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. 2015 Nov 13;5(11):e366. doi: 10.1038/bcj.2015.95

Blast transformation and fibrotic progression in polycythemia vera and essential thrombocythemia: a literature review of incidence and risk factors

S Cerquozzi 1, A Tefferi 1,*
PMCID: PMC4670948  PMID: 26565403

Abstract

Polycythemia vera (PV) and essential thrombocythemia (ET) constitute two of the three BCR-ABL1-negative myeloproliferative neoplasms and are characterized by relatively long median survivals (approximately 14 and 20 years, respectively). Potentially fatal disease complications in PV and ET include disease transformation into myelofibrosis (MF) or acute myeloid leukemia (AML). The range of reported frequencies for post-PV MF were 4.9–6% at 10 years and 6–14% at 15 years and for post-ET MF were 0.8–4.9% at 10 years and 4–11% at 15 years. The corresponding figures for post-PV AML were 2.3–14.4% at 10 years and 5.5–18.7% at 15 years and for post-ET AML were 0.7–3% at 10 years and 2.1–5.3% at 15 years. Risk factors cited for post-PV MF include advanced age, leukocytosis, reticulin fibrosis, splenomegaly and JAK2V617F allele burden and for post-ET MF include advanced age, leukocytosis, anemia, reticulin fibrosis, absence of JAK2V617F, use of anagrelide and presence of ASXL1 mutation. Risk factors for post-PV AML include advanced age, leukocytosis, reticulin fibrosis, splenomegaly, abnormal karyotype, TP53 or RUNX1 mutations as well as use of pipobroman, radiophosphorus (P32) and busulfan and for post-ET AML include advanced age, leukocytosis, anemia, extreme thrombocytosis, thrombosis, reticulin fibrosis, TP53 or RUNX1 mutations. It is important to note that some of the aforementioned incidence figures and risk factor determinations are probably inaccurate and at times conflicting because of the retrospective nature of studies and the inadvertent labeling, in some studies, of patients with prefibrotic primary MF or ‘masked' PV, as ET. Ultimately, transformation of MPN leads to poor outcomes and management remains challenging. Further understanding of the molecular events leading to disease transformation is being investigated.

Introduction

Myeloproliferative neoplasms (MPN) are hematopoietic stem cell malignancies characterized by clonal proliferation of myeloid-lineage cells. The four popular (also known as ‘classic') MPN are chronic myeloid leukemia, polycythemia vera (PV), essential thrombocythemia (ET) and primary myelofibrosis (PMF).1 PV, ET and PMF are operationally referred to as BCR-ABL1-negative MPN and are characterized by recurrent JAK2, calreticulin (CALR) or myeloproliferative leukemia virus oncogene (MPL) mutations.

In a recently published study with mature survival data, life-expectancy was significantly compromised in all three BCR-ABL1-negative MPN and median survivals for PV and ET were reported at approximately 14 and 20 years, respectively, and in those <60 years of age at 24 and 30 years.2 The International Working Group for MPN Research and Treatment (IWG-MRT) have identified thrombosis history, leukocytosis and advanced age as independent risk factors for overall survival in both PV and ET (Table 1).3, 4 Disease-related complications affecting survival in both PV and ET include thrombohemorrhagic events and disease transformation into myelofibrosis (MF) or acute leukemia, also known as ‘blast phase (BP)' disease. The latter is often in the form of acute myeloid leukemia (AML) although cases of lymphoblastic transformation have been reported.5, 6, 7 Post-MPN AML has dismal prognosis with median survival of <6 months and long-term remissions can only be achieved through allogeneic stem cell transplant.8, 9 Here we review the reported rates of both fibrotic and leukemic transformation (LT) in PV and ET and the risk factors associated with disease progression.

Table 1. Predicting long-term outcomes for patients with polycythemia vera and essential thrombocythemia.

  PV ET
Overall survival (years) 13.5–24 11–22.6
     
Leukemic transformation (median time in years) 4.6–19 6.3–14.5
 Cumulative risks 0.2–0.3% at 5 years
  2.3–14.4% at 10 years 0.7–3% at 10 years
  5.5–18.7% at 15 years 2.1–5.3% at 15 years
  7.9–17% at 20 years 8.1% at 20 years
     
Myelofibrosis transformation (median time in years) 8.5–20 7.3–16
 Cumulative risks 0.1–1% at 5 years
  4.9–6% at 10 years 0.8–4.9% at 10 years
  6–14% at 15 years 4–11% at 15 years
  26% at 20 years 19.9% at 20 years
     
Risk algorithms IWG-MRT3—to predict overall survival IPSET4—to predict survival and occurrence of thrombosis
 
Risk factors
 Age ⩾67 (5 pts) vs 57–66 (2 pts) ⩾60 (2 pts)
 WBC ⩾15 × 109/l (1 pt) ⩾11 × 109/l (1 pt)
 Thrombosis Venous thrombosis (1 pt) Yes (1 pt)
 
Category
 Low risk 0 pts 0 pts
 Intermediate risk 1–2 pts 1–2 pts
 High risk ⩾3 pts 3–4 pts
 
Survival (years)
 Low risk 26 NR
 Intermediate risk 15 24.5
 High risk 8.3 13.8

Abbreviations: ET, essential thrombocythemia; IWG-MRT, International Working Group for MPN Research and Treatment; IPSET, International Prognostic Score for essential thrombocythemia; NR, not reported; pt/pts, patient/patients; PV, polycythemia vera; WBC, white blood cell.

Post-polycythemia vera myelofibrosis (post-PV MF)

Post-PV MF represents a natural evolution of PV and is defined based on IWG-MRT consensus criteria requiring a history of a World Health Organization (WHO)-diagnosed PV and bone marrow fibrosis grade ⩾2 (3-point scale) or ⩾3 (4-point scale). At least two of the following features must also be present: anemia or sustained loss of need for phlebotomy and/or cytoreductive therapy, a leukoerythroblastic peripheral smear, splenomegaly and one or more constitutional symptoms.10 Less than 10% of PV patients evolve into MF within their first decade with reported incidences shown in Table 2 ranging from 2.3% to 23%.2, 3, 7, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 The cumulative incidence of MF evolution is 5–14% at 15 years.7, 11, 17 Interestingly, a recent cohort of Chinese PV patients demonstrated significantly higher 10-, 15- and 20-year incidences of post-PV MF at 27.4, 39.9 and 61.1%, which may suggest that this population of patients are at higher risk of fibrotic transformation.20 Ultimately, transformation to MF shortens PV survival rates (hazards ratio (HR)=2.17; confidence interval (CI): 1.27–3.72, P=0.005), after adjusting for prognostic factors such as age, white blood cell count, hemoglobin level, platelet count and spleen size.21 Older age (⩾60 years) and leukocytosis (>10 or 15 × 109/l) increases the risk for post-PV MF evolution.14, 21, 22 Based on both retrospective and prospective studies, median time to MF transformation is 8.5–20 years from time of diagnosis.2, 7, 11, 14, 17, 18, 19 PV patients ⩽45 years have a longer median time to MF transformation of 20 years compared with transforming in a median 8 years for patients who are ⩾65 years.18 In a large prospective multicentered cohort of 1638 PV patients, 38 (2%) transformed to MF whereby greater duration of disease impacted transformation rates. PV patients with a disease course of 6–10 years had a relative risk of fibrotic transformation of 5.74; 95% CI, 1.51–21.77 and while disease duration >10 years resulted in relative risk of 15.24; 95% CI, 4.22–55.06; P<0.0001.13 Additional risk factors for post-PV MF include: presence of baseline bone marrow fibrosis, JAK2V617 allele burden, splenomegaly, thrombocytosis (platelet count >550 × 109/l) and the presence of a ‘masked PV' phenotype (display PV-characteristic BM morphology but lower hemoglobin levels than WHO criteria targets).15, 16, 20, 23, 24, 25 Once transformed to post-PV MF, median survival is drastically shortened to 5.7 years.21 Passamonti et al.21 developed a dynamic prognostic model for patients who developed post-PV MF based on three independent risk factors: hemoglobin <100 g/l, platelet count <100 × 109/l, and leukocyte count >30 × 109/l. The presence of any of these risk factors results in a 4.2-fold increased risk of death. Anemia, at the time of MF transformation, leads to significant differences in survival of 6.6 versus 1.9 years for patients with hemoglobin ⩾100 g/l compared with <100 g/l, respectively (P<0.001).21 Similarly, among a Chinese cohort, anemia (hemoglobin <100 g/l) and age >65 years significantly predicted worse outcomes, resulting in a 5-year survival rate of only 17.3% (median 3 years) in post-PV MF patients with both risk factors.20

Table 2. Studies evaluating outcomes in polycythemia vera.

  Kiladjian et al.7 Passamonti et al.11 Finazzi et al.12 Marchioli et al.13 Gangat et al.14 Passamonti et al.15 Abdulkarim et al.16 Tefferi et al.3 Bonicelli et al.17 Stein et al.18 Sever et al.19 Tefferi et al.2 Bai et al.20
N 164 396 1638 1638 459 320 150 1545 327 204 133 267 (Mayo) 310 (Italy) 272
Median F/U (years) 11.4 9.6 2.8 2.7 5.3 3.2 15 6.9 11 8 (age ⩽45 years) 4.5 (age ⩾65 years) 7.5 11.8 11.1 6
 
MF
N 14 (8.5%) 5.1 (3.3–7.8)a NR 38 (2.3%) 54 (12%) 8 (2.5%) 13 (8.5%) 138 (9%) 37 (11%) 26 (12.7%) 11 (8%) 34 (12.7%) 65 (21%) 63 (23%)b
 Median time to MF from Dx (years): 12.5 13 NR NR 10.5 NR NR NR 9.6 20 (age ⩽45 years) 8 (age ⩾65 years) 8.5c 9.6 NR
 Risk factors None Sequential use of ⩾2 myelosuppressive agents compared with Pipobroman NR Disease duration >10 years Age ⩾60 years JAK2V617F allele burden ⩾50% Splenomegaly Reticulin grading NR None Median age at MF Dx None None Splenomegaly Plt>550 × 109/l JAK2V617F allele burden ⩾50%
 
Leukemia
N 32 (19.5%) 5.3 (3.5-8)a 22 (1.3%) 21 (1.3%) 34 (7.4%) 10 (3%) 13 (8.5%) 50 (3%) 30 (9.2%) 7 (3%) 4 (3%) 18 (6.7%) 10 (3.2%) 6.6 (3.7-10.8)d
 Median time to LT from Dx (years): 9.6 14 8.4 NR 10.5 NR NR 10.8 4.6 19 (age ⩽45 years) 7 (age ⩾65 years) 8.5c NR NR
 Risk factors WBC⩾10 × 109/l Sequential use of ⩾2 myelosuppressive agents compared with HU or Pipobroman Age ⩾70 years P32 Busulphan Pipobroman Cytoreductive drug alone or in combo Low cholesterol (⩽150 mg/dl) Age ⩾70 years Cytoreductive agents other than HU or IFN WBC⩾10 × 109/l WBC⩾15 × 109/l None Splenomegaly Reticulin grading Age >61 years WBC ⩾15 × 109/l Abnormal karyotype P32/CMB alone Pipobroman Female None None None Plt<100 × 109/l
                           
Median Survival (years): 15.5 20 NR NRe 22.7 NR NRf 18.9g 17.5 (age <65 years) 6.4 (age ⩾65 years)h NR 24 13.5i NRj
Risk factors Age ⩾60 years WBC⩾10 × 109/l Thrombosis NR Age >65 years Thrombosis Age ⩾60 years WBC⩾15 × 109/l Arterial thrombosis Age ⩾60 years Splenomegaly Age >61 years WBC⩾15 × 109/l Thrombosis Abnormal karyotype Pruritusk Age >70 years WBC>13 × 109/l Thrombosis NR None Age <60 years Age >65 years WBC>25 × 109/l Thrombosis

Abbreviations: CMB, chlorambucil; Dx, diagnosis; HU, hydroxyurea; IFN, interferon; LT, leukemic transformation; MF, myelofibrosis; NR, not reported; WBC, white blood cell.

a

Incidence per 1000 person-years (95% CI).

b

Incidence of 31 (95% CI=24.12–40.16) per 1000 person/year.

c

Median time to leukemic or myelofibrotic transformation.

d

Incidence rate per 1000 person/year with 19% leukemic transformation from post-PV MF population (n=63).

e

Overall mortality rate of 3.7 per 100 persons per year.

f

Median overall survival 40% at 10 years.

g

Median overall survival 14.1 years based on most mature follow-up cohort (n=337).

h

Median overall survival 72% at 10 years.

i

Based on Mayo cohort.

j

83% median overall survival at 10 years.

k

Favorable risk factor.

Post-polycythemia vera acute myeloid leukemia

Based on large multicenter PV patient data, rates of LT in PV are estimated at 2.3% at 10 years, 5.5% at 15 years and remain <10% at 20 years.2, 3 Higher cumulative incidence rates or actuarial risks of LT of 8–14% at 10 years, 14–19% at 15 years and up to 24% at 18 years have been reported in smaller studies.7, 17 As outlined in Table 2, LT typically occurs within a median time of 4.6–19 years from initial PV diagnosis.2, 3, 7, 11, 12, 14, 17, 18, 19 Younger patients (⩽45 years) transform to leukemia at a median time of 19 years compared with 7 years for patients aged >65 years, but the difference is not statistically significant (P=0.37). Rates of both MF and LT transformation occur at the same frequency between age groups (15% versus 10%, P=0.29), although, as expected, leukemic development contributed to more deaths in older patients.18 Factors influencing leukemic-free survival included: age (>61 years3 or ⩾70 years),12, 13 leukocytosis (⩾10 × 109/l or ⩾15 × 109/l),3, 7, 14 abnormal karyotype,3 splenomegaly, and bone marrow reticulin grade.16 In the two largest prospective studies including >1500 PV patients, age >61 years (HR 6.3; 95% CI, 1.2–13.1, P=0.03)3 or >70 years (HR 4.30; 95% CI, 1.16–15.94, P=0.0294)12 and leukocytosis ⩾15 × 109/l (HR of 3.9; 95% CI, 1.3–11.6, P=0.0004) adversely impacted LT risk.3 Female sex was a risk factor in a single study by Finazzi et al.12 Lower cholesterol levels (⩽150 mg/dl) has been linked to AML/myelodysplastic syndrome (MDS) transformation (HR 6.58; 95% CI, 2.08–20.86, P=0.0014) and is seen in advanced stages of proliferative disease possibly representing a marker of disease activity.12, 26 Multiple treatment regimens have also been linked to leukemic risk and will be discussed in greater detail below. Multivariate analysis has shown association of alkylating agents (pipobroman, P32, chlorambucil) and leukemia.3, 11, 12, 13 In particular, exposure to P32, busulphan and pipobroman either alone or in combination has been linked to higher LT (HR of 5.46; 95% CI, 1.84–16.25, P=0.0023), with no LT risk associated with hydroxyurea (HU) usage alone (HR 0.86, 95% CI, 0.26–2.88, P=0.8021).12 HU remains a standard cytoreduction therapy in PV, and it is important to recognize that HU resistance increases both LT and MF transformation risk (HR 6.8; 95% CI, 3.0–15.4%, P<0.001), whereas HU intolerance has no direct effect on outcomes.27

Post-essential thrombocythemia myelofibrosis (post-ET MF)

Post-ET MF is defined based on IWG-MRT consensus criteria requiring a previously documented WHO diagnosis of ET and the presence of bone marrow fibrosis (grade ⩾2 on a 3-point scale or ⩾3 on a 4-point scale). Two or more additional features are needed, including: anemia (with a ⩾2 mg/l decrease from baseline), leukoerythroblastic peripheral blood findings, splenomegaly, elevated lactate dehydrogenase and ⩾1 constitutional symptoms.10 Transformation to MF is less frequent in ET than PV and occurs late during the course of the disease.11, 22, 28 In larger cohort studies, the cumulative risk of post-ET MF is 3.9% at 10 years (incidence of 3.7 × 1000 person-years) and as high as 9.3% at 15 years. Table 3 summarizes rates of transformation among ET patients. Cumulative probabilities of fibrotic progression have been reported as 19.9% (5.6–12.6%) at 20 years.28 Overall, the median time to myelofibrotic transformation is approximately 7–16 years from time of ET diagnosis.11, 28, 29, 30, 31, 32, 33 The variation of cumulative incidence rates of transformation in ET are attributed to discrepancies in diagnosis, in particular, distinguishing between primary ET and prefibrotic MF. Barbui et al.34 compared the outcomes between confirmed ET and prefibrotic MF patients and identified that progression to overt MF at 10 and 15 years was 0.8% and 9.3%, compared with 12.3% and 16.9%, respectively. This correlates to a lower incidence of transformation of 0.5 per 100 patient-year in ET.34 Risk factors for MF transformation include: age,34 anemia,16, 22, 30, 34 and bone marrow histopathology, including hypercellularity and increased reticulin.16, 33, 34 The influence of molecular markers such as JAK2V617F will be discussed in detail below. Additional studies have found that increased serum lactate dehydrogenase, increased leukocytosis and male gender are risks for myelofibrotic transformation.16, 30, 33

Table 3. Studies evaluating outcomes in essential thrombocythemia.

  Passamonti et al.11 Chim et al.29 Wolanskyj et al.28 Gangat et al.37 Passamonti et al.30 Palandri et al.31 Girodon et al.35 Abdulkarim et al.16 Barbui et al.34 Malak et al.32 Tefferi et al.2
N 435 231 322 605 605 386 311 130 891 105 292 (Mayo) 284 (Italy)
Median F/U (years) 9.3 NR 13.6 7 5.6 9.5 9.5 15 6.2 7.5 17.3 10.7
 
MF
N 1.6 (0.8–3.4)a 7 (3%) NRb NR 17 (2.8%) 20 (5%) NR 7 (5%) 32 (4%) 12 (13%) 29 (9.9%) 26 (9.2%)
 Median time to MF from Dx (years) 10.9 8 12.4 NR 9.1 7.25 NR NR NR 16 NR
 Risk factors NR NR None NR Anemiac Sequential use of cytotoxic drugs NR Anemia Leukocytosis Reticulin BM cellularity BM histology Age >60 years Hgb<120 g/l Absent JAK2V617F None MPL mutated
 
Leukemia
N 1.2 (0.5–2.8)a 4 (1.7%) NRd 20 (3.3%) 14 (2.3%) 6 (1.5%) 18 (5.8%) 11 (8%) 8 (1%) 7 (10%) 12 (4.1%) 4 (1.4%)
 Median time to LT from Dx (years) 14.5 10 13.8 11.5 11 8.5 6.3 NR NR 7.4 NR
 Risk factors None Previous MF Melphalan WBC>11 × 109/l None Anemiae Plts ⩾1000 × 109/l Age (continuous variable) Age >60 years Sequential use of cytotoxic drugs None Anemia Leukocytosis Reticulin BM cellularity BM histology Thrombosis Plts>1000 × 109/l None None
                       
Median survival (years) 22.6 13 18.9 18 22.3 NR 11 NRf 14.7 NRg 19.8h
Risk factors Thrombosis Male Age >60 years Age ⩾60 years WBC⩾15 × 109/l Tobacco use DM Age ⩾60 years WBC⩾15 × 109/l Anemiae Thrombosis DM Smoking Age >60 years Thrombosis Age ⩾60 years WBC⩾15 × 109/l HTN DM Thrombosis Age >60 years WBC>11 × 109/l Anemia Anemia Age >60 years WBC>11 × 109/l Hgb <120 g/l Thrombosis BM histology NR Age ⩾60 years

Abbreviations: BM, bone marrow; DM, diabetes mellitus; Dx, diagnosis; HTN, hypertension; HU, hydroxyurea; LT, leukemic transformation; MF, myelofibrosis; NR, not reported; Plts, platelets; WBC, white blood cell.

a

Incidence per 1000 person-years (95% CI).

b

3.8% cumulative probability of MF transformation at 10 years (95% CI=1.4–6.1).

c

Hgb<125 g/l in females, <135 g/l in males.

d

1.4% 10-year cumulative probability of AML transformation (95% CI=0–3).

e

Hgb<120 g/l in females, <135 g/l in males.

f

Overall survival 58% at 10 years.

g

Overall survival 83% at 10 years.

h

Based on Mayo cohort.

Post-essential thrombocythemia acute myeloid leukemia

Earlier cohort studies of ET patients indicate that LT occurs at an incidence of 3 × 1000 person-years, with a cumulative risk of 2.6% at 10 years and 5.3% at 15 years.30 Higher rates of transformation have been found in French, Spanish and Chinese studies, with 10-year rates of 8.3–9.7%.29, 35, 36 Conversely, much lower rates of LT have been identified as <1% at 10 years and 2% in 15 years.11, 34 Again, this variability in findings has largely been attributed to discrepancies in morphological diagnosis between ET and prefibrotic PMF related to modifications in the 2001 WHO classification of ET to prefibrotic MF. Accordingly, Barbui et al.34 confirmed ET in 891 patients based on the revised WHO criteria and found lower LT risks of 0.7% at 10 years and 2.1% at 15 years compared with 5.8% and 11.7% in the setting of early/prefibrotic PMF. In that particular study, prefibrotic PMF morphology, previous thrombosis and thrombocytosis (>1000 × 109/l) were identified as risk factors.34 Other risk factors for LT include: leukocytosis (⩾15 × 109/l),16, 29 extreme thrombocytosis (⩾1000 × 109/l),34, 37 anemia,16, 22, 37 older age (⩾60 years),30, 37 reticulin grading, and bone marrow cellularity.16, 34 Among the Mayo clinic cohort of 605 ET patients, anemia (Hgb<120 g/l in females, <135 g/l in males) and thrombocytosis (⩾1000 × 109/l) were found to be significant risk factors, and when incorporated into a prognostic model, patients with no risk factors had a 0.4% versus 6.5% (2 risk factors) rate of LT (P=0.0009).37

Therapy-related risks of disease transformation

With the introduction of radiation treatment, in 1965, Modan and Lilienfeld observed that rates of PV-related LT were higher among X-ray-treated (8.9%) and P32-treated (11%) patients than the non-radiated (1%) treatment groups.38 Both the Polycythemia Vera Study Group (PVSG) and the French Polycythemia Study Group (FPSG) have also illustrated the leukemogenic potential of P32, with an incidence of 5–15% after 10 years of observation.38, 39, 40 In a large nested case–control study of MPN, AML/MDS development was significantly associated with P32 and alkylator exposure.41 Among alkylators, pipobroman has leukemogenic potential with actuarial leukemic risk of 14.4% and 18.7% at 10 and 15 years, respectively, reported among 164 PV patients.7 When investigating the role of low-dose aspirin in PV patients, the use of P32, pipobroman and busulphan independently had an impact on progression to AML/MDS in addition to the combination of either alkylating agent or P32 with HU; however, the use of HU alone was not found to be leukemogenic (HR 0.86; 95% CI, 0.26–2.88, P=0.8021).12 The FPSG published their final results after a median follow-up of 16.3 years randomizing young PV patients (<65 years of age) to either first-line pipobroman or HU. In that study, the median survival was 17 years for the entire cohort compared with 20.3 years for those treated with HU and 15.4 years if received pipobroman (P=0.008) and differed significantly from age- and sex-matched general population. The cumulative incidence of LT was 6.6, 16.5 and 24% in the HU arm versus 13, 34 and 52% in the pipobroman arm (P=0.004) at 10, 15 and 20 years. This is despite patients being treated for longer durations in the HU arm (12 years) compared with pipobroman (9.5 years, P<0.01). When comparing single-agent therapy only (HU n=94, pipobroman n=130), the cumulative incidence of LT was 7.3, 10.7 and 16.6% compared with 14.6, 34 and 49.4% at 10, 15 and 20 years, respectively (P=0.002).42 This illustrates not only the leukemogenicity of pipobroman but also identifies the higher rates of LT with HU than previously reported in PV, which may or may not reflect the rate of natural evolution of the disease. In a large cohort of >1500 PV patients, multivariate analysis confirmed the association between LT and P32/chlorambucil, pipobroman and pipobroman+HU/busulphan use. The use of HU or busulphan alone or in combination was not associated with leukemic risk.3 Likewise, cytoreductive agents unlike HU or interferon-alpha were associated with leukemic risk among the prospective multicenter PV study of 1638 patients.13 Although, HU treatment is not leukemogenic, therapy with ⩾2 cytoreductive treatments carries an increased risk of LT (odds ratio (OR) 2.9; 95% CI, 1.4–5.9).41 It is important to consider the risks of additional therapy in the rare setting of HU intolerance or refractoriness when deciding on choices for alternative cytoreductive agents.

In contrast, the cumulative incidence of post-PV MF increases with HU at 15, 24 and 32% compared with 5, 10 and 21% using pipobroman (P=0.02) at 10, 15, and 20 years, respectively.42 Accordingly, sequential use of two or more myelosuppressive agents leads to higher incidences of MF compared with pipobroman use alone.11 Although, PV patients receiving myelosuppressive agents had significantly higher MF transformation (P=0.01), they also had a significantly longer follow-up period compared with those treated with phlebotomy alone (P<0.001) and its was shown that longer follow-up also significantly led to higher rates of post-PV MF, thus making it difficult to conclude the effects of therapy on transformation.21

Few studies are available evaluating the efficacy and safety of cytoreductive agents in ET. Palandri et al.31 conducted a single-institution retrospective study on 386 ET patients with a median follow-up of 9.5 years (3–28.5 years) whereby 88% of the population received cytoreductive therapy. The evolution to AML and MF was 1.5% and 5%, respectively, and transformation was not influenced by the type of cytoreductive therapy: HU or busulphan. However, patients receiving sequential therapy were at higher risk for AML/MDS compared with single-therapy use (P=0.0039), and no disease transformation occurred among patients without treatment or if exposed to interferon alone.31 Anagrelide has been linked to post-ET MF, when compared with HU in the PT-1 trial and used in combination with aspirin (OR 2.92, 95% CI, 1.24–6.86, P<0.01).43 Duration of anagrelide use (>60 months) posed a higher risk for transformation (OR 9.32; 95% CI, 1.1–78.5, P<0.01)44 However, no differences were found in the ANAHYDRET study that evaluated WHO–ET diagnosed patients compared with the UK-PT1 study, which based ET on PVSG criteria.45 Finally, melphalan exposure has been associated with increased risk of evolution to AML among ET patients although it is not a commonly used therapy.29

Overall, there is no confirmed consensus implicating HU, anagrelide or busulphan as leukemogenic agents in PV or ET. The two largest non-controlled studies in ET37 and PV12 did not identify a risk of LT related to HU. Likewise, interferon-alpha has not been clearly implicated with transformation.31, 46, 47 The associations of higher transformation risk related to combination or sequential therapy are not clear and may be representative of more aggressive disease requiring more therapy with ultimately higher risk of progression. It is not well understood what influence chronic therapy has on the acquisition of genetic aberrations related to MPN and their associated risk to transformation. Genetic mutations leading to drug resistance may also have a role in disease transformation whereby the presence of p53 mutations may have suspected involvement in this process.48

Prognostic implications of the JAK2V617F mutation or its allele burden

Under normal circumstances, a polyclonal stem cell pool is responsible for hematopoiesis. In the setting of MPN, acquired mutations in hematopoietic stem cells lead to abnormal monoclonal or oligoclonal hematopoiesis. Additional genetic mutations may alter clinical phenotype pattern of each MPN, and during course of the disease, further genetic alterations can occur that promote disease progression and/or transformation.48 A major advance in understanding the pathogenesis of MPN was made with the discovery of the gain-of-function Janus kinase-2 (JAK2V167F) mutation in 2005.49, 50, 51 The most prevalent mutation in MPN is the JAK2V617F mutation on exon 14, which is present in 95% of PV and 50–60% of ET patients conferring a constitutive tyrosine kinase activity.49, 50, 52 Variable proportions of JAK2V617F mutant alleles are found in myeloid cell populations.53 The JAK2V617F mutation can be present in a heterozygous or a homozygous state, with the latter representing a mitotic recombination event resulting in uniparental disomy.54 Homozygosity is frequent in PV (25%) that contributes to their higher mutant allele burden.54, 55

A mutant allele dosage effect on clinical phenotype has been described in PV, whereby higher mutant allele burden correlates with higher severity of disease.55, 56, 57 Retrospective studies have identified that patients homozygous for JAK2V617F mutations are more likely to progress to post-PV MF.56, 57, 58 Rates of fibrotic transformation have been found to be 11.5% versus 1.4%55 and 23% versus 2%59 for homozygous compared with heterozygous JAK2 mutants, respectively. In a study of 647 patients, 68 evolved to post-PV MF, with 78% at the time of evolution having mutant allele burdens of >50%.21 Similarly, Passamonti et al.15 identified 320 PV patients (median follow-up of 3.2 years) in whom a mutant allele burden ⩾50% was a significant risk factor for MF transformation. JAK2V617F allele burdens of ⩾50% have been associated with elevated white blood cell (P=0.034), thrombocytosis (P=0.010) and, accordingly, higher incidence of both thrombosis (P=0.032) and post-PV MF (P=0.018).20 Interestingly, in a study of 97 PV patients, 21% had MF transformation, and 22% developed leukemia whereby JAK2V617F allele burden (>50%) was associated with MF transformation (P<0.0001) but not leukemogenesis.32 Higher JAK2V617F allele burdens of >80% also correlated with advanced MF and greater splenomegaly.60 However, it should be noted that association of allelic burden and transformation, particularly risks of leukemic evolution, are not consistent in PV.19, 61

Among ET patients, 14.3% of homozygous patients for the JAK2V617F mutation developed MF as compared with 4.7% of heterozygous patients (P=0.011) or 1.6% of wild-type patients (P=0.001).57 In an evaluation of ET patients based on revised WHO criteria, Gangat et al.37 identified that the presence of JAK2V617F did not predict LT or inferior survival. In one of the largest ET studies comparing JAK2V617F mutated (n=414) to unmutated cases (n=362), there was no significant difference in survival, leukemic or MF transformation rates.62 Other studies confirmed the lack of correlation related to JAK2 mutational status and disease transformation.32, 63, 64 Interestingly, in a large multicenter study by Barbui et al.34 the presence of JAK2V617F mutation significantly decreased the rate of MF progression (HR 0.37; 95% CI, 0.17–0.79, P=0.15) among ET patients but did not influence LT or overall survival. Finally, in comparing chronic phase to BP MPN, including both PV and ET, there was no statistical association between the time of LT or overall survival and JAK2V617F status. There is 20% less incidence of JAK2V617F mutations in BP MPN versus chronic phase MPN.65 In fact, it is not uncommon to find isolated acute leukemic clones to have reverted to a JAK wild-type status at the time of transformation.66, 67 Overall, JAK2V617F presence is not a prerequisite for LT and more likely additional genetic events are required in the setting of disease transformation.65

Mutations influencing disease transformation

Following the discovery of JAK2V617F mutation, additional somatic mutations have been found and implicated in MPN pathogenesis, particularly in cases of JAK2-negative disease (Table 4). MPL is found at chromosome 1p34 and encodes the thrombopoietin receptor, which mediates signaling via the JAK–STAT (signal transducer and activator of transcription factor) pathway. MPL-acquired mutations (that is, W515L, W515K) occur in both ET and PMF, with approximately 1–4% in ET patients and mutually exclusive from JAK2V617F.68, 69, 70 Based on a population frequency of 6% in a MPN cohort study, MPL mutation status did not impact time to LT or overall survival.65 Additional studies have shown its lack of impact on post-ET MF or LT risk.69, 70 In a longer follow-up study, higher rates of post-ET MF, leukemia and lower overall survival rates occurred in MPL-mutated ET (3%, n=8) when compared with those with JAK2 or CALR mutations.71 CALR mutations are rare in PV but occur in approximately 15–32%71, 72, 73 of ET cases, with higher incidences (49–71%) in JAK2/MPL unmutated ET.72, 74, 75 CALR is located on chromosome 19p13.2 and is a multi-functional Ca2+-binding protein chaperone.76 In a recent follow-up study of 299 ET patients over 12.7 years, CALR mutations versus JAK2V617F mutations were associated with younger age (P=0.002), male sex (P=0.01), higher platelet count (P=0.0004), lower hemoglobin (P<0.0001), lower leukocytosis (P=0.02) and lower thrombosis rates (P=0.04). Between the two mutational groups, LT and myelofibrotic transformation rates were not significantly different (P=0.28).71 In other studies, the CALR mutation has been associated with decreased or equal incidence of LT,73, 77 with no clear association with post-ET MF.72, 73 The role of LNK (SH2B3), an adaptor protein that is a negative regulator of thrombopoietin–MPL-mediated JAK activation pathway, is unclear. LNK mutations are associated with expansion of the myeloid progenitor precursors through the JAKSTAT pathway. In an analysis of 61 patients, LNK mutations were present in 9.8% of BP samples and were rare in chronic phase, suggesting that this mutation may be linked to leukemogenesis; however, they were not mutually exclusive of other MPN mutations and a direct genotype–phenotype correlation could not be concluded.78

Table 4. Intrinsic risk factors for disease transformation in PV and ET.

Transformation Clinical risk factors Genetic risk factors
Post-PV MF Age JAK2V617F allele burden
  Leukocytosis  
  Disease duration  
  Reticulin fibrosis  
  Splenomegaly  
Post-PV Leukemia Age Abnormal karyotype
  Leukocytosis TP53
  Reticulin fibrosis RUNX1
  Splenomegaly  
Post-ET MF Age Absent JAK2V617F mutation
  Leukocytosis ASXL1
  Anemia  
  Reticulin fibrosis  
Post-ET leukemia Age TP53
  Leukocytosis RUNX1
  Anemia  
  Reticulin fibrosis  
  Thrombosis  
  Platelets ⩾1000 × 109/l  

Abbreviations: ET, essential thrombocythemia; MF, myelofibrosis; PV, polycythemia vera.

Transcription factors have an important role in gene expression regulation and are often mutated in the setting of MPN. The gene encoding the Ikaros transcription factor (IKZF1) was shown in MPN to be the target of chromosome 7p deletions, with loss of IKZF1 associated with LT.79 An important transcription factor that is responsible for cell cycle regulation and DNA damage response is p53 (encoded by TP53 gene), a tumor-suppressor protein that has been implicated in LT in MPN.80, 81, 82 Among 22 patients with post-MPN AML, 45.5% had a form of p53 mutation.82 In analyzing post-MPN AML, the presence of p53 mutations was an adverse prognostic factor for overall survival (HR 2.67; 95% CI, P=0.006).83 Likewise, the RUNX1/AML1 gene encodes a transcription factor involved in hematopoiesis, and mutations are linked to LT in MPNs.51, 80, 84 Finally, splicing factors have also been implicated with recurrent mutations in SRSF2, ZRSF2, U2AF1 and SF3B1 identified among 22 MPN patients with leukemia.85

In MPN-BP, genomic alterations are threefold (P<0.001) more abundant compared with chronic phase.65 The spectrum of mutations in MPN-derived leukemia differs from de novo AML where in the latter we commonly see mutations in FLT3, NPM1 and DNMT3a.83, 86, 87 In post-MPN AML, gene sequencing studies have identified frequent mutations in epigenetic regulators such as ten-eleven translocation 2 (TET2), additional sex combs-like (ASXL1) and isocitrate dehydrogenase (IDH1/2) at the time of LT.81, 85, 88, 89 Rampal et al.81 identified additional mutations using high-throughput sequence analysis on post-MPN AML patients, including: CALR, MYC, PTPN11 and SETBP1. In JAK2V617F-mutated subgroups, common co-occurring mutations were TP53 (44%), ASXL1 (44%) and IDH2 (44%), whereas CALR (43%), ASXL1 (38%) and SRSF2 tended to occur in JAK2 wild type post-MPN. TET enzymes catalyze conversion of 5-methylcytosine to 5-hydroxymethycytosine, which leads to DNA methylation. The frequency of TET2 mutations are 5% in ET and 16% in PV patients.90 The incidence of TET2 mutations in MPN-BP has been reported as 17%, but the presence of the mutation among PV and PMF patients did not seem to affect LT or survival rates.90 The enzymes IDH1/2 catalyze the conversion of isocitrate to alpha-ketoglutarate, which acts as a co-factor for TET2 whereby intact IDH activity is important for protection against oxidative stress.51 Mutations of IDH1 and IDH2 cause inhibition of TET2 activity, lead to decreased DNA methylation and impaired hematopoietic differentiation.91 There is a low incidence of IDH1/2 mutations in PV (1.9%) and ET (0.8%); however, in MPN-BP, IDH mutations are as high as 21.6%, suggesting an association with LT (P<0.01) and confer a worse survival (P=0.01).92 Finally, ASXL1 is a nuclear polycomb protein with mutations found on chromosome 20q1.1 that affect the regulation of transcription and RAR-mediated signaling. ASXL1 mutations are rare in ET and PV but are most frequently found in post-ET MF and may be related to its pathogenesis.93

Cytogenetic risk factors

It is anticipated that our expanding knowledge of the genetic profiles of MPN will have an important role in predicting disease outcomes. Tefferi et al.3 showed for the first time the prognostic relevance of karyotype in an international PV study. Similarly, Dingli et al.94 illustrated that cytogenetic findings likely superseded disease-related characteristics such as age and anemia for predicting survival among PV and ET patients with secondary MF. Frequently reported karyotype abnormalities in MPN-BP are complex often involving chromosomes 1, 9, 5 and 7 abnormalities.8, 19, 84, 95, 96 In general, cytogenetic abnormalities are estimated in 15% of PV patients.19, 61 Among transformed PV patients, with no prior treatment exposures aside from phlebotomy, the most frequent cytogenetic abnormalities included: +1q, +8, +9, and 20q−.96 In ET, most patients have a normal karyotype at the time of diagnosis, with an overall prevalence of cytogenetic anomalies being <10%.97, 98, 99 Despite having abnormal cytogenetics at the time of diagnosis, ET patients do not have shorter survival or higher risks of myelofibrotic transformation or LT.97 At the time of LT, most patients have a detectable abnormality.97, 98, 100 Overall, single-nucleotide polymorphism arrays have identified changes of chromosomes 1q, 7q, 5q, 6p, 7p, 16q, 19q, 21q, 22q and 3q associated with post-MPN AML.65, 84 High-resolution single-nucleotide polymorphism arrays have identified established targets relating to disease progression that include: MYC (chromosome 8), ETV6 (chromosome 12), TP53 (chromosome 17), and RUNX1 (chromosome 21).65, 84 Clearly, in other myeloid malignancies and in primary MF, cytogenetics has an important role in prognosis, and currently our knowledge of its implication in PV and ET is expanding. Ultimately, with new technologic advancements, identifying candidate genes involved in transformation of both PV and ET into MF and AML/MDS can provide insight into the complex pathogenesis of MPN and assist in the development of therapeutic targets for prevention of transformation.

Conclusion

Both PV and ET are BCR-ABL1-negative MPN with increased morbidity and mortality mainly attributed to thrombohemorrhagic complications with progression to AML and MF leading to a dismal prognosis, particularly in the setting of LT where median survival is significantly shortened to <6 months. Allogeneic stem cell transplantation remains the only curative option in few eligible patients and new therapeutic agents remain in development. The underlying mechanism for transformation to either MF or BP remains unclear and is likely multifactorial. There is a need to improve the identification of high-risk patients. Understanding the genetic mutations that lead to disease progression and transformation is a current research focus, and with advancements in genetic profiling, the pathogenesis of MPN will become even more complex. It is anticipated that establishing genetic profiles within MPN will allow better classification of patients to improve clinical management and treatment.

The authors declare no conflict of interest.

Footnotes

Author contributions

SC and AT conceived and designed the work that led to submission. SC drafted the initial manuscript. SC and AT both edited and approved the final version of the manuscript.

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