Final Analysis of Overall Survival from the First Trial
Bibliographic record
Abstract
Abstract Background: In the pivotal FIRST trial, at the pre-specified planned analysis for progression-free survival (PFS), treatment (Tx) with lenalidomide plus low-dose dexamethasone until disease progression (Rd continuous) improved outcomes for transplant-ineligible patients (pts) with newly diagnosed multiple myeloma (NDMM) compared with melphalan, prednisone, and thalidomide (MPT), as well as Rd for 18 cycles (Rd18; Benboubker, NEJM 2014). Rd18 was added as a third arm to investigate whether Rd continuous Tx would control progression of NDMM longer than Rd18. Here, we present the final analysis of the overall survival (OS) data from the trial. Methods: Transplant-ineligible pts with NDMM were randomized 1:1:1 to Rd continuous (with lenalidomide given on days 1-21 of 28-day cycles until disease progression), Rd18 (with lenalidomide given on days 1-21 of eighteen 28-day cycles), or MPT (twelve 42-day cycles); both Rd18 and MPT were 72 weeks in duration. The primary endpoint was PFS and the key secondary endpoint was OS; the primary comparison was Rd continuous vs MPT. Other secondary endpoints included time to second therapy (TTST) and safety. Time from randomization to second progression or death (PFS2) was an exploratory analysis. Response assessment used for PFS and PFS2 analysis was determined by investigators based on International Myeloma Working Group criteria. Results: At the time of cutoff for the final OS analysis (January 21, 2016), 52 of the 535 pts in the Rd continuous arm and none of the pts in the Rd18 (n = 541) and MPT (n = 547) arms continued to receive Tx. The median follow-up for surviving pts was 67.0 months (range, 0-86.8 months). In the pre-specified final OS analysis for the primary comparison, a statistically significant advantage in OS was shown with Rd continuous over MPT (hazard ratio [HR], 0.78; 95% confidence interval [CI], 0.67-0.92; P = .00234; Table). OS for Rd continuous vs Rd18 was evaluated (HR, 1.02; 95% CI, 0.86-1.20). In this updated analysis, a PFS advantage continued to be seen for Rd continuous vs MPT (HR, 0.69; 95% CI, 0.59-0.79; P < .00001) and vs Rd18 (HR, 0.70; 95% CI, 0.60-0.81). Median TTST was longer for Rd continuous vs MPT (HR, 0.63; 95% CI, 0.54-0.73; Table). More pts in the Rd18 and MPT arms started second-line therapy (n = 377 and 381, respectively) compared with the Rd continuous arm (n = 299). Pts received a variety of Tx at progression, with bortezomib-based regimens the most common in the Rd continuous (n = 179; 59.9%), Rd18 (n = 208; 55.2%), and MPT (n = 170; 44.6%) arms. Pts who received bortezomib after Rd continuous or Rd18 had better outcomes than those who received it after MPT. PFS2 for Rd continuous was improved vs MPT (HR, 0.74; 95% CI, 0.64-0.85). Grade 3/4 adverse events (AEs) occurred in 86.3%, 80.2%, and 88.7% of the 532, 540, and 541 pts in the safety populations of the Rd continuous, Rd18, and MPT arms, respectively; the most common grade 3/4 AEs were neutropenia (29.5%, 26.5%, and 44.9%) and infections (31.6%, 21.9%, and 17.2%), and no new safety signals were seen compared with earlier analyses. Study discontinuation was most commonly due to disease progression and was less common in the Rd continuous vs Rd18 and MPT arms (50.7% vs 66.9% and 61.6%, respectively). Discontinuation due to AEs was similar across the Rd continuous, Rd18, and MPT arms (12.0%, 13.1%, and 13.9%). Solid tumor second primary malignancies (SPMs) occurred in 6.0, 6.9%, and 5.9% of pts, and hematologic malignancies occurred in 0.8%, 0.4%, and 2.6% of pts in the Rd continuous, Rd18, and MPT arms, respectively. Conclusions: Rd continuous significantly prolonged PFS and OS, and improved other secondary endpoints compared with MPT in transplant-ineligible pts with NDMM. Rd continuous also showed a PFS benefit compared with Rd18, delaying the time to next Tx. PFS2 outcomes suggest that Rd does not induce resistant relapses. Few hematologic malignancies occurred in the Rd arms, and the incidence of SPMs was similar between Rd continuous and Rd18. Rd continuous remains a standard of care for transplant-ineligible pts with NDMM. Disclosures Facon: Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other: travel and expense, Speakers Bureau. Dimopoulos:Genesis: Consultancy, Honoraria; Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees. Dispenzieri:Celgene: Research Funding. Belch:Takeda: Honoraria; Janssen: Honoraria; Amgen: Honoraria; Celgene: Honoraria. Cavo:Bristol-Myers Squibb: Consultancy, Honoraria; Janssen-Cilag: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Celgene: Consultancy, Honoraria; Millennium: Consultancy, Honoraria. Weisel:BMS: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Janssen: Consultancy, Honoraria, Research Funding; Celgene: Consultancy, Honoraria, Research Funding; Onyx: Consultancy, Research Funding; Takeda: Consultancy, Research Funding; Novartis: Consultancy, Research Funding. Ludwig:Janssen: Speakers Bureau; BMS: Speakers Bureau; Takeda: Research Funding, Speakers Bureau; Amgen: Research Funding, Speakers Bureau. Bahlis:BMS: Honoraria; Amgen: Consultancy, Honoraria; Celgene: Consultancy, Honoraria, Other: Travel Expenses, Research Funding, Speakers Bureau; Janssen: Consultancy, Honoraria, Other: Travel Expenses, Research Funding, Speakers Bureau; Onyx: Consultancy, Honoraria. Delforge:Janssen: Honoraria; Celgene: Honoraria; Amgen: Honoraria. Cavenagh:Amgen: Consultancy, Speakers Bureau; Novartis: Consultancy, Speakers Bureau; Janssen: Consultancy, Speakers Bureau; Celgene: Consultancy, Speakers Bureau. Geraldes:Celgene: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; BMS: Consultancy, Honoraria; Janssen: Consultancy, Honoraria. Oriol:Janssen: 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; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees. De La Rubia:Amgen, Bristol, Celgene, Janssen: Consultancy, Speakers Bureau. White:Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Moreau:Celgene: Honoraria; Amgen: Honoraria; Takeda: Honoraria; Novartis: Honoraria; Janssen: Honoraria, Speakers Bureau; Bristol-Myers Squibb: Honoraria. Attal:janssen: Consultancy, Research Funding; amgen: Consultancy, Research Funding; celgene: Consultancy, Research Funding; sanofi: Consultancy. Ervin-Haynes:Celgene: Employment, Equity Ownership. Chen:Celgene: Employment, Equity Ownership. Houck:Celgene: Employment. Hulin:celgene: Honoraria; Bristol: Honoraria; Janssen: Honoraria; Amgen: Honoraria; takeda: Honoraria. Benboubker:Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees; 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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.031 | 0.038 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.013 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.019 | 0.003 |
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 source (direct Gemma or distilled Codex), 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".