In:
PLOS ONE, Public Library of Science (PLoS), Vol. 18, No. 5 ( 2023-5-26), p. e0285696-
Kurzfassung:
The need for sensitive monitoring of minimal/measurable residual disease (MRD) in multiple myeloma emerged as novel therapies led to deeper responses. Moreover, the potential benefits of blood-based analyses, the so-called liquid biopsy is prompting more and more studies to assess its feasibility. Considering these recent demands, we aimed to optimize a highly sensitive molecular system based on the rearranged immunoglobulin (Ig) genes to monitor MRD from peripheral blood. We analyzed a small group of myeloma patients with the high-risk t(4;14) translocation, using next-generation sequencing of Ig genes and droplet digital PCR of patient-specific Ig heavy chain (IgH) sequences. Moreover, well established monitoring methods such as multiparametric flow cytometry and RT-qPCR of the fusion transcript IgH :: MMSET (IgH and multiple myeloma SET domain-containing protein) were utilized to evaluate the feasibility of these novel molecular tools. Serum measurements of M-protein and free light chains together with the clinical assessment by the treating physician served as routine clinical data. We found significant correlation between our molecular data and clinical parameters, using Spearman correlations. While the comparisons of the Ig-based methods and the other monitoring methods (flow cytometry, qPCR) were not statistically evaluable, we found common trends in their target detection. Regarding longitudinal disease monitoring, the applied methods yielded complementary information thus increasing the reliability of MRD evaluation. We also detected indications of early relapse before clinical signs, although this implication needs further verification in a larger patient cohort.
Materialart:
Online-Ressource
ISSN:
1932-6203
DOI:
10.1371/journal.pone.0285696
DOI:
10.1371/journal.pone.0285696.g001
DOI:
10.1371/journal.pone.0285696.g002
DOI:
10.1371/journal.pone.0285696.g003
DOI:
10.1371/journal.pone.0285696.g004
DOI:
10.1371/journal.pone.0285696.g005
DOI:
10.1371/journal.pone.0285696.g006
DOI:
10.1371/journal.pone.0285696.t001
DOI:
10.1371/journal.pone.0285696.t002
DOI:
10.1371/journal.pone.0285696.t003
DOI:
10.1371/journal.pone.0285696.s001
DOI:
10.1371/journal.pone.0285696.s002
DOI:
10.1371/journal.pone.0285696.s003
DOI:
10.1371/journal.pone.0285696.s004
DOI:
10.1371/journal.pone.0285696.s005
DOI:
10.1371/journal.pone.0285696.s006
DOI:
10.1371/journal.pone.0285696.s007
DOI:
10.1371/journal.pone.0285696.s008
Sprache:
Englisch
Verlag:
Public Library of Science (PLoS)
Publikationsdatum:
2023
ZDB Id:
2267670-3
