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Correlation of plasma cell assessment by phenotypic methods and molecular profiles by NGS in patients with plasma cell dyscrasias
BACKGROUND: Next-generation sequencing (NGS) detects somatic mutations in a high proportion of plasma cell dyscrasias (PCD), but is currently not integrated into diagnostic routine. We correlated NGS data with degree of bone marrow (BM) involvement by cytomorphology (BMC), histopathology (BMH), and...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9503268/ https://www.ncbi.nlm.nih.gov/pubmed/36138464 http://dx.doi.org/10.1186/s12920-022-01346-1 |
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author | Rebmann Chigrinova, Ekaterina Porret, Naomi A. Andres, Martin Wiedemann, Gertrud Banz, Yara Legros, Myriam Pollak, Matthias Oppliger Leibundgut, Elisabeth Pabst, Thomas Bacher, Ulrike |
author_facet | Rebmann Chigrinova, Ekaterina Porret, Naomi A. Andres, Martin Wiedemann, Gertrud Banz, Yara Legros, Myriam Pollak, Matthias Oppliger Leibundgut, Elisabeth Pabst, Thomas Bacher, Ulrike |
author_sort | Rebmann Chigrinova, Ekaterina |
collection | PubMed |
description | BACKGROUND: Next-generation sequencing (NGS) detects somatic mutations in a high proportion of plasma cell dyscrasias (PCD), but is currently not integrated into diagnostic routine. We correlated NGS data with degree of bone marrow (BM) involvement by cytomorphology (BMC), histopathology (BMH), and multiparameter flow cytometry (MFC) in 90 PCD patients. METHODS: Of the 90 patients the diagnoses comprised multiple myeloma (n = 77), MGUS (n = 7), AL-amyloidosis (n = 4) or solitary plasmocytoma (n = 2). The NGS panel included eight genes CCND1, DIS3, EGR1, FAM46C (TENT5C), FGFR3, PRDM1, TP53, TRAF3, and seven hotspots in BRAF, IDH1, IDH2, IRF4, KRAS, NRAS. RESULTS: Mutations were detected in 64/90 (71%) of cases. KRAS (29%), NRAS (16%) and DIS3 (16%) were most frequently mutated. At least one mutation/sample corresponded to a higher degree of BM involvement with a mean of 11% pathologic PC by MFC (range, 0.002–62%), and ~ 50% (3–100%) as defined by both BMC and BMH. CONCLUSIONS: The probability of detecting a mutation by NGS in the BM was highest in samples with > 10% clonal PC by MFC, or > 20% PC by BMC/ BMH. We propose further evaluation of these thresholds as a practical cut-off for processing of samples by NGS at initial PCD diagnosis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12920-022-01346-1. |
format | Online Article Text |
id | pubmed-9503268 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-95032682022-09-24 Correlation of plasma cell assessment by phenotypic methods and molecular profiles by NGS in patients with plasma cell dyscrasias Rebmann Chigrinova, Ekaterina Porret, Naomi A. Andres, Martin Wiedemann, Gertrud Banz, Yara Legros, Myriam Pollak, Matthias Oppliger Leibundgut, Elisabeth Pabst, Thomas Bacher, Ulrike BMC Med Genomics Research Article BACKGROUND: Next-generation sequencing (NGS) detects somatic mutations in a high proportion of plasma cell dyscrasias (PCD), but is currently not integrated into diagnostic routine. We correlated NGS data with degree of bone marrow (BM) involvement by cytomorphology (BMC), histopathology (BMH), and multiparameter flow cytometry (MFC) in 90 PCD patients. METHODS: Of the 90 patients the diagnoses comprised multiple myeloma (n = 77), MGUS (n = 7), AL-amyloidosis (n = 4) or solitary plasmocytoma (n = 2). The NGS panel included eight genes CCND1, DIS3, EGR1, FAM46C (TENT5C), FGFR3, PRDM1, TP53, TRAF3, and seven hotspots in BRAF, IDH1, IDH2, IRF4, KRAS, NRAS. RESULTS: Mutations were detected in 64/90 (71%) of cases. KRAS (29%), NRAS (16%) and DIS3 (16%) were most frequently mutated. At least one mutation/sample corresponded to a higher degree of BM involvement with a mean of 11% pathologic PC by MFC (range, 0.002–62%), and ~ 50% (3–100%) as defined by both BMC and BMH. CONCLUSIONS: The probability of detecting a mutation by NGS in the BM was highest in samples with > 10% clonal PC by MFC, or > 20% PC by BMC/ BMH. We propose further evaluation of these thresholds as a practical cut-off for processing of samples by NGS at initial PCD diagnosis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12920-022-01346-1. BioMed Central 2022-09-23 /pmc/articles/PMC9503268/ /pubmed/36138464 http://dx.doi.org/10.1186/s12920-022-01346-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Rebmann Chigrinova, Ekaterina Porret, Naomi A. Andres, Martin Wiedemann, Gertrud Banz, Yara Legros, Myriam Pollak, Matthias Oppliger Leibundgut, Elisabeth Pabst, Thomas Bacher, Ulrike Correlation of plasma cell assessment by phenotypic methods and molecular profiles by NGS in patients with plasma cell dyscrasias |
title | Correlation of plasma cell assessment by phenotypic methods and molecular profiles by NGS in patients with plasma cell dyscrasias |
title_full | Correlation of plasma cell assessment by phenotypic methods and molecular profiles by NGS in patients with plasma cell dyscrasias |
title_fullStr | Correlation of plasma cell assessment by phenotypic methods and molecular profiles by NGS in patients with plasma cell dyscrasias |
title_full_unstemmed | Correlation of plasma cell assessment by phenotypic methods and molecular profiles by NGS in patients with plasma cell dyscrasias |
title_short | Correlation of plasma cell assessment by phenotypic methods and molecular profiles by NGS in patients with plasma cell dyscrasias |
title_sort | correlation of plasma cell assessment by phenotypic methods and molecular profiles by ngs in patients with plasma cell dyscrasias |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9503268/ https://www.ncbi.nlm.nih.gov/pubmed/36138464 http://dx.doi.org/10.1186/s12920-022-01346-1 |
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