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Record W2595611953 · doi:10.1182/blood.v128.22.489.489

Efficacy of Daratumumab, Lenalidomide and Dexamethasone Versus Lenalidomide and Dexamethasone Alone for Relapsed or Refractory Multiple Myeloma Among Patients with 1 to 3 Prior Lines of Therapy Based on Previous Treatment Exposure: Updated Analysis of Pollux

2016· article· en· W2595611953 on OpenAlexaff
Philippe Moreau, Jonathan L. Kaufman, Heather J. Sutherland, Marc Lalancette, Hila Magen, Shinsuke Iida, Jin Seok Kim, Miles Prince, Tara Cochrane, Nushmia Z. Khokhar, Mary Guckert, Xiang Qin, Albert Oriol

Bibliographic record

VenueBlood · 2016
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsHôtel-Dieu de QuébecUniversity of British Columbia
Fundersnot available
KeywordsLenalidomideDaratumumabDexamethasoneMedicineInternal medicineInterim analysisClinical endpointMultiple myelomaRefractory (planetary science)GastroenterologyIntention-to-treat analysisOncologySurgeryRandomized controlled trialBiology

Abstract

fetched live from OpenAlex

Abstract Introduction: Daratumumab is an anti-CD38 IgGκ monoclonal antibody that has been combined successfully with lenalidomide and dexamethasone. The combination of daratumumab with lenalidomide and dexamethasone (DRd) has been compared with lenalidomide and dexamethasone alone (Rd) in patients (pts) with relapsed or refractory multiple myeloma (RRMM) in a randomized phase 3 study (Dimopoulos MA, et al. N Engl J Med 2016; in press). In a pre-specified interim analysis, the DRd combination demonstrated significantly longer progression-free survival (PFS) in addition to deep and durable responses compared with the Rd arm. We performed subgroup analyses to further examine these efficacy data according to prior treatment exposure. Methods: Pts who received ≥1 prior line of therapy were randomized (1:1) to Rd (lenalidomide: 25 mg PO on Days 1-21 of each 28-day cycle; dexamethasone: 40 mg PO weekly) with or without daratumumab (16 mg/kg IV qw for 8 weeks, q2w for 16 weeks, then q4w until progression). The primary endpoint was PFS. Pts who were refractory to lenalidomide were not eligible. All analyses were performed in pts who received 1 to 3 prior lines of therapy. Results: Median follow-up was 13.5 months. Pts who were lenalidomide-naive prior to the start of study treatment (DRd, n=226; Rd, n=219) demonstrated significantly longer PFS with DRd vs Rd (median: not reached [NR] vs 18.4 months; HR, 0.36; 95% CI, 0.25-0.52; P<0.0001), with estimated 12-month PFS rates of 83.0% vs 59.9%, respectively. ORR was significantly higher with DRd vs Rd (96% vs 79%), with ≥VGPR rates of 76% vs 47% and ≥CR rates of 44% vs 21%, respectively (P<0.0001 for all). In the lenalidomide-exposed subgroup (DRd, n=46; Rd, n=45), median PFS was NR in both treatment groups (HR, 0.49; 95% CI, 0.22-1.12; P=0.0826); estimated 12-month PFS rates were 84.1% vs 63.1%, respectively. ORR was higher with DRd vs Rd but did not reach statistical significance (87% vs 71%; P=0.0729); however, rates of ≥VGPR (78% vs 38%; P=0.0001) and ≥CR (44% vs 12%; P=0.0011) were significantly improved with DRd vs Rd, respectively. For bortezomib-naive pts (DRd, n=44; Rd, n=45), PFS was significantly longer with DRd vs Rd (median: NR vs 15.8 months; HR, 0.34; 95% CI, 0.13-0.86; P=0.0170), with estimated 12-month PFS rates of 85.4% vs 69.2%, respectively. ORR was significantly higher with DRd vs Rd (98% vs 82%; P=0.0158), with trends toward increased rates of ≥VGPR (74% vs 55%; P=0.0544) and ≥CR (42% vs 23%; P=0.0576). In the bortezomib-exposed pts (DRd, n=228; Rd, n=219), median PFS was NR in DRd vs 18.4 months in Rd (HR, 0.35; 95% CI, 0.24-0.50 P<0.0001); estimated 12-month PFS rates were 82.8% vs 58.7%, respectively. Significant differences in ORR (93% vs 77%), rate of ≥VGPR (77% vs 43%) and rate of ≥CR (44% vs 19%) were observed with DRd vs Rd, respectively (P<0.0001 for all). Among bortezomib-refractory patients (DRd, n=54; Rd, n=49), the PFS benefit of DRd compared with Rd was maintained (median: NR vs 10.3 mo, respectively; HR, 0.46; 95% CI, 0.25-0.85; P=0.0117; Figure). The estimated 12-month PFS rates were 70.8% vs 44.4%, respectively. Similar to bortezomib-exposed pts, ORR (92% vs 68%; P=0.0024), rate of ≥VGPR (75% vs 36%; P=0.0001), and rate of ≥CR (46% vs 13%; P=0.0003) were all significantly higher with DRd vs Rd for bortezomib-refractory pts. Updated data will be presented at the meeting. Conclusions: Among pts who received 1 to 3 prior lines of therapy, significantly longer PFS and higher ORR were observed with DRd vs Rd among pts who previously received bortezomib or were refractory to bortezomib or were lenalidomide-naive. Higher rates of deeper responses were observed in pts who previously received lenalidomide or bortezomib. Follow-up is ongoing to assess PFS in pts who received 1 to 3 prior lines of therapy and previously received lenalidomide. These results further strengthen the significant benefit of combining daratumumab with Rd for RRMM. Figure Progression-free Survival in Bortezomib-refractory Patients who Received 1 to 3 Prior Lines of Therapy Figure. Progression-free Survival in Bortezomib-refractory Patients who Received 1 to 3 Prior Lines of Therapy Disclosures Moreau: Janssen: Honoraria, Speakers Bureau; Novartis: Honoraria; Takeda: Honoraria; Celgene: Honoraria; Amgen: Honoraria; Bristol-Myers Squibb: Honoraria. Kaufman:Pharmacyclics: Consultancy; Incyte: Consultancy; Novartis: Consultancy, Research Funding; Celgene: Consultancy, Research Funding. Sutherland:Celgene: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Janssen: Consultancy, Honoraria. Lalancette:Celgene: Honoraria; BMS: Honoraria. Iida:Celgene: Honoraria, Research Funding; Janssen Pharmaceuticals: Honoraria, Research Funding. Prince:Janssen: Honoraria; Celgene: Honoraria. Cochrane:BMS: Other: Received sponsorship to attend international meetings; Novartis: Other: Received sponsorship to attend international meetings; Celgene: Other: Received sponsorship to attend international meetings; Takeda: Other: Received sponsorship to attend international meetings. Khokhar:Janssen: Employment. Guckert:Johnson & Johnson: Equity Ownership; Janssen: Employment. Qin:Janssen: Employment. Oriol:Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees.

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)0.004
metaresearch head score (Gemma)0.005
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 score0.004
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.005
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.032
GPT teacher head0.299
Teacher spread0.266 · 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".

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Citations18
Published2016
Admission routes1
Has abstractyes

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