Effects of CALR-Mutant Type and Burden on the Phenotype of Myeloproliferative Neoplasms
by
,
Hyun-Young Kim
1,†,
Yujin Han
2,†,
Jun Ho Jang
3,
Chul Won Jung
3,
Sun-Hee Kim
1 and
Hee-Jin Kim
1,* 1
Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea
2
Department of Laboratory Medicine, Seegene Medical Foundation, Seoul 04805, Korea
3
Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea
*
Author to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Diagnostics 2022, 12(11), 2570; https://0-doi-org.brum.beds.ac.uk/10.3390/diagnostics12112570
Submission received: 19 September 2022
/
Revised: 19 October 2022
/
Accepted: 20 October 2022
/
Published: 23 October 2022
(This article belongs to the Section Clinical Laboratory Medicine)
Abstract
:Somatic CALR mutations occur in approximately 70% of patients with JAK2 V617F-negative essential thrombocythemia (ET) and primary myelofibrosis (PMF). We evaluated the effects of the CALR mutant type and burden on the phenotype of CALR-mutated myeloproliferative neoplasms (MPN). Of the 510 patients with suspected or diagnosed MPN, all 49 patients detected with CALR mutations were diagnosed with ET (n = 32) or PMF (n = 17). The CALR mutant burden was significantly higher in PMF than in ET (45% vs. 34%), and type 1-like and type 2-like mutations were detected in 49% and 51% patients, respectively. Patients with MPN and type 2-like mutation showed a significantly higher median platelet count than those with type 1-like mutation. Particularly, patients with ET and type 2-like mutation had no thrombotic events, despite higher platelet counts. The effect of CALR mutant burden differed depending on the mutant type. A higher mutant burden tended to be associated with a cytopenic phenotype (i.e., lower hemoglobin levels and platelet counts) in patients with the type 1-like mutation and a proliferative hematological phenotype (i.e., higher platelet and neutrophil counts) in patients with the type 2-like mutation. This study suggests that the disease phenotype of MPN may be altered through CALR mutant burden and mutant type.
1. Introduction
Calreticulin (CALR) is an endoplasmic reticulum (ER) chaperone protein involved in intracellular calcium homeostasis and the folding and quality control of newly synthesized proteins [1]. In 2013, CALR mutations were first identified as driver mutations in myeloproliferative neoplasm (MPN) and were found in 70–80% of patients with JAK2 V617F-negative essential thrombocythemia (ET) and primary myelofibrosis (PMF), with characteristic clinical findings [2,3]. In ET, patients with CALR mutations showed male predominance, higher platelet counts, lower hemoglobin levels and leukocyte counts, and a lower risk of thrombosis than patients with JAK2 and MPL mutations [4]. In patients with PMF, CALR mutations were associated with a younger age and higher platelet counts and were less likely to be related to anemia and leukocytosis [5]. These patients also showed favorable survival compared to patients with JAK2-mutated and triple-negative PMF [5].
CALR mutations typically result in a +1-bp frameshift through insertions and/or deletions in exon 9, resulting in a mutant CALR with a novel C-terminus comprising varying amounts of negatively charged amino acids of wild-type CALR [2,3]. A 52-bp deletion (type 1; c.1099_1150del [p.Leu367Thrfs*46]) and a 5-bp insertion (type 2; c.1154_1155insTTGTC [p.Lys385Asnfs*47]) are the most common mutations, accounting for 85% of CALR mutations. Type 1 mutation eliminates almost all of the negatively charged amino acids, whereas type 2 mutation retains approximately half of the negatively charged amino acids [2]. Other CALR mutations can also be classified into type 1-like and type 2-like mutations according to the extent of residual negatively charged amino acids [6,7].
To date, several studies have reported different phenotypic and prognostic effects, depending on the CALR mutant type (type 1/type 1-like vs. type 2/type 2-like) [6,7,8,9]. However, the phenotypic characteristics of each CALR mutant type differ slightly between studies [6,7]. Additionally, there are limited studies on the effect of the CALR mutant burden on the disease phenotype. In this study, we evaluated the differences in clinical and hematological phenotypes according to the CALR mutant types and the effect of CALR mutant burden on the phenotype in CALR-mutated MPN.
2. Materials and Methods
2.1. Study Patients
We retrospectively reviewed the results of a CALR mutation analysis conducted in patients with suspected or diagnosed MPN from July 2015 to May 2020, and patients with CALR mutations were included in the study. All patients were diagnosed or revised according to the 2016 World Health Organization (WHO) classification of myeloid neoplasms [10], and the patients’ clinical and laboratory information including diagnosis, sex, age, complete blood cell counts, lactate dehydrogenase levels, splenomegaly, history of thrombosis, and survival were obtained from electronic medical records. This study was conducted in accordance with the Declaration of Helsinki. The Institutional Review Board (IRB) of the Samsung Medical Center (SMC), Seoul, Korea, approved this study (SMC IRB No. 2021-07-174) and waived the need for informed consent for retrospective data collection and review.
2.2. CALR Mutation Analysis
Genomic DNA was isolated from peripheral blood or bone marrow aspirates using a Wizard Genomic DNA Purification Kit (Promega, Madison, WI, USA) according to the manufacturer’s instructions. CALR mutation analysis was performed sequentially via fragment analysis and direct sequencing. PCR was performed with primers that amplify exon 9 of CALR (forward primer 5′-CTGGTCCTGGTCCTGATGTC-3′ and reverse primer 5′-CGAACCAGCCTGGAAAAA-3′) using a Thermal Cycler 9700 (Applied Biosystems, Foster City, CA, USA). Fragment analysis was performed by marking the forward primer with a fluorescent dye (5′-FAM). The PCR product size was measured with ABI Prism 3130xl Genetic Analyzer (Applied Biosystems) using GeneMapper Software 4.0 (Applied Biosystems). Direct sequencing was performed using an ABI Prism 3130xl Genetic Analyzer with a BigDye Terminator Cycle Sequencing Ready Reaction Kit (Applied Biosystems). The CALR mutant burden (%) was calculated as the area of mutant allele/[area of mutant allele + area of wild-type allele] × 100. CALR mutations were classified into type 1-like or type 2-like mutation groups on the basis of the predicted effect on the C-terminus of CALR, as previously reported [6].
2.3. Statistical Analysis
Categorical variables were compared using the chi-square or Fisher’s exact test, and numerical variables were compared using the Mann–Whitney test or two-sample t-test, as appropriate. Spearman correlation analysis was performed to evaluate the relationship between CALR mutant burden and other laboratory results. p-value < 0.05 was considered statistically significant. Statistical analyses were performed using the IBM SPSS version 27 (IBM Corp., Armonk, NY, USA).
3. Results
3.1. Patient Characteristics
Among the 510 patients screened, 49 (9.6%) had CALR mutations, and their characteristics are summarized in Table 1. The median age of the patients was 56 years, and 19 patients (39%) were male. All patients with CALR mutations were diagnosed either as ET (n = 32, 65%) or PMF (n = 17, 35%), and the median CALR mutant burden was significantly higher in patients with PMF than in those with ET (45% vs. 34%, p = 0.001). In addition to patients with CALR mutation, 150 (29.4%) had a JAK2 V617F mutation, and none had both mutations.
3.2. CALR Mutant Types and Their Effects on the Phenotype
The identified CALR mutations are summarized in Table 2. Type 1 and type 2 CALR mutations were detected in 20 (41%) and 22 (45%) patients, respectively, and three and two unique CALR mutations were classified as type 1-like and type 2-like mutations, respectively. Two patients had 16-bp and 46-bp deletion mutations, identified only by fragment analysis because of low CALR mutant burden, and were excluded from further analysis for CALR mutant type.
Altogether, 23 and 24 patients with type 1-like (including type 1) and type 2-like (including type 2) CALR mutations were identified, respectively, and their clinical and laboratory characteristics were compared (Table 3). Although there were no significant differences in leukocyte count, hemoglobin level, and CALR mutant burden, the median platelet count was significantly higher in patients who had MPN with type 2-like CALR mutation than in those with type 1-like CALR mutation (892 × 109/L vs. 491 × 109/L, p < 0.001); similarly, ET seemed to be more frequent than PMF (79% vs. 21%, p = 0.051) in those with type 2-like CALR mutation. In contrast, the median lactate dehydrogenase level (580 IU/L vs. 413 IU/L, p = 0.020) and frequency of splenomegaly (44% vs. 17%, p = 0.045) were higher in patients with type 1-like CALR mutations than in those with type 2-like CALR mutations.
3.3. Effects of CALR Mutant Type on Phenotype in ET and PMF
We further compared the clinical and laboratory characteristics of the patients with ET and PMF according to the CALR mutant type (Table 4). In patients with ET, the median leukocyte count (6.66 × 109/L vs. 8.15 × 109/L, p = 0.074) and hemoglobin level (12.2 g/dL vs. 13.8 g/dL, p = 0.059) were lower in patients with type 2-like CALR mutation than in those with type 1-like CALR mutation, whereas the median platelet count (851 × 109/L vs. 705 × 109/L, p = 0.092) was higher in patients with type 2-like CALR mutations. In particular, 19 patients with ET and type 2-like CALR mutation did not show any thrombotic events (p = 0.049). In patients with PMF, the median hemoglobin level (13.5 g/dL vs. 8.9 g/dL, p = 0.027) and platelet count (1513 × 109/L vs. 210 × 109/L, p = 0.003) were higher in patients with type 2-like CALR mutation than in those with type 1-like CALR mutation. In particular, the platelet count in patients with PMF and type 2-like CALR mutation was higher than that in patients with ET and the same CALR mutant type (p = 0.043). However, these findings may have limited implications because of the small number of events as well as the small number of patients with ET and PMF belonging to each CALR mutant type, especially those with PMF and type 2-like mutation. There was no difference in CALR mutant burden according to the mutant type in patients with ET (p = 0.292) and PMF (p = 0.910).
3.4. Correlation between CALR Mutant Burden and Hematological Phenotype in Type 1-like and Type 2-like CALR Mutations
In all patients with CALR mutations, as the mutant burden increased, leukocyte count increased and hemoglobin level decreased (Figure 1). We further performed a correlation analysis between the CALR mutant burden and laboratory variables according to the CALR mutant type (Figure 2 and Supplementary Figure S1). In patients with type 1-like mutation, the CALR mutant burden was negatively correlated with hemoglobin level (r = −0.705, p < 0.001) and platelet count (r = −0.570, p = 0.004). In contrast, the CALR mutant burden was positively correlated with absolute neutrophil count (r = 0.409, p = 0.047) and platelet count (r = 0.457, p = 0.025) in patients with type 2-like CALR mutation.
3.5. Correlation of CALR Mutant Burden and Hematological Phenotype in ET and PMF
In patients with ET, hemoglobin levels decreased with increasing CALR mutant burden (r = −0.506, p = 0.003) (Figure 3). There was no significant correlation between CALR mutant burden and leukocyte or platelet counts in these patients (Supplementary Figure S2A). Conversely, in patients with PMF, leukocyte count was positively correlated with CALR mutant burden (r = 0.489, p = 0.046), whereas hemoglobin level and platelet count were not significantly correlated (Supplementary Figure S2B).
4. Discussion
The impact of CALR mutant type on clinical and laboratory phenotypes has been demonstrated in several studies; however, there were some inconsistent findings [6,7,8,9,11]. In our study, type 1-like CALR mutation was predominant in PMF compared with ET, and patients with MPN and type 2-like mutation were characterized by profound thrombocytosis than those with type 1-like mutation. These findings are consistent with those of previous studies showing that patients who have MPN with type 1-like CALR mutation are associated with a myelofibrosis phenotype and those with type 2-like mutation are mainly associated with an ET phenotype [6,9].
Depending on the MPN subtype, patients with ET and type 1-like CALR mutation have a higher risk of myelofibrosis transformation than those with type 2-like mutation. Patients with ET and type 2-like mutation are characterized by a younger age and higher platelet count than those with type 1-like mutation [6,9,11]. In particular, patients with ET and CALR mutation are known to have a lower risk of thrombosis compared to those with JAK2 V617F mutation [4,12]; however, this seems to be different depending on the CALR mutant type. In our study, thrombotic events were observed in 9% and 18% of patients with ET and PMF carrying CALR mutation, respectively, which were not significantly different from those carrying JAK2 V617F mutation (13% [7/55], p = 0.636; 17% [5/29], p = 0.972, respectively) (data not submitted). However, although study patients were small for a complete analysis, there were no thrombotic events in 19 patients with ET and type 2-like CALR mutation, suggesting a low risk of thrombosis in these patients. Similarly, Pietra et al. showed that patients with ET carrying type 2-like CALR mutation had a lower risk of thrombosis compared with those carrying JAK2 V617F mutation, but not those carrying type 1-like CALR mutation [6]. They reported that none of the 84 patients with ET and type 2-like mutation had thrombosis.
In patients with PMF, Tefferi et al. showed that type 2-like CALR mutation is associated with a higher dynamic international prognostic scoring system plus score, EZH2 mutations, leukocytosis, higher peripheral blast percentage, palpable spleen size, and significantly shorter survival [7,8]. Cabagnols et al. also showed that patients with PMF and type 2 CALR mutations were characterized by a higher median platelet count, highlighting that no patients had a platelet count below 100 × 109/L [9]. In contrast, Pietra et al. demonstrated no significant differences in hematological phenotypes according to the CALR mutant type in patients with PMF [6]. In our study, although statistical power was limited due to the small number of patients, patients with PMF and type 2-like CALR mutation seemed to have a proliferative hematological phenotype of higher hemoglobin levels and platelet counts, helping to distinguish them from those with type 1-like mutation. In particular, while patients with PMF and type 2-like mutation mimicked the ET phenotype in terms of thrombocytosis, they tended to exhibit a higher leukocyte count and CALR mutant burden than patients with ET and the same CALR mutant type.
Mutant CALR has been suggested to induce MPN via interactions with the thrombopoietin receptor (MPL) [13,14]. Normally, the last domain of CALR consists of a string of negatively charged amino acid residues responsible for Ca2+ buffering and C-terminus ER retention signal (KDEL) [14]. In contrast, mutant CALR lacks the KDEL and is rich in positively charged amino acids [2], and the oncogenicity of mutant CALR is thought to depend on the positive charge of the C-terminus, which is necessary for the physical interaction between mutant CALR and MPL [14]. Particularly, a previous study demonstrated a larger Ca2+ release from the ER in cultured megakaryocytes of patients with MPN and type 1 CALR mutations than in patients carrying either the JAK2 mutation or type 2 CALR mutation, suggesting that phenotypic differences between type 1-like and type 2-like CALR mutations may be related to the greater loss of calcium-binding sites in patients with type 1-like mutation [6].
The CALR mutant burden is also considered to influence the disease phenotype of MPN, similar to the phenotypic impact of the JAK2 mutant burden [15,16,17,18,19]. Specifically, a higher CALR mutant burden has been observed in patients with PMF than in those with ET [7,9,20,21]. Li et al. reported a median CALR mutant burden of 38% in 28 patients with PMF compared with 29% in 124 patients with ET [20]. Gángó et al. reported a median CALR mutant burden of 43% and 50% in patients with ET and PMF, respectively [21]. In our study, the median CALR mutant burden was 34% and 45% in ET and PMF, respectively, and a high mutant burden of >45% was more frequent in PMF than in ET (59% vs. 9%, p = 0.006).
Additionally, our study suggested that a higher CALR mutant burden is associated with advanced disease phenotypes, such as leukocytosis and anemia in all patients with MPN. In particular, we noted the different phenotypic effects of the CALR mutant burden depending on the CALR mutant type. A higher mutant burden tended to be associated with a cytopenic phenotype (i.e., lower hemoglobin levels and platelet counts) in patients with type 1-like CALR mutation, whereas it seemed to be associated with a proliferative hematological phenotype (i.e., higher platelet and neutrophil counts) in patients with type 2-like CALR mutation. To our knowledge, this is the first study to suggest that the phenotypic effect of CALR mutant burden may differs in each CALR mutant type. Moreover, we showed the different phenotypic effects of CALR mutant burden in ET and PMF. In ET, hemoglobin levels decreased as the CALR mutant burden increased, which was consistent with previous studies showing lower hemoglobin levels in patients with ET with a higher CALR mutant burden [11,21]. However, Bertozzi et al. showed no correlation between CALR mutant burden quartile and laboratory parameters [22]. Instead, they showed that the highest mutant burden quartile was associated with poorer survival and more frequent evolution into myelofibrosis and leukemia. In PMF, although the number of patients and range of mutant burden were limited, leukocyte counts appeared to increase with the increasing CALR mutant burden.
Our study had some limitations. First, a small number of patients were included in the study. Second, the effects of other concomitant somatic mutations were not considered. Finally, a comparison with JAK2-mutated MPN was not performed.
In conclusion, this study suggests that the disease phenotype may be altered through CALR mutant burden as well as mutant type in patients with CALR-mutated MPN, and in particular, the effect of CALR mutant burden may differ depending on the mutation type. Further studies with a larger number of patients are needed to validate our results.
Supplementary Materials
The following supporting information can be downloaded at: https://0-www-mdpi-com.brum.beds.ac.uk/article/10.3390/diagnostics12112570/s1, Figure S1: (A) Scatter plots between CALR-mutant burden and white blood cell (WBC) count and absolute neutrophil count (ANC) in MPN patients with type 1-like CALR mutation and (B) scatter plots between CALR-mutant burden and WBC count and hemoglobin (Hb) level in MPN patients with type 2-like CALR mutation; Figure S2: Scatter plots between CALR-mutant burden and white blood cell (WBC) count, absolute neutrophil count (ANC), hemoglobin (Hb) level and platelet count in patients with (A) CALR-mutated ET and (B) CALR-mutated PMF.
Author Contributions
Conceptualization, H.-Y.K. and H.-J.K.; methodology, H.-Y.K.; formal analysis, H.-Y.K.; investigation, Y.H..; resources, J.H.J. and C.W.J.; data curation, H.-Y.K. and Y.H.; writing—original draft preparation, H.-Y.K. and Y.H.; writing—review and editing, All authors; supervision, H.-J.K. and S.-H.K.; funding acquisition, H.-Y.K. All authors have read and agreed to the published version of the manuscript.
Funding
This study was supported by grants from the National Research Foundation of Korea (2018R1D1A1B07051252).
Institutional Review Board Statement
This study was approved by the Institutional Review Board (IRB) of the Samsung Medical Center, Seoul, Korea on 30 July 2021 (SMC IRB No.2021-07-174).
Informed Consent Statement
Patient consent was waived for retrospective data collection and review.
Data Availability Statement
The data that support the findings of this study are available from the corresponding author upon reasonable request.
Conflicts of Interest
The authors declare no conflict of interest.
References
- Michalak, M.; Groenendyk, J.; Szabo, E.; Gold, L.I.; Opas, M. Calreticulin, a multi-process calcium-buffering chaperone of the endoplasmic reticulum. Biochem. J. 2009, 417, 651–666. [Google Scholar] [CrossRef] [PubMed]
- Klampfl, T.; Gisslinger, H.; Harutyunyan, A.S.; Nivarthi, H.; Rumi, E.; Milosevic, J.D.; Them, N.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] [PubMed] [Green Version]
- 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] [PubMed] [Green Version]
- Rotunno, G.; Mannarelli, C.; Guglielmelli, P.; Pacilli, A.; Pancrazzi, A.; Pieri, L.; Fanelli, T.; Bosi, A.; Vannucchi, A.M. Impact of calreticulin mutations on clinical and hematological phenotype and outcome in essential thrombocythemia. Blood 2014, 123, 1552–1555. [Google Scholar] [CrossRef] [Green Version]
- 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]
- Pietra, D.; Rumi, E.; Ferretti, V.V.; Di Buduo, C.A.; Milanesi, C.; Cavalloni, C.; Sant’Antonio, E.; Abbonante, V.; Moccia, F.; Casetti, I.C.; et al. Differential clinical effects of different mutation subtypes in CALR-mutant myeloproliferative neoplasms. Leukemia 2016, 30, 431–438. [Google Scholar] [CrossRef] [Green Version]
- Tefferi, A.; Lasho, T.L.; Tischer, A.; Wassie, E.A.; Finke, C.M.; Belachew, A.A.; Ketterling, R.P.; Hanson, C.A.; Pardanani, A.D. The prognostic advantage of calreticulin mutations in myelofibrosis might be confined to type 1 or type 1-like CALR variants. Blood 2014, 124, 2465–2466. [Google Scholar] [CrossRef] [Green Version]
- 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]
- 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]
- Arber, D.A.; Orazi, A.; Hasserjian, R.; Thiele, J.; Borowitz, M.J.; Le Beau, M.M.; Bloomfield, C.D.; Cazzola, M.; Vardiman, J.W. The 2016 revision to the World Health Organization classification of myeloid neoplasms and acute leukemia. Blood 2016, 127, 2391–2405. [Google Scholar] [CrossRef]
- Andrikovics, H.; Krahling, T.; Balassa, K.; Halm, G.; Bors, A.; Koszarska, M.; Batai, A.; Dolgos, J.; Csomor, J.; Egyed, M.; et al. Distinct clinical characteristics of myeloproliferative neoplasms with calreticulin mutations. Haematologica 2014, 99, 1184–1190. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Rumi, E.; Pietra, D.; Ferretti, V.; Klampfl, T.; Harutyunyan, A.S.; Milosevic, J.D.; Them, N.C.; Berg, T.; Elena, C.; Casetti, I.C.; et al. JAK2 or CALR mutation status defines subtypes of essential thrombocythemia with substantially different clinical course and outcomes. Blood 2014, 123, 1544–1551. [Google Scholar] [CrossRef] [PubMed]
- Marty, C.; Pecquet, C.; Nivarthi, H.; El-Khoury, M.; Chachoua, I.; Tulliez, M.; Villeval, J.L.; Raslova, H.; Kralovics, R.; Constantinescu, S.N.; et al. Calreticulin mutants in mice induce an MPL-dependent thrombocytosis with frequent progression to myelofibrosis. Blood 2016, 127, 1317–1324. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- 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] [PubMed] [Green Version]
- Larsen, T.S.; Pallisgaard, N.; Møller, M.B.; Hasselbalch, H.C. The JAK2 V617F allele burden in essential thrombocythemia, polycythemia vera and primary myelofibrosis—Impact on disease phenotype. Eur. J. Haematol. 2007, 79, 508–515. [Google Scholar] [CrossRef]
- Vannucchi, A.M.; Antonioli, E.; Guglielmelli, P.; Rambaldi, A.; Barosi, G.; Marchioli, R.; Marfisi, R.M.; Finazzi, G.; Guerini, V.; Fabris, F.; et al. Clinical profile of homozygous JAK2 617V>F mutation in patients with polycythemia vera or essential thrombocythemia. Blood 2007, 110, 840–846. [Google Scholar] [CrossRef]
- Hussein, K.; Bock, O.; Theophile, K.; von Neuhoff, N.; Buhr, T.; Schlué, J.; Büsche, G.; Kreipe, H. JAK2(V617F) allele burden discriminates essential thrombocythemia from a subset of prefibrotic-stage primary myelofibrosis. Exp. Hematol. 2009, 37, 1186–1193.e7. [Google Scholar] [CrossRef]
- Vannucchi, A.M.; Pieri, L.; Guglielmelli, P. JAK2 Allele Burden in the Myeloproliferative Neoplasms: Effects on Phenotype, Prognosis and Change with Treatment. Ther. Adv. Hematol. 2011, 2, 21–32. [Google Scholar] [CrossRef] [Green Version]
- Sallman, D.A.; Padron, E. Integrating mutation variant allele frequency into clinical practice in myeloid malignancies. Hematol. Oncol. Stem. Cell Ther. 2016, 9, 89–95. [Google Scholar] [CrossRef] [Green Version]
- Li, N.; Yao, Q.M.; Gale, R.P.; Li, J.L.; Li, L.D.; Zhao, X.S.; Jiang, H.; Jiang, Q.; Jiang, B.; Shi, H.X.; et al. Frequency and allele burden of CALR mutations in Chinese with essential thrombocythemia and primary myelofibrosis without JAK2(V617F) or MPL mutations. Leuk. Res. 2015, 39, 510–514. [Google Scholar] [CrossRef]
- Gángó, A.; Mózes, R.; Boha, Z.; Kajtár, B.; Timár, B.; Király, P.A.; Kiss, R.; Fésüs, V.; Nagy, N.; Demeter, J.; et al. Quantitative assessment of JAK2 V617F and CALR mutations in Philadelphia negative myeloproliferative neoplasms. Leuk. Res. 2018, 65, 42–48. [Google Scholar] [CrossRef] [PubMed]
- Bertozzi, I.; Biagetti, G.; Vezzaro, T.; Barzon, I.; Carraro, M.; Fabris, F.; Randi, M.L. Clinical effect of CALR allele burden in patients with essential thrombocythemia. Ann. Hematol. 2022, 101, 1345–1346. [Google Scholar] [CrossRef] [PubMed]
Figure 1.
Scatter plots between CALR-mutant burden and white blood cell (WBC) count, absolute neutrophil count (ANC), hemoglobin (Hb) level, and platelet count in 49 MPN patients with CALR mutation. Circles of the same color indicate the same patient.
Figure 1.
Scatter plots between CALR-mutant burden and white blood cell (WBC) count, absolute neutrophil count (ANC), hemoglobin (Hb) level, and platelet count in 49 MPN patients with CALR mutation. Circles of the same color indicate the same patient.
Figure 2.
(A) Scatter plots between CALR-mutant burden and hemoglobin (Hb) level and platelet count in MPN patients with type 1-like CALR mutation; (B) scatter plots between CALR-mutant burden and absolute neutrophil count (ANC) and platelet count in MPN patients with type 2-like CALR mutation. Circles of the same color in each group indicate the same patient.
Figure 2.
(A) Scatter plots between CALR-mutant burden and hemoglobin (Hb) level and platelet count in MPN patients with type 1-like CALR mutation; (B) scatter plots between CALR-mutant burden and absolute neutrophil count (ANC) and platelet count in MPN patients with type 2-like CALR mutation. Circles of the same color in each group indicate the same patient.
Figure 3.
Scatter plots between CALR-mutant burden and hemoglobin (Hb) level in patients with CALR-mutated ET.
Figure 3.
Scatter plots between CALR-mutant burden and hemoglobin (Hb) level in patients with CALR-mutated ET.
Table 1.
Characteristics of patients with CALR mutation.
| Total (n = 49) | ET (n = 32) | PMF (n = 17) | p-Value | |
|---|---|---|---|---|
| Age, years (IQR) | 56 (47–64) | 54 (47–63) | 61 (46–67) | 0.366 |
| Male, n (%) | 19 (39%) | 11 (34%) | 8 (47%) | 0.386 |
| WBC, ×109/L (IQR) | 7.76 (6.08–10.84) | 7.51 (6.25–9.78) | 9.38 (5.40–13.17) | 0.324 |
| ANC, ×109/L (IQR) | 4.70 (3.63–7.19) | 4.63 (3.79–5.98) | 5.44 (2.87–10.04) | 0.515 |
| AMC, ×109/L (IQR) | 0.56 (0.40–0.73) | 0.50 (0.35–0.66) | 0.67 (0.40–0.98) | 0.085 |
| Hb, g/dL (IQR) | 12.3 (10.5–13.9) | 13.2 (11.6–14.3) | 10.1 (8.9–13.5) | 0.007 |
| Platelets, ×109/L (IQR) | 734 (363–923) | 793 (581–937) | 252 (108–1028) | 0.019 |
| LDH, IU/L (IQR) | 434 (370–607) | 399 (301–462) | 581 (434–1014) | 0.011 |
| Splenomegaly, n (%) | 15 (31%) | 5 (16%) | 10 (59%) | 0.002 |
| CALR mutant burden, % | 35 (28–45) | 34 (18–40) | 45 (40–47) | 0.001 |
| Follow-up duration, months | 47 (27–57) | 41 (26–55) | 49 (27–69) | 0.535 |
| Thrombotic events, n (%) | 6 (12%) | 3 (9%) | 3 (18%) | 0.405 |
| Leukemic transformation, n (%) | 1 (2%) | 0 (0%) | 1 (6%) | 0.347 |
| Deceased, n (%) | 4 (8%) | 1 (3%) | 3 (18%) | 0.114 |
Abbreviations: ET, essential thrombocythemia; PMF, primary myelofibrosis; IQR, interquartile range; WBC, white blood cells; ANC, absolute neutrophil counts; AMC, absolute monocyte counts; Hb, hemoglobin; LDH, lactate dehydrogenase.
Table 2.
Identified CALR mutations and their mutant types.
| CALR Mutant Type a (COSMIC ID) | Nucleotide Change | Amino Acid Change | No. of Patients (%) | ||
|---|---|---|---|---|---|
| ET | PMF | Total | |||
| Type 1-like mutation | |||||
| Type 1 (COSM1738055) | c.1099_1150del | p.Leu367Thrfs*46 | 11 (55%) | 9 (45%) | 20 (41%) |
| Type 3 (COSM1738150) | c.1100_1145del | p.Leu367Glnfs*48 | 1 (100%) | - | 1 (2%) |
| Type 7 (COSM1738343) | c.1103_1154del | p.Lys368Argfs*45 | - | 1 (100%) | 1 (2%) |
| n.d. (COSM3355766) | c.1103_1148del | p.Lys368Argfs*47 | - | 1 (100%) | 1 (2%) |
| Type 2-like mutation | |||||
| Type 2 (COSM1738056) | c.1154_1155insTTGTC | p.Lys385Asnfs*47 | 18 (82%) | 4 (18%) | 22 (45%) |
| Type 33 (COSM1738355) | c.1154_1155insATGTC | p.Glu386Cysfs*46 | - | 1 (100%) | 1 (2%) |
| Type 35 (COSM1738356) | c.1154delinsTTTGTC | p.Lys385Ilefs*47 | 1 (100%) | - | 1 (2%) |
a Specific CALR mutant type was designated based on a report by Klampfl et al. [2]. Abbreviations: COSMIC, Catalogue Of Somatic Mutations In Cancer; ET, essential thrombocythemia; PMF, primary myelofibrosis; n.d., not designated.
Table 3.
Comparison of patients' clinical and laboratory characteristics according to the CALR mutant types.
Table 3.
Comparison of patients' clinical and laboratory characteristics according to the CALR mutant types.
| CALR-Mutated MPN | |||
|---|---|---|---|
| Type 1-like Mutation (n = 23) | Type 2-like Mutation (n = 24) | p-Value | |
| Age, years (IQR) | 61 (47–65) | 51 (47–61) | 0.250 |
| Male, n (%) | 11 (48%) | 6 (25%) | 0.104 |
| WBC, ×109/L (IQR) | 7.90 (6.31–11.25) | 7.40 (5.92–11.3) | 0.537 |
| ANC, ×109/L (IQR) | 4.70 (3.77–8.13) | 4.64 (3.57–7.14) | 0.941 |
| AMC, ×109/L (IQR) | 0.59 (0.40–0.79) | 0.53 (0.33–0.68) | 0.317 |
| Hb, g/dL (IQR) | 12.1 (8.9–13.8) | 12.4 (11.0–13.9) | 0.383 |
| Platelets, ×109/L (IQR) | 491 (210–790) | 892 (705–1336) | <0.001 |
| LDH, IU/L (IQR) | 580 (426–1112) | 413 (268–483) | 0.020 |
| Subtypes of MPN | |||
| ET, n (%) | 12 (52%) | 19 (79%) | 0.051 |
| PMF, n (%) | 11 (48%) | 5 (21%) | |
| Splenomegaly, n (%) | 10 (44%) | 4 (17%) | 0.045 |
| Thrombotic events, n (%) | 5 (22%) | 1 (4%) | 0.097 |
| CALR-mutant burden, % | 41 (22–47) | 39 (30–44) | 0.503 |
Abbreviations: MPN, myeloproliferative neoplasm; ET, essential thrombocythemia; PMF, primary myelofibrosis; IQR, interquartile range; WBC, white blood cells; ANC, absolute neutrophil counts; AMC, absolute monocyte counts; Hb, hemoglobin; LDH, lactate dehydrogenase.
Table 4.
Comparison of patients' clinical and laboratory characteristics according to the CALR mutant types in ET and PMF.
Table 4.
Comparison of patients' clinical and laboratory characteristics according to the CALR mutant types in ET and PMF.
| ET | PMF | Type 1-like Mutation: ET vs. PMF | Type 2-like Mutation: ET vs. PMF | |||||
|---|---|---|---|---|---|---|---|---|
| Type 1-like Mutation (n = 12) | Type 2-like Mutation (n = 19) | p-Value | Type 1-like Mutation (n = 11) | Type 2-like Mutation (n = 5) | p-Value a | p-Value | p-Value a | |
| Age, years (IQR) | 58 (46–63) | 51 (47–61) | 0.715 | 63 (48–67) | 51 (42–72) | 0.395 | 0.323 | 0.859 |
| Male, n (%) | 6 (50%) | 4 (21%) | 0.127 | 5 (45%) | 2 (40%) | 1.000 | 0.827 | 0.568 |
| WBC, ×109/L (IQR) | 8.15 (6.83–10.31) | 6.66 (5.89–8.32) | 0.074 | 7.90 (5.13–12.4) | 12.35 (9.78–15.17) | 0.193 | 0.667 | 0.008 |
| ANC, ×109/L (IQR) | 5.04 (4.07–6.77) | 4.13 (3.45–5.87) | 0.201 | 4.04 (2.70–9.79) | 8.65 (5.91–11.03) | 0.126 | 0.538 | 0.014 |
| AMC, ×109/L (IQR) | 0.56 (0.44–0.71) | 0.45 (0.32–0.60) | 0.105 | 0.67 (0.40–0.98) | 0.68 (0.61–1.14) | 0.467 | 0.854 | 0.009 |
| Hb, g/dL (IQR) | 13.8 (12.4–15.6) | 12.2 (10.8–13.9) | 0.059 | 8.9 (7.50–11.30) | 13.5 (11.3–15.0) | 0.027 | 0.002 | 0.455 |
| Platelets, ×109/L (IQR) | 705 (492–845) | 851 (695–1173) | 0.092 | 210 (99–316) | 1513 (1007–2888) | 0.003 | 0.001 | 0.043 |
| LDH, IU/L (IQR) | 402 (382–422) | 399 (279–477) | 1.000 | 775 (542–1167) | 428 (245–500) | 0.039 | 0.046 | 0.800 |
| Splenomegaly, n (%) | 3 (25%) | 2 (11%) | 0.350 | 7 (64%) | 2 (40%) | 0.596 | 0.100 | 0.179 |
| Thrombotic events, n (%) | 3 (25%) | 0 (0%) | 0.049 | 2 (18%) | 1 (20%) | 1.000 | 1.000 | 0.208 |
| CALR-mutant burden, % | 26 (15–41) | 37 (29–40) | 0.292 | 45 (41–47) | 45 (37–48) | 0.910 | 0.008 | 0.051 |
a Due to the small number of patients with PMF and type 2-like mutation (n = 5), the p-values comparing these patient group to other patient groups may have very limited statistical power. Abbreviations: ET, essential thrombocythemia; PMF, primary myelofibrosis; IQR, interquartile range; WBC, white blood cells; ANC, absolute neutrophil counts; AMC, absolute monocyte counts; Hb, hemoglobin; LDH, lactate dehydrogenase.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
MDPI and ACS Style
Kim, H.-Y.; Han, Y.; Jang, J.H.; Jung, C.W.; Kim, S.-H.; Kim, H.-J. Effects of CALR-Mutant Type and Burden on the Phenotype of Myeloproliferative Neoplasms. Diagnostics 2022, 12, 2570. https://0-doi-org.brum.beds.ac.uk/10.3390/diagnostics12112570
AMA Style
Kim H-Y, Han Y, Jang JH, Jung CW, Kim S-H, Kim H-J. Effects of CALR-Mutant Type and Burden on the Phenotype of Myeloproliferative Neoplasms. Diagnostics. 2022; 12(11):2570. https://0-doi-org.brum.beds.ac.uk/10.3390/diagnostics12112570
Chicago/Turabian StyleKim, Hyun-Young, Yujin Han, Jun Ho Jang, Chul Won Jung, Sun-Hee Kim, and Hee-Jin Kim. 2022. "Effects of CALR-Mutant Type and Burden on the Phenotype of Myeloproliferative Neoplasms" Diagnostics 12, no. 11: 2570. https://0-doi-org.brum.beds.ac.uk/10.3390/diagnostics12112570
Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.
