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Record W2990707530 · doi:10.1182/blood-2019-124407

First Analysis from a Phase 1/2 Study of Venetoclax in Combination with Daratumumab and Dexamethasone, +/- Bortezomib, in Patients with Relapsed/Refractory Multiple Myeloma

2019· article· en· W2990707530 on OpenAlexaff
Nizar J. Bahlis, Rachid Baz, Simon J. Harrison, Hang Quach, Shir‐Jing Ho, Annette Juul Vangsted, Philippe Moreau, Simon Gibbs, Ahmed Hamed Salem, Jeremy A. Ross, John C. Pesko, Sally Westrup, Jenny Vue, Paulo Maciag, Orlando F. Bueno, Jonathan L. Kaufman

Bibliographic record

VenueBlood · 2019
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsInstitute of Cancer ResearchUniversity of Calgary
Fundersnot available
KeywordsDaratumumabMedicineVenetoclaxBortezomibTolerabilityInternal medicineVenRegimenOncologyProteasome inhibitorLenalidomideDexamethasoneCarfilzomibCombination therapyPhases of clinical researchMultiple myelomaPharmacologyClinical trialAdverse effectLeukemiaChronic lymphocytic leukemia

Abstract

fetched live from OpenAlex

Background: Novel and more effective therapies for multiple myeloma (MM) have led to increasing overall survival, but most patients (pts) will eventually relapse or become refractory (RR). The proteasome inhibitor (PI) bortezomib (V), the anti-CD38 antibody daratumumab (D), and dexamethasone (d) are key agents for combination therapy in first-line and RR settings. Venetoclax (Ven) is a highly selective, potent, oral BCL-2 inhibitor that induces apoptosis in BCL-2-dependent MM cells in vitro. Encouraging clinical efficacy has been observed with Ven monotherapy in t(11;14) pts, and with VenV in pts irrespective of disease genetic background. In view of MM intraclonal heterogeneity, the addition of D to Ven +/- PI is postulated to further enhance antitumor activity of Ven-based regimens in RRMM. Methods: M15-654 (NCT03314181) is an ongoing Phase 1/2, nonrandomized, multicenter study of combination therapy consisting of VenDd +/- V in pts with RRMM. The primary objective is to evaluate the safety, tolerability, and preliminary efficacy of VenDd +/- V. In Part 1, VenDd was evaluated in t(11;14) MM pts who received ≥1 prior line of therapy that included a PI and an immunomodulatory drug (IMiD). In Part 2, VenDVd was evaluated in MM pts irrespective of t(11;14) status who were non-refractory to PIs and received 1 - 3 prior lines of therapy. Each regimen was evaluated in a dose escalation and expansion phase. In each part, Ven dose escalation was initiated at 400 mg daily (QD) and escalated to 800 mg QD if acceptable safety and tolerability were observed. Escalation cohorts had ≥3 pts, and escalation decisions were based on a Bayesian optimal interval design and the number of pts with a dose limiting toxicity (DLT). In Part 1, cycles (C) were 28-day: Ven QD + D 16 mg/kg intravenous (IV) (C1, 2: Days 1, 8, 15, 22; C3 - 6: Days 1, 15; C7+: Day 1) + d 40 mg total weekly. In Part 2, C1 - 8 were 21-day, C9+ were 28-day: Ven QD + D 16 mg/kg IV (C1 - 3: Days 1, 8, 15; C4+: Day 1) + V 1.3 mg/m2 subcutaneous (C1 - 8, Days 1, 4, 8, 11) + d 20 mg (C1 - 3: Days 1, 2, 4, 5, 8, 9, 11, 12, 15; C4 - 8, Days 1, 2, 4, 5, 8, 9, 11, 12) and 40 mg weekly for C9+. Results: As of 13 May 2019, 48 pts were enrolled. Of 24 t(11;14) pts treated in Part 1 with VenDd, median age was 63 (range, 51 - 76), median prior lines of therapy was 2.5 (range, 1 - 8), 14 (58%) had ISS II/III disease, and 24 (100%) received both prior PI and IMiD (46% refractory to PI, 71% refractory to IMiD, 42% double refractory). Of 24 pts treated in Part 2 with VenDVd, median age was 64 (range, 41 - 80), median prior lines of therapy was 1 (range, 1 - 3), 14 (58%) had ISS II/III disease, and 6 (25%) were t(11;14). Twenty-two (92%) pts received prior PI, 17 (71%) received prior IMiD (33% refractory), and 15 (63%) received prior PI + IMiD. The most common adverse events (AEs; VenDd/VenDVd) were fatigue (54%/21%), diarrhea (50%/42%), nausea (33%/38%), insomnia (29%/42%), cough (21%/8%), headache (21%/4%), upper respiratory tract infection (21%/17%), constipation (8%/33%), infusion related reaction (8%/33%), peripheral neuropathy (4%/25%), and dyspepsia (4%/21%). Grade 3/4 AEs were seen in 63%/54% of pts. The most common Grade 3/4 AEs in pts receiving VenDd were neutropenia (13%), fatigue, hyperglycemia, and hypertension (8% each); in pts receiving VenDVd, the most common were insomnia (17%), diarrhea, and thrombocytopenia (8% each). There were 6 pts with infection-related Grade 3/4 AEs (3 VenDd, 3 VenDVd). No AEs of tumor lysis syndrome were observed. Eleven pts had a serious AE (5 VenDd, 6 VenDVd), the most common being pyrexia in 3 pts. One pt treated with VenDd had a DLT of febrile neutropenia, and 1 pt treated with VenDVd died due to progressive disease. No infection-related deaths were seen. Pharmacokinetic analyses demonstrated that addition of D and V did not impact Ven exposure. Median time on study is 3.6 months (m; 8.1 m escalation, 2.8 m expansion) in the VenDd arm and 3.1 m (5.8 m escalation, 2.4 m expansion) in the VenDVd arm. The objective response rate (ORR) was 92% and 88% in pts receiving VenDd and VenDVd, respectively (Table). Conclusions: This first analysis of pts treated with VenDd +/- V demonstrate a tolerable safety profile with encouraging efficacy, notably among t(11;14) pts treated with VenDd who had an ORR of 92%. No new safety signals were observed. Although the study is currently on partial clinical hold, enrolled pts continue to be followed. Analysis will be updated at presentation. Disclosures Bahlis: Amgen: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Celgene: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; AbbVie: Consultancy, Honoraria. Baz:Bristol-Myers Squibb: Research Funding; AbbVie: Research Funding; Merck: Research Funding; Sanofi: Research Funding; Karyopharm: Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding. Harrison:Takeda: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen Cilag: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Amgen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; GSK: Consultancy, Research Funding; AbbVie: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: investigator on studies, Research Funding; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Quach:Amgen: Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: 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; Janssen: Membership on an entity's Board of Directors or advisory committees; GSK: Membership on an entity's Board of Directors or advisory committees; Sanofi: Research Funding; Takeda: Membership on an entity's Board of Directors or advisory committees. Ho:Celgene: Membership on an entity's Board of Directors or advisory committees. Vangsted:Oncopeptides: Membership on an entity's Board of Directors or advisory committees; Sanofi: Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees; Celgene: Honoraria; Jansen: Honoraria. Moreau:Celgene: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; AbbVie: Consultancy, Honoraria. Gibbs:BMS: 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; Takeda: 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; Pfizer: 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. Salem:AbbVie: Employment, Other: Stock/stock options. Ross:AbbVie: Employment, Other: Stock/stock options. Pesko:AbbVie: Employment, Other: Stock/stock options. Westrup:AbbVie: Employment, Other: Stock/stock options. Vue:AbbVie: Employment, Other: Stock/stock options. Maciag:AbbVie: Employment, Other: Stock/stock options. Bueno:AbbVie: Employment, Other: Stock/stock options. Kaufman:Takeda: Consultancy; Amgen: Consultancy; AbbVie: Consultancy; Winship Cancer Institute of Emory University: Employment; Pharmacyclics: Membership on an entity's Board of Directors or advisory committees; Incyte: Consultancy; Karyopharm: Membership on an entity's Board of Directors or advisory committees; TG Therapeutics: Consultancy; Janssen: Honoraria; Bristol-Myers Squibb: Consultancy; Celgene: Consultancy. OffLabel Disclosure: Venetoclax is a BCL-2 inhibitor that is FDA-approved in some indications. This presentation will focus on venetoclax for treatment of multiple myeloma, which is not an approved indication.

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)0.002
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 score0.005
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.011
GPT teacher head0.263
Teacher spread0.252 · 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".

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Citations10
Published2019
Admission routes1
Has abstractyes

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