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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

Articolo
Data di Pubblicazione:
2021
Abstract:
Molecular testing of the BCR-ABL1 transcript via real-time quantitative-polymerase-chainreaction 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.
Tipologia CRIS:
14.a.1 Articolo su rivista
Keywords:
BCR-ABL1/ABL1; IS; Chronic myeloid leukaemia; Molecular response; Q-PCR; SARS-CoV-2 infection
Elenco autori:
Stella, S.; Vitale, S. R.; Massimino, M.; Puma, A.; Tomarchio, C.; Pennisi, M. S.; Tirro, E.; Romano, C.; Martorana, F.; Stagno, F.; Di Raimondo, F.; Manzella, L.
Autori di Ateneo:
STAGNO Fabio
Link alla scheda completa:
https://iris.unime.it/handle/11570/3318690
Pubblicato in:
DIAGNOSTICS
Journal
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