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

Author:

Alikian Mary12,Whale Alexandra S3,Akiki Susanna4,Piechocki Kim4,Torrado Celia1,Myint Thet1,Cowen Simon5,Griffiths Michael4,Reid Alistair G12,Apperley Jane26,White Helen7,Huggett Jim F38,Foroni Letizia26

Affiliation:

1. Imperial Molecular Pathology, Imperial Healthcare Trust, Hammersmith Hospital, London, UK

2. Centre for Haematology, Faculty of Medicine, Imperial College London, London, UK

3. Molecular and Cell Biology Team, LGC, Queens Road, Teddington, UK

4. West Midlands Regional Genetics Laboratories, Birmingham Women's NHS Foundation Trust, Birmingham, UK

5. Statistics Team, LGC, Queens Road, Teddington, UK

6. Clinical Haematology, Imperial College Healthcare NHS Trust, London, UK

7. National Genetics Reference Laboratory (Wessex), Salisbury District Hospital, Salisbury, UK

8. School of Biosciences & Medicine, Faculty of Health & Medical Science, University of Surrey, Guildford, UK

Abstract

Abstract BACKGROUND Tyrosine kinase inhibitors (TKIs) are the cornerstone of successful clinical management of patients with chronic myeloid leukemia (CML). Quantitative monitoring of the percentage of the fusion transcript BCR-ABL1 (breakpoint cluster region–c-abl oncogene 1, non-receptor tyrosine kinase) BCR-ABL1IS (%BCR-ABL1IS) by reverse transcription–quantitative PCR (RT-qPCR) is the gold standard strategy for evaluating patient response to TKIs and classification into prognostic subgroups. However, this approach can be challenging to perform in a reproducible manner. Reverse-transcription digital PCR (RT-dPCR) is an adaptation of this method that could provide the robust and standardized workflow needed for truly standardized patient stratification. METHODS BCR-ABL1 and ABL1 transcript copy numbers were quantified in a total of 102 samples; 70 CML patients undergoing TKI therapy and 32 non-CML individuals. 3 commercially available digital PCR platforms (QS3D, QX200 and Raindrop) were compared with the platform routinely used in the clinic for RT-qPCR using the EAC (Europe Against Cancer) assay. RESULTS Measurements on all instruments correlated well when the %BCR-ABL1IS was ≥0.1%. In patients with residual disease below this level, greater variations were measured both within and between instruments limiting comparable performance to a 4 log dynamic range. CONCLUSIONS RT-dPCR was able to quantify low-level BCR-ABL1 transcript copies but was unable to improve sensitivity below the level of detection achieved by RT-qPCR. However, RT-dPCR was able to perform these sensitive measurements without use of a calibration curve. Adaptions to the protocol to increase the amount of RNA measured are likely to be necessary to improve the analytical sensitivity of BCR-ABL testing on a dPCR platform.

Funder

The Leuka Charity

National Measurment System

UK National Measurement System

UK National Measurement Office

Publisher

Oxford University Press (OUP)

Subject

Biochemistry, medical,Clinical Biochemistry

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