Nivolumab Combined with Brentuximab Vedotin for Relapsed/Refractory Primary Mediastinal Large B-Cell Lymphoma: Preliminary Results from the Phase 2 CheckMate 436 Trial
Bibliographic record
Abstract
Abstract Introduction: About 20% of patients (pts) with primary mediastinal B-cell lymphoma (PMBL) are not cured after first-line treatment; those with chemosensitive relapse may benefit from autologous hematopoietic cell transplantation (auto-HCT). However, outcomes remain poor for pts with chemorefractory disease and those who have relapsed after auto-HCT. In PMBL, there is increased expression of the programmed death-1 (PD-1) ligands and expression of CD30 on tumor cells. Evasion of host immune responses by tumor cells may lead to resistance to standard chemotherapy. Nivolumab is a fully human IgG4 monoclonal antibody that binds to immune checkpoint PD-1, abrogates tumor inhibitory signals, and augments host antitumor immune response. Brentuximab vedotin (BV) is an antibody-drug conjugate that binds to CD30-expressing cells and induces apoptosis and immunogenic cell death. Combination of nivolumab and BV may therefore have synergistic antitumor activity against relapsed/refractory PMBL (rrPMBL). This study evaluated the safety and efficacy of nivolumab + BV in this pt population. Methods: This expansion cohort of a phase 1/2 open-label, single-arm, international study (NCT02581631) enrolled pts with PMBL aged ≥15 years, an Eastern Cooperative Oncology Group (ECOG) performance status ≤1, confirmed CD30 expression in ≥1% of tumor cells, measurable disease per Lugano 2014 classification, and relapsed/refractory disease after either high-dose conditioning chemotherapy and auto-HCT, or ≥2 prior multi-agent chemotherapies if auto-HCT ineligible. Nivolumab (240 mg IV flat dose) and BV (1.8 mg/kg IV, prespecified dose modifications allowed) were received every 3 weeks until disease progression or unacceptable toxicity. Pts were evaluated for safety (primary objective) continuously during treatment and at scheduled intervals during follow-up. Descriptive statistics were used to present pt characteristics and adverse events (AEs). The primary efficacy endpoint was investigator-assessed objective response rate (ORR) according to Lugano 2014 classification. Results: At database lock, 30 pts were treated with nivolumab + BV and included in this interim analysis. At enrollment, median (range) age was 35.5 (19-83) years. Thirteen pts (43%) had stage III or IV disease at initial diagnosis. Pts had received a median of 2 prior systemic therapies before enrollment, and 4 (13%) received auto-HCT (Table). Treatment-related AEs (TRAEs) were reported in 25 pts (83%). The most frequently reported TRAEs were neutropenia (27%), peripheral neuropathy (20%), and hyperthyroidism (13%). Grade 3-4 TRAEs were reported in 10 pts (33%), including 8 pts (27%) with neutropenia, 2 pts (7%) each with thrombocytopenia or decreased neutrophil count, and 1 pt (3%) each with hypersensitivity, diarrhea, or maculopapular rash. Three pts (10%) had treatment-related serious AEs, including 1 pt with grade 3-4 diarrhea and maculopapular rash, and 1 pt with grade 5 acute kidney injury. At the time of the meeting, ORR and complete remission rate will be presented based on a planned interim analysis. Conclusions: These results demonstrate that in pts with CD30-expressing rrPMBL, the combination of nivolumab and BV has a manageable safety profile and may provide a potential treatment option for this patient population. Study support: BMS. Writing support: Janice Zhou, Caudex, funded by BMS. Table. Table. Disclosures Moskowitz: Bristol Myers-Squibb: Consultancy, Research Funding; Merck: Research Funding; Incyte: Research Funding; Takeda: Honoraria; ADC Therapeutics: Research Funding; Seattle Genetics: Consultancy, Honoraria, Research Funding. Cunningham:Roche pharmaceuticals: Research Funding. Barr:AbbVie, Gilead: Consultancy. Kline:iTeos: Research Funding; Merck: Honoraria, Research Funding. Kuruvilla:Gilead: Consultancy, Honoraria; Lundbeck: Honoraria; Celgene: Honoraria; BMS: Consultancy, Honoraria; Abbvie: Consultancy; Roche: Consultancy, Honoraria, Research Funding; Janssen: Consultancy, Honoraria, Research Funding; Merck: Consultancy, Honoraria; Karyopharm: Honoraria; Princess Margaret Cancer Foundation: Research Funding; Amgen: Honoraria; Leukemia and Lymphoma Society Canada: Research Funding; Seattle Genetics: Consultancy, Honoraria. Johnson:Lundbeck: Consultancy, Honoraria, Other: travel, Research Funding; Seattle Genetics: Honoraria; Merck: Consultancy, Honoraria; Bristol-Myers Squibb: Consultancy, Honoraria; AbbVie Inc.: Consultancy, Honoraria, Research Funding; Roche: Consultancy, Honoraria, Other: travel, Research Funding. Mehta-Shah:Spectrum: Consultancy; Bristol-Myers Squibb: Research Funding; Verastem: Research Funding; Genetech: Research Funding; Celgene: Research Funding. Manley:Seattle Genetics: Employment, Equity Ownership. Sharma:Bristol-Myers Squibb: Employment. Francis:Bristol-Myers Squibb: Employment, Other: company stock options. Cohen:Bristol-Myers Squibb: Employment, Other: company stock ownership. Zinzani:BMS: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; PFIZER: 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, Speakers Bureau; Roche: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celltrion: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Bayer: Membership on an entity's Board of Directors or advisory committees; Astra Zeneca: Speakers Bureau; TG Pharmaceuticals: Honoraria, Membership on an entity's Board of Directors or advisory committees; TG Pharmaceuticals: Honoraria, Membership on an entity's Board of Directors or advisory committees; Merck: Honoraria, Membership on an entity's Board of Directors or advisory committees; SERVIER: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Verastem: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Takeda: Membership on an entity's Board of Directors or advisory committees; Gilead: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; MSD: Honoraria, Speakers Bureau; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Bayer: Membership on an entity's Board of Directors or advisory committees; Merck: 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".