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Impact of Different Cell Counting Methods in Molecular Monitoring of Chronic Myeloid Leukemia Patients

Background: Detection of BCR-ABL1 transcript level via real-time quantitative-polymerase-chain reaction (Q-PCR) is a clinical routine for disease monitoring, assessing Tyrosine Kinase Inhibitor therapy efficacy and predicting long-term response in chronic myeloid leukemia (CML) patients. For valid Q...

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Autores principales: Stella, Stefania, Vitale, Silvia Rita, Stagno, Fabio, Massimino, Michele, Puma, Adriana, Tomarchio, Cristina, Pennisi, Maria Stella, Tirrò, Elena, Romano, Chiara, Di Raimondo, Francesco, Cacciola, Emma, Cacciola, Rossella, Manzella, Livia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9140187/
https://www.ncbi.nlm.nih.gov/pubmed/35626209
http://dx.doi.org/10.3390/diagnostics12051051
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author Stella, Stefania
Vitale, Silvia Rita
Stagno, Fabio
Massimino, Michele
Puma, Adriana
Tomarchio, Cristina
Pennisi, Maria Stella
Tirrò, Elena
Romano, Chiara
Di Raimondo, Francesco
Cacciola, Emma
Cacciola, Rossella
Manzella, Livia
author_facet Stella, Stefania
Vitale, Silvia Rita
Stagno, Fabio
Massimino, Michele
Puma, Adriana
Tomarchio, Cristina
Pennisi, Maria Stella
Tirrò, Elena
Romano, Chiara
Di Raimondo, Francesco
Cacciola, Emma
Cacciola, Rossella
Manzella, Livia
author_sort Stella, Stefania
collection PubMed
description Background: Detection of BCR-ABL1 transcript level via real-time quantitative-polymerase-chain reaction (Q-PCR) is a clinical routine for disease monitoring, assessing Tyrosine Kinase Inhibitor therapy efficacy and predicting long-term response in chronic myeloid leukemia (CML) patients. For valid Q-PCR results, each stage of the laboratory procedures need be optimized, including the cell-counting method that represents a critical step in obtaining g an appropriate amount of RNA and reliable Q-PCR results. Traditionally, manual or automated methods are used for the detection and enumeration of white blood cells (WBCs). Here, we compared the performance of the manual counting measurement to the flow cytometry (FC)-based automatic counting assay employing CytoFLEX platform. Methods: We tested five different types of measurements: one manual hemocytometer-based count and four FC-based automatic cell-counting methods, including absolute, based on beads, based on 7-amino actinomycin D, combining and associating beads and 7AAD. The recovery efficiency for each counting method was established considering the quality and quantity of total RNA isolated and the Q-PCR results in matched samples from 90 adults with CML. Results: Our analyses showed no consistent bias between the different types of measurements, with comparable number of WBCs counted for each type of measurement. Similarly, we observed a 100% concordance in the amount of RNA extracted and in the Q-PCR cycle threshold values for both BCR-ABL1 and ABL1 gene transcripts in matched counted specimens from all the investigated groups. Overall, we show that FC-based automatic absolute cell counting has comparable performance to manual measurements and allows accurate cell counts without the use of expensive beads or the addition of the time-consuming intercalator 7AAD. Conclusions: This automatic method can replace the more laborious manual workflow, especially when high-throughput isolations from blood of CML patients are needed.
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spelling pubmed-91401872022-05-28 Impact of Different Cell Counting Methods in Molecular Monitoring of Chronic Myeloid Leukemia Patients Stella, Stefania Vitale, Silvia Rita Stagno, Fabio Massimino, Michele Puma, Adriana Tomarchio, Cristina Pennisi, Maria Stella Tirrò, Elena Romano, Chiara Di Raimondo, Francesco Cacciola, Emma Cacciola, Rossella Manzella, Livia Diagnostics (Basel) Article Background: Detection of BCR-ABL1 transcript level via real-time quantitative-polymerase-chain reaction (Q-PCR) is a clinical routine for disease monitoring, assessing Tyrosine Kinase Inhibitor therapy efficacy and predicting long-term response in chronic myeloid leukemia (CML) patients. For valid Q-PCR results, each stage of the laboratory procedures need be optimized, including the cell-counting method that represents a critical step in obtaining g an appropriate amount of RNA and reliable Q-PCR results. Traditionally, manual or automated methods are used for the detection and enumeration of white blood cells (WBCs). Here, we compared the performance of the manual counting measurement to the flow cytometry (FC)-based automatic counting assay employing CytoFLEX platform. Methods: We tested five different types of measurements: one manual hemocytometer-based count and four FC-based automatic cell-counting methods, including absolute, based on beads, based on 7-amino actinomycin D, combining and associating beads and 7AAD. The recovery efficiency for each counting method was established considering the quality and quantity of total RNA isolated and the Q-PCR results in matched samples from 90 adults with CML. Results: Our analyses showed no consistent bias between the different types of measurements, with comparable number of WBCs counted for each type of measurement. Similarly, we observed a 100% concordance in the amount of RNA extracted and in the Q-PCR cycle threshold values for both BCR-ABL1 and ABL1 gene transcripts in matched counted specimens from all the investigated groups. Overall, we show that FC-based automatic absolute cell counting has comparable performance to manual measurements and allows accurate cell counts without the use of expensive beads or the addition of the time-consuming intercalator 7AAD. Conclusions: This automatic method can replace the more laborious manual workflow, especially when high-throughput isolations from blood of CML patients are needed. MDPI 2022-04-22 /pmc/articles/PMC9140187/ /pubmed/35626209 http://dx.doi.org/10.3390/diagnostics12051051 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Stella, Stefania
Vitale, Silvia Rita
Stagno, Fabio
Massimino, Michele
Puma, Adriana
Tomarchio, Cristina
Pennisi, Maria Stella
Tirrò, Elena
Romano, Chiara
Di Raimondo, Francesco
Cacciola, Emma
Cacciola, Rossella
Manzella, Livia
Impact of Different Cell Counting Methods in Molecular Monitoring of Chronic Myeloid Leukemia Patients
title Impact of Different Cell Counting Methods in Molecular Monitoring of Chronic Myeloid Leukemia Patients
title_full Impact of Different Cell Counting Methods in Molecular Monitoring of Chronic Myeloid Leukemia Patients
title_fullStr Impact of Different Cell Counting Methods in Molecular Monitoring of Chronic Myeloid Leukemia Patients
title_full_unstemmed Impact of Different Cell Counting Methods in Molecular Monitoring of Chronic Myeloid Leukemia Patients
title_short Impact of Different Cell Counting Methods in Molecular Monitoring of Chronic Myeloid Leukemia Patients
title_sort impact of different cell counting methods in molecular monitoring of chronic myeloid leukemia patients
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9140187/
https://www.ncbi.nlm.nih.gov/pubmed/35626209
http://dx.doi.org/10.3390/diagnostics12051051
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