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Immunophenotypic Profile of Multiple Myeloma: A Tertiary Care Centre Experience

Background  Immunophenotyping and enumeration of plasma cells (PCs) by flow cytometry are deemed to be prognostically significant. However, PCs enumeration by flow cytometry is challenging owing to discrepancy with morphology and PCs loss during sample processing. Enumeration and differentiation of...

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Autores principales: Rath, Asish, Panda, Tribikram, Dass, Jasmita, Seth, Tulika, Mahapatra, Manoranjan, Tyagi, Seema
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Thieme Medical and Scientific Publishers Pvt. Ltd. 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10411076/
https://www.ncbi.nlm.nih.gov/pubmed/37564229
http://dx.doi.org/10.1055/s-0043-1761204
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author Rath, Asish
Panda, Tribikram
Dass, Jasmita
Seth, Tulika
Mahapatra, Manoranjan
Tyagi, Seema
author_facet Rath, Asish
Panda, Tribikram
Dass, Jasmita
Seth, Tulika
Mahapatra, Manoranjan
Tyagi, Seema
author_sort Rath, Asish
collection PubMed
description Background  Immunophenotyping and enumeration of plasma cells (PCs) by flow cytometry are deemed to be prognostically significant. However, PCs enumeration by flow cytometry is challenging owing to discrepancy with morphology and PCs loss during sample processing. Enumeration and differentiation of abnormal plasma cells (APCs) and normal plasma cells (NPCs) is difficult because abnormal antigen expression can be seen in subsets of NPCs. This is particularly true when a limited panel of antibodies are relied upon. Aims and purpose  To study the immunophenotypic profile of newly diagnosed multiple myeloma (MM) cases by flow cytometry and evaluate the sensitivities and specificities of individual antigens and combinations. Methods  We studied immunophenotype of PCs in newly diagnosed MM cases ( n  = 48) and control cases ( n  = 10) by a 6-color, 3-tube flow cytometry panel. The sensitivities and specificities of antigens in MM were evaluated and compared with control cases. Results  Majority of MM cases ( n  = 43) had < 3% NPCs. CD19 was the most sensitive (100%) and CD81 was the most specific marker (100%) for differentiating APCs from NPCs. CD38 MFI came out as a useful marker for APCs identification. In combination, CD19 and CD81 had a higher sensitivity and specificity to detect APCs. Conclusion  NPCs may show aberrant antigen expression. A combination of multiple markers including CD81 and CD38 MFI should be used for accurate APC detection.
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spelling pubmed-104110762023-08-10 Immunophenotypic Profile of Multiple Myeloma: A Tertiary Care Centre Experience Rath, Asish Panda, Tribikram Dass, Jasmita Seth, Tulika Mahapatra, Manoranjan Tyagi, Seema J Lab Physicians Background  Immunophenotyping and enumeration of plasma cells (PCs) by flow cytometry are deemed to be prognostically significant. However, PCs enumeration by flow cytometry is challenging owing to discrepancy with morphology and PCs loss during sample processing. Enumeration and differentiation of abnormal plasma cells (APCs) and normal plasma cells (NPCs) is difficult because abnormal antigen expression can be seen in subsets of NPCs. This is particularly true when a limited panel of antibodies are relied upon. Aims and purpose  To study the immunophenotypic profile of newly diagnosed multiple myeloma (MM) cases by flow cytometry and evaluate the sensitivities and specificities of individual antigens and combinations. Methods  We studied immunophenotype of PCs in newly diagnosed MM cases ( n  = 48) and control cases ( n  = 10) by a 6-color, 3-tube flow cytometry panel. The sensitivities and specificities of antigens in MM were evaluated and compared with control cases. Results  Majority of MM cases ( n  = 43) had < 3% NPCs. CD19 was the most sensitive (100%) and CD81 was the most specific marker (100%) for differentiating APCs from NPCs. CD38 MFI came out as a useful marker for APCs identification. In combination, CD19 and CD81 had a higher sensitivity and specificity to detect APCs. Conclusion  NPCs may show aberrant antigen expression. A combination of multiple markers including CD81 and CD38 MFI should be used for accurate APC detection. Thieme Medical and Scientific Publishers Pvt. Ltd. 2023-01-30 /pmc/articles/PMC10411076/ /pubmed/37564229 http://dx.doi.org/10.1055/s-0043-1761204 Text en The Indian Association of Laboratory Physicians. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. ( https://creativecommons.org/licenses/by-nc-nd/4.0/ ) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License, which permits unrestricted reproduction and distribution, for non-commercial purposes only; and use and reproduction, but not distribution, of adapted material for non-commercial purposes only, provided the original work is properly cited.
spellingShingle Rath, Asish
Panda, Tribikram
Dass, Jasmita
Seth, Tulika
Mahapatra, Manoranjan
Tyagi, Seema
Immunophenotypic Profile of Multiple Myeloma: A Tertiary Care Centre Experience
title Immunophenotypic Profile of Multiple Myeloma: A Tertiary Care Centre Experience
title_full Immunophenotypic Profile of Multiple Myeloma: A Tertiary Care Centre Experience
title_fullStr Immunophenotypic Profile of Multiple Myeloma: A Tertiary Care Centre Experience
title_full_unstemmed Immunophenotypic Profile of Multiple Myeloma: A Tertiary Care Centre Experience
title_short Immunophenotypic Profile of Multiple Myeloma: A Tertiary Care Centre Experience
title_sort immunophenotypic profile of multiple myeloma: a tertiary care centre experience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10411076/
https://www.ncbi.nlm.nih.gov/pubmed/37564229
http://dx.doi.org/10.1055/s-0043-1761204
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