Immune profiles to predict bortezomib-based treatment response for multiple myeloma patients

Copyright © 2024 Elsevier B.V. All rights reserved..

BACKGROUND: To evaluate the distribution of bone marrow immune cell subsets and their correlation with treatment efficacy in patients with multiple myeloma (MM).

METHODS: We analyzed the bone marrow lymphocyte subsets of 186 newly diagnosed MM patients at diagnosis and their correlation with clinical characteristics. In our study, eight-color flow cytometry, a method commonly used to detect plasma cell phenotypes, was used to analyze seven bone marrow immune cell groups by change gate-strategy.

RESULTS: First, for all the 7 immune cell groups, the percentage of immature B cells was significantly lower in stage III patients than in stage I patients, while the trend was reversed in memory B cells in both the International Staging System(p = 0.004) and Revised International Staging System(p = 0.018). Second, the percentage of naïve B cells were significantly lower in patients with severe anemia, while the percentage of memory B cells had reversed trend. The percentage of immature B cells were lower in patients with Cr ≥ 2 mg/dL than in patients with Cr < 2 mg/dL. Then we followed the treatment efficacy of 152 patients who received four cycles of induction therapy (bortezomib + dexamethasone or bortezomib + lenalidomide + dexamethasone) and analyzed the relationship between bone marrow lymphocyte subsets at the initial stage and treatment response datasets. We found that both the percentage of B cells(p<0.001) and immature B(p = 0.002) were increased in patients who achieved very good partial remission(VGPR) after four cycles of induction therapy. The ROC results indicated the combination of the multiple immune subgroups had predictive values (AUC = 0.802, p<0.001) in the treatment effect after four cycles of induction therapy.

CONCLUSIONS: Overall, these results suggest that the analysis of lymphocyte subsets along with plasma cell immunophenotyping could be a potential index for determining the prognosis of MM patients.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:130

Enthalten in:

International immunopharmacology - 130(2024) vom: 30. März, Seite 111640

Sprache:

Englisch

Beteiligte Personen:

Liu, Zhaoyun [VerfasserIn]
Shen, Hongli [VerfasserIn]
Han, Mei [VerfasserIn]
Zhao, Xianghong [VerfasserIn]
Liu, Hui [VerfasserIn]
Ding, Kai [VerfasserIn]
Song, Jia [VerfasserIn]
Fu, Rong [VerfasserIn]

Links:

Volltext

Themen:

69G8BD63PP
7S5I7G3JQL
B cells
Bortezomib
Dexamethasone
F0P408N6V4
Flow cytometry
Immunocyte
Journal Article
Lenalidomide
Multiple myeloma
T cells

Anmerkungen:

Date Completed 25.03.2024

Date Revised 25.03.2024

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1016/j.intimp.2024.111640

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM368678741