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

Autor: Ekaterina Rebmann Chigrinova, Naomi A. Porret, Martin Andres, Gertrud Wiedemann, Yara Banz, Myriam Legros, Matthias Pollak, Elisabeth Oppliger Leibundgut, Thomas Pabst, Ulrike Bacher
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: BMC Medical Genomics, Vol 15, Iss 1, Pp 1-9 (2022)
Druh dokumentu: article
ISSN: 1755-8794
DOI: 10.1186/s12920-022-01346-1
Popis: Abstract 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.
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