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Multiparameter Flow Cytometry to Detect Hematogones and to Assess B-lymphocyte clonality in Bone Marrow Samples from Patients with Non-Hodgkin Lymphomas
Hematogones are precursors of B-lymphocytes detected in small numbers in the bone marrow. Flow cytometry is the most useful tool to identify hematogones and, so far, 4-color methods have been published. In addition, flow cytometry is used in the diagnosis and follow-up of lymphomas. We developed a f...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PAGEPress Publications, Pavia, Italy
2014
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4091289/ https://www.ncbi.nlm.nih.gov/pubmed/25013717 http://dx.doi.org/10.4081/hr.2014.5381 |
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author | Carulli, Giovanni Ottaviano, Virginia Guerri, Valentina Giuntini, Stefano Sammuri, Paola Ciancia, Eugenio M. Azzarà, Antonio |
author_facet | Carulli, Giovanni Ottaviano, Virginia Guerri, Valentina Giuntini, Stefano Sammuri, Paola Ciancia, Eugenio M. Azzarà, Antonio |
author_sort | Carulli, Giovanni |
collection | PubMed |
description | Hematogones are precursors of B-lymphocytes detected in small numbers in the bone marrow. Flow cytometry is the most useful tool to identify hematogones and, so far, 4-color methods have been published. In addition, flow cytometry is used in the diagnosis and follow-up of lymphomas. We developed a flow cytometric 7-color method to enumerate hematogones and to assess B-lymphocyte clonality for routine purposes. We evaluated 171 cases of B-cell non-Hodgkin lymphomas, either at diagnosis or in the course of follow-up. By our diagnostic method, which was carried out by the combination K/λ/CD20/CD19/CD10/CD45/CD5, we were able to detect hematogones in 97.6% of samples and to distinguish normal B-lymphocytes, neoplastic lymphocytes and hematogones in a single step. The percentage of hematogones showed a significant inverse correlation with the degree of neoplastic infiltration and, when bone marrow samples not involved by disease were taken into consideration, resulted higher in patients during follow-up than in patients evaluated at diagnosis. |
format | Online Article Text |
id | pubmed-4091289 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | PAGEPress Publications, Pavia, Italy |
record_format | MEDLINE/PubMed |
spelling | pubmed-40912892014-07-10 Multiparameter Flow Cytometry to Detect Hematogones and to Assess B-lymphocyte clonality in Bone Marrow Samples from Patients with Non-Hodgkin Lymphomas Carulli, Giovanni Ottaviano, Virginia Guerri, Valentina Giuntini, Stefano Sammuri, Paola Ciancia, Eugenio M. Azzarà, Antonio Hematol Rep Article Hematogones are precursors of B-lymphocytes detected in small numbers in the bone marrow. Flow cytometry is the most useful tool to identify hematogones and, so far, 4-color methods have been published. In addition, flow cytometry is used in the diagnosis and follow-up of lymphomas. We developed a flow cytometric 7-color method to enumerate hematogones and to assess B-lymphocyte clonality for routine purposes. We evaluated 171 cases of B-cell non-Hodgkin lymphomas, either at diagnosis or in the course of follow-up. By our diagnostic method, which was carried out by the combination K/λ/CD20/CD19/CD10/CD45/CD5, we were able to detect hematogones in 97.6% of samples and to distinguish normal B-lymphocytes, neoplastic lymphocytes and hematogones in a single step. The percentage of hematogones showed a significant inverse correlation with the degree of neoplastic infiltration and, when bone marrow samples not involved by disease were taken into consideration, resulted higher in patients during follow-up than in patients evaluated at diagnosis. PAGEPress Publications, Pavia, Italy 2014-06-26 /pmc/articles/PMC4091289/ /pubmed/25013717 http://dx.doi.org/10.4081/hr.2014.5381 Text en ©Copyright G. Carulli et al. http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Article Carulli, Giovanni Ottaviano, Virginia Guerri, Valentina Giuntini, Stefano Sammuri, Paola Ciancia, Eugenio M. Azzarà, Antonio Multiparameter Flow Cytometry to Detect Hematogones and to Assess B-lymphocyte clonality in Bone Marrow Samples from Patients with Non-Hodgkin Lymphomas |
title | Multiparameter Flow Cytometry to Detect Hematogones and to Assess B-lymphocyte clonality in Bone Marrow Samples from Patients with Non-Hodgkin Lymphomas |
title_full | Multiparameter Flow Cytometry to Detect Hematogones and to Assess B-lymphocyte clonality in Bone Marrow Samples from Patients with Non-Hodgkin Lymphomas |
title_fullStr | Multiparameter Flow Cytometry to Detect Hematogones and to Assess B-lymphocyte clonality in Bone Marrow Samples from Patients with Non-Hodgkin Lymphomas |
title_full_unstemmed | Multiparameter Flow Cytometry to Detect Hematogones and to Assess B-lymphocyte clonality in Bone Marrow Samples from Patients with Non-Hodgkin Lymphomas |
title_short | Multiparameter Flow Cytometry to Detect Hematogones and to Assess B-lymphocyte clonality in Bone Marrow Samples from Patients with Non-Hodgkin Lymphomas |
title_sort | multiparameter flow cytometry to detect hematogones and to assess b-lymphocyte clonality in bone marrow samples from patients with non-hodgkin lymphomas |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4091289/ https://www.ncbi.nlm.nih.gov/pubmed/25013717 http://dx.doi.org/10.4081/hr.2014.5381 |
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