Please wait a minute...

中国生物工程杂志

China Biotechnology
China Biotechnology  2023, Vol. 43 Issue (12): 139-144    DOI: 10.13523/j.cb.2310057
    
Highly Sensitive Droplet Digital PCR for Detection of Low-level JAK2V617F Mutation
LONG Ling-yu1,ZHOU Ya-lan1,**(),JIAO Yao1,YE Lin-hai2,LI Xiu-chun2,LIU Yan-rong1,HUANG Xiao-jun1,3,RUAN Guo-rui1,**()
1 Peking University People’s Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Peking University, Beijing 100044,China
2 Sniper Medical Technology Co., Ltd., Suzhou 215000,China
3 Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100084,China
Download: HTML   PDF(928KB) HTML
Export: BibTeX | EndNote (RIS)      

Abstract  

Objective: To establish a droplet digital PCR (ddPCR) method for detecting the low-level JAK2V617F mutation and to explore its application value in the diagnosis of myeloproliferative neoplasm (MPN). Methods: Site-specific TaqMan-MGB probes were used to establish the ddPCR method for detecting the JAK2V617F mutation in genomic DNA. JAK2V617F mutations were detected by ddPCR, real-time quantitative PCR and next-generation sequencing (NGS). The consistency of the detection results of different methods was compared. Results: The ddPCR method for detecting the JAK2V617F mutation based on specific TaqMan-MGB probes was successfully established, and the detection sensitivity was at least 0.05%. The ddPCR method and qPCR method were used to detect the JAK2V617F mutation in 82 subjects with MPN and 8 healthy controls. The consistency rate was 96.7%. For the 52 samples with positive results by both methods, the correlation coefficient of quantitative data was 0.971 4 (P<0.000 1). Eleven samples were verified by NGS and the correlation coefficient between the two quantitative results was 0.983 9 (P<0.000 1). Conclusions: The ddPCR with the specific TaqMan-MGB probe method can detect the JAK2V617F mutation conveniently and accurately, which may have potential application value in the screening and dynamic monitoring of the JAK2V617F mutation.



Key wordsMyeloproliferative neoplasms (MPN)      JAK2V617F mutation      Droplet digital PCR (ddPCR)     
Received: 10 October 2023      Published: 16 January 2024
ZTFLH:  Q354  
Cite this article:

Ling-yu LONG, Ya-lan ZHOU, Yao JIAO, Lin-hai YE, Xiu-chun LI, Yan-rong LIU, Xiao-jun HUANG, Guo-rui RUAN. Highly Sensitive Droplet Digital PCR for Detection of Low-level JAK2V617F Mutation. China Biotechnology, 2023, 43(12): 139-144.

URL:

https://manu60.magtech.com.cn/biotech/10.13523/j.cb.2310057     OR     https://manu60.magtech.com.cn/biotech/Y2023/V43/I12/139

反应孔名称 有效液滴数 FAM-C/(cp/μL) VIC-C(cp/μL) 实测突变频率/% 实测突变频率均值/% 理论突变频率/%
1. PC_5% 20 708 158.444 3 509.528 4.32 4.26 5.00
2. PC_5% 20 363 132.88 3 021.436 4.21
3. PC_5% 20 786 132.836 2 989.096 4.25
4. PC_1% 20 927 37.708 5 204.892 0.72 0.76 1.00
5. PC_1% 20 488 36.08 5 085.564 0.70
6. PC_1% 20 566 47.828 5 449.928 0.87
7.PC_0.5% 21 000 20.988 5 942.684 0.35 0.42 0.50
8.PC_0.5% 20 549 24.156 5 583.996 0.43
9.PC_0.5% 20 464 27.764 5 869.6 0.47
10.PC_0.1% 20 362 6.622 6 427.19 0.10 0.10 0.10
11.PC_0.1% 20 897 4.884 5 949.086 0.08
12.PC_0.1% 20 967 6.556 6 537.234 0.10
13.PC_0.05% 20 907 3.168 6 358.154 0.05 0.04 0.05
14.PC_0.05% 20 627 2.002 6 748.302 0.03
15.PC_0.05% 20 761 3.19 6 462.434 0.05
16.空白对照 20 739 0 0 0 0 0
17.阴性对照 20 001 0 6 572.94 0 0 0
Table 1 The results of ddPCR for detecting positive standards and negative controls
Fig.1 Correlation test and sensitivity determination of ddPCR method for detecting JAK2V617F mutation
Fig.2 Reprehensive results of JAK2V617F mutation detected by ddPCR A.Blank control B.Negative control ( K562 cell line DNA ) C and D were the results of 1 JAK2V617F mutation negative clinical sample and 1 JAK2V617F mutation positive clinical sample, respectively
Fig.3 Correlation analysis of quantitative results of JAK2V617F mutation detected by ddPCR and real-time quantitative PCR
Fig.4 Correlation analysis of quantitative results of JAK2V617F mutation detected by ddPCR and NGS
[1]   Vainchenker W, Kralovics R. Genetic basis and molecular pathophysiology of classical myeloproliferative neoplasms. Blood, 2017, 129(6): 667-679.
doi: 10.1182/blood-2016-10-695940 pmid: 28028029
[2]   Campbell P, Green A. The myeloproliferative disorders. N Engl J Med, 2006, 355(23): 2452-2466.
doi: 10.1056/NEJMra063728
[3]   Ruan G R, Chen S S, Li L D, et al. Detection of JAK2V617F mutation in patients with myeloproliferative disorders with TaqMan-MGB probe. National Medical Journal of China, 2007, 87(34): 2401-2404.
[4]   Verstovsek S, Kantarjian H, Mesa R A, et al. Safety and efficacy of INCB018424, a JAK1 and JAK 2 inhibitor, in myelofibrosis. N Engl J Med, 2010, 363(12): 1117-1127.
doi: 10.1056/NEJMoa1002028
[5]   Arber D A, Orazi A, Hasserjian R, et al. The 2016 revision to the World Health Organization classification of myeloid neoplasms and acute leukemia. Blood, 2016, 127(20): 2391-2405.
doi: 10.1182/blood-2016-03-643544 pmid: 27069254
[6]   Arber D A, Orazi A, Hasserjian R P, et al. International Consensus Classification of Myeloid Neoplasms and Acute Leukemias: integrating morphologic, clinical, and genomic data. Blood, 2022, 140(11): 1200-1228.
[7]   Gerds A T, Gotlib J, Ali H, et al. Myeloproliferative neoplasms, version 3.2022, NCCN clinical practice guidelines in oncology. Journal of the National Comprehensive Cancer Network: JNCCN, 2022, 20(9): 1033-1062.
[8]   Vannucchi A M. Ruxolitinib versus standard therapy for the treatment of polycythemia vera. The New England Journal of Medicine, 2015, 372(17): 1670-1671.
doi: 10.1056/NEJMc1502524 pmid: 25901432
[9]   Galimberti S, Balducci S, Guerrini F, et al. Digital droplet PCR in hematologic malignancies: a new useful molecular tool. Diagnostics (Basel, Switzerland), 2022, 12(6): 1305.
[10]   Sidon P, El Housni H, Dessars B, et al. The JAK2V617F mutation is detectable at very low level in peripheral blood of healthy donors. Leukemia, 2006, 20(9): 1622.
doi: 10.1038/sj.leu.2404292 pmid: 16775613
[11]   Nielsen C, Birgens H S, Nordestgaard B G, et al. Diagnostic value of JAK 2 V617F somatic mutation for myeloproliferative cancer in 49 488 individuals from the general population. British Journal of Haematology, 2013, 160(1): 70-79.
doi: 10.1111/bjh.2012.160.issue-1
No related articles found!