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Review

Molecular Pathogenesis of Myeloproliferative Neoplasms: From Molecular Landscape to Therapeutic Implications

Clinica di Ematologia, Ospedali Riuniti di Ancona, Via Conca 71, 60126 Ancona, Italy
*
Author to whom correspondence should be addressed.
Int. J. Mol. Sci. 2022, 23(9), 4573; https://doi.org/10.3390/ijms23094573
Submission received: 28 March 2022 / Revised: 15 April 2022 / Accepted: 19 April 2022 / Published: 20 April 2022
(This article belongs to the Special Issue Molecular Pathogenesis of Myeloproliferative Neoplasms)

Abstract

:
Despite distinct clinical entities, the myeloproliferative neoplasms (MPN) share morphological similarities, propensity to thrombotic events and leukemic evolution, and a complex molecular pathogenesis. Well-known driver mutations, JAK2, MPL and CALR, determining constitutive activation of JAK-STAT signaling pathway are the hallmark of MPN pathogenesis. Recent data in MPN patients identified the presence of co-occurrence somatic mutations associated with epigenetic regulation, messenger RNA splicing, transcriptional mechanism, signal transduction, and DNA repair mechanism. The integration of genetic information within clinical setting is already improving patient management in terms of disease monitoring and prognostic information on disease progression. Even the current therapeutic approaches are limited in disease-modifying activity, the expanding insight into the genetic basis of MPN poses novel candidates for targeted therapeutic approaches. This review aims to explore the molecular landscape of MPN, providing a comprehensive overview of the role of drive mutations and additional mutations, their impact on pathogenesis as well as their prognostic value, and how they may have future implications in therapeutic management.

1. Introduction

Myeloproliferative neoplasms (MPNs) are an heterogenous group of clonal hematopoietic disorders characterized by myeloid progenitor proliferation in the bone marrow, which involve an excess of differentiated erythrocytes, platelets and leukocytes circulating in peripheral blood [1]. MPNs share many features, including a similar mutational landscape, a propensity to thrombosis and hemorrhage, and a risk of leukemic transformation in the long term. According to WHO 2016 classification, BCR-ABL negative MPNs are classified into different nosological categories as polycythemia vera (PV), essential thrombocythemia (ET), primary myelofibrosis (PMF, overt fibrotic and prefibrotic stage), and other rare disorders as chronic neutrophilic leukemia (CNL), chronic eosinophilic leukemia, not otherwise specified (CEL, NOS) and unclassifiable MPN (MPN-u) [2,3]. The diagnostical criteria of secondary myelofibrosis (post-PV-MF and post-ET-MF) were developed by International Working Group for MPN Research and Treatment [4]. While the prevalence remains difficult to determine, in Europe the incidence of MPN varies from 0.4 to 2.8/100.000 in patients affected by PV, from 0.38 to 1.7/100.000 in ET patients and from 0.1 to 1/100.000 in PMF [5].
The hallmark of MPN is the clonal hematopoiesis driven by acquired somatic mutations in myeloid progenitor cells, in particular phenotypic driver mutations in JAK2, CALR and MPL genes induce constitutive activation of intracellular JAK-STAT pathway. JAK2 V617F mutation is detected in 95% of patients with PV and it is present in approximately 50% of ET and PMF. CALR and MPL are mutated in most remaining patients with ET and PMF, while “triple negative” patients make up a small part of ET and PMF cases. Moreover, modern sequencing efforts have identified the complex genomic landscape of MPN with additional genetic alterations, especially in epigenetic modifiers and splicing factors [6]. The updated WHO 2016 criteria emphasize the presence of these genetic aberrations to conform a suspected diagnosis of MPN.

2. Driver Mutations in MPN

The principal and mutually exclusive mutations in MPNs occur in JAK2, CALR and MPL and they converge on Janus kinase (JAK)-signal transducer and activator of transcription (STAT) signaling. Mutations that activate the JAK-STAT signaling pathway are sufficient to cause MPN. JAK-STAT pathway plays several and critical roles in adapting of immune system, especially by modulating the polarization of T helper cells and by expressing cytokine receptors on cell surface. In the canonical pathway, JAKs are activated upon cytokine stimulation, in particular on binding of ligand to type I cytokine receptors including thrombopoietin (TPO) receptor MPL, colony-stimulating factor (G-CSF) receptor, and erythropoietin (EPO) receptors. Activation of JAK determines the phosphorylation of STATs which results in dimerization and translocation of STATs to the nucleus in order to activate or suppress the transcription of genes, causing cell proliferation and survival of the relevant myeloid lineage cells [7]. Over the last 15 years, constitutive activation of JAK2-STAT signaling has been revealed as critical mediator of the MPN pathogenesis [8]. Main mutations including JAK2 V617F and exon 12, MPL and CALR, lead to MPN via JAK-STAT constitutional activation [9]. Moreover, negative regulators of this pathway as casitas B-lineage lymphoma proto-oncogene (CBL), suppressor of cytokine signaling (SOCS) protein, and lymphocyte specific adaptor protein (LNK) are altered in MPN [10,11,12].
In 2005, the discovery of the JAK2 V617F mutations by different groups was a major breakthrough into the MPN research. A somatic mutation into exon 14 of JAK2 gene characterized by a valine to phenylalanine substitution at 617 position results in a conformal change of JH2 pseudo-kinase domain of JAK2. The mutation causes constitutive activation of JAK2-driven signaling pathway in absence of EPOR, MPL, and G-CSFR ligand binding [13,14]. Subsequential downstream activation of intracellular signaling occurs via STAT proteins, mitogen-activated protein kinase (MAPK), and phosphoinositidie-3-kinase (PI3K) [15]. A variety of mouse model demonstrated the JAK2 role in the MPN pathogenesis in vivo [16]. Through these models (bone marrow transplantation, targeted and transgenic knock-in models), it was clear that JAK2 V617F mutation is sufficient to drive the disease phenotypes observed in patients. Even the severity of the phenotype is related to the levels of JAK2 V617F expression, it has not yet been shown how three different diseases could rise from the same mutation. Notably, homozygous mutation and higher mutant allele burden (>50%) have been described associated with an increased risk of thrombosis [17]. The frequency of homozygous mutations varies by 25–30% in PV patients and 2–4% in ET [18].
JAK2 exon 12 mutations also result in constitutive activation of JAK2 signaling and this occurs in 2–3% of patients with PV [19]. Patients with JAK2 exon 12 mutations present with most marked erythrocytosis and younger age than V617F mutated, low serum erythropoietin levels, and a distinctive histologic appearance of the bone marrow. The association between different JAK2 mutations and phenotypical features as been shown in preclinical models as well [20].
In the majority of ET and PMF with JAK2 mutation wild-type, mutations in MPL and CALR are detectable. Mutations in MPL, located on chromosome 1p34, are present in 1–3% of ET cases and 5% of MF [21]. MPL gene contains 12 exon and encodes for TPO-receptor protein. MPL and TPO have a critical role in hematopoietic stem cell self-renewal by increasing DNA-PK-dependent chromosomal integrity and limiting their long-term injury in mouse model [22]. In knockout mice model, MPL also seems to be critical in megakaryocyte development [23]. MPL acts as a regulator of TPO levels providing negative feedback in production of mature platelets. In MPL mutated cases, TPO is not cleared, leading to elevated plasma TPO levels, which serves as an unchecked stimulus to drive the observed excessive megakaryocytopoiesis [24]. Several mutations of MPL have been identified, but the two most frequent type are W515L and W515K occurring within exon 10 [25]. Variant allele burden of greater than 50% are usually associated with PMF patient and post ET-MF [26].
In 2013, mutations in calreticulin (CALR) were identified in two groups of researchers independently by applying whole exon sequencing in JAK2 wild type MPN [27,28]. Calreticulin is an endoplasmic reticulum (ER) chaperone protein, and it is involved in the folding of glycoproteins in the lumen of ER containing a C-terminal ER retention signal with KDEL sequence with negative charges. In CALR mutated patients, a shifting of the reading frame leads to a new C-terminal devoid of the KDEL motif, that contain a common new amino acid sequence with positive charges with alteration in calcium homeostasis. Of the more than 50 CALR mutations identified, all are located in exon 9 and result in a 1 bp frameshift inducing a novel C-terminal sequence. The most frequent mutations correspond to a 52-bp deletion (p.L367fs*46), also called type 1 in 44% to 53% of patients and a 5-bp insertion (p.K385fs*47), also called type 2 in 32% to 42% of patients. According to these structural changes, the other mutations have been classified as type 1-like and type 2-like [29,30,31,32]. Only patient with ET and PMF harbor CALR mutation, suggesting the possible activation of MPL as pathogenic mechanism [33]. Recently, it has been demonstrated that mutant CALR induces cytokine independent activation of MPL. The mechanism of interaction and activation of MPL by mutant CALR has been described relying on interaction with immature asparagine-linked glycan for engagement with immature MPL in the endoplasmic reticulum. This complex formed between mutant CALR and MPL is then transported to the cell surface, inducing constitutive activation of downstream kinase JAK2 bound to MPL [34]. CALR mutation is present in 20–25% of ET and 25–30% of PMF patients, respectively. CALR subtypes are associated with peculiar phenotypes and outcomes in MPN. Type 1 mutated patients are more likely to have PMF and with a better survival compared to type 2 mutated PMF. Moreover, type 2 ET patients are associated with higher platelet count [35,36]. Furthermore, CALR ET patients compared with JAK2 or MPL mutated patients seem to be younger, are more likely to be male and have higher platelet counts, and lower incidence of thrombotic events. Regarding PMF patients, those that harbor CALR mutation have younger age, higher platelet count and less anemia compared to those JAK2 and MPL mutated [37]. A recent study suggested unique genetic dependencies from mutant CALR-driven oncogenesis based on N-Glycan biosynthesis pathway. Using pre-clinical model, in vivo the inhibition of N-glycosylation normalized the MPN characteristics in CALR mutated cells [38]. The role of mutated CALR in driving the clinical phenotype of MPNs has yet to be fully clarified. CALRdel52 mutations result in increased activation of its acetyltransferase function and upregulation of the transferrin receptor. The latter leads to impairment of iron metabolism inducing a susceptibility to ferroptosis [39].
Despite the discovered of JAK2, CALR, MPL mutations, the insight into the genetic basis of MPN show the presence of approximately 2% of PV and approximately 10% of ET and PMF unmutated for driver mutations. These “triple negative” MPN required a scrupulous diagnostic work-up by excluding reactive causes for a phenotype suggestive of myeloid proliferation. Triple negative ET are typically young female patients. In contrast, tiple negative PMF are associated with poorer prognosis compared to JAK2, MPL or CALR mutated patients [40].

3. Additional Mutations in MPN

The previously described driver mutations in JAK2, MPL, CALR cannot fully clarified the heterogeneity of MPNs. With the development of next-generation sequencing, several mutations were identified in more than one-third of MPNs patients [41]. These mutations turned out to be not restricted to MPN and they occur in other myeloid malignancies including myelodysplastic 0syndrome and acute myeloid leukemia. In MPN patients these mutations turn out to have a concrete diagnostic role, in addition to typical bone marrow features [42,43,44]. The most commonly affected genes are those concerning epigenetic regulation, messenger RNA splicing, transcriptional mechanism, signal transduction, and DNA repair mechanism (Table 1) [45]. Discoveries of the somatic mutations in MPN using whole genome analysis implicated a remarkably high number of mutations. This increased availability of genetic sequencing also in the diagnostic setting cleared the genetic heterogeneity of MPN [46,47].

3.1. Epigenetic Regulation

DNA methyl transferase 3 (DNMT3A) is a member of the family of DNA methyltransferases responsible for the addiction of a methyl group to cytosine in CpG dinucleotides. Several mutations in DNMT3A in MPN occur as nonsense/frameshift mutations and missense mutations (including at R882, which is located in the methyltransferase domain), resulting in loss of function [48]. In MPN, DNMT3A mutations have been reported in around 10% of patients, with a higher occurrence in PMF [49]. Dnmt3a loss in adult murine models leads to expansion of hematopoietic stem cells (HSC) and cells from progenitor department due to the acquisition of self-renewal ability [50]. Moreover, DNMT3A mutations facilitate disease progression in a CRISPR/Cas9 approach, which demonstrated DNMT3A loss leads to lethal disease in Jak2V617F-driven MPN mice model by loss of activation of enhancers and aberrant inflammatory signaling [48,51]. The mutation order of JAK2 V617F and DNMT3A mutations is associated with differences in MPN phenotype. Patients are more likely to present with ET compared to PV or PMF when DNMT3A mutation are acquired before JAK2 V617F compared to those who first acquired JAK2 mutation [52].
Ten-Eleven-Translocation-2 (TET2) is an enzyme that converts 5-methylated cytosine to 5-hydroxymethylated cytosine followed by demethylation in DNA [53]. All type of mutations determinate heterozygous or homozygous loss-of-function in its catalytic domain, causing reduced conversion of methylated to hydroxymethylated cytosines. In MPN patients, TET2 occurs in 7–22% and 19–28% of patients in chronic phase and blast phase, respectively, suggesting that TET2 mutations could have a role in increase the risk of leukemic transformation [54]. In murine and xenograft models, has been proved a better HSC repopulation in Tet2 mutated HSCs. Moreover, JAK2 mutated/Tet2 mutated HSCT have superior HSC repopulation compared to JAK2 mutated/Tet2 wild type HSCs [55]. The order of acquisition in JAK2-mutated MPN with co-occurring mutation in TET2 impacts the disease phenotype and patients with JAK2 as first mutations have a higher risk of thrombosis and they have higher probability of presenting with PV than ET with an higher risk of thrombosis [56].
Isocitrate dehydrogenase 1 and 2 (IDH1/2) are NADP-dependent enzymes which play a pivotal role in the citric acid cycle and are responsible for catalyzing isocitrate to alpha-ketoglutarate (α-KG) in the cytoplasm (IDH1) as well as in the mitochondria (IDH2) [57]. Heterozygous missense mutations in the active catalytic site (IDH1: R132, IDH2: R140 and R172) cause acquisition of the ability to convert α-KG into 2-hydroxyglutatate, interfering with proper TET2 function. IDH1 and IDH2 mutations occur at very low frequency in MPNs, but the reported percentage in blast phase MPN are 19–13%. Furthermore, patients who carried IDH mutations have worst survival outcome [58]. In murine model, the combined expression of Jak2V617F and mutant IDH1R132H or IDH2R140Q induces MPN progression, alters stem and progenitor cell function, and impairs differentiation in mice. By combined inhibition of JAK2 and IDH2, stem and progenitor cell compartments were normalized, reducing disease burden better then JAK inhibition alone. These data suggest that combined JAK and IDH inhibition may offer a therapeutic advantage in this high-risk MPNs [59]. The combination of mutations showed impaired differentiation and increased immature progenitors compared to more late stage differentiated progenitors. The IDH2 mutation has been shown to enhance aberrant splicing of mutant SRSF2, leading to genomic instability [60].
Additional Sex Comb Like-1 (ASXL1) is involved in epigenetic regulation of gene expression through interaction with PCR2 complex proteins and several other activators and repressors of transcription [61]. Heterozygous nonsense and frameshift mutations in exon 12 lead to loss or gain of function of its PHD domain. ASXL1 associates with the PRC2, and that loss of ASXL1 in vivo collaborates with NRASG12D to promote myeloid leukemogenesis [62]. ASXL1 mutations are more common in patients with PMF (18–37%) compared to patients with ET and PV (1–11% and 3–12%, respectively) [63]. Asxl1 knockout mice exhibit defects in frequency of differentiation of myeloid progenitors, but did not cause the development of hematological disease phenotype [64]. In a more recent study, ASXL1 loss in cord blood CD34+ cells reduce erythroid development [65]. Tefferi et al. tried to stratified PMF patients combining the presence of CALR and ASXL1 mutations. Patients with CALR mutated/ASXL1 wild type have the better survival compared to CALR wild type/ASXL1 mutated with a median overall survival of 10.4 years and 2.3 years, respectively [66]. The prognostic role of ASXL1 mutations was recently questioned in MF patients in a recent study, reporting that ASXL1 mutations conferred a worse prognosis only when associated with a high-risk mutation [67]. Furthermore, adult MPN patients with ASXL1 mutations are associated with a significantly higher risk of bleeding, not associated with abnormalities in Von Willebrand factor profile or factor V [68].
Proteins which form part of the polycomb group PRC2 are repressors of transcription through specific post-translational histone modifications. Enhancer of zeste homolog 2 (EZH2) is the functional enzymatic component of PRC2. Heterozygous/homozygous loss-of-function mutations disrupt or delete the catalytic SET2 domain, leading to act as a tumor suppressor in MPNs. EZH2 are found in 1–9% of chronic phase MPN patients. EZH2 mutated PMF patients had significantly higher leukocyte counts, blast-cell counts, and larger spleen sizes at diagnosis. Leukemia-free survival (LFS) and overall survival (OS) were significantly reduced in EZH2-mutated PMF patients [69]. In mice models, the MPN phenotype induced by JAK2 V617F was accentuated in JAK2 V617F/EZH2 (wild type/wild type) mice, resulting in very high platelet and neutrophil counts, more advanced myelofibrosis, and reduced survival [70]. JAK2 V617F mutation could also interferes with epigenetic processes and recently the role of phosphorylate arginine methyltransferase PRMT5 in myeloproliferative neoplasm (MPN) pathogenesis was investigated. PRMT5 is overexpressed in primary MPN cells, and PRMT5 inhibition potently reduced MPN cell proliferation ex vivo, presenting a potential novel therapeutic target [71].
The High Mobility Group A1 (HMGA1) gene encodes chromatin regulators, and it is overexpressed in MPN patients with progression. In addition, HMGA1 depletion seems to enhance responses to ruxolitinib in murine MF models, and to prolong survival in murine models of JAK2V617F AML, showing HMGA1 as a promising therapeutic target to treat or prevent disease progression [72].

3.2. Messenger RNA Splicing

The second class of mutations comprises mutations in splicing machinery [73]. Among the mutations involved in RNA splicing SRSF2, U2AF1, SF3B1 occur in hot spot regions and nonsense and frameshift mutations are absent, whereas ZRSR2 harbor only loss-of-function variants. The mechanism by which these somatic mutations lead to splicing abnormalities and different phenotypes still under investigation.
Serine and arginine rich splicing factor 2 (SRSF2) is involved in recognition of exon splicing enhancers. Heterozygous missense mutations and small in-frame deletions in hotspot P95 affect the preferred RNA recognition sequence in RNA exon splicing enhancers by accumulation of R loops, replication stress, and activation of the ATR-Chk1 pathway [74]. The presence of mutated SRSF2 also affected transcriptional regulation through predominant splicing of RUNX1 to form RUNX1a transcript [75]. In detail, the RUNX1 gene has several isoforms and the short isoform RUNX1a overexpression has been reported in myeloid disorders [76]. SRSF2 mutation is found in 3–20% of MPN, with lower frequency in PV and ET compared to PMF and blast phase MPN [77,78,79]. The role of SRSF2 in MPN pathogenesis and the ability to cooperate with JAK-STAT activating mutations need to be clarified. SRSF2 associated with JAK2 V617F correlates with a reduced leukemia free-survival. In JAK2 V617F transgenic mice, contrary to EZH2 mutation that induce myelofibrotic phenotype, heterozygous Srsf2 delay fibrosis development [80].
U2 small nuclear RNA auxiliary factor 1 (U2AF1) is a core part of mRNA splicing machinery and mutations are associated with abnormal splicing of several genes. Most frequent mutations are heterozygous missense mutations around hotspot S34 and Q157.In PMF, U2AF1 mutations were associated with inferior survival. This datum was confirmed also in MDS patients especially since in these patients the mutation is associated with recognized risk factors, including anemia and thrombocytopenia [81]. U2AF1 occur in 16% of PMF, and PV and ET patients harboring U2AF1 mutations have an inferior myelofibrosis-free survival compared to U2AF1 wild-type patients. The 65% of U2AF1 mutations affect Q157 and the presence of this mutation is associated with significantly shorter overall survival in MPNs [82]. Besides the canonical function, U2AF1 has been reported to be able to bind mRNA in the cytoplasm [83].
Splicing factor 3b subunit 1 (SF3B1), together with splicing factor 3a and 12S RNA unit, forms the U2 small nuclear ribonucleoproteins complex U2snRPN, which is critical in the early stages of spliceosome assembly. Heterozygous missense mutations are presented in exon 14–16 with hotspot K700E as the most frequent mutations. SF3B1 mutation is typically presented in patients with MPN/MDS with ring sideroblasts and thrombocytosis (80%) and it occurs only in the 5–10% of MPN patients. SF3B1 and JAK2 mutations are commonly observed together in MPN/MDS patients [84]. In mouse model mutant, JAK2 V617F has been observed to directly phosphorylate components of the splicing machinery in a different way compared to wild type JAK2. Moreover, JAK2 V617F mutant cells are sensitive to JAK inhibitor after activation of splicing enzyme [85]. In combination with CALR mutations, SFR3B1 appears to increase the proliferative advantage of megakaryopoiesis. CALR mutant has the ability to bind common major histocompatibility (MHC) class I protein, and the concomitant presence of SF3B1 leads to higher CALR neoantigen presentation on MHCI, suggesting a potential therapeutic target [86].
Zinc Finger CCCH-Type, RNA Binding Motif and Serine/Arginine Rich 2 (ZRSR2) is a gene located on chromosome Xp22.2, which is mutated in about 1–9% of patients with MPN, supporting a role as tumor suppressor.

3.3. Transcriptional Regulation

Transcriptional factors are pivotal for regulation of gene expression in MPN patients. Nuclear factor erythroid 2 (NEF2), is commonly mutated in MPN patients. The molecular pathogenesis is associated with JMJD1C demethylation and JAK2 phosphorylation [87]. NEF2 mutations are mostly heterozygous frameshift and they lead to over-expression of wild-type protein functions.
Runt-related Transcription Factor 1 (RUNX1) plays an important role in the regulation of normal hematopoiesis. Somatic mutations of RUNX1 are frequently found and have been intensively studied in hematological malignancies, such as acute myeloid leukemia (AML), acute lymphoblastic leukemia (ALL), myelodysplastic syndromes (MDS), and chronic myelomonocytic leukemia (CMML). In MPN, RUNX1 mutations occur in 1–4% of patients. Missense, frameshift, and nonsense mutations cause the loss of function and may act in a dominant-negative fashion over wild-type RUNX1 [88]. In blast phase MPN, RUNX1 mutation are demonstrated to be more frequent [89]. RUNX1 inactivation contributes to AML development through reduced myeloid differentiation. To clarify the molecular mechanisms of evolution, study on ectopic expression of RUNX1 in CD34+ hematopoietic stem cells from chronic MPN were performed and they showed that RUNX1 transduction resulted in proliferation of immature myeloid cells, enhanced self-renewal capacity, and proliferation of primitive progenitors [90].

3.4. Signaling

Beyond the driver mutations with are central driver of JAK-STAT pathway, additional signaling molecules may also be involved in MPN pathogenesis. RAS genes encode small GT-Pases with critical roles in cell fate signaling pathways [91]. Different RAS genes are mutated in MPN, with NRAS/KRAS mutations highly prevalent in these patients. Heterozygous missense substitutions at codon 12, 13, and 61 cause reduced intrinsic GTP hydrolysis and resistance to GAP, driving to activation of growth signaling. Mutations in NRAS and KRAS in MPNs are likely associated with blast phase and they are present in 7–15% of leukemic transformation. In mice model, the expression of oncogenic K-ras allele caused the development of a MPN phenotype with leukocytosis and normal maturation of myeloid lineage cells, associated with myeloid hyperplasia in bone marrow, and extramedullary hematopoiesis. Furthermore, oncogenic K-ras induces a myeloproliferative disorder but AML, indicating that additional mutations are required [92]. Recent findings showed that the KRAS G12D mutation leads to aggressive phenotype of MPN through mediation of Sos1, suggesting the use of Sos1-oncogenic Kras interaction as new therapeutic targets [93]. Protein tyrosine phosphatase, nonreceptor type 11 (PTPN11) is a protein encoding a phosphatase which regulates the RAS signaling pathway. Heterozygous missense mutations in the Src-homology 2 (N-SH2) and phosphotyrosine phosphatase (PTP) domains cause increased phosphatase activity. Mutations are found in 6–8% of blast phase MPN [88].
Casitas B-cell lymphoma (CBL) encodes a RING finger-containing E3 ubiquitin ligases involved in regulation of receptor and nonreceptor tyrosine kinases. Homozygous missense substitutions located in the RING and linker domain reduce E3 ligase activity. Recurrent CBL mutations occur in myeloid neoplasms, including 1% to 6% of MPN [94]. Recent data reveal that increased LYN interaction with mutant CBL are main factors of enhanced CBL phosphorylation, PI3K regulatory subunit 1 (PIK3R1) recruitment, and (PI3K)/AKT signaling in CBL-mutant cells [95].
The lymphocyte adaptor protein (or SH2B adapter protein 3) LNK (or SH2B3) is an adaptor protein with several domains including SH2 domain can regulate thrombopoietin- MPL-mediated JAK2 activation. Mutations in LNK is on example of a negative regulator of JAK/STAT signaling and alterations in exon2 were first described in 6% of V617F JAK2 negative MPN patients [12]. A reduced overall survival has been reported in ET patients harboring LNK mutation [96]. In colony-forming unit assays, Lnk, through its SH2 and PH domains, interacts with wild type and mutant JAK2 and is phosphorylated by constitutively activated JAK2 V617F. Lnk-deficient murine bone marrow cells are significantly more sensitive to transformation by JAK2 V617F than wild-type cells. Furthermore, Lnk levels are high in CD34(+) hematopoietic progenitors from MPN and that Lnk expression is induced following JAK2 activation [97].
Recently, whole-exome sequencing on CD34+ cells from PMF patients identified a recurrent mutation in complement factor I in 20% of patients, suggesting a role of the complement cascade in the MPN pathogenesis [98].

3.5. DNA Repair

Another class of gene important in the molecular pathogenesis of MPN includes genes involved with DNA damage response and cellular stress, which Tumor protein p53 (TP53) mutation is the dominant aberration. p53 plays a key role in cell integrity in response to stresses by controlling apoptosis, senescence, DNA repair, or changes in metabolism. Nakatake et al. demonstrated that also the driver mutation JAK2 V617F upregulate La antigen, increasing MDM2 protein translation and subsequentially altering p53 responses to DNA damage [99]. Mostly missense mutations are found in both allele, which determine a storage of mutant TP53 protein leading to negative effect on wild-type TP53, gain of function and loss of tumor suppression function. TP53 mutations often indicate blast phase when acquired in MPN [100]. A low burden mutation of TP53 is reported in chronic MPN but genetic alterations in the tumor suppressor TP53 are seen in up to 35% of patients upon leukemic transformation [101]. TP53 mutated MPN patients should be considered a high-risk subgroup of patients that could benefit from a different clinical and therapeutic approaches.
The serine-threonin protein phosphatase Mg2+/Mn2+ (PPM1D) gene negatively regulates TP53 induction in response to DNA damage [102]. This mutation was described in around 2% of MPN, most frequently in patients exposed to chemotherapy [103].
Although the three driver mutations JAK2, MPL, CALR are mostly mutually exclusive in MPN, the concomitant presence of two different mutation in JAK2 gene is reported in few reports. Alternatively, concomitant MPL or CALR mutations could occur in JAK2 mutated patients [104]. The clinical implications of these co-occurrences is not clear yet.
Complex clonal hierarchies have been observed in patients affected by MPN [105]. Acquisition order appears to be determinant in define disease phenotype. Presence of DNMT3A and TET2 mutations confer an advantage to hematopoietic stem/progenitor cells. The epigenetic regulation of transcriptional control affected by mutated TET2 and DNMT3A may allow to HSC to use alternative transcriptional programs and promote self-renewal. In case of TET2 mutant HSCs, the present of these mutation drives to expansion of the mutant clone in the HSC compartment but without a clear excess production of differentiated erythrocytes and megakaryocytes unit [106]. Furthermore, the mutation order of JAK2 V617F and DNMT3A is associated with differences in MPN phenotype, underlying the importance of the pattern of acquisition of JAK2 V617F with respect to mutations in epigenetic modifiers in influencing the phenotype of MPN [52]. Additionally, individual with clonal haematopoiesis of indeterminate potential (CHIP) have an enhanced risk of myeloid malignancy, including MPN [107]. In CHIP, TET2 and DNMT3A clonal are present in 25% and 14% smaller than ASXL1 clonal, respectively. This finding suggests a different ability of TET2 and DMT3A mutation to promote clonal expansion [108].
The role of clonal evolution on the outcome of MPN patients has not been explored yet. Only a large retrospective clinically and biologically real-life study evaluated the acquisition of new additional non-driver mutation during the clinical course, and it demonstrated that the clonal evolution correlate with poor survival in terms of overall survival, progression free survival and secondary MF free survival [109].

4. Germline Mutations in MPN

Instead MPN are generally acquired as a result of a somatic mutation with the ability to lead to the clonal expansion of myeloid precursors, several studies have shown familial clustering of MPN with an increased risk of developing MPNs among the relative of patients [110,111]. JAK2 or MPL germline mutations in patients were found in apparently sporadic MPN. Germline genetic factors have been identified to date, including some with rather high frequency in the population but lower penetrance and very rare but highly penetrant mutations clustered in families. Moreover, in MPN germ line mutations in TERT, SH2B3, TET2, ATM, CHEK2, PINT, and GFI1B are associated with JAK2 V617F. These genes impact in several biologic pathways including cellular aging as TERT, JAK-STAT signaling as JAK2, SH2B3, epigenetic regulation as TET2, DNA damage repair and tumor suppressor function as ATM, CHEK2, and PINT, and erythroid and megakaryocyte development as GFI1B [112]. The identification of inherited disease-causing genes might provide new targets for specific therapies.

5. Role of Mutations in Leukemic Transformation

Blast phase MPN has a markedly different mutational profile from chronic phase MPN and also from de novo acute myeloid leukemia [113]. Somatic alterations frequently implicated in de novo AML, including FLT3, NPM1, and DNMT3A, are frequently not mutated, instead genes involved in the spliceosome modulator SRSF2 and in the epigenetic regulation of DNA, including IDH1/2, TET2, ASXL1, and EZH2 are mutated in bast phase MPN. These findings implied a distinct molecular pathogenesis compared to AML.
Risk factors for leukemic transformation include most aggressive MPN subtype, as MF; other well known risk factors are blast counts above 3–5%, age, anemia, thrombocytopenia, leukocytosis, increasing bone marrow fibrosis, type 1 CALR-unmutated status, triple negative status; adverse cytogenetics, and acquisition of ≥2 high-molecular risk mutations (ASXL1, EZH2, IDH1/2, SRSF2, and U2AF1Q157) [114]. Among additional mutations, those affecting TP53 often coincide with leukemic evolution and synergistic with JAK2 mutation on leukemogenesis, and they have been associated with a slower, long-term transformation [115]. In contrast, JAK2 V617F is frequently lost upon leukemic transformation. In case of rapid acute progression, mutations occurring in RUNX1, IDH1/2, and U2AF1 have been preferentially described [116]. ASXL1 mutations have been reported at all phases of disease, suggesting a specific contribution in clonal evolution [54]. RUNX1 mutations is the main predictor of inferior survival in PMF patients, independent of specific treatment strategies, including hematopoietic stem cell transplant [88].
Recently, elevated dual-specificity phosphatase 6 (DUSP6) protein expression was associated with disease progression in MPN and with high rate of resistance to JAK2 inhibitions. Moreover, the DUSP6-RSK1 axis was proponed as a novel targetable pathway in MPN [117].
Moreover, the presence of any 3 or more somatic mutations has also been shown to predict reduced response to JAK2 inhibitors, suggesting that the presence of multiple mutations might serve influence treatment response and required investigational approaches [118,119].

6. Clinical and Molecular-Integrated Prognostic Scores in MPN

Recently, the prognostic relevance of somatic mutations in MPN patients was one of the main research fields in this group of diseases. Adverse molecular variants in ET included LNK, SF3B1, U2AF1, TP53, IDH1, and EZH2 impact on overall survival, myelofibrosis-free survival, and leukemia-free survival [120]. A recent study showed the salutary effect of ASXL1, RUNX1, and EZH2 mutations on the risk of arterial thrombosis in ET patients and the prognostic interaction between extreme thrombocytosis and CALR mutation in influencing the incidence of arterial events at the time of diagnosis [121]. In PV patients, the presence of ASXL1, SRSF2, and IDH1 seems to be associated with poorer overall survival and leukemia-free survival. [120] PV and ET JAK2 mutated patients with a persistently high (≥50%) or unsteady JAK2 V617F load during follow-up have an increased risk of myelofibrotic transformation and a trend for a higher incidence of thrombosis compared to patients with a stable allele burden below 50% [122].
Recently in myelofibrosis mutations played a pivotal role in the development of three new prognostic models in PMF: MIPSS70, MIPSS70+ version 2.0 (MIPSSv2), and GIPSS. These prognostic models add also components that highlighted the independent prognostic contribution of driver or additional mutations. MIPSS70 (mutation-enhanced international prognostic scoring system for transplant-age patients) was based on mutations and clinical variables; MIPSSv2 (the karyotype-enhanced MIPSS70) explored mutation status, karyotype, and clinical variables; GIPSS (the genetically-inspired prognostic scoring system) is based exclusively on mutations and karyotype. (Table 2) This last prognostic score that is exclusively based on genetic (ASXL1, SRSF2, U2AF1, type 1-CALR) and cytogenetic markers have a non-inferiority ability in prognostic stratification compared to MIPSS70+ [123,124]. In addition, the specific Myelofibrosis Secondary to PV and ET-Prognostic Model (MYSEC-PM) showed the prognostic role of CALR mutation status in secondary MF. Finally, to predict accurately the outcome of transplant candidate MF patients a Myelofibrosis Transplant Scoring System (MTSS) was recently developed. The score also incorporates CALR and MPL driver mutation and ASXL1 mutational status [125].
In myelofibrosis, patients presenting with a citopenias involving one or more hematopoietic lineages are defined as MF with myelodepletive phenotype and presented U2AF1 mutations as a distinct molecular marker [126].

7. Therapeutic Implications

The integration of molecular knowledges with clinical features is needed to refine disease diagnosis, prognosis, and consequentially to improve rationally derived therapies. (Figure 1) In MF, the discovery of JAK2 mutation and the observation that also MPL and CALR mutations induce constitutive activation of JAK-STAT pathway leading to the use of JAK inhibitor ruxolitinib started a new era for the management of these patients. As matter of fact, the development of JAK inhibitors allowed patients to achieve significant advances in control of symptoms and in quality of life improved the quality of life of MF patients, but they are largely insufficient to cure the disease. The main deficiency of ruxolitinib is an absence in clonal selectivity, and efforts are going to generate JAK2-specific inhibitors. In addition, patients relapsed/refractory to ruxolitinib have dismal outcome, in terms of survival and leukemic transformation [127]. JAK inhibitors lack to significantly impact on molecular response and on prevent disease progression [128]. Different JAK inhibitors are currently in indication, such as fedratinib or in advance clinical trials, including pacritinb and momelotinib [129,130,131]. Given the complex pathogenesis, targeted therapies as JAK inhibitors have not been curative. In fact, despite JAK2 inhibitor therapy, other pathway such as MAPK pathway has been shown to remain activated as a compensating process, involving MEK and ERK kinases. Furthermore, targeting MEK/ERK activation pathway seems to increase JAK inhibitor efficacy [132]. Recent data showed that the activation of ERK2 in JAK2V617F mutated MPN enhance PV progression to MF when ERK2 DEF-binding pocket domain function is disable. On the contrary, targeting ERK2 docking D-domain lead to a reduced proliferation of human and murine MPN cells, proving ERK-domain specific role in MPN pathogenesis and supporting development of agents targeting JAK2 and MAPK dependent MPN [133].
However, the role of RON kinase, a member of MET kinase family, is unknown in MPN pathogenesis, the RON phosphorylation was found enhanced in JAK inhibitor persistent cells, suggesting RON inhibitor as a suitable target agent in MPN patients [134].
Recently, Myolas et al. using whole-exome sequencing (WES) at multiple time points showed the acquisition of somatic mutations in MF patients receiving ruxolitinib therapy [135]. Drugs with mutant-specific activity may have limited clinical efficacy due to the complex and dynamic clonal architecture of the MPNs and the role of microenvironment. Similar to management of another disease, as myeloma multiple, the use of combination therapies is already under investigation and the combination therapy will likely be a future topic for treatment, also in upfront setting [136].
Recent molecular acquisitions have allowed the development of new therapeutical strategies [137]. Novel treatments have been developed and are currently in clinical trials for myelofibrosis with targets outside of the JAK-STAT pathway. Multiple pathways are targeted by the next generation of agents for myelofibrosis, including apoptosis (navitoclax, KRT-232, LCL-161, imetelstat), epigenetic modulation (CPI-0610, bomedemstat), and signal transduction pathways (parsaclisib) [138]. New alternative therapeutic targets are now under investigations. A recent paper identified calcium/calmodulin-dependent protein kinase 2 (CAMK2) as a promising therapeutic target in MF patients. In mice model, CAMK2G inhibition ameliorates MF, lessens splenomegaly and leukocytosis, and enhances survival [139].
However, the use of new drugs will soon be required to asses accurate response criteria, and find predictors of response to treatment. Concomitant mutations in MPN such as IDH1 and IDH2 could constitute new rationally designed target approaches. Moreover, in MPN with CALR mutated, the exposition of CALR in association with MPL on the cell surface could be used as a therapeutic target [34,140].

8. Conclusions

The discovery of the complex molecular landscape provides insight into MPN pathogenesis and reveals novel diagnostic and prognostic markers. Even the driver mutations are central in MPN biology concomitant mutations are common and often associated with more aggressive phenotype. The use of NGS assay in clinical practice is increasing and it aims to predict prognosis and estimate the risk of leukemic transformation. To date, the challenge is translated the complex molecular pathogenesis into effective individualized treatment. The next step will be to answer the unmet needs regarding the understanding of molecular mechanism in patients who lose the response to JAK inhibitor and the identification of new molecular anomalies suitable for target therapy, thus improving molecular-based therapeutic approaches.

Author Contributions

E.M.: Conceptualization, writing (original draft preparation, review, and editing); E.T., A.P., A.O. and S.R.: supervision. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data available in a publicly accessible repository.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Campbell, P.J.; Green, A.R. The myeloproliferative disorders. N. Engl. J. Med. 2006, 355, 2452–2466. [Google Scholar] [CrossRef]
  2. Arber, D.A.; Orazi, A.; Hasserjian, R.; Thiele, J.; Borowitz, M.J.; Le Beau, M.M.; Bloomfield, C.D.; Cazzola, M. The 2016 revision to the World Heath Organization classification of myeloid neoplasms and acute leukemia. Blood 2016, 127, 2391–2405. [Google Scholar] [CrossRef]
  3. Barbui, T.; Thiele, J.; Gisslinger, H.; Kvasnicka, H.M.; Vannucchi, A.M.; Guglielmelli, P.; Orazi, A.; Tefferi, A. The 2016 WHO classification and diagnostic criteria for myeloproliferative neoplasms: Document summary and in-depth discussion. Blood Cancer J. 2018, 8, 15. [Google Scholar] [CrossRef]
  4. Barosi, G.; Mesa, R.A.; Thiele, J.; Cervantes, F.; Campbell, P.J.; Verstovsek, S.; Dupriez, B.; Levine, R.L.; Passamonti, F.; Gotlib, J.; et al. Proposed criteria for the diagnosis of post-polycythemia vera and post-essential thrombocythemia myelofibrosis: A consensus statement from the International Working Group for Myelofibrosis Research and Treatment. Leukemia 2008, 22, 437–438. [Google Scholar] [CrossRef] [Green Version]
  5. Moulard, O.; Mehta, J.; Fryzek, J.; Olivares, R.; Iqbal, U.; Mesa, R.A. Epidemiology of myelofibrosis, essential thrombocythemia, and polycythemia vera in the European Union. Eur. J. Haematol. 2014, 92, 289–297. [Google Scholar] [CrossRef]
  6. Nangalia, J.; Green, A.R. Myeloproliferative neoplasms: From origins to outcomes. Blood 2017, 130, 2475–2483. [Google Scholar] [CrossRef]
  7. Wingelhofer, B.; Neubauer, H.A.; Valent, P.; Han, X.; Constantinescu, S.N.; Gunning, P.T.; Müller, M.; Moriggl, R. Implications of STAT3 and STAT5 signaling on gene regulation and chromatin remodeling in hematopoietic cancer. Leukemia 2018, 32, 1713–1726. [Google Scholar] [CrossRef] [Green Version]
  8. Kleppe, M.; Kwak, M.; Koppikar, P.; Riester, M.; Keller, M.; Bastian, L.; Hricik, T.; Bhagwat, N.; McKenney, A.S.; Papalexi, E.; et al. JAK-STAT pathway activation in malignant and nonmalignant cells contributes to MPN pathogenesis and therapeutic response. Cancer Discov. 2015, 5, 316–331. [Google Scholar] [CrossRef] [Green Version]
  9. Levine, R.L.; Wadleigh, M.; Cools, J.; Ebert, B.L.; Wernig, B.; Huntly, B.; Boggon, T.; Wlodarska, I.; Clark, J.; Moore, S.; et al. Activating mutation in the tyrosine kinase JAK2 in polycythemia vera, essential thrombocythemia, and myeloid metaplasia with myelofibrosis. Cancer Cell 2005, 7, 387–397. [Google Scholar] [CrossRef] [Green Version]
  10. Grand, F.H.; Hidalgo-Curtis, C.E.; Ernst, T.; Zoi, K.; Zoi, C.; McGuire, C.; Kreil, S.; Jones, A.; Score, J.; Metzgeroth, G.; et al. Frequent CBL mutations associated with 11q acquired uniparental disomy in myeloproliferative neoplasms. Blood 2009, 113, 6182–6192. [Google Scholar] [CrossRef] [Green Version]
  11. Elliott, J.; Suessmuth, Y.; Scott, L.M.; Nahlik, K.; McMullin, M.F.; Constantinescu, S.N.; Green, A.R.; Johnston, J.A. SOCS3 tyrosine phosphorylation as a potential bio-marker for myeloproliferative neoplasms associated with mutant JAK2 kinases. Haematologica 2009, 94, 576–580. [Google Scholar] [CrossRef] [Green Version]
  12. Pardanani, A.; Lasho, T.; Finke, C.; Oh, S.T.; Gotlib, J.; Tefferi, A. LNK mutation studies in blast-phase myeloproliferative neoplasms, and in chronic-phase disease with TET2, IDH, JAK2 or MPL mutations. Leukemia 2010, 24, 1713–1718. [Google Scholar] [CrossRef]
  13. Baxter, E.J.; Scott, L.M.; Campbell, P.J.; East, C.; Fourouclas, N.; Swanton, S.; Vassiliou, G.S.; Bench, A.J.; Boyd, E.M.; Curtin, N.; et al. Acquired mutation of the tyrosine kinase JAK2 in human myeloproliferative disorders. Lancet 2005, 365, 1054–1061. [Google Scholar] [CrossRef]
  14. James, C.; Ugo, V.; Le Couedic, J.P.; Staerk, J.; Delhommeau, F.; Lacout, C.; Garçon, L.; Raslova, H.; Berger, R.; Bennaceur-Griscelli, A.; et al. A unique clonal JAK2 mutation leading to constitutive signaling causes polycythaemia vera. Nature 2005, 434, 1144–1148. [Google Scholar] [CrossRef]
  15. Dusa, A.; Mouton, C.; Pecquet, C.; Herman, M.; Constantinescu, S.N. JAK2 V617F constitutive activation requires JH2 residue F595: A pseudokinase domain target for specific inhibitors. PLoS ONE 2010, 5, e11157. [Google Scholar] [CrossRef]
  16. Li, J.; Kent, D.G.; Chen, E.; Green, A.R. Mouse models of myeloproliferative neoplasms: JAK of all grades. Dis. Model Mech. 2011, 4, 311–317. [Google Scholar] [CrossRef] [Green Version]
  17. Vannucchi, A.M.; Antonioli, E.; Guglielmelli, P.; Longo, G.; Pancrazzi, A.; Ponziani, V.; Bogani, C.; Ferrini, P.R.; Rambaldi, A.; Guerini, V.; et al. Prospective identification of high-risk polycythemia vera patients based on JAK2(V617F) allele burden. Leukemia 2007, 21, 1952–1959. [Google Scholar] [CrossRef] [Green Version]
  18. Saliba, J.; Hamidi, S.; Lenglet, G.; Langlois, T.; Yin, J.; Cabagnols, X.; Secardin, L.; Legrand, C.; Galy, A.; Opolon, P.; et al. Heterozygous and homozygous JAK2(V617F) states modeled by induced pluripotent stem cells from myeloproliferative neoplasm patients. PLoS ONE 2013, 8, e74257. [Google Scholar] [CrossRef] [Green Version]
  19. Scott, L.M.; Tong, W.; Levine, R.L.; Scott, M.A.; Beer, P.A.; Stratton, M.R.; Futreal, P.A.; Erber, W.N.; McMullin, M.F.; Harrison, C.N.; et al. JAK2 exon 12 mutations in polycythemia vera and idiopathic erythrocytosis. N. Engl. J. Med. 2007, 356, 459–468. [Google Scholar] [CrossRef] [Green Version]
  20. Grisouard, J.; Li, S.; Kubovcakova, L.; Rao, T.N.; Meyer, S.C.; Lundberg, P.; Hao-Shen, H.; Romanet, V.; Murakami, M.; Radimerski, T.; et al. JAK2 exon 12 mutant mice display isolated erythrocytosis and changes in iron metabolism favoring increased erythropoiesis. Blood 2016, 128, 839–851. [Google Scholar] [CrossRef] [Green Version]
  21. Pardanani, A.D.; Levine, R.L.; Lasho, T.; Pikman, Y.; Mesa, R.A.; Wadleigh, M.; Steensma, D.P.; Elliott, M.A.; Wolanskyj, A.P.; Hogan, W.J.; et al. MPL515 mutations in myeloproliferative and other myeloid disorders: A study of 1182 patients. Blood 2006, 108, 3472–3476. [Google Scholar] [CrossRef] [Green Version]
  22. de Laval, B.; Pawlikowska, P.; Petit-Cocault, L.; Bilhou-Nabera, C.; Aubin-Houzelstein, G.; Souyri, M.; Pouzoulet, F.; Gaudry, M.; Porteu, F. Thrombopoietin-increased DNA-PK-dependent DNA repair limits hematopoietic stem and progenitor cell mutagenesis in response to DNA damage. Cell Stem Cell 2013, 12, 37–48. [Google Scholar] [CrossRef] [Green Version]
  23. Tiedt, R.; Coers, J.; Ziegler, S.; Wiestner, A.; Hao-Shen, H.; Bornmann, C.; Schenkel, J.; Karakhanova, S.; de Sauvage, F.J.; Jackson, C.W.; et al. Pronounced thrombocytosis in transgenic mice expressing reduced levels of Mpl in platelets and terminally differentiated megakaryocytes. Blood 2009, 113, 1768–1777. [Google Scholar] [CrossRef]
  24. Lannutti, B.J.; Epp, A.; Roy, J.; Chen, J.; Josephson, N.C. Incomplete restoration of Mpl expression in the mpl-/- mouse produces partial correction of the stem cell-repopulating defect and paradoxical thrombocytosis. Blood 2009, 113, 1778–1785. [Google Scholar] [CrossRef] [Green Version]
  25. Pikman, Y.; Lee, B.H.; Mercher, T.; McDowell, E.; Ebert, B.L.; Gozo, M.; Cuker, A.; Wernig, G.; Moore, S.; Galinsky, I.; et al. MPLW515L is a novel somatic activating mutation in myelofibrosis with myeloid metaplasia. PLoS Med. 2006, 3, e270. [Google Scholar] [CrossRef] [Green Version]
  26. Rumi, E.; Pietra, D.; Guglielmelli, P.; Bordoni, R.; Casetti, I.; Milanesi, C.; Sant’Antonio, E.; Ferretti, V.; Pancrazzi, A.; Rotunno, G.; et al. Acquired copy-neutral loss of heterozygosity of chromosome 1p as a molecular event associated with marrow fibrosis in MPL-mutated myeloproliferative neoplasms. Blood 2013, 121, 4388–4395. [Google Scholar] [CrossRef] [Green Version]
  27. Nangalia, J.; Massie, C.E.; Baxter, E.J.; Nice, F.L.; Gundem, G.; Wedge, D.C.; Avezov, E.; Li, J.; Kollmann, K.; Kent, D.G.; et al. Somatic CALR mutations in myeloproliferative neoplasms with nonmutated JAK2. N. Engl. J. Med. 2013, 369, 2391–2405. [Google Scholar] [CrossRef] [Green Version]
  28. Klampfl, T.; Gisslinger, H.; Harutyunyan, A.S.; Nivarthi, H.; Rumi, E.; Milosevic, J.D.; Them, N.C.C.; Berg, T.; Gisslinger, B.; Pietra, D.; et al. Somatic mutations of calreticulin in myeloproliferative neoplasms. N. Engl. J. Med. 2013, 369, 2379–2390. [Google Scholar] [CrossRef] [Green Version]
  29. Cabagnols, X.; Defour, J.P.; Ugo, V.; Ianotto, J.C.; Mossuz, P.; Mondet, J.; Girodon, F.; Alexandre, J.H.; Mansier, O.; Viallard, J.F.; et al. Differential association of calreticulin type 1 and type 2 mutations with myelofibrosis and essential thrombocytemia: Relevance for disease evolution. Leukemia 2015, 29, 249–252. [Google Scholar] [CrossRef]
  30. Elf, S.; Abdelfattah, N.S.; Chen, E.; Perales-Patón, J.; Rosen, E.A.; Ko, A.; Peisker, F.; Florescu, N.; Giannini, S.; Wolach, O.; et al. Mutant Calreticulin Requires Both Its Mutant C-terminus and the Thrombopoietin Receptor for Oncogenic Transformation. Cancer Discov. 2016, 6, 368–381. [Google Scholar] [CrossRef] [Green Version]
  31. Chachoua, I.; Pecquet, C.; El-Khoury, M.; Nivarthi, H.; Albu, R.-I.; Marty, C.; Gryshkova, V.; Defour, J.P.; Vertenoeil, G.; Ngo, A.; et al. Thrombopoietin receptor activation by myeloproliferative neoplasm associated calreticulin mutants. Blood 2016, 127, 1325–1335. [Google Scholar] [CrossRef]
  32. Cazzola, M. Mutant calreticulin: When a chaperone becomes intrusive. Blood 2016, 127, 1219–1221. [Google Scholar] [CrossRef] [Green Version]
  33. Balligand, T.; Achouri, Y.; Pecquet, C.; Chachoua, I.; Nivarthi, H.; Marty, C.; Plo, I.; Kralovics, R.; Constantinescu, S.N. Pathologic activation of thrombopoietin receptor and JAK2-STAT5 pathway by frameshift mutants of mouse calreticulin. Leukemia 2016, 30, 1775–1778. [Google Scholar] [CrossRef] [Green Version]
  34. Masubuchi, N.; Araki, M.; Yang, Y.; Hayashi, E.; Imai, M.; Edahiro, Y.; Hironaka, Y.; Mizukami, Y.; Kihara, Y.; Takei, H.; et al. Mutant calreticulin interacts with MPL in the secretion pathway for activation on the cell surface. Leukemia 2020, 34, 499–509. [Google Scholar] [CrossRef]
  35. Tefferi, A.; Lasho, T.L.; Finke, C.; Belachew, A.A.; Wassie, E.A.; Ketterling, R.P.; Hanson, C.A.; Pardanani, A. Type 1 vs. type 2 calreticulin mutations in primary myelofibrosis: Differences in phenotype and prognostic impact. Leukemia 2014, 28, 1568–1570. [Google Scholar] [CrossRef]
  36. Tefferi, A.; Wassie, E.A.; Guglielmelli, P.; Gangat, N.; Belachew, A.A.; Lasho, T.L.; Finke, C.; Ketterling, R.P.; Hanson, C.A.; Pardanani, A.; et al. Type 1 versus Type 2 calreticulin mutations in essential thrombocythemia: A collaborative study of 1027 patients. Am. J. Hematol. 2014, 89, 121–124. [Google Scholar] [CrossRef]
  37. Tefferi, A.; Thiele, J.; Vannucchi, A.M.; Barbui, T. An overview on CALR and CSF3R mutations and a proposal for revision of WHO diagnostic criteria for myeloproliferative neoplasms. Leukemia 2014, 28, 1407–1413. [Google Scholar] [CrossRef] [Green Version]
  38. Marneth, A.E.; Jutzi, J.S.; Guerra-Moreno, A.; Ciboddo, M.; Santos, M.J.J.; Kosmidou, A.; Hamel, R.; Lozano, P.; Rumi, E.; Doench, J.G.; et al. Whole-Genome CRISPR Screening Identifies N -Glycosylation As an Essential Pathway and a Potential Novel Therapeutic Target in CALR -Mutant MPN. Blood 2021, 138 (Suppl. S1), 58. [Google Scholar] [CrossRef]
  39. Greenbaum, H.S.; Evers, M.; Rosencrance, A.; Maxwell, L.; Kurylowicz, K.; Arellano, N.S.; Ciboddo, M.; Gao, J.; Ibarra, J.; Elf, S. Type I Calreticulin Mutations Result in Hyperactivation of Its Acetyltransferase Function and Iron Metabolism, Inducing a Susceptibility to Ferroptosis. Blood 2021, 138 (Suppl. S1), 3593. [Google Scholar] [CrossRef]
  40. Tefferi, A.; Lasho, T.L.; Finke, C.M.; Knudson, R.A.; Ketterling, R.; Hanson, C.H.; Maffioli, M.; Caramazza, D.; Passamonti, F.; Pardanani, A. CALR vs JAK2 vs MPL-mutated or triple negative myelofibrosis: Clinical, cytogenetic and molecular comparisons. Leukemia 2014, 28, 1472–1477. [Google Scholar] [CrossRef]
  41. Lee, J.; Godfrey, A.L.; Nangalia, J. Genomic heterogeneity in myeloproliferative neoplasms and applications to clinical practice. Blood Rev. 2020, 42, 100708. [Google Scholar] [CrossRef]
  42. Stuckey, R.; Gómez-Casares, M.T. Recent Advances in the Use of Molecular Analyses to Inform the Diagnosis and Prognosis of Patients with Polycythaemia Vera. Int. J. Mol. Sci. 2021, 22, 5042. [Google Scholar] [CrossRef]
  43. Jia, R.; Kralovics, R. Progress in elucidation of molecular pathophysiology of myeloproliferative neoplasms and its application to therapeutic decisions. Int. J. Hematol. 2020, 111, 182–191. [Google Scholar] [CrossRef] [Green Version]
  44. Takenaka, K. Progress in elucidation of molecular pathophysiology and its application in therapeutic decision-making for myeloproliferative neoplasms. Int. J. Hematol. 2020, 111, 180–181. [Google Scholar] [CrossRef] [Green Version]
  45. Lundberg, P.; Karow, A.; Nienhold, R.; Looser, R.; Hao-Shen, H.; Nissen, I.; Girsberger, S.; Lehmann, T.; Passweg, J.; Stern, M.; et al. Clonal evolution and clinical correlates of somatic mutations in myeloproliferative neoplasms. Blood 2014, 123, 2220–2228. [Google Scholar] [CrossRef] [Green Version]
  46. Szybinski, J.; Meyer, S.C. Genetics of Myeloproliferative Neoplasms. Hematol. Oncol. Clin. N. Am. 2021, 35, 217–236. [Google Scholar] [CrossRef]
  47. Marneth, A.E.; Mullally, A. The Molecular Genetics of Myeloproliferative Neoplasms. Cold Spring Harb. Perspect. Med. 2020, 10, a034876. [Google Scholar] [CrossRef] [Green Version]
  48. Abdel-Wahab, O.; Pardanani, A.; Rampal, R.; Lasho, T.L.; Levine, R.L.; Tefferi, A. DNMT3A mutational analysis in primary myelofibrosis, chronic myelomonocytic leukemia and advanced phases of myeloproliferative neoplasms. Leukemia 2011, 25, 1219–1220. [Google Scholar] [CrossRef] [Green Version]
  49. Stegelmann, F.; Bullinger, L.; Schlenk, R.F.; Paschka, P.; Griesshammer, M.; Blersch, C.; Kuhn, S.; Schauer, S.; Döhner, H.; Döhne, K. DNMT3A mutations in myeloproliferative neoplasms. Leukemia 2011, 25, 1217–1219. [Google Scholar] [CrossRef] [Green Version]
  50. Challen, G.A.; Sun, D.; Jeong, M.; Luo, M.; Jelinek, J.; Berg, J.S.; Bock, C.; Vasanthakumar, A.; Gu, H.; Xi, Y.; et al. Dnmt3a is essential for hematopoietic stem cell differentiation. Nat. Genet. 2011, 44, 23–31. [Google Scholar] [CrossRef] [Green Version]
  51. Jacquelin, S.; Straube, J.; Cooper, L.; Vu, T.; Song, A.; Bywater, M.; Baxter, E.; Heidecker, M.; Wackrow, B.; Porter, A.; et al. Jak2V617F and Dnmt3a loss cooperate to induce myelofibrosis through activated enhancer-driven inflammation. Blood 2018, 132, 2707–2721. [Google Scholar] [CrossRef] [Green Version]
  52. Nangalia, J.; Nice, F.L.; Wedge, D.C.; Godfrey, A.L.; Grinfeld, J.; Thakker, C.; Massie, C.E.; Baxter, J.; Sewell, D.; Silber, Y.; et al. DNMT3A mutations occur early or late in patients with myeloproliferative neoplasms and mutation order influences phenotype. Haematologica 2015, 100, e438–e442. [Google Scholar] [CrossRef] [Green Version]
  53. Tahiliani, M.; Koh, K.P.; Shen, Y.; Pastor, W.A.; Bandukwala, H.; Brudno, Y.; Agarwal, S.; Iyer, L.M.; Liu, D.R.; Aravind, L.; et al. Conversion of 5-methylcytosine to 5-hydroxymethylcytosine in mammalian DNA by MLL partner TET1. Science 2009, 324, 930–935. [Google Scholar] [CrossRef] [Green Version]
  54. Abdel-Wahab, O.; Manshouri, T.; Patel, J.; Harris, K.; Yao, J.; Hedvat, C.; Hedvat, C.; Heguy, A.; Bueso-Ramos, C.; Kantarjian, H.; et al. Genetic analysis of transforming events that convert chronic myeloproliferative neoplasms to leukemias. Cancer Res. 2010, 70, 447–452. [Google Scholar] [CrossRef] [Green Version]
  55. Chen, E.; Schneider, R.K.; Breyfogle, L.J.; Rosen, E.A.; Poveromo, L.; Elf, S.; Ko, A.; Brumme, K.; Levine, R.; Ebert, B.J.; et al. Distinct effects of concomitant Jak2V617F expression and Tet2 loss in mice promote disease progression in myeloproliferative neoplasms. Blood 2015, 125, 327–335. [Google Scholar] [CrossRef] [Green Version]
  56. Ortmann, C.A.; Kent, D.G.; Nangalia, J.; Silber, Y.; Wedge, D.C.; Grinfeld, J.; Baxter, E.J.; Massie, C.E.; Papaemmanuil, E.; Menon, S.; et al. Effect of mutation order on myeloproliferative neoplasms. N. Engl. J. Med. 2015, 372, 601–612. [Google Scholar] [CrossRef] [Green Version]
  57. Shih, A.H.; Abdel-Wahab, O.; Patel, J.P.; Levine, R.L. The role of mutations in epigenetic regulators in myeloid malignancies. Nat. Rev. Cancer 2012, 12, 599–612. [Google Scholar] [CrossRef]
  58. Tefferi, A.; Lasho, T.L.; Abdel-Wahab, O.; Guglielmelli, P.; Patel, J.; Caramazza, D.; Pieri, L.; Finke, C.M.; Kilpivaara, O.; Wadleigh, M.; et al. IDH1 and IDH2 mutation studies in 1473 patients with chronic-, fibrotic- or blast-phase essential thrombocythemia, polycythemia vera or myelofibrosis. Leukemia 2010, 24, 1302–1309. [Google Scholar] [CrossRef]
  59. McKenney, A.S.; Lau, A.N.; Somasundara, A.V.H.; Spitzer, B.; Intlekofer, A.M.; Ahn, J.; Shank, K.; Rapaport, F.T.; Patel, M.A.; Papalexi, E.; et al. JAK2/IDH-mutant-driven myeloproliferative neoplasm is sensitive to combined targeted inhibition. J. Clin. Investig. 2018, 128, 789–804. [Google Scholar] [CrossRef]
  60. Yoshimi, A.; Lin, K.-T.; Wiseman, D.H.; Rahman, M.A.; Pastore, A.; Wang, B.; Chun-Wei Lee, S.; Micol, J.-B.; Zhang, X.J.; de Botton, S.; et al. Coordinated alterations in RNA splicing and epigenetic regulation drive leukaemogenesis. Nature 2019, 574, 273–277. [Google Scholar] [CrossRef]
  61. Cho, Y.-S.; Kim, E.-J.; Park, U.-H.; Sin, H.-S.; Um, S.-J. Additional sex comb-like 1 (ASXL1), in cooperation with SRC-1, acts as a ligand-dependent coactivator for retinoic acid receptor. J. Biol. Chem. 2006, 281, 17588–17598. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  62. Abdel-Wahab, O.; Adli, M.; LaFave, L.M.; Gao, J.; Hricik, T.; Shih, A.H.; Pandey, S.; Patel, J.P.; Chung, Y.R.; Koche, R.; et al. ASXL1 mutations promote myeloid transformation through loss of PRC2-mediated gene repression. Cancer Cell 2012, 22, 180–193. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  63. Abdel-Wahab, O.; Tefferi, A.; Levine, R.L. Role of TET2 and ASXL1 mutations in the pathogenesis of myeloproliferative neoplasms. Hematol. Oncol. Clin. N. Am. 2012, 26, 1053–1064. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  64. Fisher, C.L.; Pineault, N.; Brookes, C.; Helgason, C.D.; Ohta, H.; Bodner, C.; Hess, J.L.; Humphries, R.K.; Brock, H.W. Loss-of-function Additional sex combs like 1 mutations disrupt hematopoiesis but do not cause severe myelodysplasia or leukemia. Blood 2010, 115, 38–46. [Google Scholar] [CrossRef] [Green Version]
  65. Shi, H.; Yamamoto, S.; Sheng, M.; Bai, J.; Zhang, P.; Chen, R.; Chen, S.; Shi, L.; Abdel-Wahab, O.; Xu, M.; et al. ASXL1 plays an important role in erythropoiesis. Sci. Rep. 2016, 6, 28789. [Google Scholar] [CrossRef]
  66. Tefferi, A.; Guglielmelli, P.; Lasho, T.L.; Rotunno, G.; Finke, C.; Mannarelli, C.; Belachew, A.A.; Pancrazzi, A.; Wassie, E.A.; Ketterling, R.P.; et al. CALR and ASXL1 mutations-based molecular prognostication in primary myelofibrosis: An international study of 570 patients. Leukemia 2014, 28, 1494–1500. [Google Scholar] [CrossRef]
  67. Paz, D.L.; Riou, J.; Verger, E.; Cassinat, B.; Chauveau, A.; Ianotto, J.-C.; Dupriez, B.; Boyer, F.; Renard, M.; Mansier, O.; et al. Genomic analysis of primary and secondary myelofibrosis redefines the prognostic impact of ASXL1 mutations: A FIM study. Blood Adv. 2021, 5, 1442–1451. [Google Scholar]
  68. Elshoury, A.; Yu, H.; Ji, W.; Thompson, J.E.; Griffiths, E.A.; Przespolewski, A.; Green, S.D.; Sung, P.J.; Aqeel, S.; Awada, H.; et al. ASXL1 Mutation Is a Novel Risk Factor for Bleeding in Patients with Philadelphia-Negative Myeloproliferative Neoplasms (MPN). Blood 2021, 138 (Suppl. S1), 3637. [Google Scholar] [CrossRef]
  69. Guglielmelli, P.; Biamonte, F.; Score, J.; Hidalgo-Curtis, C.; Cervantes, F.; Maffioli, M.; Fanelli, T.; Ernst, T.; Winkelman, N.; Jones, A.V.; et al. EZH2 mutational status predicts poor survival in myelofibrosis. Blood 2011, 118, 5227–5234. [Google Scholar] [CrossRef]
  70. Shimizu, T.; Kubovcakova, L.; Nienhold, R.; Zmajkovic, J.; Meyer, S.C.; Hao-Shen, H.; Geier, F.; Dirnhofer, S.; Guglielmelli, P.; Vannucchi, A.M.; et al. Loss of Ezh2 synergizes with JAK2-V617F in initiating myeloproliferative neoplasms and promoting myelofibrosis. J. Exp. Med. 2016, 213, 1479–1496. [Google Scholar] [CrossRef]
  71. Pastore, F.; Bhagwat, N.; Pastore, A.; Radzisheuskaya, A.; Karzai, A.; Krishnan, A.; Li, B.; Bowman, R.H.; Xiao, W.; Viny, A.D.; et al. PRMT5 Inhibition Modulates E2F1 Methylation and Gene-Regulatory Networks Leading to Therapeutic Efficacy in JAK2(V617F)-Mutant MPN. Cancer Discov. 2020, 10, 1742–1757. [Google Scholar] [CrossRef] [PubMed]
  72. Li, L.; Kim, J.-H.; Lu, W.; Williams, D.M.; Kim, J.; Cope, L.; Rampal, R.; Koche, R.; Xian, L.; Luo, L.Z.; et al. HMGA1 Chromatin Regulators Induce Transcriptional Networks Involved in GATA2 and Proliferation During MPN Progression. Blood 2022. [Google Scholar] [CrossRef] [PubMed]
  73. Hautin, M.; Mornet, C.; Chauveau, A.; Bernard, D.G.; Corcos, L.; Lippert, E. Splicing Anomalies in Myeloproliferative Neoplasms: Paving the Way for New Therapeutic Venues. Cancers 2020, 12, 2216. [Google Scholar] [CrossRef] [PubMed]
  74. Chen, L.; Chen, J.-Y.; Huang, Y.-J.; Gu, Y.; Qiu, J.; Qian, H.; Shao, C.; Zhang, X.; Hu, J.; Li, H.; et al. The Augmented R-Loop Is a Unifying Mechanism for Myelodysplastic Syndromes Induced by High-Risk Splicing Factor Mutations. Mol. Cell 2018, 69, 412–425.e6. [Google Scholar] [CrossRef] [Green Version]
  75. Sakurai, H.; Harada, Y.; Ogata, Y.; Kagiyama, Y.; Shingai, N.; Doki, N.; Ohashi, K.; Kitamura, T.; Komatsu, N.; Harada, H. Overexpression of RUNX1 short isoform has an important role in the development of myelodysplastic/myeloproliferative neoplasms. Blood Adv. 2017, 1, 1382–1386. [Google Scholar] [CrossRef] [Green Version]
  76. Liu, X.; Zhang, Q.; Zhang, D.-E.; Zhou, C.; Xing, H.; Tian, Z.; Rao, Q.; Wang, M.; Wang, J. Overexpression of an isoform of AML1 in acute leukemia and its potential role in leukemogenesis. Leukemia 2009, 23, 739–745. [Google Scholar] [CrossRef]
  77. Lasho, T.L.; Jimma, T.; Finke, C.M.; Patnaik, M.; Hanson, C.A.; Ketterling, R.P.; Pardanani, A.; Tefferi, A. SRSF2 mutations in primary myelofibrosis: Significant clustering with IDH mutations and independent association with inferior overall and leukemia-free survival. Blood 2012, 120, 4168–4171. [Google Scholar] [CrossRef] [Green Version]
  78. Tefferi, A.; Lasho, T.L.; Hanson, C.A.; Ketterling, R.P.; Gangat, N.; Pardanani, A. Screening for ASXL1 and SRSF2 mutations is imperative for treatment decision-making in otherwise low or intermediate-1 risk patients with myelofibrosis. Br. J. Haematology 2018, 183, 678–681. [Google Scholar] [CrossRef] [Green Version]
  79. Tefferi, A.; Nicolosi, M.; Mudireddy, M.; Szuber, N.; Finke, C.M.; Lasho, T.L.; Hanson, C.A.; Ketterling, R.P.; Pardanani, A.; Gangat, N.; et al. Driver mutations and prognosis in primary myelofibrosis: Mayo-Careggi MPN alliance study of 1095 patients. Am. J. Hematol. 2018, 93, 348–355. [Google Scholar] [CrossRef] [Green Version]
  80. Willekens, C.; Laplane, L.; Dagher, T.; Benlabiod, C.; Lacout, C.; Rameau, P.; Catelain, C.; Alfaro, A.; Edmond, V.; Signolle, N.; et al. SRSF2-P95Hdelays Myelofibrosis Development through Altered JAK/STAT Signaling in JAK2-V617F Megakaryocytes. Blood 2021, 138 (Suppl. S1), 2544. [Google Scholar] [CrossRef]
  81. Tefferi, A.; Finke, C.M.; Lasho, T.L.; Hanson, C.A.; Ketterling, R.P.; Gangat, N.; Pardanai, A. U2AF1 mutation types in primary myelofibrosis: Phenotypic and prognostic distinctions. Leukemia 2018, 32, 2274–2278. [Google Scholar] [CrossRef] [PubMed]
  82. Tefferi, A.; Lasho, T.L.; Finke, C.M.; Elala, Y.; Hanson, C.A.; Ketterling, R.P.; Gangat, N.; Pardanai, A. Targeted deep sequencing in primary myelofibrosis. Blood Adv. 2016, 1, 105–111. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  83. Palangat, M.; Anastasakis, D.G.; Fei, D.L.; Lindblad, K.E.; Bradley, R.; Hourigan, C.S.; Hagner, M.; Larson, D.R. The splicing factor U2AF1 contributes to cancer progression through a noncanonical role in translation regulation. Genes Dev. 2019, 33, 482–497. [Google Scholar] [CrossRef] [PubMed]
  84. Broséus, J.; Alpermann, T.; Wulfert, M.; Florensa Brichs, L.; Jeromin, S.; Lippert, E.; Rozman, M.; Lifermann, F.; Grossmann, V.; Haferlach, T.; et al. Age, JAK2(V617F) and SF3B1 mutations are the main predicting factors for survival in refractory anaemia with ring sideroblasts and marked thrombocytosis. Leukemia 2013, 27, 1826–1831. [Google Scholar] [CrossRef] [Green Version]
  85. Jayavelu, A.K.; Schnöder, T.M.; Perner, F.; Herzog, C.; Meiler, A.; Krishnamoorthy, G.; Huber, N.; Mohr, J.; Edelmann-Stephan, B.; Austin, R.; et al. Splicing factor YBX1 mediates persistence of JAK2-mutated neoplasms. Nature 2020, 588, 157–163. [Google Scholar] [CrossRef]
  86. Schischlik, F.; Jäger, R.; Rosebrock, F.; Hug, E.; Schuster, M.; Holly, R.; Fuchs, E.; Milosevic, J.D.; Bogner, E.; Gisslinger, B.; et al. Mutational landscape of the transcriptome offers putative targets for immunotherapy of myeloproliferative neoplasms. Blood 2019, 134, 199–210. [Google Scholar] [CrossRef] [Green Version]
  87. Peeken, J.C.; Jutzi, J.S.; Wehrle, J.; Koellerer, C.; Staehle, H.F.; Becker, H.; Schoenwandt, E.; Seeger, T.S.; Schanne, D.H.; Gothwal, M.; et al. Epigenetic regulation of NFE2 overexpression in myeloproliferative neoplasms. Blood 2018, 131, 2065–2073. [Google Scholar] [CrossRef] [Green Version]
  88. Lasho, T.L.; Mudireddy, M.; Finke, C.M.; Hanson, C.A.; Ketterling, R.P.; Szuber, N.; Begna, K.H.; Patnaik, M.M.; Gangat, N.; Pardanani, A.; et al. Targeted next-generation sequencing in blast phase myeloproliferative neoplasms. Blood Adv. 2018, 2, 370–380. [Google Scholar] [CrossRef] [Green Version]
  89. Milosevic, J.D.; Puda, A.; Malcovati, L.; Berg, T.; Hofbauer, M.; Stukalov, A.; Klampfl, T.; Harutyunyan, A.S.; Gisslinger, H.; Gisslinger, B.; et al. Clinical significance of genetic aberrations in secondary acute myeloid leukemia. Am. J. Hematol. 2012, 87, 1010–1016. [Google Scholar] [CrossRef] [Green Version]
  90. Ding, Y.; Harada, Y.; Imagawa, J.; Kimura, A.; Harada, H. AML1/RUNX1 point mutation possibly promotes leukemic transformation in myeloproliferative neoplasms. Blood 2009, 114, 5201–5205. [Google Scholar] [CrossRef] [Green Version]
  91. Ward, A.F.; Braun, B.S.; Shannon, K.M. Targeting oncogenic Ras signaling in hematologic malignancies. Blood 2012, 120, 3397–3406. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  92. Chan, I.T.; Kutok, J.L.; Williams, I.R.; Cohen, S.; Kelly, L.; Shigematsu, H.; Johnson, L.; Akashi, K.; Tuveson, D.A.; Jacks, T.; et al. Conditional expression of oncogenic K-ras from its endogenous promoter induces a myeloproliferative disease. J. Clin. Investig. 2004, 113, 528–538. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  93. You, X.; Kong, G.; Ranheim, E.A.; Yang, D.; Zhou, Y.; Zhang, J. Unique dependence on Sos1 in Kras (G12D)-induced leukemogenesis. Blood 2018, 132, 2575–2579. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  94. Cargo, C.; Cullen, M.; Taylor, J.; Short, M.; Glover, P.; Van Hoppe, S.; Smith, A.; Evans, P.; Crouch, S. The use of targeted sequencing and flow cytometry to identify patients with a clinically significant monocytosis. Blood 2019, 133, 1325–1334. [Google Scholar] [CrossRef] [Green Version]
  95. Belizaire, R.; Koochaki, S.H.J.; Udeshi, N.D.; Vedder, A.; Sun, L.; Svinkina, T.; Hartigan, C.; McConkey, M.; Kovalcik, V.; Bizuayehu, A.; et al. CBL mutations drive PI3K/AKT signaling via increased interaction with LYN and PIK3R1. Blood 2021, 137, 2209–2220. [Google Scholar] [CrossRef]
  96. Tefferi, A.; Lasho, T.L.; Guglielmelli, P.; Finke, C.M.; Rotunno, G.; Elala, Y.; Pacilli, A.; Hanson, C.A.; Pancrazzi, A.; Ketterling, R.P.; et al. Targeted deep sequencing in polycythemia vera and essential thrombocythemia. Blood Adv. 2016, 1, 21–30. [Google Scholar] [CrossRef] [Green Version]
  97. Gery, S.; Cao, Q.; Gueller, S.; Xing, H.; Tefferi, A.; Koeffler, H.P. Lnk inhibits myeloproliferative disorder-associated JAK2 mutant, JAK2V617F. J. Leukoc. Biol. 2009, 85, 957–965. [Google Scholar] [CrossRef] [Green Version]
  98. Sadler, B.; Chorzalska, A.D.; Bonal, D.M.; Haller, G.; Oakes, A.; Petersen, M.; Liu, Y.; Olszewski, A.; Reagan, J.L.; Egan, P.C.; et al. Whole Genome Sequencing Identifies a Recurrent Mutation in Complement Factor I (CFI) in Primary Myelofibrosis (PMF). Blood 2021, 138 (Suppl. S1), 1472. [Google Scholar] [CrossRef]
  99. Nakatake, M.; Monte-Mor, B.; Debili, N.; Casadevall, N.; Ribrag, V.; Solary, E.; Vainchenker, W.; Plo, I.J. AK2 V617F negatively regulates p53 stabilization by enhancing MDM2 via la expression in myeloproliferative neoplasms. Oncogene 2012, 31, 1323–1333. [Google Scholar] [CrossRef] [Green Version]
  100. Rampal, R.; Ahn, J.; Abdel-Wahab, O.; Nahas, M.; Wang, K.; Lipson, D.; Otto, G.A.; Yelensky, R.; Hricik, T.; McKenney, A.S.; et al. Genomic and functional analysis of leukemic transformation of myeloproliferative neoplasms. Proc. Natl. Acad. Sci. USA 2014, 111, e5401–e5410. [Google Scholar] [CrossRef] [Green Version]
  101. Harutyunyan, A.; Klampfl, T.; Cazzola, M.; Kralovics, R. p53 Lesions in Leukemic Transformation. N. Engl. J. Med. 2011, 364, 488–490. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  102. Kahn, J.D.; Miller, P.G.; Silver, A.J.; Sellar, R.S.; Bhatt, S.; Gibson, C.; McConkey, M.; Adams, D.; Mar, B.; Mertins, P.; et al. PPM1D-truncating mutations confer resistance to chemotherapy and sensitivity to PPM1D inhibition in hematopoietic cells. Blood 2018, 132, 1095–1105. [Google Scholar] [CrossRef] [PubMed]
  103. Grinfeld, J.; Nangalia, J.; Baxter, E.J.; Wedge, D.C.; Angelopoulos, N.; Cantrill, R.; Godfrey, A.L.; Papaemmanuil, E.; Gundem, G.; MacLean, C.; et al. Classification and Personalized Prognosis in Myeloproliferative Neoplasms. N. Engl. J. Med. 2018, 379, 1416–1430. [Google Scholar] [CrossRef] [PubMed]
  104. Milosevic Feenstra, J.D.; Nivarthi, H.; Gisslinger, H.; Leroy, E.; Rumi, E.; Chachoua, I.; Bagienski, K.; Kubesova, B.; Pietra, D.; Gisslinger, B.; et al. Whole-exome sequencing identifies novel MPL and JAK2 mutations in triple-negative myeloproliferative neoplasms. Blood 2016, 127, 325–332. [Google Scholar] [CrossRef]
  105. Rodriguez-Meira, A.; Buck, G.; Clark, S.-A.; Povinelli, B.J.; Alcolea, V.; Louka, E.; McGowan, S.; Hamblin, A.; Sousos, N.; Barkas, N.; et al. Unravelling Intratumoral Heterogeneity through High-Sensitivity Single-Cell Mutational Analysis and Parallel RNA Sequencing. Mol. Cell 2019, 73, 1292–1305.e8. [Google Scholar] [CrossRef] [Green Version]
  106. Jaiswal, S.; Fontanillas, P.; Flannick, J.; Manning, A.; Grauman, P.V.; Mar, B.G.; Lindsley, R.C.; Mermel, C.H.; Burtt, N.; Chavez, A.; et al. Age-related clonal hematopoiesis associated with adverse outcomes. N. Engl. J. Med. 2014, 371, 2488–2498. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  107. Bick, A.G.; Weinstock, J.S.; Nandakumar, S.K.; Fulco, C.P.; Bao, E.L.; Zekavat, S.M.; Szeto, M.D.; Liao, X.; Leventhal, M.J.; Nasser, J.; et al. Inherited causes of clonal haematopoiesis in 97,691 whole genomes. Nature 2020, 586, 763–768. [Google Scholar] [CrossRef]
  108. Zhao, L.-P.; Cazaux, M.; Maslah, N.; Daltro De Oliveira, R.; Verger, E.; Soret-Dulphy, J.; Marcault, C.; Parquet, N.; Dosquet, C.; Vainchenker, W.; et al. Myeloproliferative Neoplasms (MPN) Clonal Evolution Landscape and Its Impact on Patients’ Prognosis. Blood 2021, 138 (Suppl. S1), 317. [Google Scholar] [CrossRef]
  109. Rumi, E.; Passamonti, F.; Della Porta, M.G.; Elena, C.; Arcaini, L.; Vanelli, L.; Del Curto, C.; Pietra, D.; Boveri, E.; Pascutto, C.; et al. Familial chronic myeloproliferative disorders: Clinical phenotype and evidence of disease anticipation. J. Clin. Oncol. 2007, 25, 5630–5635. [Google Scholar] [CrossRef]
  110. Rumi, E.; Harutyunyan, A.S.; Pietra, D.; Feenstra, J.D.M.; Cavalloni, C.; Roncoroni, E.; Casetti, I.; Bellini, M.; Milanesi, C.; Renna, M.C.; et al. LNK mutations in familial myeloproliferative neoplasms. Blood 2016, 128, 144–145. [Google Scholar] [CrossRef] [Green Version]
  111. Hinds, D.A.; Barnholt, K.E.; Mesa, R.A.; Kiefer, A.K.; Do, C.B.; Eriksson, N.; Mountain, L.J.; Francke, U.; Tung, J.Y.; Nguyen, H.; et al. Germ line variants predispose to both JAK2 V617F clonal hematopoiesis and myeloproliferative neoplasms. Blood 2016, 128, 1121–1128. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  112. Dunbar, A.J.; Rampal, R.K.; Levine, R. Leukemia secondary to myeloproliferative neoplasms. Blood 2020, 136, 61–70. [Google Scholar] [CrossRef] [PubMed]
  113. Vannucchi, A.M.; Lasho, T.L.; Guglielmelli, P.; Biamonte, F.; Pardanani, A.; Pereira, A.; Finke, C.; Score, J.; Gangat, N.; Mannarelli, C.; et al. Mutations and prognosis in primary myelofibrosis. Leukemia 2013, 27, 1861–1869. [Google Scholar] [CrossRef] [PubMed]
  114. Paz, D.L.; Jouanneau-Courville, R.; Riou, J.; Ianotto, J.-C.; Boyer, F.; Chauveau, A.; Renard, M.; Chomel, J.-C.; Cayssials, E.; Gallego-Hernanz, M.-P.; et al. Leukemic evolution of polycythemia vera and essential thrombocythemia: Genomic profiles predict time to transformation. Blood Adv. 2020, 4, 4887–4897. [Google Scholar]
  115. Theocharides, A.; Boissinot, M.; Girodon, F.; Garand, R.; Teo, S.-S.; Lippert, E.; Talmant, P.; Tichelli, A.; Hermouet, S.; Skoda, R.C. Leukemic blasts in transformed JAK2-V617F-positive myeloproliferative disorders are frequently negative for the JAK2-V617F mutation. Blood 2007, 110, 375–379. [Google Scholar] [CrossRef] [Green Version]
  116. Kong, T.; Laranjeira, A.B.; Yang, K.; Fisher, D.A.; Yu, L.; Wang, A.Z.; Ruzinova, M.B.; Fowles, J.S.; Allen, M.J.; Celik, H.; et al. DUSP6 Mediates Resistance to JAK2 Inhibition and Drives Myeloproliferative Neoplasm Disease Progression. Blood 2021, 138 (Suppl. S1), 55. [Google Scholar] [CrossRef]
  117. Patel, K.P.; Newberry, K.J.; Luthra, R.; Jabbour, E.; Pierce, S.; Cortes, J.; Singh, R.; Mehrotra, M.; Routbort, M.J.; Luthra, M.; et al. Correlation of mutation profile and response in patients with myelofibrosis treated with ruxolitinib. Blood 2015, 126, 790–797. [Google Scholar] [CrossRef] [Green Version]
  118. Tefferi, A.; Guglielmelli, P.; Larson, D.R.; Finke, C.; Wassie, E.A.; Pieri, L.; Gangat, N.; Fjerza, R.; Belachew, A.A.; Lasho, T.; et al. Long-term survival and blast transformation in molecularly annotated essential thrombocythemia, polycythemia vera, and myelofibrosis. Blood 2014, 124, 2507–2513. [Google Scholar] [CrossRef]
  119. Tefferi, A.; Guglielmelli, P.; Lasho, T.L.; Coltro, G.; Finke, C.M.; Loscocco, G.G.; Sordi, B.; Szuber, N.; Rotunno, G.; Pacilli, A.; et al. Mutation-enhanced international prognostic systems for essential thrombocythaemia and polycythaemia vera. Br. J. Haematol. 2020, 189, 291–302. [Google Scholar] [CrossRef]
  120. Guglielmelli, P.; Gangat, N.; Coltro, G.; Lasho, T.L.; Loscocco, G.G.; Finke, C.M.; Morsia, E.; Sordi, B.; Szuber, N.; Hanson, C.A.; et al. Mutations and thrombosis in essential thrombocythemia. Blood Cancer J. 2021, 11, 77. [Google Scholar] [CrossRef]
  121. Alvarez-Larrán, A.; Bellosillo, B.; Pereira, A.; Kerguelen, A.; Hernández-Boluda, J.C.; Martínez-Avilés, L.; Fernández-Rodríguez, C.; Gómez, M.; Lombardía, L.; Angona, A.; et al. JAK2V617F monitoring in polycythemia vera and essential thrombocythemia: Clinical usefulness for predicting myelofibrotic transformation and thrombotic events. Am. J. Hematol. 2014, 89, 517–523. [Google Scholar] [CrossRef] [PubMed]
  122. Tefferi, A.; Guglielmelli, P.; Nicolosi, M.; Mannelli, F.; Mudireddy, M.; Bartalucci, N.; Finke, C.M.; Lasho, T.L.; Hanson, C.A.; Ketterling, R.P.; et al. GIPSS: Genetically inspired prognostic scoring system for primary myelofibrosis. Leukemia 2018, 32, 1631–1642. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  123. Kuykendall, A.T.; Talati, C.; Padron, E.; Sweet, K.; Sallman, D.; List, A.F.; Lancet, J.E.; Komrokji, R.S. Genetically inspired prognostic scoring system (GIPSS) outperforms dynamic international prognostic scoring system (DIPSS) in myelofibrosis patients. Am. J. Hematol. 2019, 94, 87–92. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  124. Gagelmann, N.; Ditschkowski, M.; Bogdanov, R.; Bredin, S.; Robin, M.; Cassinat, B.; Shahswar, R.; Thol, F.; Heuser, M.; Socié, G.; et al. Comprehensive clinical-molecular transplant scoring system for myelofibrosis undergoing stem cell transplantation. Blood 2019, 133, 2233–2242. [Google Scholar] [CrossRef]
  125. Coltro, G.; Guglielmelli, P.; Rotunno, G.; Mannarelli, C.; Maccari, C.; Salvadori, C.; Vanderwert, F.I.; Mannelli, F.; Salvati, C.; Vannucchi, A. Mutation Landscape and Prognostic Correlates of ASXL1 Variants in Primary and Secondary Myelofibrosis. Blood 2021, 138 (Suppl. S1), 2578. [Google Scholar] [CrossRef]
  126. Mascarenhas, J.; Mehra, M.; He, J.; Potluri, R.; Loefgren, C. Patient characteristics and outcomes after ruxolitinib discontinuation in patients with myelofibrosis. J. Med. Econ. 2020, 23, 721–727. [Google Scholar] [CrossRef]
  127. Newberry, K.J.; Patel, K.; Masarova, L.; Luthra, R.; Manshouri, T.; Jabbour, E.; Newberry, K.J.; Patel, K.; Masarova, L.; Luthra, R.; et al. Clonal evolution and outcomes in myelofibrosis after ruxolitinib discontinuation. Blood 2017, 130, 1125–1131. [Google Scholar] [CrossRef] [Green Version]
  128. Mullally, A.; Hood, J.; Harrison, C.; Mesa, R. Fedratinib in myelofibrosis. Blood Adv. 2020, 4, 1792–1800. [Google Scholar] [CrossRef]
  129. Tefferi, A.; Barraco, D.; Lasho, T.L.; Shah, S.; Begna, K.H.; Al-Kali, A.; Hogan, W.J.; Litzow, M.R.; Hanson, C.A.; Ketterling, R.P.; et al. Momelotinib therapy for myelofibrosis: A 7-year follow-up. Blood Cancer J. 2018, 8, 4–8. [Google Scholar] [CrossRef]
  130. Mascarenhas, J.; Hoffman, R.; Talpaz, M.; Gerds, A.T.; Stein, B.; Gupta, V.; Szoke, A.; Drummond, M.; Pristupa, A.; Granston, T.; et al. Pacritinib vs best available therapy, including ruxolitinib, in patients with myelofibrosis: A randomized clinical trial. JAMA Oncol. 2018, 4, 652–659. [Google Scholar] [CrossRef]
  131. Stivala, S.; Codilupi, T.; Brkic, S.; Baerenwaldt, A.; Ghosh, N.; Hao-Shen, H.; Dirnhofer, S.; Dettmer, M.S.; Simillion, C.; Kaufmann, B.A.; et al. Targeting compensatory MEK/ERK activation increases JAK inhibitor efficacy in myeloproliferative neoplasms. J. Clin. Investig. 2019, 129, 1596–1611. [Google Scholar] [CrossRef] [PubMed]
  132. Truong, B.; Zhang, Y.; Fahl, S.; Cai, K.Q.; Martinez, E.; Al-Saleem, E.D.; Gong, Y.; Liebermann, D.; Soboloff, J.; Dunbrack, R.; et al. ERK2 Substrate Binding Domains Perform Opposing Roles in Pathogenesis of a JAK2V617F-Driven Myeloproliferative Neoplasm. Blood 2021, 138 (Suppl. S1), 2547. [Google Scholar] [CrossRef]
  133. Gurska, L.M.; Okabe, R.; Tong, M.M.; Choi, D.; Ames, K.; Glushakow-Smith, S.; Montoya, A.; Tein, E.; Cheng, H.; Goel, S.; et al. RON Kinase Is a Novel Therapeutic Target for Philadelphia-Negative Myeloproliferative Neoplasms. Blood 2021, 138 (Suppl. S1), 1462. [Google Scholar] [CrossRef]
  134. Mylonas, E.; Yoshida, K.; Frick, M.; Hoyer, K.; Christen, F.; Kaeda, J.; Obenaus, M.; Noerenberg, D.; Hennch, C.; Chan, W.; et al. Single-cell analysis based dissection of clonality in myelofibrosis. Nat. Commun. 2020, 11, 73. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  135. Tremblay, D.; Mascarenhas, J. Next Generation Therapeutics for the Treatment of Myelofibrosis. Cells 2021, 10, 1034. [Google Scholar] [CrossRef]
  136. Bose, P.; Verstovsek, S. Management of myelofibrosis after ruxolitinib failure. Ann. Hematol. 2020, 99, 1177–1191. [Google Scholar] [CrossRef]
  137. Morsia, E.; Gangat, N. Myelofibrosis: Challenges for preclinical models and emerging therapeutic targets. Expert Opin. Targets 2021, 25, 211–222. [Google Scholar] [CrossRef]
  138. Miyauchi, M.; Sasaki, K.; Kagoya, Y.; Taoka, K.; Masamoto, Y.; Yamazaki, S.; Arai, S.; Mizuno, H.; Kurokawa, M. CAMK2G is identified as a novel therapeutic target for myelofibrosis. Blood Adv. 2022, 6, 1585–1597. [Google Scholar] [CrossRef]
  139. Pronier, E.; Cifani, P.; Merlinsky, T.R.; Berman, K.B.; Somasundara, A.V.H.; Rampal, R.K.; LaCava, J.; Wei, K.E.; Pastore, F.; Maag, J.L.V.; et al. Targeting the CALR interactome in myeloproliferative neoplasms. JCI Insight 2018, 3, e122703. [Google Scholar] [CrossRef]
  140. Kihara, Y.; Araki, M.; Imai, M.; Mori, Y.; Horino, M.; Ogata, S.; Yoshikawa, S.; Taguchi, T.; Masubuchi, N.; Mabuchi, Y.; et al. Therapeutic Potential of an Antibody Targeting the Cleaved Form of Mutant Calreticulin in Myeloproliferative Neoplasms. Blood 2020, 136 (Suppl. S1), 9–10. [Google Scholar] [CrossRef]
Figure 1. Signaling pathways involved in the pathogenesis of MPNs. The complexity of MF disease biology, involving intracelluar proliferative pathways, epigenetic events, HSC maintenance, differentation, and survival mechanisms, leads to the development of different therapeutic approaches.
Figure 1. Signaling pathways involved in the pathogenesis of MPNs. The complexity of MF disease biology, involving intracelluar proliferative pathways, epigenetic events, HSC maintenance, differentation, and survival mechanisms, leads to the development of different therapeutic approaches.
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Table 1. Frequencies of additional somatic mutations in MPN.
Table 1. Frequencies of additional somatic mutations in MPN.
ClassMutated GenesFrequency (%)
ETPVPMFBlast Phase
Epigenetic regulationDNMT3A0–90–73–152–14
TET27–1619–2210–1819–28
IDH1/IDH2120–619–31
ASXL11–113–1218–3717–47
EZH21–30–30–913–15
Messenger RNA splicingSRSF2238–1813–22
U2AF11<1165–6
SF3B1539–104–7
ZRSR235102
Transcriptional regulationNFE2<12–30–3<1
RUNX10–20–23–44–13
SignalingNRAS/KRAS<10–13–47–15
PTPN110–2<10–26–8
CBL0–10–20–64
LNK (SH2B3)1–30–90–611
DNA repairTP532–611–311–36
PPM1D211NA
MPN: myeloproliferative neoplasms; ET: essential thrombocytemia; PV: polycythemia vera; PMF: primary myelofibrosis.
Table 2. Prognostic scores in PMF and secondary MF with clinical and molecular feature.
Table 2. Prognostic scores in PMF and secondary MF with clinical and molecular feature.
Prognostic Score Variables (Points)Risk Categories (Median OS, Years)
MIPSS70Hemoglobin < 10 g/dL (1)
Blasts >2% (1)
Constitutional symptoms (1)
Leukocytes > 25 × 10*9/L (2)
Platelet < 100 × 10*9/L (2)
Bone marrow fibrosis ≥ 2 (1)
Non type-1 CALR (1)
HMR = 1 (1)
HMR ≥ 2 (2)
0–1: Low (27.7)
2–4: Intermediate (7.1)
5–12: High (2.3)
MIPSS70+Hemoglobin < 10 g/dL (1)
Blasts >2% (1)
Constitutional symptoms (1)
Non type-1 CALR (2)
HMR = 1 (1)
HMR ≥ 2 (2)
Unfavourable karyotype (3)
0–2: Low (20.0)
3: Intermediate (6.3)
4–6: High (3.9)
7–11: Very high (1.7)
MIPSS70+ v2.0Hemoglobin <8–10 g/dL (1)
Hemoglobin < 8 g/dL (2)
Blasts >2% (1)
Constitutional symptoms (2)
Non type-1 CALR (2)
HMR+ U2AF1Q157 = 1 (2)
HMR+ U2AF1Q157 ≥ 2 (3)
HR karyotype (3)
VHR karyotype (4)
0: Very low (Not reached)
1–2: Low (10.3)
3–4: Intermediate (7)
5–8: High (3.5)
9–14: Very high (1.8)
GIPSSNon type-1 CALR (1)
ASXL1 mutated (1)
SRSF2 mutated (1)
U2AF1Q157 (1)
HR karyotype (1)
VHR karyotype (2)
0: Low (26.4)
1: Intermediate-1 (8)
2: Intermediate-2 (4.2)
3–6: High (2)
MYSEC-PMHemoglobin < 11 g/dL (1)
Blasts >3% (1)
Constitutional symptoms (2)
Platelet < 150 × 10*9/L (1)
Age at secondary MF (0.15 point/year)
CALR unmutated (2)
<11: Low (Not reached)
11-<14: Intermediate-1 (9.3)
14-<16: Intermediate-2 (4.4)
≥ 16: High (2)
MTSSLeukocytes > 25 × 10*9/L (1)
Platelet < 150 × 10*9/L (1)
Karnofsky performance status <90% (1)
Age ≥ 57 years (1)
HLA-mismatched unrelated donor (2)
Non CALR/MPL mutations (2)
ASXL1 mutated (1)
0–2: Low (5-years overall survival 83%)
3–4: Intermediate (5-years overall survival 64%)
5: High (5-years overall survival 37%)
6–9: Very high (5-years overall survival 22%)
PMF: primary myelofibrosis, MF: myelofibrosis; MIPSS, Mutation-Enhanced International Prognostic Scoring System; GIPSS, Genetically Inspired Prognostic Scoring System; MYSEC-PM, Myelofibrosis Secondary to PV and ET-Prognostic Model; MTSS, Myelofibrosis Transplant Scoring System. HMR: high molecular risk, include ASXL1, SRSF2, EZH2, IDH1/2; Unfavorable karyotype: any abnormal karyotype other than normal karyotype or sole abnormalities of 20q2, 13q2, +9, chromosome 1 translocation/duplication, -Y or sex chromosome abnormality other than -Y; HR (High risk) karyotype: all the abnormalities that are not VHR and favorable. Favorable karyotype: normal karyotype or sole abnormalities of 20q−, 13q−, +9, chromosome 1 translocation/duplication or sex chromosome abnormality including-Y. Very high risk (VHR) karyotype: single or multiple abnormalities of −7, inv (3), i (17q), 12p−, 11q−, and autosomal trisomies other than +8 or +9.
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Morsia, E.; Torre, E.; Poloni, A.; Olivieri, A.; Rupoli, S. Molecular Pathogenesis of Myeloproliferative Neoplasms: From Molecular Landscape to Therapeutic Implications. Int. J. Mol. Sci. 2022, 23, 4573. https://doi.org/10.3390/ijms23094573

AMA Style

Morsia E, Torre E, Poloni A, Olivieri A, Rupoli S. Molecular Pathogenesis of Myeloproliferative Neoplasms: From Molecular Landscape to Therapeutic Implications. International Journal of Molecular Sciences. 2022; 23(9):4573. https://doi.org/10.3390/ijms23094573

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Morsia, Erika, Elena Torre, Antonella Poloni, Attilio Olivieri, and Serena Rupoli. 2022. "Molecular Pathogenesis of Myeloproliferative Neoplasms: From Molecular Landscape to Therapeutic Implications" International Journal of Molecular Sciences 23, no. 9: 4573. https://doi.org/10.3390/ijms23094573

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