MétaCan
Menu
← Back to cohort
Record W4417042055 · doi:10.1182/blood-2025-lba-6

Phase 3 randomized study of teclistamab plus daratumumab versus investigator’s choice of daratumumab and dexamethasone with either pomalidomide or Bortezomib (DPd/DVd) in patients (Pts) with relapsed refractory multiple myeloma (RRMM): Results of majestec-3

2025· article· en· W4417042055 on OpenAlexaff
María-Victoria Mateos, Nizar J. Bahlis, Aurore Perrot, Ajay K. Nooka, Jin Lu, Charlotte Pawlyn, Roberto Mina, Gastón Caeiro, Alain Kentos, Vânia Hungria, Donna Reece, Ting Niu, Anne K. Mylin, Charlotte T. Hansen, Raphael Teipel, Britta Besemer, Meletios Α. Dimopoulos, Elena Zamagni, Satoshi Yoshihara, Kihyun Kım, Chang‐Ki Min, Paulus A.F. Geerts, Elena van Leeuwen-Segarceanu, Agata Tyczyńska, Juan Luis Reguera, Magnus Johansson, Markus Hansson, Mehmet Turgut, Mark Grey, Surbhi Sidana, Paula Rodríguez‐Otero, Joaquín Martínez‐López, Hamza Hashmi, Rachel Kobos, Weili Sun, Kristen Lantz, Anne Seifert, Debbie Briseno-Toomey, Lisa O’Rourke, Ingrid Maria Cecilia Rubin, Diego Vieyra, Lijuan Kang, Luciano J. Costa

Bibliographic record

VenueBlood · 2025
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsPrincess Margaret Cancer CentreUniversity of Calgary
Fundersnot available
KeywordsDaratumumabPomalidomideLenalidomideMultiple myelomaBortezomibDexamethasoneRefractory (planetary science)DosingRegimen

Abstract

fetched live from OpenAlex

Abstract Introduction: In RRMM, increasing rates of pt attrition and decreasing durability of responses with each line of therapy (LOT) necessitate early treatment (tx) with the most effective therapies. Immunotherapies that are widely accessible across different MM tx settings have the potential to change the trajectory of RRMM. Teclistamab (Tec), the first approved BCMA×CD3 bispecific antibody (BsAb) for heavily pretreated RRMM, provided deep, durable responses in MajesTEC-1, with improved efficacy and safety in earlier LOTs. Daratumumab (Dara), a standard-of-care (SoC) foundational CD38 targeted therapy with direct on-tumor activity, has been shown to deplete immunosuppressive T-cells and expand cytotoxic T-cells, creating an immune-permissive microenvironment for synergistic Tec-mediated killing of MM cells. MajesTEC-3 (NCT05083169) evaluates Tec-Dara vs SoC DPd/DVd in RRMM. We report initial results for this first phase 3 study of BsAb therapy in MM. Methods: Eligible pts had 1-3 prior LOTs including a PI and lenalidomide (Len; pts with 1 prior LOT must have been Len-refractory) with progressive disease (PD) on or after the last LOT. Pts with prior BCMA-directed therapy or refractory to anti-CD38 were excluded; prior anti-CD38 exposure was permitted. Pts were randomized 1:1 to Tec-Dara or DPd/DVd. The Tec-Dara group received 28-day cycles (C) of Tec (1.5 mg/kg QW in C1-2 [C1 preceded by the approved step-up dose schedule]; 3 mg/kg Q2W in C3-6; and 3 mg/kg Q4W in C7+) with Dara; steroids were not required after C1 Day 8. Tec and Dara dosing were aligned with the approved Dara schedule. DPd/DVd were administered per approved schedules. Progression-free survival (PFS) by IRC was the primary endpoint; secondary endpoints included complete response or better (≥CR), overall response, minimal residual disease (MRD) negativity (10–5; next-generation sequencing), overall survival (OS), time to worsening of symptoms (MySIm-Q), and safety. Results: 587 pts were randomized (Tec-Dara, n=291; DPd/DVd, n=296). Median (range) age was 64 (25-88) yrs, median number of prior LOTs was 2 (1-3). With 34.5-mo median follow-up, Tec-Dara significantly improved PFS vs DPd/DVd (HR, 0.17; 95% CI, 0.12-0.23; P<0.0001); mPFS was NR and 18.1 mo, and 36-mo PFS rate was 83.4% and 29.7%, respectively. PFS benefit was consistent across all prespecified and clinically relevant pt subgroups, including age ≥75 yrs, Len-refractory, high-risk cytogenetics, ≥60% bone marrow plasma cells, soft-tissue plasmacytomas, and anti-CD38 exposed. Significantly higher rates of ≥CR (81.8% vs 32.1%; OR, 9.56; 95% CI, 6.47-14.14), overall response (89.0% vs 75.3%; OR, 2.65; 95% CI, 1.68-4.18), and MRD-negativity (58.4% vs 17.1%; OR, 6.78; 95% CI, 4.53-10.15) were observed with Tec-Dara (P<0.0001). There were 45 deaths with Tec-Dara and 96 with DPd/DVd, primarily due to PD (4.6%; 20.3%). OS significantly favored Tec-Dara (HR, 0.46; 95% CI, 0.32-0.65; P<0.0001), including across all prespecified subgroups. The 36-mo OS rates were 83.3% and 65.0%, respectively and >90% of Tec-Dara pts alive at 6 mo were also alive at 30 mo. Median time to worsening of MM symptoms was NR with Tec-Dara vs 39.9 mo with DPd/DVd (HR, 0.50; 95% CI, 0.34-0.72; P=0.0002). At data cutoff, 49.4% of pts remained on study tx (Tec-Dara, 71.0%; DPd/DVd, 28.3%). Median tx duration was twice as long with Tec-Dara vs DPd/DVd (32.4 vs 16.1 mo). Frequency of grade 3/4 (Tec-Dara, 95.1%; DPd/DVd, 96.6%) and grade 5 (7.8%; 6.2%) treatment-emergent adverse events (TEAEs), were comparable (safety set: Tec-Dara, n=283; DPd/DVd, n=290). Serious TEAEs occurred in 70.7% Tec-Dara and 62.4% DPd/DVd pts; tx discontinuations due to TEAEs were low (4.6% vs 5.5%). Any grade infections occurred in 96.5% and 84.1% of Tec-Dara and DPd/DVd pts, respectively; grade 3/4 infections occurred in 54.1% and 43.4%. New onset grade ≥3 infections decreased over time, coinciding with transition to Q4W dosing and supported by antimicrobial and Ig prophylaxis guidance. CRS rate was 60.1% (grade 1/2: 44.2%/15.9%) and ICANS was 1.1% with Tec-Dara. Conclusion: We demonstrate the clinically remarkable and statistically significant PFS and OS benefits of Tec-Dara vs SoC triplets in RRMM, with 83.4% of Tec-Dara pts alive and progression-free at 3 yrs. Infections with Tec-Dara were well managed with established protocols. This highly effective, off-the-shelf, immunotherapy combination represents a new SoC for RRMM as early as first relapse.

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)0.003
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0070.001

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 head0.028
GPT teacher head0.318
Teacher spread0.291 · 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 designRandomized trial
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".

Quick stats

Citations9
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueBlood→Same topicMultiple Myeloma Research and Treatments→French-language works237,207→