External quality assessment of p210 BCR-ABL1 transcript quantification by RT-qPCR: Findings and recommendations

New practice of BCR::ABL1 standardization system based on p210 and p190 BCR::ABL1 reference materials

Quantification of BCR::ABL1 monitors minimal residual disease, thus critical for patient stratification. While significant progress has been made in enhancing the accuracy of p210 BCR::ABL1 quantification, no equivalent standardization has been conducted for p190 BCR::ABL1. Therefore, we developed p190 BCR::ABL1 reference materials to calibrate the quantitative process through an innovative plasmid-based calibration strategy. Then, we further explored the use of p190 and p210 reference materials to standardize tests in 159 laboratories across China and assessed their detection capability utilizing quality assessment samples. Results suggested that after calibration, the coefficient of variation of detection results decreased from 50.8 %-57.4 % to 24.9 %-36.4 % for p190, and from 37.6 %-49.0 % to 19.1 %-28.5 % for p210. The percentage of laboratories within ± 2-fold of the target values increased from 77.1 %, 76.4 %, 73.2 %, and 74.5 % to 94.3 %, 95.5 %, 92.4 %, and 91.1 % for p190 samples 2023S21-2023S24, and from 72.3 %, 86.2 %, 79.2 %, and 81.1 % to 98.1 %, 99.4 %, 98.1 %, and 96.2 % for p210 samples 2023S11-2023S14. Overall, our study successfully developed and employed p190 and p210 reference materials to promote accuracy and comparability of BCR::ABL1 quantification among laboratories.

Establishment of genomic RNA reference materials for BCR-ABL1 P210 measurement

Quantitation of BCR-ABL1 with the quantitative reverse transcriptase polymerase chain reaction (RT-PCR) is very important in monitoring chronic myeloid leukemia (CML), which relies on an RNA reference material. A genomic RNA reference material (RM) containing the BCR-ABL1 P210 fusion mutation was developed, and an absolute quantitative method based on one-step reverse transcription digital PCR (RT-dPCR) was established for characterizing the RM. The proposed dPCR method demonstrates high accuracy and excellent analytical sensitivity, as shown by the linear relationship (0.94 < slope < 1.04, R2≧0.99) between the measured and nominal values of b2a2, b3a2, and ABL1-ref within the dynamic range (104-101 copies/reaction). Homogeneity and stability assessment based on dPCR indicated that the RM was homogeneous and stable for 24 months at -80 °C. The RM was used to evaluate inter-laboratory reproducibility in eight different laboratories, demonstrating that participating laboratories could consistently produce copy concentrations of b3a2 and ABL1-ref, as well as the BCR-ABL1/ABL1 ratio (CV < 2.0%). This work suggests that the RM can be employed in establishing metrological traceability for detecting mutations in the BCR-ABL1 fusion gene, as well as in quality control for testing laboratories.

One-Step Multiplexed Droplet Digital Polymerase Chain Reaction for Quantification of p190 BCR-ABL1 Fusion Transcript in B-Lymphoblastic Leukemia

CONTEXT.—

Quantification and detection of the t(9;22) (BCR-ABL1) translocation in chronic myelogenous leukemia and B-lymphoblastic leukemia are important for directing treatment protocols and monitoring disease relapse. However, quantification using traditional reverse transcriptase quantitative polymerase chain reaction (RT-qPCR) is dependent on a calibration curve and is prone to laboratory-to-laboratory variation. Droplet digital polymerase chain reaction (ddPCR) is a novel method that allows for highly sensitive absolute quantification of transcript copy number. As such, ddPCR is a good candidate for disease monitoring, an assay requiring reproducible measurements with high specificity and sensitivity.

OBJECTIVE.—

To compare results of ddPCR and RT-qPCR BCR-ABL1 fusion transcript measurements of patient samples and determine if either method is superior.

DESIGN.—

We optimized and standardized a 1-step multiplexed ddPCR assay to detect BCR-ABL1 p190 and ABL1 e10 transcripts. The ddPCR optimization included varying cycle number and primer concentration with standardization of droplet generation and droplet number and analyses to improve data sensitivity. Following optimization, ddPCR measurements were performed on clinical samples and compared with traditional RT-qPCR results.

RESULTS.—

Droplet digital polymerase chain reaction was able to detect the BCR-ABL1 p190 transcript to 0.001% (1:10-5) with a calculated limit of detection and limit of quantitation of 4.1 and 5.3 transcripts, respectively. When tested on patient samples, ddPCR was able to identify 20% more positives than a laboratory-developed 2-step RT-qPCR assay.

CONCLUSIONS.—

Droplet digital polymerase chain reaction demonstrated increased detection of BCR-ABL1 compared with RT-qPCR. Improved detection of BCR-ABL1 p190 and the potential for improved standardization across multiple laboratories makes ddPCR a suitable method for the disease monitoring in patients with acute B-lymphoblastic leukemia.