High-dimensional profiling reveals predominant depletion of NK cell effector phenotypes in relapsed/refractory multiple myeloma patients treated with anti-CD38 therapy

Abstract Background: Anti-CD38 monoclonal antibodies (mAbs) have become a standard part of multiple myeloma (MM) therapy. Their activity is mostly mediated by NK cells through antibody-dependent cellular cytotoxicity (ADCC). Although the association of increased CD38+ NK cells with worse outcomes was demonstrated, the underlying mechanisms of resistance to anti-CD38 mAbs remain poorly understood. Aims: To identify immune effector cell subsets predictive of treatment efficacy and driving resistance to anti-CD38 mAbs. Methods: Bone marrow (BM) samples (N=111) of relapsed/refractory MM (RRMM) treated with anti-CD38-based regimens (CD38-IMID [N=64]; CD38-PI [N=33]; CD38-mono [N=14] were assessed at baseline (BASE; N=110) and progression (PD; N=23), using conventional EuroFlow 8-color MM panel, followed by high-dimensional spectral cytometryesigned for deep profiling of lymphoid subsets and their activation/exhaustion status. Subset proportions were expressed as percentage of lymphocytes, unless stated otherwise. Results: Patients were treated predominantly with daratumumab over isatuximab (92%, 82%, and 100% of CD38-IMID, CD38-PI, and CD38-mono regimens). Treatment groups differed by line of therapy (p <0.001), with CD38-IMID mainly used in line 2 (56%), CD38-PI in lines 2-3 (55%, 30%), and CD38-mono in line ≥4 (86%). Median progression-free survival (PFS) for the CD38-IMID group was 37 months, compared to CD38-PI (16 months; p = 0.012) and CD38-mono (3 months; p <0.001). First, RRMM BM (N=110) collected at BASE were assessed by the EuroFlow MM panel. Lymphocyte pool consisted of median 13.9% B (CD19+CD56-), 19.7% NK (CD19-CD56+), and 61.6% T cell (CD19-CD56-) lineage. 79.7% NK cells were CD38+, while only 29.2% T cells were CD38+. Elevated total NK cells were observed in the PD group (p=0.07). This difference was driven by increased CD38+ NK cell proportion (p <0.028). Lasso-penalized multivariable Cox regression adjusted for therapy group and all immune subsets identified higher percentages of CD38+ NK cells and mature B cells (CD19+CD38low/−CD81low) as significant predictors of PFS at BASE. Increased CD38+ NK cells were associated with worse PFS (HR 1.65, p=0.003), while higher levels of mature B cells correlated with improved PFS (HR 0.79, p=0.002). These findings remained significant also in uniform CD38-IMID group (p <0.007). To better characterize the immune landscape driving these associations, detailed subset distribution was explored using spectral cytometry at BASE (N=14). CD16-, CD16+CD57-, CD16+CD57+ cells represented median 1.68%, 4.26%, and 6.17% of lymphocytes. Comparing CD38+/- NK compartments, CD16+CD57− subset was significantly enriched in the CD38+ NK pool (p=0.006). Gating on 8 other key NK markers revealed that KLRB1+ (p=0.063) cells were also enriched in the CD38+ pool, whereas NKG2C+ cells were more frequent in the CD38- pool (p <0.001). To further investigate the impact of anti-CD38 mAbs on immune cells, paired BASE and PD samples were analyzed using conventional (N=23) and spectral (N=14) panels. Basic exploratory analysis using both methods showed that proportion of total T cells increased (p <0.017), while total B cells (p <0.012) and total NK cells (p=0.023) dropped at PD. Furthermore, both CD38+ NK and CD38+ T cells decreased (p <0.004). Finally, spectral cytometry was utilized in both BASE and PD to identify NK subsets most affected by anti-CD38 therapy. As expected, most reduced NK cells in lymphocytes were CD38+ (median drop, log2-fold change: 6.84%, 1.72; p=0.008), followed by CD16+CD57+ (5.85%; 1.31; p=0.023), KIR2DL+ (5.11%; 1.52; p=0.008), KLRB1+ (4.58%, 1.46; p=0.008), and CD16+CD57- cells (2.42%, 1.04; p=0.023). Conclusion: This study provides in-depth analysis of immune cells in anti-CD38 mAb-treated patients using conventional and spectral cytometry. Higher BASE proportion of CD38+ NK cells was associated with worse PFS, while higher levels of mature B cells predicted better outcomes. Post-therapy, CD38+ NK and CD38+ T cells, total NK cells, and total B cells decreased, while total T cells increased. Importantly, deeper profiling revealed CD16+CD57- and KLRB1+ cells among those enriched in the CD38+ NK pool at BASE. Post-treatment, CD16+CD57+, KIR2DL+, and KLRB1+ NK cells showed the greatest reduction. These results indicate a complex interplay of fratricide, resulting in preferential depletion of mature effector NK cell phenotypes by anti-CD38 therapy.

Authors

Institutions

Publication Details

Journal
Blood
Published
2025-11-03
DOI
https://doi.org/10.1182/blood-2025-5720
Primary Topic
Multiple Myeloma Research and Treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

High-dimensional profiling reveals predominant depletion of NK cell effector phenotypes in relapsed/refractory multiple myeloma patients treated with anti-CD38 therapy

Benjamin T. Diamond, Jana Mihályová, Veronika Kapustová, Brian A. Walker et al.
Blood
Multiple Myeloma Research and Treatments
article

High-dimensional profiling reveals predominant depletion of NK cell effector phenotypes in relapsed/refractory multiple myeloma patients treated with anti-CD38 therapy

Benjamin T. Diamond, Jana Mihályová, Veronika Kapustová, Brian A. Walker, Lucie Broskevičová, Juli R. Bagó, Tereza Ševčíková, Michal Šimíček, Michael Durante, Jan Vrána, Ondrej Venglár, Tereza Popková, Ola Landgren, Ludmila Muroňová, Roman Hájek, David Žihala, Daniel Bilek, Tomas Jelinek, Eva Radova, Marketa Kudelkova, Karina Merendova
article en

Abstract

Abstract Background: Anti-CD38 monoclonal antibodies (mAbs) have become a standard part of multiple myeloma (MM) therapy. Their activity is mostly mediated by NK cells through antibody-dependent cellular cytotoxicity (ADCC). Although the association of increased CD38+ NK cells with worse outcomes was demonstrated, the underlying mechanisms of resistance to anti-CD38 mAbs remain poorly understood. Aims: To identify immune effector cell subsets predictive of treatment efficacy and driving resistance to anti-CD38 mAbs. Methods: Bone marrow (BM) samples (N=111) of relapsed/refractory MM (RRMM) treated with anti-CD38-based regimens (CD38-IMID [N=64]; CD38-PI [N=33]; CD38-mono [N=14] were assessed at baseline (BASE; N=110) and progression (PD; N=23), using conventional EuroFlow 8-color MM panel, followed by high-dimensional spectral cytometryesigned for deep profiling of lymphoid subsets and their activation/exhaustion status. Subset proportions were expressed as percentage of lymphocytes, unless stated otherwise. Results: Patients were treated predominantly with daratumumab over isatuximab (92%, 82%, and 100% of CD38-IMID, CD38-PI, and CD38-mono regimens). Treatment groups differed by line of therapy (p <0.001), with CD38-IMID mainly used in line 2 (56%), CD38-PI in lines 2-3 (55%, 30%), and CD38-mono in line ≥4 (86%). Median progression-free survival (PFS) for the CD38-IMID group was 37 months, compared to CD38-PI (16 months; p = 0.012) and CD38-mono (3 months; p <0.001). First, RRMM BM (N=110) collected at BASE were assessed by the EuroFlow MM panel. Lymphocyte pool consisted of median 13.9% B (CD19+CD56-), 19.7% NK (CD19-CD56+), and 61.6% T cell (CD19-CD56-) lineage. 79.7% NK cells were CD38+, while only 29.2% T cells were CD38+. Elevated total NK cells were observed in the PD group (p=0.07). This difference was driven by increased CD38+ NK cell proportion (p <0.028). Lasso-penalized multivariable Cox regression adjusted for therapy group and all immune subsets identified higher percentages of CD38+ NK cells and mature B cells (CD19+CD38low/−CD81low) as significant predictors of PFS at BASE. Increased CD38+ NK cells were associated with worse PFS (HR 1.65, p=0.003), while higher levels of mature B cells correlated with improved PFS (HR 0.79, p=0.002). These findings remained significant also in uniform CD38-IMID group (p <0.007). To better characterize the immune landscape driving these associations, detailed subset distribution was explored using spectral cytometry at BASE (N=14). CD16-, CD16+CD57-, CD16+CD57+ cells represented median 1.68%, 4.26%, and 6.17% of lymphocytes. Comparing CD38+/- NK compartments, CD16+CD57− subset was significantly enriched in the CD38+ NK pool (p=0.006). Gating on 8 other key NK markers revealed that KLRB1+ (p=0.063) cells were also enriched in the CD38+ pool, whereas NKG2C+ cells were more frequent in the CD38- pool (p <0.001). To further investigate the impact of anti-CD38 mAbs on immune cells, paired BASE and PD samples were analyzed using conventional (N=23) and spectral (N=14) panels. Basic exploratory analysis using both methods showed that proportion of total T cells increased (p <0.017), while total B cells (p <0.012) and total NK cells (p=0.023) dropped at PD. Furthermore, both CD38+ NK and CD38+ T cells decreased (p <0.004). Finally, spectral cytometry was utilized in both BASE and PD to identify NK subsets most affected by anti-CD38 therapy. As expected, most reduced NK cells in lymphocytes were CD38+ (median drop, log2-fold change: 6.84%, 1.72; p=0.008), followed by CD16+CD57+ (5.85%; 1.31; p=0.023), KIR2DL+ (5.11%; 1.52; p=0.008), KLRB1+ (4.58%, 1.46; p=0.008), and CD16+CD57- cells (2.42%, 1.04; p=0.023). Conclusion: This study provides in-depth analysis of immune cells in anti-CD38 mAb-treated patients using conventional and spectral cytometry. Higher BASE proportion of CD38+ NK cells was associated with worse PFS, while higher levels of mature B cells predicted better outcomes. Post-therapy, CD38+ NK and CD38+ T cells, total NK cells, and total B cells decreased, while total T cells increased. Importantly, deeper profiling revealed CD16+CD57- and KLRB1+ cells among those enriched in the CD38+ NK pool at BASE. Post-treatment, CD16+CD57+, KIR2DL+, and KLRB1+ NK cells showed the greatest reduction. These results indicate a complex interplay of fratricide, resulting in preferential depletion of mature effector NK cell phenotypes by anti-CD38 therapy.

BloodVol. 146(Supplement 1)
University of Ostrava (CZ), University Hospital Ostrava (CZ), Sylvester Comprehensive Cancer Center (US)
Openalex Percentile: Top 48%
Multiple Myeloma Research and Treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.