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Extended 5-y follow-up (FU) of phase 3 ELOQUENT-2 study of elotuzumab + lenalidomide/dexamethasone (ELd) vs Ld in relapsed/refractory multiple myeloma (RRMM).

2018· article· en· W2890512508 on OpenAlexaff
Sagar Lonial, Meletios Α. Dimopoulos, Katja Weisel, Darrell White, Philippe Moreau, María‐Victoria Mateos, Jesús F. San Miguel, Kenneth C. Anderson, Ofer Shpilberg, Sebastian Grosicki, Ivan Špıčka, Adam Walter‐Croneck, Hila Magen, Andrew R. Belch, Donna Reece, Meral Beksaç, Suresh G. Shelat, Oumar Sy, Anil Singhal, Paul G. Richardson

Bibliographic record

VenueJournal of Clinical Oncology · 2018
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsUniversity of AlbertaQueen Elizabeth II Health Sciences CentrePrincess Margaret Cancer CentreDalhousie University
Fundersnot available
KeywordsMedicineLenalidomideInternal medicineMultiple myelomaDexamethasoneOncologyGastroenterologyDiscontinuation

Abstract

fetched live from OpenAlex

8040 Background: The immunostimulatory monoclonal antibody elotuzumab exhibits a dual mechanism of action, directly activating natural killer cells and mediating myeloma cell death via antibody-dependent cell-mediated cytotoxicity. In ELOQUENT-2 (NCT01239797), ELd showed sustained reduction in risk of disease progression or death at 2- (30%), 3- (27%), and 4-y (29%) FU vs Ld, and a favorable trend in overall survival (final analysis at 427 deaths). Here we present progression-free survival (PFS) data at 5 y, a milestone timepoint in cancer survival analyses. Methods: RRMM patients (pts) randomized 1:1 to ELd or Ld in 28-d cycles until disease progression/unacceptable toxicity. Coprimary endpoints: PFS and overall response rate (ORR) per independent review committee. Results: In all, 646 pts were randomized to ELd (n = 321) and Ld (n = 325). At database lock (Nov 29, 2017), 13% (ELd) vs 7% (Ld) of pts remained on treatment; discontinuation was mostly due to disease progression (55 vs 56%). At 5-y FU (minimum 60 mo), ELd showed 27% reduction in risk of progression or death vs Ld (HR 0.73, 95% CI 0.60–0.87) and relative improvement of 50% in PFS rate at 5 y (18 vs 12%). Pts with ≥very good partial response (ELd 36% vs Ld 30%) had the greatest reduction in risk of progression/death (HR 0.63, 95% CI 0.44–0.89). ORR was 79% (ELd) vs 66% (Ld). G3–4 AEs included blood and lymphatic system disorders (ELd vs Ld: 46 vs 46%), infections (35 vs 27%), vascular diseases (11 vs 8%), second primary malignancies (SPMs; 10 vs 6%), and cardiac disorders (5 vs 8%). Higher rate of any-grade infection (84 vs 75%) and SPMs (17 vs 11%) may reflect longer median duration of treatment with each agent of the ELd vs Ld regimens (E/L/d vs L/d: 17/17/17 vs 12/12 mo). Fewer deaths occurred with ELd than Ld (193 vs 208), mostly due to disease progression. Conclusions: Elotuzumab (+ Ld) has the longest median FU of an immuno-oncology agent in MM. At the milestone timepoint of 5 y, ELd showed sustained, durable clinically relevant improvement in PFS, a 27% reduction in the risk of progression or death, and a safety profile with minimal incremental AEs with ELd vs Ld. Study funding: BMS. Writing support: L Yee, Caudex, funded by BMS. Clinical trial information: NCT01239797.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.172
GPT teacher head0.502
Teacher spread0.331 · 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".

Quick stats

Citations11
Published2018
Admission routes1
Has abstractyes

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