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The ALLgorithMM: How to define the hemodilution of bone marrow samples in lymphoproliferative diseases
INTRODUCTION: Minimal residual disease (MRD) is commonly assessed in bone marrow (BM) aspirate. However, sample quality can impair the MRD measurement, leading to underestimated residual cells and to false negative results. To define a reliable and reproducible method for the assessment of BM hemodi...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9582597/ https://www.ncbi.nlm.nih.gov/pubmed/36276072 http://dx.doi.org/10.3389/fonc.2022.1001048 |
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author | Vigliotta, Ilaria Armuzzi, Silvia Barone, Martina Solli, Vincenza Pistis, Ignazia Borsi, Enrica Taurisano, Barbara Mazzocchetti, Gaia Martello, Marina Poletti, Andrea Sartor, Chiara Rizzello, Ilaria Pantani, Lucia Tacchetti, Paola Papayannidis, Cristina Mancuso, Katia Rocchi, Serena Zamagni, Elena Curti, Antonio Arpinati, Mario Cavo, Michele Terragna, Carolina |
author_facet | Vigliotta, Ilaria Armuzzi, Silvia Barone, Martina Solli, Vincenza Pistis, Ignazia Borsi, Enrica Taurisano, Barbara Mazzocchetti, Gaia Martello, Marina Poletti, Andrea Sartor, Chiara Rizzello, Ilaria Pantani, Lucia Tacchetti, Paola Papayannidis, Cristina Mancuso, Katia Rocchi, Serena Zamagni, Elena Curti, Antonio Arpinati, Mario Cavo, Michele Terragna, Carolina |
author_sort | Vigliotta, Ilaria |
collection | PubMed |
description | INTRODUCTION: Minimal residual disease (MRD) is commonly assessed in bone marrow (BM) aspirate. However, sample quality can impair the MRD measurement, leading to underestimated residual cells and to false negative results. To define a reliable and reproducible method for the assessment of BM hemodilution, several flow cytometry (FC) strategies for hemodilution evaluation have been compared. METHODS: For each BM sample, cells populations with a well-known distribution in BM and peripheral blood - e.g., mast cells (MC), immature (IG) and mature granulocytes (N) – have been studied by FC and quantified alongside the BM differential count. RESULTS: The frequencies of cells’ populations were correlated to the IG/N ratio, highlighting a mild correlation with MCs and erythroblasts (R=0.25 and R=0.38 respectively, with p-value=0.0006 and 0.0000052), whereas no significant correlation was found with B or T-cells. The mild correlation between IG/N, erythroblasts and MCs supported the combined use of these parameters to evaluate BM hemodilution, hence the optimization of the ALLgorithMM. Once validated, the ALLgorithMM was employed to evaluate the dilution status of BM samples in the context of MRD assessment. Overall, we found that 32% of FC and 52% of Next Generation Sequencing (NGS) analyses were MRD negative in samples resulted hemodiluted (HD) or at least mildly hemodiluted (mHD). CONCLUSIONS: The high frequency of MRD-negative results in both HD and mHD samples implies the presence of possible false negative MRD measurements, impairing the correct assessment of patients’ response to therapy and highlighs the importance to evaluate BM hemodilution. |
format | Online Article Text |
id | pubmed-9582597 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95825972022-10-21 The ALLgorithMM: How to define the hemodilution of bone marrow samples in lymphoproliferative diseases Vigliotta, Ilaria Armuzzi, Silvia Barone, Martina Solli, Vincenza Pistis, Ignazia Borsi, Enrica Taurisano, Barbara Mazzocchetti, Gaia Martello, Marina Poletti, Andrea Sartor, Chiara Rizzello, Ilaria Pantani, Lucia Tacchetti, Paola Papayannidis, Cristina Mancuso, Katia Rocchi, Serena Zamagni, Elena Curti, Antonio Arpinati, Mario Cavo, Michele Terragna, Carolina Front Oncol Oncology INTRODUCTION: Minimal residual disease (MRD) is commonly assessed in bone marrow (BM) aspirate. However, sample quality can impair the MRD measurement, leading to underestimated residual cells and to false negative results. To define a reliable and reproducible method for the assessment of BM hemodilution, several flow cytometry (FC) strategies for hemodilution evaluation have been compared. METHODS: For each BM sample, cells populations with a well-known distribution in BM and peripheral blood - e.g., mast cells (MC), immature (IG) and mature granulocytes (N) – have been studied by FC and quantified alongside the BM differential count. RESULTS: The frequencies of cells’ populations were correlated to the IG/N ratio, highlighting a mild correlation with MCs and erythroblasts (R=0.25 and R=0.38 respectively, with p-value=0.0006 and 0.0000052), whereas no significant correlation was found with B or T-cells. The mild correlation between IG/N, erythroblasts and MCs supported the combined use of these parameters to evaluate BM hemodilution, hence the optimization of the ALLgorithMM. Once validated, the ALLgorithMM was employed to evaluate the dilution status of BM samples in the context of MRD assessment. Overall, we found that 32% of FC and 52% of Next Generation Sequencing (NGS) analyses were MRD negative in samples resulted hemodiluted (HD) or at least mildly hemodiluted (mHD). CONCLUSIONS: The high frequency of MRD-negative results in both HD and mHD samples implies the presence of possible false negative MRD measurements, impairing the correct assessment of patients’ response to therapy and highlighs the importance to evaluate BM hemodilution. Frontiers Media S.A. 2022-10-06 /pmc/articles/PMC9582597/ /pubmed/36276072 http://dx.doi.org/10.3389/fonc.2022.1001048 Text en Copyright © 2022 Vigliotta, Armuzzi, Barone, Solli, Pistis, Borsi, Taurisano, Mazzocchetti, Martello, Poletti, Sartor, Rizzello, Pantani, Tacchetti, Papayannidis, Mancuso, Rocchi, Zamagni, Curti, Arpinati, Cavo and Terragna https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Vigliotta, Ilaria Armuzzi, Silvia Barone, Martina Solli, Vincenza Pistis, Ignazia Borsi, Enrica Taurisano, Barbara Mazzocchetti, Gaia Martello, Marina Poletti, Andrea Sartor, Chiara Rizzello, Ilaria Pantani, Lucia Tacchetti, Paola Papayannidis, Cristina Mancuso, Katia Rocchi, Serena Zamagni, Elena Curti, Antonio Arpinati, Mario Cavo, Michele Terragna, Carolina The ALLgorithMM: How to define the hemodilution of bone marrow samples in lymphoproliferative diseases |
title | The ALLgorithMM: How to define the hemodilution of bone marrow samples in lymphoproliferative diseases |
title_full | The ALLgorithMM: How to define the hemodilution of bone marrow samples in lymphoproliferative diseases |
title_fullStr | The ALLgorithMM: How to define the hemodilution of bone marrow samples in lymphoproliferative diseases |
title_full_unstemmed | The ALLgorithMM: How to define the hemodilution of bone marrow samples in lymphoproliferative diseases |
title_short | The ALLgorithMM: How to define the hemodilution of bone marrow samples in lymphoproliferative diseases |
title_sort | allgorithmm: how to define the hemodilution of bone marrow samples in lymphoproliferative diseases |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9582597/ https://www.ncbi.nlm.nih.gov/pubmed/36276072 http://dx.doi.org/10.3389/fonc.2022.1001048 |
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