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Record W4405038598 · doi:10.1182/blood-2024-209131

Incidence and Severity of Hypogammaglobulinemia, and Profile of Infections in Patients with Relapsed Multiple Myeloma Treated with Belantamab Mafodotin

2024· article· en· W4405038598 on OpenAlexaff
Anup J. Devasia, Olsen Chan, Harjot Vohra, Esther Masih‐Khan, Chloe Yang, Sita Bhella, Rodger E. Tiedemann, Vishal Kukreti, Christine I. Chen, Keith Stewart, Donna Reece, Suzanne Trudel, Guido Lancman

Bibliographic record

VenueBlood · 2024
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsUniversity Health NetworkUniversity of TorontoPrincess Margaret Cancer Centre
Fundersnot available
KeywordsHypogammaglobulinemiaMultiple myelomaMedicineIncidence (geometry)Internal medicineGastroenterologyPediatricsImmunologyAntibody

Abstract

fetched live from OpenAlex

Introduction: Preferential expression of B cell maturation antigen (BCMA) in malignant plasma cells has been recognized as a therapeutic target in multiple myeloma (MM). Disruption of BCMA signalling, however, interferes with development of humoral immunity and immunotherapeutic agents, particularly bispecific T cell engagers, directed against this target may increase risk of hypogammaglobulinemia (HGG) and severe infection, in the range of 45-68% with grade 3+ infections. The BCMA-targeting antibody-drug conjugate, belantamab mafodotin (belamaf) has demonstrated benefit in heavily pre-treated MM patients and reported positive results in the phase 3 DREAMM-7 and DREAMM-8 trials. Elucidation of the infection profile of belamaf will aid in optimal infection prophylaxis. Methods: All MM patients treated with belamaf, either alone or in combination, at Princess Margaret Cancer Centre from 2015 to 2023 were retrospectively reviewed. We collected data on baseline characteristics, prior treatments, disease response, HGG, infections, and prophylaxis use, such as antimicrobials or intravenous immunoglobulin (IVIg). Time-to-event calculations were done through the Kaplan-Meier method. The exact Poisson method was used to calculate incidence rates ratios (IRR). This study was approved by the Princess Margaret REB/IRB. Results: Of the 62 patients that received belamaf, the median age was 61 (range 41-83), 50% were female, and 24% had high risk cytogenetics. The median time from diagnosis to treatment was 5.5 years, and patients had received a median of 4 prior lines of therapy (range 1-10). A median of 2 infections (range 0-8) were identified in the year prior to belamaf treatment. Patients either received belamaf monotherapy (n=28) or in combination with other anti-MM therapies (n=34). The median duration of belamaf treatment was 4.8 months (range 0.7-56), median number of doses was 4.5 (range 1-37), median PFS was 8.8 months, and median OS was 28.7 months. The median time on this study (first dose to either progression, death, or lost to follow up) was 8.6 months (range 0.7 -85.4). Among the 43 (69%) patients that responded to treatment, at least moderate HGG (IgG < 400 mg/dL) was observed in 74% and 53% were within the severe range (IgG<200mg/dL), censoring for IVIg use if HGG criteria were not met (n=5). Six (10%) patients received IVIg at the start of treatment. For patients with a disease response, IVIg use was documented in 16 (37%) patients and they received IVIG 39% of their time in the study. Among those with infections, 37 patients received antimicrobial prophylaxis, including antiviral (n=35), antibacterial (n=21), and antifungal medications (n=1). Throughout the 950 patient-months of follow-up, 136 total infections were observed (1.7 per patient-year). 30 grade 3-4 infections (0.38 per patient-year) were seen in 31% of patients (n=19) and the median time to first grade 3-4 infection was 4.1 months among this group. No grade 5 infections were observed. 61% of infections were viral, 24% bacterial, 5% fungal, and 10% were of unknown origin. Sites of infection included the upper respiratory tract (55%), lower respiratory tract (13%), skin (10%), urinary tract (5%), gastrointestinal (4%), bloodstream (2%), other (11%). A total of 7 opportunistic infections were observed, including 3 Pneumocystis jiroveci pneumonia (PJP), 1 progressive multifocal leukoencephalopathy, 1 Listeria meningitis, 1 Mycobacterium avium complex infection, and 1 EBV viremia. For patients with data since 2020, 10 (24%) had positive tests for SARS-CoV-2, with 3 severe cases. Among the grade 3-4 infections, none had an absolute neutrophil count (ANC) <0.5 x109/L (21% had ANC <1.0 x109/L) and 32% had an absolute lymphocyte count (ALC) <0.5 x109/L (79% ALC <1.0 x109/L), while 13% had moderate HGG and 25% had severe HGG. Discussion: HGG was common with belamaf, with about half of responders experiencing severe HGG. Infection rates for all infections and for grade 3+ infections appear lower than with BCMA-directed bispecifics and importantly there were no deaths due to infections. IVIg use was relatively low, although its optimal use in this population requires further study. Opportunistic infections did occur, warranting prophylaxis for PJP and vigilance for atypical viral, bacterial, and mycobacterial infections. Overall, belamaf appears to have a favorable infection profile compared to other BCMA-targeting modalities.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.236
Teacher spread0.229 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2024
Admission routes1
Has abstractyes

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