Analytical Quality Controls for ddPCR Detection of Minimal Residual Disease in Acute Lymphoblastic Leukemia
Dan Chen1, Rosemary Sutton1,2, Jodie Giles1
1Children's Cancer Institute, Lowy Cancer Research Centre, UNSW, Sydney, NSW, Australia.
Background:
Droplet digital PCR (ddPCR) is a promising technique for absolute quantification of minimal residual disease (MRD) in acute lymphoblastic leukemia (ALL), but there is no comprehensive quality assurance program to enable its application in clinical laboratories. Current guidelines for real-time quantitative PCR (qPCR) assays targeting immunoglobulin/T-cell receptor (Ig/TCR) gene rearrangements needed adaptation for ddPCR to cover droplet generation, intraassay variation, and interassay variation in the absence of standard curves.
Methods:
Six qPCR MRD assays for Ig/TCR gene rearrangements and a standard albumin control gene assay were migrated to a ddPCR platform and used to test 82 remission samples from 6 patients with ALL. Three analytical quality controls (QC) were developed and evaluated for ddPCR MRD detection.
Results:
Analytical QC for droplet number generation (DN-QC), for albumin ddPCR assay performance (Alb-QC) and for patient-specific marker assay performance (PS-QC) were established with pass/fail limits and corresponding QC rules. Compared to established qPCRs, the ddPCR assays had comparable sensitivity and quantitative range. Overall, there was close agreement (91%) of MRD results between qPCR and ddPCR (κ = 0.86, P < 0.0001) and stronger concordance in 32 quantifiable samples (R2 = 0.97, P < 0.0001).
Conclusions:
The use of this newly developed quality control system for ddPCR MRD testing avoids the need to repeat standard curves and provides reliable results comparable to standardized qPCR methods for MRD detection in ALL.
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