Literature DB >> 31432643

Performance Evaluation of the QXDx BCR-ABL %IS Droplet Digital PCR Assay.

Hee Jung Chung1, Mina Hur2, Sumi Yoon1, Keumrock Hwang3, Hwan Sub Lim3, Hanah Kim1, Hee Won Moon1, Yeo Min Yun1.   

Abstract

Accurate detection of BCR-ABL fusion transcripts at and below molecular response (MR) 4 (0.01% International Scale [IS]) is required for disease monitoring in patients with chronic myeloid leukemia (CML). We evaluated the analytical performance of the QXDx BCR-ABL %IS (Bio-Rad, Hercules, CA, USA) droplet digital PCR (ddPCR) assay, which is the first commercially available ddPCR-based in vitro diagnostics product. In precision analysis, the %CV was 9.3% and 3.0%, with mean values of 0.031% IS and 9.4% IS, respectively. The assay was linear in the first order, ranging from 0.032% IS to 20% IS. The manufacturer-claimed limit of blank, limit of detection, and limit of quantification were verified successfully. There was a very strong correlation between the results of the QXDx BCR-ABL %IS ddPCR assay and the ipsogen BCR-ABL1 Mbcr IS-MMR (Qiagen, Hilden, Germany) real-time quantitative PCR assay (r=0.996). In conclusion, the QXDx BCR-ABL %IS ddPCR assay can provide reliable results for CML patients. © The Korean Society for Laboratory Medicine.

Entities:  

Keywords:  BCR-ABL; Chronic myeloid leukemia; Droplet digital PCR; Evaluation; Performance

Mesh:

Substances:

Year:  2020        PMID: 31432643      PMCID: PMC6713652          DOI: 10.3343/alm.2020.40.1.72

Source DB:  PubMed          Journal:  Ann Lab Med        ISSN: 2234-3806            Impact factor:   3.464


Recent practice guidelines from the European LeukemiaNet and National Comprehensive Cancer Network for the management of patients with chronic myeloid leukemia (CML) call for the use of sensitive PCR assays, like real-time quantitative PCR (RQ-PCR) assays, for detecting BCR-ABL fusion transcripts during treatment, monitoring minimal residual disease (MRD), and identifying patients at risk of relapse [12]. It is recommended that patients are tested every three months and the results are reported in International Scale (% IS) units for standardized reporting of the molecular response (MR) [3]. However, RQ-PCR assays are limited in terms of limit of detection (LOD) and limit of quantification (LOQ) [4]. Undetectable BCR-ABL fusion transcripts using RQ-PCR assays, especially at the LOD and LOQ, affect clinical decisions and may lead to inappropriate or premature cessation of treatment [45]; adequate sensitivity levels should be achieved to detect MRD down to MR4 (0.01% IS) or MR4.5 (0.0032% IS) [6]. Droplet digital PCR (ddPCR) assay can quantify the total copy number of targets present in a sample without standards [7]. Although its underlying chemistry is similar to that of the RQ-PCR assay, the ddPCR assay has an additional step, which separates each sample into 20,000 nanoliter-sized droplets, in which the PCR occurs, improving assay precision and reproducibility [789]. The QXDx BCR-ABL %IS (Bio-Rad, Hercules, CA, USA) is the first ddPCR-based in vitro diagnostics (IVD) product with the US Food and Drug Administration clearance and European Conformity (CE) mark; however, its analytical performance has not been evaluated to date [10]. We evaluated the precision, linearity, and detection capability (limit of blank [LOB], LOD, and LOQ) of the QXDx BCR-ABL %IS ddPCR assay. We also evaluated its correlation with the CE-IVD-marked ipsogen BCR-ABL1 Mbcr IS-MMR DX (Qiagen, Hilden, Germany) RQ-PCR assay, which has been designed according to the “Europe Against Cancer” studies and is compliant with the updated international recommendations [111213]. This study was conducted between May and June 2019 at Konkuk University Medical Center (KUMC), Seoul, Korea, after obtaining exemption from approval by the Institutional Review Board of KUMC (KUH1200100). Venous whole blood (3 mL) was collected in K3 EDTA vacutainer (Greiner Bio-one, Kremsmünster, Austria), the BCR-ABL mRNA was extracted using the QIAamp RNA Blood Mini Kit (Qiagen, Valencia, CA, USA), and the mRNA samples were stored at −70℃ until use. Both the QXDx BCR-ABL %IS ddPCR assay and BCR-ABL Mbcr IS-MMR DX RQ-PCR assay were performed following the manufacturers' instructions. For the ddPCR assay, an Automated Droplet Generator (Bio-Rad), CFX96 thermal cycler (Bio-Rad), and QX200 Droplet Reader (Bio-Rad) were used; the raw data were analyzed and interpreted using the QuantaSoft software 1.7.4 (Bio-Rad). Precision of the QXDx BCR-ABL %IS ddPCR assay was determined using a low positive control (MR3.0–5.0) and ~10% IS calibrator (MR1.0), which were included in the kit, according to the CLSI guidelines EP15-A3, using manufacturer-claimed within laboratory imprecision [14]. We replicated the assay three times in a single run, on three separate days. The %CVs were 9.3% and 3.0% with mean values of 0.031% IS and 9.4% IS, respectively; the maximal %CV of 9.3% was used to define allowable errors in the linearity assessment [14]. Linearity was determined at five levels (20, 10, 1.0, 0.1, and 0.032% IS) using a certified reference material (CRM) for BCR-ABL1, ERM-AD623f (European Commission's Joint Research Centre, EU); the CRM was diluted using CML-negative human blood samples, according to the CLSI guidelines EP06-A [15]. Quantification using the QXDx BCR-ABL %IS ddPCR assay showed a linear shape in the first order (y=0.9981x+0.0305) in log scale, ranging from 0.032% IS to 20% IS. No outliers were detected by visual examination of the scatter plot. The observed data were within the allowable error (<9.3%) with a CV of 2.6%, 1.4%, 3.9%, 7.6%, and 4.8% at the levels of 20, 10, 1.0, 0.1, and 0.032% IS, respectively. Detection capability was estimated according to the CLSI guidelines EP17-A2 [16]. The total number of measurements was 24 each for LOB, LOD, and LOQ. To verify the LOB claim, two blank samples were measured with four replicates per sample on three separate days using one reagent lot; all 24 (100%) replicates showed the result “not detected.” To verify the LOD and LOQ claims (0.002% IS [MR4.7] for both), the lowest linearity material was diluted using CML-negative human blood samples to 0.0033% IS (MR4.5) and 0.0023% IS (MR4.6), respectively. Each sample was measured with four replicates on three separate days using one reagent lot. For LOD verification, 23 (95.8%) of the 24 replicates showed the result “analyte detected” and only one replicate was lower than the LOD (<0.002% IS). For LOQ verification, 21 (87.5%) of the 24 replicates were within the allowable error window (accuracy goal of ±15% total error at a level of 0.0028–0.0038% IS for Q1 and 0.0020–0.0027% IS for Q2; Table 1). The observed LOD and LOQ proportions (95.8% and 87.5%) all exceeded the minimum percentage of 85% (95% confidence interval) with a sample size of 24 [16], verifying the manufacturer's LOB, LOD, and LOQ claims.
Table 1

Verification of the detection capability claims of the QXDx BCR-ABL %IS ddPCR assay

Manufacturer claimed value (% IS)Level of measurand (% IS)SampleDay 1Day 2Day 3Observed proportion (%)*
#1#2#3#4#1#2#3#4#1#2#3#4
LOBBlankBlankB1NDNDNDNDNDNDNDNDNDNDNDND100.0
B2NDNDNDNDNDNDNDNDNDNDNDND
LOD0.00200.0033D1ADADADADADADADADADADADAD95.8
0.0023D2ADADADADADADADAD< LODADADAD
LOQ0.00200.0033Q10.00350.00300.00370.00290.00350.00300.00370.00350.00310.00330.0037< AEL87.5
0.0023Q20.00270.00230.00210.00210.00250.00220.00250.0020< AEL> AEL0.00210.0022

*Total number of measurements was 24; therefore, the acceptable observed proportion boundary was set at 85%, according to the CLSI guidelines EP17-A2 [12]. The allowable error limit was ±15% of the target value of each sample [12].

Abbreviations: ddPCR, droplet digital PCR; IS, International Scale; LOB, limit of blank; LOD, limit of detection; LOQ, limit of quantification; B, blank; D, detection; Q, quantification; ND, not detected; AD, analyte detected; AEL, allowable error limit.

The quantitative results of the QXDx BCR-ABL %IS ddPCR assay and BCR-ABL Mbcr IS-MMR DX RQ-PCR assay were compared using Passing-Bablok regression analysis according to the CLSI guidelines EP09-A3 [17]. Using a total of 20 clinical samples (ranging from 0.002% IS [MR4.7] to 20% IS [MR0.7]), the results of the two assays demonstrated a very strong correlation (r=0.996; Fig. 1).
Fig. 1

Passing-Bablok regression of the correlation between the QXDx BCR-ABL %IS ddPCR assay and the BCR-ABL Mbcr IS-MMR DX RQ-PCR assay (N=20). Regression line with a 95% CI is shown.

Abbreviations: ddPCR, droplet digital PCR; RQ-PCR, real-time quantitative PCR; MR, molecular response; CI, confidence interval.

One limitation of the QXDx BCR-ABL %IS ddPCR assay was that it was designed to detect only the e13a2 and e14a2 fusion transcripts, but not e1a2, e19a2, or other rare transcripts. Other potential limitations or disadvantages are its longer turnaround time due to the additional time required for droplet generation (60–70 min/plate) and droplet reading (120–140 min/plate) and the possibility of false positivity, although we observed no false positives [718]. Owing to the limited number of available assay kits, LOD and LOQ were verified at the levels of 0.0023% IS (MR4.64) and 0.0033% IS (MR4.49), and we could not test levels <0.002% IS (MR4.7). Further studies are needed to verify the clinical and laboratory utility of the QXDx BCR-ABL %IS ddPCR assay. In conclusion, this is the first study to evaluate the analytical performance of the novel QXDx BCR-ABL %IS ddPCR assay. With its acceptable analytical performance, the QXDx BCR-ABL %IS ddPCR assay can be a reliable and promising tool for MRD monitoring in CML patients.
  12 in total

1.  Detection and quantification of BCR-ABL1 fusion transcripts by droplet digital PCR.

Authors:  Lawrence J Jennings; David George; Juliann Czech; Min Yu; Loren Joseph
Journal:  J Mol Diagn       Date:  2013-12-31       Impact factor: 5.568

Review 2.  Considerations for digital PCR as an accurate molecular diagnostic tool.

Authors:  Jim F Huggett; Simon Cowen; Carole A Foy
Journal:  Clin Chem       Date:  2014-10-22       Impact factor: 8.327

Review 3.  A review of the European LeukemiaNet recommendations for the management of CML.

Authors:  Michele Baccarani; Fausto Castagnetti; Gabriele Gugliotta; Gianantonio Rosti
Journal:  Ann Hematol       Date:  2015-03-27       Impact factor: 3.673

4.  RT-qPCR and RT-Digital PCR: A Comparison of Different Platforms for the Evaluation of Residual Disease in Chronic Myeloid Leukemia.

Authors:  Mary Alikian; Alexandra S Whale; Susanna Akiki; Kim Piechocki; Celia Torrado; Thet Myint; Simon Cowen; Michael Griffiths; Alistair G Reid; Jane Apperley; Helen White; Jim F Huggett; Letizia Foroni
Journal:  Clin Chem       Date:  2016-12-15       Impact factor: 8.327

Review 5.  Rationale for the recommendations for harmonizing current methodology for detecting BCR-ABL transcripts in patients with chronic myeloid leukaemia.

Authors:  S Branford; N C P Cross; A Hochhaus; J Radich; G Saglio; J Kaeda; J Goldman; T Hughes
Journal:  Leukemia       Date:  2006-09-14       Impact factor: 11.528

6.  Does the frequency of molecular monitoring after tyrosine kinase inhibitor discontinuation affect outcomes of patients with chronic myeloid leukemia?

Authors:  Jee Hyun Kong; Elliott F Winton; Leonard T Heffner; Zhengjia Chen; Amelia A Langston; Brittany Hill; Martha Arellano; Fuad El-Rassi; Audrey Kim; Anand Jillella; Vamsi K Kota; Imre Bodó; Hanna Jean Khoury
Journal:  Cancer       Date:  2017-02-27       Impact factor: 6.860

Review 7.  Standardization and quality control studies of 'real-time' quantitative reverse transcriptase polymerase chain reaction of fusion gene transcripts for residual disease detection in leukemia - a Europe Against Cancer program.

Authors:  J Gabert; E Beillard; V H J van der Velden; W Bi; D Grimwade; N Pallisgaard; G Barbany; G Cazzaniga; J M Cayuela; H Cavé; F Pane; J L E Aerts; D De Micheli; X Thirion; V Pradel; M González; S Viehmann; M Malec; G Saglio; J J M van Dongen
Journal:  Leukemia       Date:  2003-12       Impact factor: 11.528

8.  Evaluation of candidate control genes for diagnosis and residual disease detection in leukemic patients using 'real-time' quantitative reverse-transcriptase polymerase chain reaction (RQ-PCR) - a Europe against cancer program.

Authors:  E Beillard; N Pallisgaard; V H J van der Velden; W Bi; R Dee; E van der Schoot; E Delabesse; E Macintyre; E Gottardi; G Saglio; F Watzinger; T Lion; J J M van Dongen; P Hokland; J Gabert
Journal:  Leukemia       Date:  2003-12       Impact factor: 11.528

9.  Droplet digital PCR for BCR/ABL(P210) detection of chronic myeloid leukemia: A high sensitive method of the minimal residual disease and disease progression.

Authors:  Wen-Jun Wang; Chao-Feng Zheng; Zhuang Liu; Yan-Hong Tan; Xiu-Hua Chen; Bin-Liang Zhao; Guo-Xia Li; Zhi-Fang Xu; Fang-Gang Ren; Yao-Fang Zhang; Jian-Mei Chang; Hong-Wei Wang
Journal:  Eur J Haematol       Date:  2018-07-12       Impact factor: 2.997

Review 10.  Laboratory recommendations for scoring deep molecular responses following treatment for chronic myeloid leukemia.

Authors:  N C P Cross; H E White; D Colomer; H Ehrencrona; L Foroni; E Gottardi; T Lange; T Lion; K Machova Polakova; S Dulucq; G Martinelli; E Oppliger Leibundgut; N Pallisgaard; G Barbany; T Sacha; R Talmaci; B Izzo; G Saglio; F Pane; M C Müller; A Hochhaus
Journal:  Leukemia       Date:  2015-02-05       Impact factor: 11.528

View more
  10 in total

Review 1.  Current and Emerging Applications of Droplet Digital PCR in Oncology: An Updated Review.

Authors:  Susana Olmedillas-López; Rocío Olivera-Salazar; Mariano García-Arranz; Damián García-Olmo
Journal:  Mol Diagn Ther       Date:  2021-11-13       Impact factor: 4.074

2.  MOVER approximated CV: A tool for quantifying precision in ratiometric droplet digital PCR assays.

Authors:  Christian Dide-Agossou; Karen Rossmassler; Justin Reid; Juhi Purohit; Rada M Savic; Payam Nahid; Patrick P J Phillips; Camille M Moore; Nicholas D Walter
Journal:  J Pharm Biomed Anal       Date:  2022-02-16       Impact factor: 3.571

Review 3.  Digital PCR: A Reliable Tool for Analyzing and Monitoring Hematologic Malignancies.

Authors:  Nicoletta Coccaro; Giuseppina Tota; Luisa Anelli; Antonella Zagaria; Giorgina Specchia; Francesco Albano
Journal:  Int J Mol Sci       Date:  2020-04-29       Impact factor: 5.923

Review 4.  Standardization of BCR-ABL1 p210 Monitoring: From Nested to Digital PCR.

Authors:  Aleksandar Jovanovski; Jessica Petiti; Emilia Giugliano; Enrico Marco Gottardi; Giuseppe Saglio; Daniela Cilloni; Carmen Fava
Journal:  Cancers (Basel)       Date:  2020-11-06       Impact factor: 6.639

Review 5.  Digital PCR for BCR-ABL1 Quantification in CML: Current Applications in Clinical Practice.

Authors:  Camille C B Kockerols; Peter J M Valk; Mark-David Levin; Niels Pallisgaard; Jan J Cornelissen; Peter E Westerweel
Journal:  Hemasphere       Date:  2020-11-24

6.  Performance characteristics of the first Food and Drug Administration (FDA)-cleared digital droplet PCR (ddPCR) assay for BCR::ABL1 monitoring in chronic myelogenous leukemia.

Authors:  Dawne N Shelton; Prasanthi Bhagavatula; Nathan Sepulveda; Lan Beppu; Shital Gandhi; Dahui Qin; Scott Hauenstein; Jerald Radich
Journal:  PLoS One       Date:  2022-03-17       Impact factor: 3.240

7.  Discontinuation of tyrosine kinase inhibitors based on BCR-ABL1 monitoring by digital droplet PCR in pediatric chronic myeloid leukemia.

Authors:  Yeojae Kim; Seongkoo Kim; Jong Mi Lee; Ari Ahn; Jae Won Yoo; Jae Wook Lee; Bin Cho; Nack-Gyun Chung; Yonggoo Kim; Myungshin Kim
Journal:  Front Pediatr       Date:  2022-07-27       Impact factor: 3.569

Review 8.  Digital Droplet PCR in Hematologic Malignancies: A New Useful Molecular Tool.

Authors:  Sara Galimberti; Serena Balducci; Francesca Guerrini; Marzia Del Re; Rossella Cacciola
Journal:  Diagnostics (Basel)       Date:  2022-05-24

9.  Nucleophosmin1 and isocitrate dehydrogenase 1 and 2 as measurable residual disease markers in acute myeloid leukemia.

Authors:  Petra Kövy; Zoltán Őrfi; András Bors; András Kozma; László Gopcsa; János Dolgos; Nóra Lovas; József Harasztdombi; Viktor Lakatos; Ágnes Király; Gábor Mikala; István Vályi-Nagy; Péter Reményi; Hajnalka Andrikovics
Journal:  PLoS One       Date:  2021-06-21       Impact factor: 3.752

10.  Treatment-Free Remission in Chronic Myeloid Leukemia Harboring Atypical BCR-ABL1 Transcripts.

Authors:  Matteo Dragani; Jessica Petiti; Giovanna Rege-Cambrin; Enrico Gottardi; Filomena Daraio; Giovanni Caocci; Chiara Aguzzi; Elena Crisà; Giacomo Andreani; Francesca Caciolli; Carmen Fava
Journal:  Mediterr J Hematol Infect Dis       Date:  2020-09-01       Impact factor: 2.576

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.