| Literature DB >> 27252806 |
Shirin Ferdowsi1, Seyed H Ghaffari2, Naser Amirizadeh1, Azita Azarkeivan1, Kamran Atarodi1, Mohammad Faranoush1, Gholamreza Toogeh3, Reza Shirkoohi4, Mohammad Vaezi2, Mahtab Maghsoodlu1, Kamran Alimoghaddam2, Ardeshir Ghavamzadeh2, Hosein Teimori Naghadeh1.
Abstract
BACKGROUND: Myeloproliferative neoplasms (MPNs) are clonal malignant diseases that represent a group of conditions including polycythemia vera (PV), essential thrombocythemia (ET) and primary myelofibrosis (PMF). The aim of this study was to evaluate possible correlations between JAK2V617F allele burden and clinicohematologic characteristics in Iranian patients with MPNs. We also aimed at determining the correlation between JAK2V617F allele burden and use of cyto reductive treatment (hydroxyurea).Entities:
Keywords: Hydroxyurea; JAK2V617F; Myeloproliferative neoplasms
Year: 2016 PMID: 27252806 PMCID: PMC4888151
Source DB: PubMed Journal: Int J Hematol Oncol Stem Cell Res ISSN: 2008-2207
Figure 1Agarose gel analysis for the detection of JAK2V617F mutation in genomic DNA by ARMS- PCR. The 463- bp fragment was amplified as a control band for all PCR products. wild-type specific primers produce a fragment of 229- bp and mutant specific primers generate a fragment of 279-bp. Lane 2, 3 and 4 samples from patients with mutation; lane 5 sample from patients without mutation; lane 6 is a healthy person, lane 7 is negative PCR control. Lane 1 is 100-base pair (bp).
Figure 2Standard curves for real-time PCR (A: Results for JAK2WT, B: Results for JAK2V617F
Clinical and hematologic characteristics at diagnosis in MPN patients (tested at the time of diagnosis)
|
|
|
|
|
|
|
|
| |||||
|
|
| 18 (90%) | 8/10 | 48 | 6/12 | 11.05 ± 2.99 | P=0.1 | 17.4 ± 2.74 | P=0.1 | 388.4 ± 184 | P=0.6 | |
|
| 2 (10%) | 1/1 | 30 | 2/0 | 8.94 ± 3.79 | 18.6 ± 2.3 | 234 ± 17.3 | |||||
|
|
| 15 (75%) | 6/9 | 59 | 0/15 | 10.1 ± 1.1 | P=0.004 | 14.4 ± 0.98 | P=0.01 | 785 ± 179.8 | P=0.3 | |
|
| 5 (25%) | 4/1 | 55 | 0/5 | 6.8 ± 2.7 | 13.1 ± 1.3 | 1828 ± 3088 | |||||
Clinical and hematologic characteristics at diagnosis in MPN patients (tested while receiving HU)
|
|
|
|
|
|
|
|
| ||||
|
|
| 30 (75%) | 16/14 | 52 | 20/10 | 21.9 ± 4.1 | P=0.009 | 17.2 ± 1.9 | P=0.08 | 729 ± 181.8 | P=0.01 |
|
| 10 (25%) | 9/1 | 41 | 2/8 | 7.7 ± 3.07 | 18.7 ± 2.02 | 270 ± 103.2 | ||||
|
|
| 15 (50%) | 6/9 | 55 | 2/13 | 8.9 ± 2.3 | P=0.01 | 14.1 ± 1.8 | P=0.03 | 879 ± 204 | P=0.6 |
|
| 15 (50%) | 6/9 | 51 | 1/16 | 6.9 ± 3.84 | 13.3 ± 1.2 | 959 ± 140 | ||||
|
|
| 8 (53.3%) | 5/3 | 56 | 6/2 | 12.4 ± 6.9 | P=0.1 | 9.8 ± 3.2 | P=0.3 | 306 ± 227.5 | P=0.2 |
|
| 7 (46.6%) | 3/4 | 52 | 4/3 | 5.9 ± 2.05 | 7.2 ± 2.1 | 180 ± 125.8 | ||||
Figure 3Correlation between JAK2V617F allele burden and hematologic parameters. White blood cell count (WBC), hemoglobin value (Hb) and platelet count (Plt) for JAK2V617F-positive PV (n = 48), ET (n = 30) and PMF (n = 8) patients are presented.
frequency of the JAK2 mutation in other reports
|
|
|
|
|
|---|---|---|---|
| Indian, Sazawal S (22) | 70% | 82% | Polymerase chain reaction and restriction enzyme based assay. |
| Brazil, Silva R (23) | 88% | 47% | polymerase chain reaction–restriction fragment length polymorphism |
| Taiwan, Ho CL (24) | 76.2% | 46.9% | melting curve analysis |
| Turkey, Karkucak M (25) | 80 % | 42 % | tetra-primer polymerase chain reaction |
| Malaysia, Hamidah NH (26) | 95.8% | 52.9% | allele specific PCR, ARMS-PCR and RQ-PCR |
| Lebanon, Mahfouz RA (27) | 100% | 68.29% | Real-time polymerase chain reaction |
| China, Chao HY (28) | 97% | 59.6% | ARMS-PCR, capillary electrophoresis |