JAK2V617F mutation is one of the key driver mutations in myeloproliferative neoplasms (MPN). Since its discovery, many diagnostic techniques have been applied in its detection. Unfortunately, there were significant discrepancies in the allele burden (AB) quantification when blinded samples were tested in a multicenter study.1 The study also concluded by delineating the importance of using well-defined, accurate standards to refine JAK2 quantitative assays.1 Although DNA from JAK2-mutated UKE-1 and HEL cells are commonly used for this purpose,32 none of these cells are considered ideal, as the HEL cells carry multiple copies of JAK2, and UKE-1 cells do undergo clonal evolution with increasing JAK2 copies during in vitro cultures.41
To improve the accuracy of JAK2V617F detection and quantification, we made some refinements to the allele-specific real-time polymerase chain reaction (qPCR) assay and created a novel method. Firstly, we decided to select JAK2 exon 21 as our reference control (Figure 1A). It improved the efficacy of copy number normalization by directly calibrating equal copies of target DNA with the reference control within the same gene. In the second step, the exon 21 control sequence, along with either one of the target regions [JAK2 wild-type (WT) and V617F mutant], were cloned into a yT&A cloning vector (Yeastern Biotech, Taiwan) to generate two standard plasmids (JAK2_WT_Ctrl_yT&A and JAK2_V617F_Ctrl_yT&A, representing 0% and 100% mutant AB, respectively) (Figure 1B). The plasmid pair had the same size (3306 bps) and could be easily manipulated with identical copy numbers. They were used to establish quantification standards. Thirdly, allele-specific (AS) primers and a FAM-containing TaqMan probe (Bio-Rad, USA) were used for JAK2V617F detection, whereas primers for the control gene were mixed with a HEX-containing probe to quantify JAK2 exon 21 (Figure 1C), and the calculation of mutant AB was determined by the ΔCt method. The designs allowed us to perform duplex PCR (including mutant-specific assay and copy-number-normalizing control assay) in one tube and quantify two PCR products concurrently, which also helped minimize sampling bias and decrease the consumption of genomic DNA. The latter could be a major but unexpected benefit when some rare samples of limited quantity are examined. Lastly, but most importantly, we designed an oligonucleotide (ON) WT template blocker containing a di-deoxycytidine at its 3′ end (3′-ddCTP). It competed with the mutant allele-specific primer and preferentially annealed to WT templates with high affinity, which impeded their non-specific amplification. With these refinements, we designated our novel method as quantitative competitive allele-specific TaqMan Duplex PCR (qCAST-Duplex PCR) assay. The sequences and working concentrations of all primers, probes and the blocker are listed in Online Supplementary Table S1. Other relevant information is also available in the Online Supplementary Appendix.
Before quantifying mutant AB, the artificial plasmid pair were mixed at various proportions to obtain a series of diluents (containing mutant AB ranging from 100% to 0%) to create standard curves. We employed a commercial kit (JAK2 RGQ KIT, Qiagen) and the droplet digital PCR system (QX200 ddPCR, Bio-Rad) to assess these standard dilutions and prove their accuracy. Figure 1D and E demonstrates the respective plotting curves of the expected mutant AB (gray rectangles) and the calculated values using either the kit (blue rhombuses) or the ddPCR assay (green rhombuses). These superimposed curves suggested an excellent correlation between the calculated and the expected AB, which affirmed the unequivocal accuracy of using these plasmid mixtures as quantification standards.
The roles of AS primers, the 3′-ddCTP blocker, and the dual TaqMan probes are shown in Figure 2A. Plasmid mixtures were subjected to qPCR with or without the blocker. Due to non-specific amplification, the amplification curves of standard dilutions with 0.01%, 0.001% and 0% mutant AB overlapped with each other in the absence of the blocker (Figure 2B, upper panel). Addition of the blocker significantly improved their discrimination (Figure 2B, middle panel), and the standard curve created with the ON blocker (Figure 2C, lower panel) was more closely superimposed with the expected line; this is important because an accurate standard curve is critical in our quantification. Without the blocker (Figure 2C, upper panel), the curve shifted at its end and led to a fluctuation in mutant AB measurements, especially in those samples with low AB (data not shown).
We next used our method to quantify mutant AB of 5 samples in 5 independent experiments. As shown in Figure 2D, the assay was shown to be highly sensitive and consistent in all JAK2-mutated samples (M3, M4, and M15) as well as in the sample with very low AB (M11). Furthermore, in the sample deemed JAK2V617F-negative (M34), the mutant AB was unequivocally below 0.01%. The variations in the measurements of each sample were minimal. Importantly, consistent results could be obtained with ddPCR (Figure 2D, right column). These data indicate that our qCAST-Duplex PCR assay can yield reproducible and affirmative results.
To delineate the sensitivity of our novel method, we then prepared low mutant AB DNA mixtures from JAK2-mutated patient samples that were serially diluted with adult healthy donors’ DNA. The mixtures were assessed with qCAST-Duplex PCR and the Qiagen RGQ kit. Our novel method yielded quantification results that were more closely related to the expected values (Figure 3A). We also used multiplex PCR amplicon sequencing, ABI CAST-PCR kit, Qiagen RGQ kit, and ddPCR to measure the mutant AB in 55 JAK2-mutated and 15 JAK2-unmutated MPN samples and compared the results with those obtained from our qCAST-Duplex PCR assay. Good correlations were observed between qCAST-Duplex PCR and either one of these methods, suggesting that the performance of our novel assay was comparable (Figure 3B-E and Online Supplementary Table S2). Importantly, the results were especially consistent between measurements using qCAST-Duplex PCR and ddPCR, one of the most reliable quantification methods (Figure 3E). Furthermore, DNA from 30 healthy adults was also assessed with our qCAST-Duplex PCR and some other assays, and none of the healthy adults was tested JAK2V617F-positive in any of the assessments (Online Supplementary Table S2). These data further illustrate the assay’s remarkable accuracy and low false positive rate.
On the other hand, we also used our novel method to refute the idea of using either HEL or UKE-1 DNA as the quantification standards because of their high copy number variation, inconsistent data acquisition, and possibly false-positive results (Online Supplementary Figure S1).
In the refined assay, 100ng of genomic DNA templates, estimated to contain 2.9×10 DNA copies, were added. Equal DNA copies of plasmids (~0.104pg) were used for standard preparation. The equivalent copy numbers helped minimize variations in mutant quantification. Furthermore, this translated into 2.9 copies of JAK2V617F in a plasmid standard with 0.01% mutant AB. We reasoned that samples with higher Ct values than that of the 0.01% AB standard should be considered JAK2V617F-negative since it would be impossible to have amplicons from less than one template in the qPCR reactions. Furthermore, we did not think the blockers could completely occupy all WT templates and false-positive amplification would still be possible. Therefore, we set 0.01% of mutant AB as the detection limit of our assay.
Our refined method represents an advance in sensitive JAK2V617F quantification. One might question the necessity of such an exceptional sensitivity and high accuracy, but the JAK2V617F AB actually carries important pathogenetic and clinical significances in MPNs. Researchers have demonstrated that JAK2V617F homozygosity could drive a phenotypic switch from essential thrombocythemia (ET) to polycythemia vera (PV) in mice models.5 In clinical studies, the mutant AB is higher in PV than in ET,6 and MPN patients with higher JAK2V617F AB are more likely to suffer from major thrombosis.7 Based on the published guidelines, the JAK2V617F detection assays should be able to detect a mutant AB as low as 1-3%.8 A sensitive assay is important to detect minimal residual disease in patients with primary meylofibrosis (PMF) who received allotransplant.2 It is also indispensable in the assessment of treatment efficacy of novel therapies such as ruxolitinib and longer-acting interferon, as both have been shown to effectively reduce AB in some of the treated patients.109
The clinical significance of detecting JAK2V617F in healthy individuals remains controversial.8 Nevertheless, it has been reported that, among the general population, JAK2V617F (mostly of low allele burden) is one of the most commonly identified mutations in age-related clonal hematopoiesis.1211 Importantly, the identified clonal hematopoiesis is significantly associated with an increased risk of developing hematologic cancers and atherosclerotic diseases.13 In a recent study, we also demonstrated that low JAK2V617F AB was frequently detected in a specific portion of stroke patients who lacked predisposing factors.14 Furthermore, in a large, population-based study, increased JAK2V617F AB in healthy adults was positively correlated with MPN progression, even among those with a mutant burden below 2%.15 These data highlight the increasing need for precise JAK2V617F quantification and sensitive detection of low mutant AB.
In summary, our qCAST-Duplex PCR method uses dual AS-qPCR reactions in a single tube, a WT template blocker, and an artificial plasmid pair as standards to refine the quantification of JAK2V617F AB. The assay is effectively validated against ddPCR and some other reliable methods. It yields highly accurate and reproducible results. Our innovation represents a significant advance in the molecular diagnostics of MPN.
References
- Lippert E, Girodon F, Hammond E. Concordance of assays designed for the quantification of JAK2V617F: a multicenter study. Haematologica. 2009; 94(1):38-45. PubMedhttps://doi.org/10.3324/haematol.13486Google Scholar
- Kroger N, Badbaran A, Holler E. Monitoring of the JAK2-V617F mutation by highly sensitive quantitative real-time PCR after allogeneic stem cell transplantation in patients with myelofibrosis. Blood. 2007; 109(3):1316-1321. PubMedhttps://doi.org/10.1182/blood-2006-08-039909Google Scholar
- Zapparoli GV, Jorissen RN, Hewitt CA, McBean M, Westerman DA, Dobrovic A. Quantitative threefold allele-specific PCR (QuanTAS-PCR) for highly sensitive JAK2 V617F mutant allele detection. BMC Cancer. 2013; 13:206. Google Scholar
- Buors C, Douet-Guilbert N, Morel F, Lecucq L, Cassinat B, Ugo V. Clonal evolution in UKE-1 cell line leading to an increase in JAK2 copy number. Blood Cancer J. 2012; 2(4):e66. PubMedGoogle Scholar
- Li J, Kent DG, Godfrey AL. JAK2V617F homozygosity drives a phenotypic switch in myeloproliferative neoplasms, but is insufficient to sustain disease. Blood. 2014; 123(20):3139-3151. PubMedhttps://doi.org/10.1182/blood-2013-06-510222Google Scholar
- Cazzola M, Kralovics R. From Janus kinase 2 to calreticulin: the clinically relevant genomic landscape of myeloproliferative neoplasms. Blood. 2014; 123(24):3714-3719. PubMedhttps://doi.org/10.1182/blood-2014-03-530865Google Scholar
- Barbui T, Finazzi G, Falanga A. Myeloproliferative neoplasms and thrombosis. Blood. 2013; 122(13):2176-2184. PubMedhttps://doi.org/10.1182/blood-2013-03-460154Google Scholar
- Bench AJ, White HE, Foroni L. Molecular diagnosis of the myeloproliferative neoplasms: UK guidelines for the detection of JAK2 V617F and other relevant mutations. Br J Haematol. 2013; 160(1):25-34. PubMedhttps://doi.org/10.1111/bjh.12075Google Scholar
- Deininger M, Radich J, Burn TC, Huber R, Paranagama D, Verstovsek S. The effect of long-term ruxolitinib treatment on JAK2p.V617F allele burden in patients with myelofibrosis. Blood. 2015; 126(13):1551-1554. PubMedhttps://doi.org/10.1182/blood-2015-03-635235Google Scholar
- Quintas-Cardama A, Abdel-Wahab O, Manshouri T. Molecular analysis of patients with polycythemia vera or essential thrombocythemia receiving pegylated interferon alpha-2a. Blood. 2013; 122(6):893-901. PubMedhttps://doi.org/10.1182/blood-2012-07-442012Google Scholar
- Jaiswal S, Fontanillas P, Flannick J. Age-related clonal hematopoiesis associated with adverse outcomes. N Engl J Med. 2014; 371(26):2488-2498. PubMedhttps://doi.org/10.1056/NEJMoa1408617Google Scholar
- Genovese G, Kahler AK, Handsaker RE. Clonal hematopoiesis and blood-cancer risk inferred from blood DNA sequence. N Engl J Med. 2014; 371(26):2477-2487. PubMedhttps://doi.org/10.1056/NEJMoa1409405Google Scholar
- Jaiswal S, Natarajan P, Silver AJ. Clonal Hematopoiesis and Risk of Atherosclerotic Cardiovascular Disease. N Engl J Med. 2017; 377(2):111-121. PubMedhttps://doi.org/10.1056/NEJMoa1701719Google Scholar
- Chen CC, Hsu CC, Huang CE. Enhanced Risk for Specific Somatic Myeloproliferative Neoplastic Mutations in Patients with Stroke. Curr Neurovasc Res. 2017; 14(3):222-231. Google Scholar
- Nielsen C, Bojesen SE, Nordestgaard BG, Kofoed KF, Birgens HS. JAK2V617F somatic mutation in the general population: myeloproliferative neoplasm development and progression rate. Haematologica. 2014; 99(9):1448-1455. PubMedhttps://doi.org/10.3324/haematol.2014.107631Google Scholar