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Record W2988277843 · doi:10.1182/blood-2019-124349

Pomalidomide + Bortezomib + Low-Dose Dexamethasone after 1 Prior Line of Therapy in Patients with Lenalidomide-Pretreated Multiple Myeloma: Subanalysis of the Phase 3 Optimismm Trial By Patient Age and Prior Stem Cell Transplant

2019· article· en· W2988277843 on OpenAlexaff
Meletios Α. Dimopoulos, Katja Weisel, Philippe Moreau, Larry D. Anderson, Darrell White, Jesús F. San Miguel, Pieter Sonneveld, Monika Engelhardt, Matthew Jenner, Alessandro Corso, Jan Dürig, Michel Pavic, Morten Salomo, Eva Casal, Ruiyun Jiang, Shankar Srinivasan, Tuong Vi Nguyen, Tsvetan Biyukov, Teresa Peluso, Paul G. Richardson

Bibliographic record

VenueBlood · 2019
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsHôpital FleurimontQueen Elizabeth II Health Sciences CentreDalhousie University
Fundersnot available
KeywordsLenalidomideMedicinePomalidomideBortezomibPopulationDexamethasoneInternal medicineClinical endpointMultiple myelomaPhases of clinical researchSurgeryGastroenterologyClinical trial

Abstract

fetched live from OpenAlex

BACKGROUND Lenalidomide (LEN), an established treatment (Tx) for newly diagnosed multiple myeloma, is routinely administered until disease progression. Therefore, patients (pts) for whom LEN is no longer an option at first relapse, including LEN-refractory pts, are a clinically relevant and growing population. Tx of these pts remains challenging, as they have been poorly represented in phase 3 clinical trials. OPTIMISMM (NCT01734928), a phase 3 trial specifically designed to address this population, demonstrated significantly improved progression-free survival (PFS) with pomalidomide (POM), bortezomib (BORT), and low-dose dexamethasone (PVd) compared with BORT and low-dose dexamethasone (Vd) in pts who received 1-3 prior regimens and were 100% LEN pretreated (70% LEN refractory) (Richardson PG, et al. Lancet Oncol. 2019;20:781-794). Here, we report the efficacy and safety of PVd in pts treated after 1 prior line of therapy (LOT) according to age, prior stem cell transplant (SCT), and in pts with high-risk cytogenetic abnormalities (HR CAs). METHODS Pts were randomized 1:1 to receive PVd or Vd in 21-day cycles. POM 4 mg/day was given on days 1-14 (PVd arm only); bortezomib (BORT) 1.3 mg/m2 was given on days 1, 4, 8, and 11 of cycles 1-8 and on days 1 and 8 of cycles 9+; and dexamethasone 20 mg/day (10 mg/day for pts aged > 75 yrs) was given on the days of and after BORT. Key eligibility criteria included ≥ 2 cycles of prior LEN, including LEN-refractory pts. The primary endpoint was PFS. RESULTS As of October 26, 2017, 226 of 559 pts enrolled in OPTIMISMM had 1 prior LOT; 100 pts were aged ≤ 65 yrs (49 PVd, 51 Vd) and 126 were aged > 65 yrs (62 PVd, 64 Vd). In pts aged ≤ 65 yrs (PVd vs Vd), the median age was 58.0 vs 59.0 yrs, 63.3% vs 47.1% were male, 55.1% vs 51.0% were LEN refractory, and 83.7% vs 72.5% had prior BORT. In pts aged > 65 yrs, the median age was 73.0 vs 71.5 yrs, 58.1% vs 51.6% were male, 59.7% vs 60.9% were LEN refractory, and 41.9% vs 46.9% had prior BORT. After 1 prior LOT, PVd vs Vd significantly improved PFS in pts aged ≤ 65 yrs (median, 22.0 vs 13.1 mos; P = .0305) and those > 65 yrs (median, 17.6 vs 9.9 mos; P = .0348) (Figure). The overall response rate (ORR) was significantly higher with PVd vs Vd across the age groups (Table). The rate of ≥ very good partial response (VGPR) was 65.3% vs 17.6% in pts aged ≤ 65 yrs and 58.1% vs 26.6% in pts aged > 65 yrs. Comparable PFS and ORR outcomes were noted for an age cutoff of ≤ 70 yrs (median PFS, 17.8 vs 13.1 mos with PVd [n = 71] vs Vd [n = 78]; ORR, 88.7% [≥ VGPR, 62.0%] vs 55.1% [≥ VGPR, 21.8%], respectively) vs > 70 yrs (median PFS, 16.5 vs 9.5 mos with PVd [n = 40] vs Vd [n = 37]; ORR, 92.5% [≥ VGPR, 60.0%] vs 54.1% [≥ VGPR, 24.3%], respectively). These PFS and ORR findings were similar to those reported in pts with and pts without prior SCT (Table). Median PFS was 22.0 mos with PVd vs 13.8 mos with Vd in pts with prior SCT (P = .0241) and 16.5 vs 9.5 mos, respectively, in pts without prior SCT (P = .0454). Pts with HR CAs (n = 32 [18 PVd, 14 Vd]), defined as having a del(17p), t(4;14), or t(14;16), had a median PFS of 14.7 mos with PVd and 9.9 mos with Vd. The most common grade 3/4 treatment-emergent adverse events (TEAEs) with PVd vs Vd were neutropenia (49.0% vs 6.3%), infections (30.6% vs 14.6%), and thrombocytopenia (26.5% vs 18.8%) in pts aged ≤ 65 yrs and neutropenia (25.8% vs 12.9%), infections (27.4% vs 16.1%), and thrombocytopenia (14.5% vs 22.6%) in pts aged > 65 yrs. CONCLUSIONS In pts with LEN-pretreated relapsed or refractory multiple myeloma at first relapse, PVd reduced the risk of progression or death by 50% in pts aged ≤ 65 yrs and by 43% in pts aged > 65 yrs vs Vd. Additionally, across age subgroups, second-line Tx with PVd vs Vd significantly improved ORR and led to deeper responses. Similar findings were observed in pts with and pts without prior SCT. PVd also benefited pts with HR CAs vs Vd. Overall, TEAEs with PVd were generally consistent with the known profiles of the constituent agents. These data in pts at first relapse continue to demonstrate that PVd is effective and safe as a second-line Tx following LEN, regardless of age, prior SCT status, and presence of HR CAs. Disclosures Dimopoulos: Sanofi Oncology: Research Funding. Weisel:GSK: Honoraria; Juno: Consultancy; Takeda: Consultancy, Honoraria; Sanofi: Consultancy, Honoraria, Research Funding; Janssen: Consultancy, Honoraria, Research Funding; Adaptive Biotech: Consultancy, Honoraria; Celgene Corporation: Consultancy, Honoraria, Research Funding; Bristol-Myers Squibb: Consultancy, Honoraria; Amgen: Consultancy, Honoraria, Research Funding. Moreau:Celgene: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; AbbVie: Consultancy, Honoraria. Anderson:Amgen, Janssen, Takeda, Celgene: Consultancy, Speakers Bureau. White:Sanofi: Consultancy, Honoraria; Celgene: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Janssen: Consultancy, Honoraria. San-Miguel:Amgen, Bristol-Myers Squibb, Celgene, Janssen, MSD, Novartis, Roche, Sanofi, and Takeda: Consultancy, Honoraria. Sonneveld:SkylineDx: Research Funding; Takeda: Honoraria, Research Funding; Karyopharm: Honoraria, Research Funding; Janssen: Honoraria, Research Funding; Celgene: Honoraria, Research Funding; BMS: Honoraria; Amgen: Honoraria, Research Funding. Jenner:Abbvie, Amgen, Celgene, Novartis, Janssen, Sanofi Genzyme, Takeda: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Dürig:Roche: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel support; Celgene: Consultancy, Other: Travel or accommodations, Speakers Bureau. Pavic:Celgene, Janssen, Takeda, Amgen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Casal:Celgene Corporation: Employment. Srinivasan:Celgene: Employment, Equity Ownership. Nguyen:Celgene Corporation: Employment, Equity Ownership. Biyukov:Celgene: Employment, Equity Ownership. Peluso:Celgene Corporation: Employment. Richardson:Amgen: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees; Bristol-Myers Squibb: Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Membership on an entity's Board of Directors or advisory committees, Research Funding; Oncopeptides: Membership on an entity's Board of Directors or advisory committees, Research Funding; Karyopharm: Membership on an entity's Board of Directors or advisory committees; Sanofi: Membership on an entity's Board of Directors or advisory committees. OffLabel Disclosure: Yes. The triplet combination is not currently approved in the US for the treatment of multiple myeloma.

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)0.002
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: Meta-analysis · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
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 head0.010
GPT teacher head0.239
Teacher spread0.229 · 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 designMeta-analysis
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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Citations2
Published2019
Admission routes1
Has abstractyes

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