Analysis of measurable residual disease by IG/TR gene rearrangements: quality assurance and updated EuroMRD guidelines.
Vincent H J van der VeldenIsabel DombrinkJulia AltenGiovanni CazzanigaEmmanuelle ClappierDaniela DrandiCornelia EckertEva FroňkováJeremy HancockMichaela KotrováRebekka KraemerMirkka MontonenHeike PfeiferChristiane PottThorsten RaffHeiko TrautmannHélène CavéBeat W SchäferJacques J M van DongenJan TrkaMonika Brüggemannnull nullPublished in: Leukemia (2024)
Minimal/measurable residual disease (MRD) diagnostics using real-time quantitative PCR analysis of rearranged immunoglobulin and T-cell receptor gene rearrangements are nowadays implemented in most treatment protocols for patients with acute lymphoblastic leukemia (ALL). Within the EuroMRD Consortium, we aim to provide comparable, high-quality MRD diagnostics, allowing appropriate risk-group classification for patients and inter-protocol comparisons. To this end, we set up a quality assessment scheme, that was gradually optimized and updated over the last 20 years, and that now includes participants from around 70 laboratories worldwide. We here describe the design and analysis of our quality assessment scheme. In addition, we here report revised data interpretation guidelines, based on our newly generated data and extensive discussions between experts. The main novelty is the partial re-definition of the "positive below quantitative range" category by two new categories, "MRD low positive, below quantitative range" and "MRD of uncertain significance". The quality assessment program and revised guidelines will ensure reproducible and accurate MRD data for ALL patients. Within the Consortium, similar programs and guidelines have been introduced for other lymphoid diseases (e.g., B-cell lymphoma), for new technological platforms (e.g., digital droplet PCR or Next-Generation Sequencing), and for other patient-specific MRD PCR-based targets (e.g., fusion genes).
Keyphrases
- end stage renal disease
- acute lymphoblastic leukemia
- ejection fraction
- chronic kidney disease
- newly diagnosed
- high resolution
- big data
- prognostic factors
- genome wide
- machine learning
- randomized controlled trial
- peritoneal dialysis
- copy number
- public health
- dna methylation
- deep learning
- high throughput
- transcription factor
- smoking cessation
- artificial intelligence
- real time pcr
- cell free