies for MDS, 5 studies for CMML, and 3 studies for CNL. The results confirmed that in MDS and CMML, but not in CNL, SETBP1 mutations are strongly associated with a poorer survival, and that the prognostic impact of SETBP1 mutations is similar to that of ASXL1 mutations [106].

Response to treatment and promising therapeutic opportunities

It is currently not known whether the presence of SETBP1 mutations could contribute to the ineffectiveness of therapy. Although SETBP1 mutations seemed to be associated with primary chemoresistance and induction failure in some AML cases, their prevalence was relatively low [111].

Recently, the plating of cryopreserved samples from serial time-points during follow-up of a JMML relapsed patient demonstrated that the number of cells that were heterozygous or homozygous for the SETBP1 mutation increased at each time-point despite intensive treatment, suggesting a resistance to traditional cytotoxic therapy [85].

Interestingly, two other studies reported the single cases of one CNL and one aCML, who both co-expressed CSF3R T618I and SETBP1 mutations that proved refractory to ruxolitinib treatment, after failure of hydroxyurea to control progressive neutrophilic leukocytosis [105, 112]. In the case with CNL, in vitro studies of the patient’s double-mutant myeloid cells demonstrated resistance to the JAK inhibitor treatment [105]. The further observation of a similar case of aCML positive to CSFR3 T618I but wild type for SETBP1 who responded to ruxolitinib, further supported the hypothesis of the role of the SETBP1 mutation in inducing treatment refractoriness [113]. Despite this, more recently it was reported another CNL patient with mutations in CSF3R and SETBP1, treated with ruxolitinib, showing clonal evolution with reduction of the CSF3R and SETBP1 mutations allele burden [114]. Therefore, likely due to the paucity of reports, it is still unclear what is the role of the SETBP1 mutation in relation to response to treatment and to disease evolution.

The association of SETBP1 activation with poor prognosis in many hematological diseases suggests that the identification of specific therapeutic strategies for these patients may provide an advantage, increasing the cure rate and survivals.

PP2A inactivation is a recurrent event that has been proposed as an important mechanism in the leukemogenic transformation of AML; SETBP1 activation is one of the mechanisms that lead to functional loss of PP2A activity. Pharmacological activation of PP2A seems to offer a future therapeutic alternative as in vitro PP2A restoration by PADs (PP2A-activating drugs) reverses some of the leukemogenic features [115, 116].

Likewise, as the SETBP1 mutation seems to act in repressing the expression of some crucial differentiating genes such as RUNX1 via the recruitment of a nucleosome remodeling deacetylase, treatment with class I histone deacetylase (HDAC) inhibitors could be a promising strategy to treat human myeloid leukemias with SETBP1 activation [73]. In vitro treatment with these inhibitors has been demonstrated to lead to an efficient differentiation of SETBP1 activation-induced leukemia cells, and to significantly extend the survival of mice transplanted with such leukemias [73].

Furthermore, the finding of interplay between MYB and mutant or wild type SETBP1 suggests that MYB inhibition could be a promising approach for treating myeloid neoplasms with SETBP1 activation. In vitro experiments with primary cultures from cells of a CMML patient with SETBP1 mutations showed that MYB gene knockdown dramatically inhibited colony-forming capability [74]; indeed, it seems that leukemia cells are more sensitive to a reduction of MYB activity than normal hematopoietic progenitors [117, 118] and that interaction of MYB with P300 is required for MYB-mediated leukemia transformation, but is less critical for normal hematopoiesis [119]. In the light of this observation, the triterpenoid Celastrol, a recently identified inhibitor of this interaction, offers a treatment opportunity, as it has been demonstrated in vitro and in vivo to be efficient in inhibiting the growth of mouse AML cells, while sparing the expansion of normal bone marrow progenitors [120].


All the reviewed studies clearly demonstrate a role for SETBP1 as an oncogenic factor with a double activity, both as a negative regulator of PP2A activity and as transcriptional regulator. However, our knowledge of SETBP1-regulated signaling pathways is still limited. Apart from the regulation of the HOXA gene cluster, RUNX1 and MYB, some reports also demonstrated that many TGF-β responsive genes were targeted by SETBP1-mutant proteins. This consideration implies that SETBP1 may have a role in the regulation of other genes. Conditional and/or tissue-specific induced SETBP1-mutated expression may help to identify the crucial pathways that are affected by alterations of SETBP1 normal function.

It is now evident that the SETBP1 mutation can be an important factor in cancer development, progression and maybe resistance. Gaining an understanding of the specific cellular functions and related pathways of both the wild-type and mutant SETBP1 proteins will be crucial to identify new targets for therapeutic treatment and so improve outcomes for patients with myeloid malignancies who carry SETBP1 mutations.

The diverse combinations of mutations detected in some cases of myeloid neoplasms imply a multi-step mechanism of disease pathogenesis. This variable mutational spectrum suggests a complex pathway from driver mutation to clonal evolution to clonal dominance and finally to the onset of the disease. Understanding the role of SETBP1 mutations in this pathogenic mechanism will help to provide the basis for risk stratification of patients and clinical decision-making.

As SETBP1 mutations are also seen in other cancer types, like tumors arising in children with SGS, understanding the role of SETBP1 in hematopoietic neoplasms will contribute to a better understanding of the oncogenic mechanism of other tumors and so to establishing an adequate treatment strategy.


The authors would like to thank Ms. MVC Pragnell, B.A. for language revision of the manuscript.


The Authors declare no conflicts of interests.


This work was supported by “AIL Bari, Associazione Italiana contro le Leucemie-Linfomi e Mieloma, Bari”.


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