Low JAK2 V617F Allele Burden in Ph-Negative Chronic Myeloproliferative Neoplasms Is Associated with Additional CALR or MPL Gene Mutations
by
,
Tatiana V. Makarik
, 
Adhamjon O. Abdullaev
,
Elena E. Nikulina
,
Svetlana A. Treglazova
,
Elena E. Stepanova
,
Irina N. Subortseva
,
Alla M. Kovrigina
,
Anait L. Melikyan
,
Sergei M. Kulikov
and
Andrey B. Sudarikov
* National Research Center for Hematology, Novy Zykovski lane 4a, 125167 Moscow, Russia
*
Author to whom correspondence should be addressed.
Genes 2021, 12(4), 559; https://doi.org/10.3390/genes12040559
Submission received: 19 February 2021
/
Revised: 7 April 2021
/
Accepted: 8 April 2021
/
Published: 12 April 2021
(This article belongs to the Special Issue Genetics of Leukemia and Myelodysplastic Syndromes)
Abstract
:JAK2 (Janus kinase 2) V617F, CALR (Calreticulin) exon 9, and MPL (receptor for thrombopoietin) exon 10 mutations are associated with the vast majority of Ph-negative chronic myeloproliferative neoplasms (MPNs). These mutations affect sequential stages of proliferative signal transduction and therefore, after the emergence of one type of mutation, other types should not have any selective advantages for clonal expansion. However, simultaneous findings of these mutations have been reported by different investigators in up to 10% of MPN cases. Our study includes DNA samples from 1958 patients with clinical evidence of MPN, admitted to the National Research Center for Hematology for genetic analysis between 2016 and 2019. In 315 of 1402 cases (22.6%), CALR mutations were detected. In 23 of these 315 cases (7.3%), the JAK2 V617F mutation was found in addition to the CALR mutation. In 16 from 24 (69.6%) cases, with combined CALR and JAK2 mutations, V617F allele burden was lower than 1%. A combination of JAK2 V617F with MPL W515L/K was also observed in 1 out of 1348 cases, only. JAK2 allele burden in this case was also lower than 1%. Additional mutations may coexist over the low background of JAK2 V617F allele. Therefore, in cases of detecting MPNs with a low allelic load JAK2 V617F, it may be advisable to search for other molecular markers, primarily mutations in exon 9 of CALR. The load of the combined mutations measured at different time points may indicate that, at least in some cases, these mutations could be represented by different clones of malignant cells.
1. Introduction
Ph-negative myeloproliferative neoplasms (MPNs) arise as a result of the transformation of the hematopoietic stem cell, which leads to the aberrant clonal hematopoiesis and hyperplasia of the cells of the myeloid lineage [1]. The WHO (World Health Organization) classification of myeloid malignancies includes the following MPNs: Chronic myeloid leukemia (CML), chronic neutrophilic leukemia, polycythemia vera (PV), primary myelofibrosis (PMF), essential thrombocythemia (ET), chronic eosinophilic leukemia, and others, unclassified MPNs-U. These diseases are characterized by the hyperplasia of the myeloid cell lineages, thrombocytosis, splenomegaly, frequent thrombotic complications, with a long course—the risk of transformation to myelodysplastic syndrome and acute leukemia. Classical diagnosis, risk stratification, clinical characterization, and prognosis in patients with MPNs were based on histological analysis of bone marrow and peripheral blood. To date, it is known that the molecular mechanisms of MPN development are associated with hyperactivation of tyrosine kinases or with abnormalities of cytokine receptors. The beginning of deciphering these mechanisms started with the identification of the pathogenetic role of the chimeric BCR/ABL oncogene in chronic myeloid leukemia (CML), which arises as a result of reciprocal t(9:22) translocation forming the so-called Philadelphia chromosome [2,3]. The abnormal tyrosine kinase activity of the BCR/ABL protein leads to the dysregulation of many intracellular signaling pathways [4,5].
In 2005, a point mutation in exon 14 of the JAK2 kinase gene was found in patients with MPNs, in which the amino acid valine was replaced by phenylalanine at position 617 (mutation JAK2 V617F) in the JH2 pseudokinase domain of the JAK2 protein [6,7,8,9]. The JAK2 V617F mutation is found in 90–95% of PV patients, in 50–70% of ET cases, and 40–50% of myelofibrosis cases. The JAK2 V617F mutation has proven to be a marker essential to performing the primary and differential diagnosis of MPNs [10,11]. Subsequently, 4% of JAK2 V617F-negative PV patients were found to have a cluster of JAK2 gene mutations in exon 12 (microdeletions and point mutations affecting amino acid residues at position 537–542 of the JAK2 protein [6,7,8,9]).
In 2006, ET was found to associate with somatic point mutations in the gene for the thrombopoietin receptor MPL, causing amino acid substitutions W515L/K. These mutations are found in 5–10% of ET and PMF patients who do not have the JAK2 V617F mutation and never with PV [12,13,14,15]. In vitro studies have shown that the replacement of tryptophan with leucine or lysine at position 515 of the MPL protein leads to the activation of the JAK2-STAT regulatory pathway, which also occurs in the case of the JAK2 V617F mutation. In 2013, mutations in the calreticulin gene (CALR) were found in 67% to 88% of patients with ET and PMF [16,17]. To date, more than 40 different mutations have been found in exon 9 of the CALR gene. All of them are insertions and/or deletions that lead to the formation of a new C-terminal protein sequence and the loss of the KDEL signal sequence due to a shift in the reading frame [16,17,18]. The most common mutations are 52 base pair deletion (type 1) and 5 base pair insertion (type 2) [17]. Mutant forms of calreticulin can bind to the extracellular domain of MPL and, thus, induce the activation of the JAK2-STAT/P13K/MAPK signaling pathway, which leads to increased cell proliferation. Some current studies report lower CALR mutation rates than those reported in earlier studies, and it is believed that CALR mutation rates may vary by race and country [16,17,19,20]. The overall survival of patients with CALR type 2 and JAK2 mutations is significantly lower than the survival rate of patients with type 1 mutations [21,22]. Basically, the molecular diagnostic routine for ph-negative MPNs starts with the test for JAK2 V617F and does not proceed further since the V617F positivity obtained. Therefore, studies of CALR and MPL mutations are rarely performed on patients with JAK2 mutation, and the data on the mutation coexistence are limited [13,14,20,23,24,25,26]. A systematic study of patients with both mutations and the combined effect on the pathophysiology, treatment outcome, phenotype, and clinical characteristics of patients with MPN is required [12].
The aim of this study was to assess the frequency of detection of JAK2 V617F, CALR, and MPL mutations, in particular in cases of combined JAK2 + CALR, JAK2 + MPL mutations, in a Russian cohort of patients with BCR/ABL1 rearrangement negative MPNs and factors associated with them.
2. Materials and Methods
A retrospective study of patients observed at the National Research Center for Hematology (Moscow, Russia) from October 2016 to November 2020 was carried out. All subjects gave their informed consent for inclusion before they participated in the study. The study was conducted in accordance with the Declaration of Helsinki, and the protocol was approved by the Ethics Committee of National Research Center for Hematology (Protocol # 153). All additional tests were performed on the material left after all the necessary diagnostic tests were performed and the correct diagnosis was made for 1958 patients included in the study. Data on gender, age, and diagnosis of patients were taken from medical records at the time of diagnosis of ET, PV, or PMF during outpatient consultation. The diagnosis was made taking into account the effective WHO recommendations (2008 or 2016) [27,28].
Determination of possible genetic mutations in JAK2 V617F, exon 9 of CALR (types 1 and 2), and MPL W515L/K, as well as mutations of 12 exon JAK2, was performed. When negative results were obtained for the above mutations, a “triple-negative” status was established.
DNA and RNA were isolated out from 5–10 mL of blood or bone marrow, taken at the time of diagnosis, using standard “salting out” procedure or by the “Ribo-sol-D” kit (Interlabservice, Moscow, Russia) following the manufacturer’s instructions. The concentration and purity of DNAs were assessed spectrophotometrically.
The JAK2 V617F mutation was quantified using the “JAK2 Gene V617F G/T Mutation Detection Kit” (NP_404_Q_RG, Syntol, Moscow, Russia) according to the manufacturer’s instructions. MPL W515L/K mutations were assessed using the “Reagent kit for determining the W515L/K mutation of the MPL gene” (NP_412_100, Syntol, Moscow, Russia). The sensitivity of allele specific PCR assays was 0.2% of mutant allele over wild type allele background according to the manufacturer’s instructions. For PCR amplification, a RotorGene device (QIAGEN, Hombrechtikon, Switzerland) was used.
A pair of specific oligonucleotide primers were used to amplify the 9th exon of the CALR gene: CALR_AF1 5′-CTGAGGTGTGTGCTCTGCC-3′ and CALR_ R FAM 5′-CAGAGACATTATTTGGCGCGG-3′. The reaction mixture contained: 2.5× reaction mixture (Syntol, Moscow, Russia), MgCl2 25 mM, 10 pmol primers, and the final volume of the mixture was 25 μL (for the amplification, a Bio-Rad device, Hercules, CA, USA was used). The amplification program included: Denaturation 95 °С/10 min; cycling 35 cycles: 95 °C/20 s, 60 °C/40 s, 72 °C/60 s, and 72 °C/10 min. PCR products were diluted with water 80 times, denatured at 95 °C/3 min, and cooled at 4 °C/5 min. Fragment analysis with a sensitivity of at least 3% was performed in a NANOFOR-05 genetic analyzer (Syntol, Moscow, Russia).
JAK2 exon 12 mutations were evaluated by direct Sanger sequencing of PCR amplified exon 12. The sensitivity of detection was ~15% of mutated allele.
All cases were tested for ph-negativity using the Reverta-L and AmpliSense FRT variant kits (Interlabservice, Moscow, Russia) following the manufacturer’s instructions.
3. Results
In total, a combined group of patients (1958) with diagnoses of ET, PV, PMF, and MPN-U was examined for the presence of JAK2 V617F, JAK2 exon 12, MPL W515L/K, and CALR exon 9 gene mutations.
To analyze the occurrence of mutations, including combined ones, we formed two age groups. The first group consisted of patients under the age of 60, the second—older patients (the ratio of age groups was 29.4% [576/1958] versus 70.6% [1382/1958], p = 0.037). There were 2 times more women (1289) in the general group than men (670), probably due the predominance of ET that is more common in woman, than in man [31]. The distributions of mutation detection frequencies in gender, age, and diagnosis groups are shown in Table 1.
According to our data, 68.8% (1913/1958) of patients with MPNs had the JAK2 V617F mutation. The overall frequency of mutations in the CALR gene was 22.6% (316/1401). MPL mutations were much less common: 1% MPL W515L (14/1354) and 0.7% MPL W515K (9/1350). For mutations in exon 12 JAK2, the frequency of occurrence was found to be 4.7% (5) in 107 patients with MPNs. Our results are comparable with previously published data: JAK2 V617F—62% [12], CALR—15.5% [28], and MPL—5% [12,17].
In the group of patients with PV, the JAK2 V617F mutation was detected in 91.1% (509) of patients. In this group of patients, not a single case with the MPL W515L/K or CALR mutation was found, while a mutation in exon 12 JAK2 was detected in five cases (8.9%) and only in patients with PV.
The detection rate of MPL W515L/K was slightly higher in the group with PMF—3.4% (7) versus 1.5% (4) in the group with ET (pχ2 = 0.03).
There was no significant difference between the mutation frequencies observed in males and females for any of the MPN patient cohorts.
The frequency of JAK2 V617F mutations in patients with PMF and ET was 60.5% and 53.9%, respectively (Table 1). It is known that the JAK2 V617F mutation is considered as one of the factors that increase the risk of thrombosis and is included by WHO as a criterion in the IPSET-thrombosis scale for all MPNs [23]. Patients with MPN-U had the JAK2 V617F mutation in 61.9% of cases.
The incidence of mutations in exon 9 of CALR in patients with ET and PMF was 40.3% and 36.9%, respectively. Mutations in the CALR gene were significantly more frequent (p = 0.0006) in younger patients, 27.7% versus 20.2%.
Mutations in the MPL gene were found in 3.4% of patients with PMF, and 1.5% of patients with ET. In the older group of patients, mutations in the MPL gene were much more common (the ratio of age subgroups 2.9% [13/450] versus 1.1% [10/914], p = 0.02).
A mutation in exon 12 JAK2 was found only in patients with PV in 8.9% of cases (p = 0.19), which does not contradict previously published data [6,7,8,9].
In addition to the frequency estimates, we also checked possible differences in the distributions of the JAK2 and CALR allelic load in the groups by gender, age, and diagnosis (Table 2 and Figure 1).
According to the results of our study, there were no significant differences in the CALR allelic load distributions by age groups and gender.
In the case of the JAK2 V617F mutation, we found significant differences in terms of age: In patients over 60 years of age, the allelic load is higher than in younger patients (with a median value of 40% [SD 1.5] versus 20% [SD 0.9]) (Figure 2).
As a result of our study, 24 cases were found with the simultaneous presence of combined mutations (CM) JAK2 V617F/CALR and JAK2 V617F/MPL W515L/K. All of these results were confirmed at two or more time points. The combination of JAK2 V617F mutations and exon 9 of the CALR gene occurred in 23 cases, and the combination of JAK2 V617F and MPL W515L/K mutations—1 case. Clinical and laboratory data of MPN patients with CM are presented in Table 3. The information was available for 23 patients. In one case, after being diagnosed, the patient was followed up and treated at another clinic. We analyzed the data of the entire group of patients, and separately for patients with ET and PMF. Due to the small number of observations (3 cases), the group of patients with MPN-U were not separately characterized.
Type 1 CALR mutation was found in 16 patients (69.6%) and type 2 mutation was found in 7 patients (30.4%).
When analyzing combined mutations, we found that 70% of all values of the JAK2 V617F allelic load were not significantly higher than 1% (minimum value 1%, maximum value—97%, st. dev. 4.2), while the median values of allelic load in the general group—37.5% (minimum value 10%, maximum value 53%, st. dev. 5.2) (Figure 3).
To study this phenomenon, ROC analysis was carried out to assess if the level of JAK2 mutation allele burden can be hypothetically used as an indicator test to predict the presence of additional mutations.
As shown by ROC analysis, the level of JAK2 mutation allele burden is a good test indicator for predicting the appearance of additional CALR mutations (area under the ROC curve, AUC = 0.86, Figure 4). The ROC analysis for JAK2 and MPL co-mutations was not possible due to only one such case noted.
Furthermore, we proceeded from practical considerations that a high level of specificity, in this case, is more important than sensitivity, i.e., we would like to suspect the presence of additional mutations with a reasonable degree of certainty. For this, we have chosen as a threshold the minimum detectable level of allelic load = 1%.
Based on this rule, we classified the sample (observations with a known measured level of JAK2 V617F allele burden) into two groups with predictable additional CALR mutation detection and without it and compared it with the actual presence. The cross tabulated frequencies are shown in Table 4.
As can be seen from Table 4, the total number of observations that do not satisfy the proposed rule are 25 (18 + 7) out of 794 (3.1%). In 23 patients with combined mutations, JAK2 V617F allele burden equal or lower than 1% was found in 16 patients (69.6%). The chance to detect CALR mutation in the case of a low JAK2 V617F allele burden is about 96 times higher than in the case of a high burden (OR = 95.6 (35.0–260.9)). Other statistics describing the classification rule (allele burden <>1%) follow: Coefficient of agreement Kappa = 0.55 (0.39–0.70), p Fisher <0.0001.
The analysis of the CALR mutation load as a possible indicator of the presence of combined mutations did not provide any practical prognostic rule. The area under the curve for the “CALR indicator” AUC = 0.54, the levels of CALR loads in patients with an isolated CALR mutation, and patients with combined CALR-JAK2 did not practically differ.
For 13 out of 24 patients with combined mutations, multiple archival samples taken at different time points were available. Eight patients had a stable burden for both JAK2 and CALR mutation during follow up. On the other hand, five patients significantly dropped the level of JAK2 mutation under therapy while preserving the CALR mutation load. In one case, the decrease in JAK2 V617F allele burden was from 43% to negativity; in one case from 49% to 1% and in three cases from 1% to negativity. Therefore, one can speculate that some of the cases with combined mutations are representing at least two-clonal diseases.
4. Discussion
Currently, the pathogenetic role of mutations occurring separately JAK2 V617F, 12th exon JAK2, MPL W515L/K, and CALR exon 9 in MPNs is well understood. However, in cases of a combination of these mutations in patients with MPNs, their significance for pathogenesis and, as a consequence, the expected effectiveness of therapy (including targeted therapy) requires further study. Since the common workflow for molecular diagnostics in ph-negative MPNs, which suggest CALR and MPL mutation testing in JAK2 V617F negative cases only, there are few data obtained on limited cohorts concerning a combination of JAK2 V617F, CALR, and MPL point mutations available so far. Previously, Lim et al. reported detection by high-resolution melting analysis of both classic and non-classic CALR exon 9 mutations on a cohort of 59 JAK2 V617F-mutated ET patients [26]. Here we presented the data on the retrospective search for the combined mutations on the extended patient sample (n = 1958), including all patients that were admitted to the National Research Center for Hematology (Moscow, Russia) from 2016 till 2020. We showed that CM (namely JAK2 V617F and CALR mutations or JAK2 V617F and MPL W515L/K) could occur not only in patients with ET but also in patients with PMF and MPN-U. We analyzed the type and allelic load of these mutations in 24 patients with CM and have shown for the first time that in most cases, additional mutations exist over the background of JAK2 V617F mutation with a low allelic load. In 70% of cases (16/24), the JAK2 V617F allele load was ≤1%. Therefore, in case of detecting MPN with a low allelic load of JAK2 V617F mutation, it may be advisable to search for other molecular markers, primarily mutations in exon 9 of CALR. Dynamic observation of JAK2 V617F and CALR mutation burden in combined cases indicated that these mutations may exist in different malignant cell clones. Unfortunately, only archival DNA samples were available for retrospective analysis, therefore cell separation to prove the oligoclonal nature of the disease was not possible.
5. Conclusions
Patients with a low JAK2 V617F allele level may harbor additional mutations in the CALR or MPL genes. Therefore, in cases of MPNs with a low allelic load of JAK2 V617F, it may be advisable to search for other molecular markers, primarily mutations in exon 9 of CALR. Some cases with the level of combined mutations being measured at different time points indicate different dynamics of mutations under the influence of therapy. It can be assumed that, at least in some cases, these mutations can be represented by different clones of malignant cells. To assess the role of additional mutations in the prognosis of MPNs and to determine the tactics of therapy (including targeted), further identification, monitoring, and prospective study of such patients are necessary.
Author Contributions
Conceptualization, T.V.M. and A.B.S.; methodology, A.O.A.; formal analysis, S.M.K.; investigation, E.E.N., T.V.M., E.E.S. and S.A.T.; resources, A.M.K., I.N.S. and A.L.M.; data curation, T.V.M., I.N.S., S.M.K. and A.B.S.; writing—original draft preparation, T.V.M.; writing—review and editing, A.B.S. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Institutional Review Board Statement
The study was conducted in accordance with the Declaration of Helsinki, and the protocol was approved by the Ethics Committee of National Research Center for Hematology (Protocol # 153).
Informed Consent Statement
Informed consent was obtained from all subjects involved in the study.
Conflicts of Interest
The authors declare no conflict of interest.
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Figure 1.
Empirical distributions of CALR mutation burden in patients with different diagnoses.
Figure 2.
Empirical distributions of JAK2 V617F allele load in patients of two age groups: Under 60 and over 60.
Figure 2.
Empirical distributions of JAK2 V617F allele load in patients of two age groups: Under 60 and over 60.
Figure 3.
Empirical distributions of JAK2 V617F allele load in patients with single (JAK2 V617F) and double (JAK2 V617F and CALR) mutations.
Figure 3.
Empirical distributions of JAK2 V617F allele load in patients with single (JAK2 V617F) and double (JAK2 V617F and CALR) mutations.
Figure 4.
Result of ROC analysis. (A) ROC curve of dependence of sensitivity on specificity for an indicator of predicting the presence of a combined mutation according to the level of the JAK2 V617F allele burden. (B) Sensitivity and specificity of detecting a combined mutation as a function of the threshold level of the JAK2 V617F allele burden.
Figure 4.
Result of ROC analysis. (A) ROC curve of dependence of sensitivity on specificity for an indicator of predicting the presence of a combined mutation according to the level of the JAK2 V617F allele burden. (B) Sensitivity and specificity of detecting a combined mutation as a function of the threshold level of the JAK2 V617F allele burden.
Table 1.
General characteristics of the study cohort of patients. p-value from Fisher’s test was used to estimate significance for the tables of 2 × 2 and χ-square for the tables of higher dimensions (2 × 3, 2 × 4).
Table 1.
General characteristics of the study cohort of patients. p-value from Fisher’s test was used to estimate significance for the tables of 2 × 2 and χ-square for the tables of higher dimensions (2 × 3, 2 × 4).
| Index | Mutation Frequency | ODR (Odds Ratio)/p | |
|---|---|---|---|
| JAK2+ | |||
| In cohort | 68.8% (1914/1958) | ||
| Gender | Male | 67.4% (443/657) | ODR = 1.1 (0.9 − 1.35) pFisher = 0.2 |
| Female | 69.5% (874/1257) | ||
| Age | ≤60 years | 66.2% (339/559) | ODR = 1.5 (1.2 − 1.9) pFisher = 0.0001 |
| >60 years | 74.6% (446/598) | ||
| Diagnosis | ET | 53.9% (185/343) | pχ2 < 0.0001 |
| PV | 91.1% (507/555) | ||
| PMF | 60.5% (156/258) | ||
| MPN-U | 61.9% (469/758) | ||
| CALR+ | |||
| In cohort | 22.6% (315/1402) | ||
| Gender | Male | 21.0% (102/485) | ODR = 1.1 (0.9 − 1.5) pFisher = 0.2 |
| Female | 23.2% (213/917) | ||
| Age | ≤60 years | 27.7% (118/426) | ODR = 0.6 (0.4 − 0.8) pFisher < 0.0002 |
| >60 years | 20.2 (197/975) | ||
| Diagnosis | ET | 41.2% (112/272) | pχ2 < 0.0001 |
| PV | 0 | ||
| PMF | 36.9% (79/214) | ||
| MPN-U | 19.8% (124/628) | ||
| MPL+ | |||
| In cohort | 1.7% (23/1364) | ||
| Gender | Male | 1.7% (8/474) | ODR = 0.9 (0.4 − 2.4) pFisher = 0.6 |
| Female | 1.7% (15/890) | ||
| Age | ≤60 years | 1.1% (10/914) | ODR = 2.7 (1.2 − 6.2) pFisher = 0.02 |
| >60 years | 2.9% (13/450) | ||
| Diagnosis | ET | 1.5% (4/263) | pχ2 = 0.03 |
| PV | 0 | ||
| PMF | 3.4% (7/205) | ||
| MPN-U | 1.9% (12/609) | ||
Table 2.
Statistical parameters of JAK2+ and CALR+ allelic loads by main demographic factors. Comparison of means by one-way analysis of variance (ANOVA), p-value from Fisher’s test was used to estimate significance.
Table 2.
Statistical parameters of JAK2+ and CALR+ allelic loads by main demographic factors. Comparison of means by one-way analysis of variance (ANOVA), p-value from Fisher’s test was used to estimate significance.
| Factor | N | Median, Range | Mean | Standard Deviation | p Fisher | |
|---|---|---|---|---|---|---|
| JAK2+ | ||||||
| Gender | Male | 438 | 29.0 (0.28–100) | 37.1 | 28.6 | |
| Female | 859 | 24.0 (1–100) | 33.8 | 28.9 | p = 0.05 | |
| Age | ≤60 years | 856 | 20.0 (0.28–100) | 28.9 | 25.7 | |
| >60 years | 441 | 40.0 (1–100) | 46.5 | 30.9 | p < 0.0001 | |
| Diagnosis | ET | 182 | 10.8 (1–100) | 14.4 | 13.7 | |
| PV | 497 | 34.0 (1–100) | 41.3 | 28.6 | ||
| PMF | 154 | 43.0 (1–100) | 47.2 | 30.7 | ||
| MPN-U | 464 | 22 (0.28–100) | 32.2 | 28.1 | p < 0.0001 | |
| CALR+ | ||||||
| Gender | Male | 40 | 42.0 (10–54) | 38.7 | 12.9 | |
| Female | 73 | 45.0 (6–96) | 43.4 | 14.1 | p = 0.08 | |
| Age | ≤60 years | 89 | 43.0 (6–96) | 41.5 | 12.9 | |
| >60 years | 24 | 46.0 (8–85) | 42.3 | 16.7 | p = 0.7 | |
| Diagnosis | ET | 38 | 38.0 (8–50) | 34.5 | 12.1 | |
| PV | 0 | |||||
| PMF | 16 | 48.5 (25–96) | 51.8 | 17.1 | ||
| MPN-U | 59 | 47.0 (6–75) | 43.8 | 11.1 | p < 0.0001 | |
Combined mutations.
Table 3.
Clinical and laboratory characteristics of MPN patients with combined mutations.
| Criteria | Whole Group (n = 23) | ET (6) | PMF (14) |
|---|---|---|---|
| Age, years, median (range) | 57 (23–86) | 46 (26–61) | 64.5 (23–86) |
| Men:Women | 1:1 (12:11) | 1:1 (3:3) | 5:9 (1:1.8) |
| Diagnosis: ET PMF MPN-U | 6 14 3 | ||
| Red blood cell, ×1012/L | 4.1 (2.9–5.7) | 4.4 (3.5–5.1) | 3.89 (2.9–4.8) |
| Hemoglobin, g/L | 120 (83–166) | 133 (83–154) | 106 (91–142) |
| Platelets, ×109/L | 815 (98–1900) | 1298 (774–1900) | 572 (98–1475) |
| White blood cell, ×109/L | 7.6 (3.41–16) | 8.1 (7.43–16) | 6.6 (3.41–11.63) |
| Splenomegaly, % (number of patients) | 61% (14) | 17 (1) | 79 (11) |
| Risk: | |||
| IPSS Low Intermediate-1 Intermediate-2 High | NA | 4 7 3 0 | |
| IPSET: Low Intermediate High | 0 4 2 | NA | |
| Thrombosis, % (number of patients) | 9% (2) | 33% (2) | - |
| Treatment: | |||
| Hydroxyurea | 16 | 4 | 10 |
| Interferon α 2b | 2 | 1 | 0 |
| Anagrelid | 1 | 1 | 0 |
| Imatinib then Interferon α 2b | 2 | 0 | 2 |
| Observation | 2 | 0 | 2 |
Table 4.
Association of low JAK2 allele burden with CALR mutation. p-value from Fisher’s test was used to estimate significance.
Table 4.
Association of low JAK2 allele burden with CALR mutation. p-value from Fisher’s test was used to estimate significance.
| CALR+ | CALR− | Total | |
|---|---|---|---|
| Allele burden JAK2 ≤ 1% | 16 | 18 | 34 |
| Allele burden JAK2 > 1% | 7 | 753 | 760 |
| Total | 23 | 771 | 794 |
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Makarik, T.V.; Abdullaev, A.O.; Nikulina, E.E.; Treglazova, S.A.; Stepanova, E.E.; Subortseva, I.N.; Kovrigina, A.M.; Melikyan, A.L.; Kulikov, S.M.; Sudarikov, A.B. Low JAK2 V617F Allele Burden in Ph-Negative Chronic Myeloproliferative Neoplasms Is Associated with Additional CALR or MPL Gene Mutations. Genes 2021, 12, 559. https://doi.org/10.3390/genes12040559
AMA Style
Makarik TV, Abdullaev AO, Nikulina EE, Treglazova SA, Stepanova EE, Subortseva IN, Kovrigina AM, Melikyan AL, Kulikov SM, Sudarikov AB. Low JAK2 V617F Allele Burden in Ph-Negative Chronic Myeloproliferative Neoplasms Is Associated with Additional CALR or MPL Gene Mutations. Genes. 2021; 12(4):559. https://doi.org/10.3390/genes12040559
Chicago/Turabian StyleMakarik, Tatiana V., Adhamjon O. Abdullaev, Elena E. Nikulina, Svetlana A. Treglazova, Elena E. Stepanova, Irina N. Subortseva, Alla M. Kovrigina, Anait L. Melikyan, Sergei M. Kulikov, and Andrey B. Sudarikov. 2021. "Low JAK2 V617F Allele Burden in Ph-Negative Chronic Myeloproliferative Neoplasms Is Associated with Additional CALR or MPL Gene Mutations" Genes 12, no. 4: 559. https://doi.org/10.3390/genes12040559
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