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  3. Correlation of plasma cell assessment by phenotypic methods and molecular profiles by NGS in patients with plasma cell dyscrasias.
 

Correlation of plasma cell assessment by phenotypic methods and molecular profiles by NGS in patients with plasma cell dyscrasias.

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BORIS DOI
10.48350/173251
Date of Publication
September 23, 2022
Publication Type
Article
Division/Institute

Universitätsklinik fü...

Institut für Patholog...

Universitätsklinik fü...

Author
Rebmann-Chigrinova, Ekaterina
Universitätsklinik für Hämatologie und Hämatologisches Zentrallabor
Porret, Naomi
Universitätsklinik für Hämatologie und Hämatologisches Zentrallabor
Andres, Martin
Universitätsklinik für Hämatologie und Hämatologisches Zentrallabor
Wiedemann, Gertrud
Universitätsklinik für Hämatologie und Hämatologisches Zentrallabor
Banz Wälti, Yara Sarahorcid-logo
Institut für Pathologie
Legros, Myriam
Universitätsklinik für Hämatologie und Hämatologisches Zentrallabor
Pollak, Matthias
Universitätsklinik für Hämatologie und Hämatologisches Zentrallabor
Oppliger Leibundgut, Elisabeth
Universitätsklinik für Hämatologie und Hämatologisches Zentrallabor
Pabst, Thomas Niklaus
Universitätsklinik für Medizinische Onkologie
Bacher, Vera Ulrike
Universitätsklinik für Hämatologie und Hämatologisches Zentrallabor
Subject(s)

600 - Technology::610...

500 - Science::570 - ...

Series
BMC medical genomics
ISSN or ISBN (if monograph)
1755-8794
Publisher
BioMed Central
Language
English
Publisher DOI
10.1186/s12920-022-01346-1
PubMed ID
36138464
Uncontrolled Keywords

Bone marrow aspirate ...

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.
Handle
https://boris-portal.unibe.ch/handle/20.500.12422/87711
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s12920-022-01346-1.pdftextAdobe PDF985.59 KBAttribution (CC BY 4.0)publishedOpen
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