A Novel System for Semiautomatic Sample Processing in Chronic Myeloid Leukaemia: Increasing Throughput without Impacting on Molecular Monitoring at Time of SARS-CoV-2 Pandemic.
Stefania StellaSilvia Rita VitaleMichele MassiminoAdriana PumaCristina TomarchioMaria Stella PennisiElena TirròChiara RomanoFederica MartoranaFabio StagnoFrancesco Di RaimondoLivia ManzellaPublished in: Diagnostics (Basel, Switzerland) (2021)
Molecular testing of the BCR-ABL1 transcript via real-time quantitative-polymerase-chain-reaction is the most sensitive approach for monitoring the response to tyrosine-kinase-inhibitors therapy in chronic myeloid leukaemia (CML) patients. Each stage of the molecular procedure has been standardized and optimized, including the total white blood cells (WBCs) and RNA isolation methods. Here, we compare the performance of our current manual protocol to a newly semiautomatic method based on the Biomek i-5 Automated Workstations integrated with the CytoFLEX Flow Cytometer, followed by the automatic QIAsymphony system to facilitate high-throughput processing samples and reduce the hands-on time and the risk associated with SARS-CoV-2. The recovery efficiency was investigated in blood samples from 100 adults with CML. We observe a 100% of concordance between the two methods, with similar total WBCs isolated (median 1.137 × 106 for manual method vs. 1.076 × 106 for semiautomatic system) and a comparable quality and quantity of RNA extracted (median 103 ng/μL with manual isolation kit vs. 99.95 ng/μL with the QIAsymphony system). Moreover, by stratifying patients according to their BCR-ABL1 transcript levels, we obtained similar BCR-ABL1/ABL1IS values and ABL1 copies, and matched samples were assigned to the same group of molecular response. We conclude that this newly semiautomatic workflow has a performance comparable to our more laborious standard manual, which can be replaced, particularly when specimens from patients with suspected or confirmed SARS-CoV-2 infection need to be processed.
Keyphrases
- chronic myeloid leukemia
- tyrosine kinase
- sars cov
- end stage renal disease
- high throughput
- ejection fraction
- chronic kidney disease
- acute lymphoblastic leukemia
- respiratory syndrome coronavirus
- randomized controlled trial
- acute myeloid leukemia
- bone marrow
- machine learning
- single molecule
- induced apoptosis
- prognostic factors
- coronavirus disease
- cell death
- minimally invasive
- cell proliferation
- patient reported
- mass spectrometry
- endoplasmic reticulum stress
- drug induced
- nucleic acid
- neural network