| Literature DB >> 26375990 |
Haixiu Guo1, Xiuhua Chen2, Ruiyuan Tian2, Jianmei Chang2, Jianlan Li2, Yanhong Tan2, Zhifang Xu2, Fanggang Ren2, Junxia Zhao2, Jie Pan2, Na Zhang2, Xiaojuan Wang2, Jianxia He2, Wanfang Yang2, Hongwei Wang2.
Abstract
Somatic mutations in the CALR gene have been recently identified as acquired alterations in myeloproliferative neoplasms (MPNs). In this study, we evaluated mutation frequencies, laboratory features, and granulocyte activation in Chinese patients with MPNs. A combination of qualitative allele-specific polymerase chain reaction and Sanger sequencing was used to detect three driver mutations (i.e., CALR, JAK2V617F, and MPL). CALR mutations were identified in 8.4% of cases with essential thrombocythemia (ET) and 5.3% of cases with primary myelofibrosis (PMF). Moreover, 25% of polycythemia vera, 29.5% of ET, and 48.1% of PMF were negative for all three mutations (JAK2V617F, MPL, and CALR). Compared with those patients with JAK2V617F mutation, CALR-mutated ET patients displayed unique hematological phenotypes, including higher platelet counts, and lower leukocyte counts and hemoglobin levels. Significant differences were not found between Chinese PMF patients with mutants CALR and JAK2V617F in terms of laboratory features. Interestingly, patients with CALR mutations showed markedly decreased levels of leukocyte alkaline phosphatase (LAP) expression, whereas those with JAK2V617F mutation presented with elevated levels. Overall, a lower mutant rate of CALR gene and a higher triple-negative rate were identified in the cohort of Chinese patients with MPNs. This result indicates that an undiscovered mutant gene may have a significant role in these patients. Moreover, these pathological features further imply that the disease biology varies considerably between mutants CALR and JAK2V617F.Entities:
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Year: 2015 PMID: 26375990 PMCID: PMC4574314 DOI: 10.1371/journal.pone.0138250
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Frequencies and distribution of JAK2V617F, MPL exon 10, and CALR exon 9 mutations in PV, ET, and PMF.
| Different regions of China | Western countries | |||||||||
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| Our group(Shanxi) |
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| PV | JAK2V617F+ | 75.0% (96/128) | — | — | 91.9% (34/37) | — | 100% (48/48) | 95.0% (363/382) | 96% (468/490) | — |
| MPL exon 10+ | 0 (0/128) | — | — | 0 (0/37) | — | 0 (0/48) | 0 (0/382) | 0 (0/490) | — | |
| CALR exon 9+ | 0 (0/128) | — | — | 0 (037) | — | 0 (0/48) | 0 (0/382) | 0 0/490) | — | |
| Triple-negative | 25.0% (32/128) | — | — | 8.1% (3/37) | — | 0 (0/48) | 5.0% (19/382) | 4% (22/490) | — | |
| ET | JAK2V617F+ | 61.2%(249/407) | — | 51.1% (97/190) | 45.5%(101/222) | 63.9% (94/147) | 56.0% (35/62) | 59.2% (184/311) | 22% (466/745) | 53.0% (154/289) |
| MPL exon 10+ | 1.0% (4/407) | — | 3.2% (6/190) | 0.9% (2/222) | 2.7% (4/147) | 8.0% (5/62) | 3.5% (11/311) | 4% (28/745) | 3.0% (9/289) | |
| CALR exon 9+ | 8.4% (34/407) | — | 26.3% (50/190) | 31.1% (69/222) | 22.5% (33/147) | 28.0% (17/62) | 25.1% (78/311) | 24% (176/745) | 33.0% (96/289) | |
| Triple-negative | 29.5% (120/407) | — | 19.4% (38/190) | 22.5% (50/222) | 10.9% (16/147) | 8.0% (5/62) | 12.2% (38/311) | 10% (75745) | 11.0% (30/289) | |
| PMF | JAK2V617F+ | 45.1% (60/133) | 50.0%(178/357) | — | 60.6% (20/33) | — | 69.0% (35/62) | 53.2% (108/203) | 64.7% (399/617) | 57.0% (56/99) |
| MPL exon 10+ | 1.5% (2/133) | 3.0% (11/357) | — | 0 (0/33) | — | 5.0% (2/62) | 6.4% (13/203) | 4.0% (25/617) | 7.0% (7/99) | |
| CALR exon 9+ | 5.3% (7/133) | 21.0% (76/357) | — | 12.1% (4/33) | — | 23.0% (9/62) | 35.5% (72/203) | 22.7% (140/617) | 25.0% (25/99) | |
| Triple-negative | 48.1% (64/133) | 27.0% (96/357) | — | 27.5% (9/33) | — | 3.0% (1/62) | 4.9% (10/203) | 8.6% (53/617) | 11.0% (11/99) | |
“Triple-negative” represents patients without JAK2V617F, MPL, and CALR mutations. “—” indicates no detection performed in corresponding studies.
Comparison analysis of MPN phenotypes between types 1 and 2 mutations in CALR gene.
| Different regions of China | Western countries | |||||||
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| Our group |
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| ET cohort | Type 1 | 41.2% (14/34) | 44.9% (31/69) | 54.5% (18/33) | 46.0% (23/50) | — | 38.8% (38/98) | 46.2% (90/195) |
| Type 2 | 26.5% (9/34) | 33.3% (23/69) | 27.3% (9/33) | 30.0% (15/50) | — | 48.0% (47/98) | 37.9% (74/195) | |
| PMF cohort | Type 1 | 85.7% (6/7) | 25.0% (1/4) | — | — | 31.6% (24/76) | 60.5% (23/38) | 65.7% (69/105) |
| Type 2 | 14.3% (1/7) | 50.0% (2/4) | — | — | 64.5% (49/76) | 23.7% (9/38) | 20.0% (21/105) | |
Type 1: c.1179_1230del; Type 2: c.1234_1235insTTGTC; “—” indicates no detection performed in the corresponding studies.
Demographic and laboratory features at diagnosis of ET and PMF patients with CALR and JAK2V617F mutations.
| ET cohort | PMF cohort |
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| (A) | (B) | (C) | (D) | (A) vs (B) | (C) vs (D) | |
| Age, median (range)(years) | 59 (15–90) | 58 (23–78) | 63(53–71) | 60 (22–81) |
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| Sex (male:female) | 17:12 | 108:130 | 2:4 | 25:31 |
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| WBC count, median (range)(×109/L) | 12.2 (4.1–37) | 15.4 (4.1–77.1) | 5.2 (2.6–10.2) | 15.9 (0.5–110.0) |
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| Hb, median (range)(g/L) | 123.8 (66.4–172.0) | 145.4 (52.6–428) | 116.9 (70.0–168.0) | 111.3 (47.6–169.0) |
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| PLT count, median (range)(×109/L) | 1023 (420–2640) | 764 (404–2274) | 204 (115–254) | 177 (18–383) |
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WBC: white blood cell; Hb: hemoglobin; PLT: platelet.
Demographic and laboratory features at diagnosis of ET patients with different types of CALR and JAK2V617F mutations.
| ET cohort |
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| (A) | (B) | (C) | (A) vs (B) | (A) vs (C) | (B) vs (C) | |
| Age, median (range) (years) | 55 (24–72) | 57 (31–78) | 58 (23–78) |
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| Sex (male:female) | 9:5 | 5:3 | 108:130 |
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| WBC count, median (range) (×109/L) | 10.7 (4.4–37.0) | 8.4 (6.7–12.2) | 15.4 (4.1–77.1) |
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| Hb, median (range) (g/L) | ||||||
| Male | 140.0 (91.3–157.0) | 124.3 (111.0–172.0) | 125.0 (52.6–144.0) |
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| Female | 122.0 (104.0–137.0) | 121.0 (118.0–134.0) | 162.0 (144.0–428.0) |
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| PLT count, median (range) (×109/L) | 900 (420–1863) | 1396 (618–2640) | 764 (404–2274) |
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WBC: white blood cell; Hb: hemoglobin; PLT: platelet.
Demographic and laboratory features at diagnosis of PMF patients with different types of CALR and JAK2V617F mutations.
| PMF cohort |
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| (A) | (B) | (C) | (A) vs (B) | (A) vs (C) | (B) vs (C) | |
| Age, median (range)(years) | 64 (53–71) | 70 | 60 (22–81) | — |
| — |
| Sex (male:female) | 2:3 | female | 25:31 | — |
| — |
| WBC count, median (range)(×109/L) | 4.58 (2.58–10.20) | 3.34 | 15.9 (0.5–110.0) | — |
| — |
| Hb, median (range)(g/L) | 117.0 (70.0–168.0) | 95.1 | 111.3 (47.6–169.0) | — |
| — |
| PLT count, median (range)(×109/L) | 223 (175–254) | 220 | 177 (18–383) | — |
| — |
WBC: white blood cell; Hb: hemoglobin; PLT: platelet; “—” indicates no analysis performed.
Fig 1(A) LAP scoring images of CALR and JAK2V617F mutant patients. Peripheral blood smear of a representative CALR mutant patient displays a poor LAP expression (positive-cells:1%; score:1). In contrast, peripheral blood smear of a representative JAK2V617F mutant patient reveals a marked LAP expression (positive-cells:90%; score:194). Peripheral blood smear of a representative positive control (Puerperal) shows the highest intensity level of the stain (level: 3). (B) Leukocyte alkaline phosphatase (LAP) scores in circulating granulocytes of peripheral blood from different categories of patients carrying . LAP values are shown in a scatter plot; diamond indicates the median. (i) LAP score levels of 38 PV, 74 ET, and 24 PMF patients carrying JAK2V617F mutant alleles. LAP values of all patients are above normal (>80). The Kruskal–Wallis test showed significant differences between the three disorders (P < 0.001 for all comparisons). (ii) LAP score levels of 18 ET patients and 1 PMF patient carrying CALR mutant alleles. The entire data showed no significant differences between the ET and PMF groups. Both ET and PMF patients carrying the CALR mutation exhibited lower LAP scores than the normal value. (iii) LAP score levels of 74 ET patients with JAK2V617F mutant alleles and 18 ET patients carrying the CALR mutation. The Mann–Whitney U test showed significant differences between both groups (P < 0.001). (iv) LAP score levels of 24 PMF patients with JAK2V617F mutant alleles and 1 PMF patient carrying the CALR mutation. These data show that LAP score levels of PMF patients with JAK2V617F mutation are markedly higher than those with the CALR mutation.