Iberdomide (IBER) in Combination with Dexamethasone (DEX) in Relapsed/Refractory Multiple Myeloma (RRMM): Results from the Anti-B-Cell Maturation Antigen (BCMA)-Exposed Cohort of the CC-220-MM-001 Trial
Bibliographic record
Abstract
Introduction: IBER, a novel, oral cereblon E3 ligase modulator (CELMoD®), has greater tumoricidal and immune-stimulatory effects compared with immunomodulatory drugs (IMiDs®), and has shown marked synergy with DEX and other antimyeloma therapies in preclinical models. IBER is being investigated in the phase 1/2 CC-220-MM-001 (NCT02773030) and phase 3 EXCALIBER-RRMM (NCT04975997) studies with different treatment combinations in patients (pts) with RRMM. In phase 1 of CC-220-MM-001, IBER + DEX showed notable efficacy (overall response rate [ORR] 31.9%) and a manageable safety profile. Given the emergence of novel anti-BCMA therapies in RRMM, assessment of pts with prior anti-BCMA exposure is an important consideration. Here we report results from the dose-expansion phase of IBER + DEX in heavily pretreated, triple-class-exposed (including ≥ 1 IMiD agent, ≥ 1 proteasome inhibitor [PI], and ≥ 1 anti-CD38 monoclonal antibody [mAb]) pts with RRMM who had also received prior anti-BCMA therapy. Methods: Eligible pts had RRMM, had received ≥ 3 prior lines of therapy (including lenalidomide or pomalidomide, a PI, an anti-CD38 mAb, and an anti-BCMA therapy) and had documented progressive disease (PD) on or within 60 days of their last antimyeloma therapy (documented PD if chimeric antigen receptor [CAR] T cell therapy was the last therapy). IBER 1.6 mg was given orally on days 1-21 of each 28-day cycle, plus weekly DEX (40 mg; 20 mg if > 75 years of age). The primary objectives were to determine preliminary efficacy (ORR) and safety. Results: As of April 15, 2022, 38 pts had received IBER + DEX in the anti-BCMA-exposed cohort. Median age was 65 (range 50-78) years and median time since initial diagnosis was 7.8 (0.6-24.8) years. High-risk cytogenetics were present in 31.6% of pts (52.6% pts were not evaluable), and 23.7% of pts had extramedullary plasmacytomas. Median number of prior regimens was 7 (4-15). All pts were triple-class exposed. Prior anti-BCMA therapies included CAR T cell therapy (36.8%), antibody-drug conjugates (34.2%), and T-cell engagers (TCEs; 23.7%) (Table); 78.9% of pts were refractory to the last antimyeloma regimen and 84.2% were triple-class refractory. Median follow-up was 8.1 (range 1.5-24.2) months, with a median number of 3.5 (1-19) cycles received and 21.1% of pts continuing treatment. Discontinuation was due mainly to PD, reported in 68.4% of pts. ORR (≥ partial response) was 36.8%, with 2 (5.3%) complete responses, 5 (13.2%) very good partial responses, and 7 (18.4%) partial responses. Clinical benefit rate (≥ minimal response) was 39.5%. Responses were observed regardless of prior anti-BCMA therapy (Figure; updated data will be presented at the congress). Median duration of response was 7.5 (95% confidence interval [CI] 3.2-not reached) months, median progression-free survival was 2.4 (95% CI 2.1-4.2) months, and median time to response was 1.4 (range 0.9-5.4) months. Grade (Gr) 3/4 treatment-emergent adverse events (TEAEs) occurred in 30 (78.9%) pts and were mostly hematologic; most frequent (≥ 20% pts) were neutropenia (50.0%, with 5.3% cases of febrile neutropenia), anemia (28.9%), leukopenia (23.7%), and thrombocytopenia (21.1%). Gr 3/4 infections occurred in 23.7% of pts and included pneumonia (21.1%); the occurrence of other Gr 3/4 non-hematologic TEAEs was low and included hypokalemia, hypertension, and mood alterations (all 5.3%). Two (5.3%) deaths were reported (due to sepsis and PD) which were not considered related to study treatment. IBER dose interruptions and reductions occurred in 24 (63.2%) and 7 (18.4%) pts, respectively. No pts discontinued IBER due to TEAEs. Immunophenotyping showed comparable immunodeficiency (low absolute B-cell counts, T-cell counts, and CD4:CD8 ratio) between anti-BCMA-exposed pts and triple-class-exposed pts without prior anti-BCMA exposure; this was more pronounced following TCE-based therapies. Importantly, IBER + DEX remained immune-stimulatory in this population, increasing T- and NK-cell proliferation and T-cell activation. Conclusions: IBER + DEX showed encouraging efficacy and safety in pts with triple-class-exposed RRMM and prior anti-BCMA therapy. The results are comparable to those from Cohort D of the same study, which is assessing IBER + DEX in pts with triple-class refractory RRMM. These findings support further development of IBER in RRMM, including in anti-BCMA-exposed pts. Figure 1View largeDownload PPTFigure 1View largeDownload PPT Close modal
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".