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Record W4416775922 · doi:10.1007/s12325-025-03409-y

Comparative Efficacy of Talquetamab vs. Real-World Physician’s Choice of Treatment in Triple-Class-Exposed Relapsed/Refractory Multiple Myeloma: Updated Analyses of MonumenTAL-1 vs. LocoMMotion/MoMMent

2025· article· en· W4416775922 on OpenAlexaff
Hermann Einsele, Philippe Moreau, Nizar J. Bahlis, Manisha Bhutani, Laure Vincent, Lionel Karlin, Aurore Perrot, Hartmut Goldschmidt, Niels W.C.J. van de Donk, Enrique M. Ocio, Joaquín Martínez‐López, Paula Rodríguez‐Otero, Dominik Dytfeld, Andrzej Jakubowiak, Carolina Schinke, Britta Besemer, Sébastien Anguille, Salomon Manier, Leo Rasche, Raphael Teipel, Christof Scheid, Charlotte Pawlyn, Michèle Cavo, Joris Diels, Francesca Ghilotti, Bonnie Lau, Thomas Renaud, Oleksiy Orel, Fenny Ong, David Fernández Ramos, Eric M. Ammann, Trilok Parekh, Claire Albrecht, Katja Weisel, María-Victoria Mateos

Bibliographic record

VenueAdvances in Therapy · 2025
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsInstitute of Cancer Research
FundersJohnson and JohnsonUniversidad de SalamancaRegeneron PharmaceuticalsGenentechCelgeneAdaptive BiotechnologiesKaryopharm TherapeuticsGilead SciencesSanofiPfizerAmgen
KeywordsIdentifierRheumatologyMEDLINEComparative effectiveness researchIdentification (biology)

Abstract

fetched live from OpenAlex

INTRODUCTION: Talquetamab, a bispecific antibody targeting GPRC5D, is approved for triple-class exposed (TCE) relapsed/refractory multiple myeloma (RRMM) based on results from MonumenTAL-1. We report updated indirect comparisons of talquetamab vs. real-world physician's choice of treatment (RWPC) in patients with TCE RRMM. METHODS: External control arms were created for three MonumenTAL-1 cohorts, two without prior T cell redirection (TCR) therapies who received subcutaneously administered talquetamab 0.4 mg/kg weekly (QW; n = 143) or 0.8 mg/kg every other week (Q2W; n = 154) and one with prior B cell maturation antigen (BCMA) TCR (n = 75) who received either schedule (median follow-up [mFU] 38.2, 31.2, and 30.3 months, respectively), from two real-world studies, LocoMMotion (mFU 26.4 months) and MoMMent (mFU 27.1 months). Imbalances in baseline covariates were adjusted using inverse probability weighting and multivariable regression. The relative effectiveness of talquetamab vs. RWPC was estimated for overall response rate (ORR), ≥ very good partial response (VGPR) rate, and ≥ complete response (CR) rate; odds ratios and relative response ratios (RRs) were derived from weighted logistic regression. Hazard ratios (HRs) for duration of response (DOR), progression-free survival (PFS), time to next treatment (TTNT), and overall survival (OS) were estimated using a weighted Cox proportional-hazards model. RESULTS: In the TCR-naïve cohort, talquetamab Q2W had significantly improved outcomes vs. RWPC; RRs were ORR, 2.58; ≥ VGPR, 5.01; ≥ CR, 52.22 and HRs were DOR, 0.52 (p = 0.0011); PFS, 0.47; TTNT, 0.46; OS, 0.35 (all p < 0.0001). Results were similar in the QW cohort. The prior TCR cohort had favorable outcomes with talquetamab vs. RWPC; RRs were ORR, 3.03; ≥ VGPR, 4.88 and HRs were DOR, 0.09, (p = 0.0004); PFS, 0.30 (p < 0.0001); TTNT, 0.26 (p < 0.0001) and OS, 0.37 (p = 0.0020). CONCLUSION: With longer follow-up, these comparative analyses further demonstrate the clinical benefit of talquetamab over RWPC in patients with TCE RRMM, irrespective of prior TCR therapy. TRIAL REGISTRATION: MonumenTAL‑1, ClinicalTrials.gov identifier NCT03399799/NCT04634552; LocoMMotion, ClinicalTrials.gov identifier NCT04035226; MoMMent, ClinicalTrials.gov identifier NCT05160584.

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)0.008
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.004
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.058
GPT teacher head0.410
Teacher spread0.352 · 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 designNon-randomized 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

Citations2
Published2025
Admission routes1
Has abstractyes

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