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Record W2908676058 · doi:10.1182/blood-2018-99-112069

Nivolumab Combined with Brentuximab Vedotin for Relapsed/Refractory Primary Mediastinal Large B-Cell Lymphoma: Preliminary Results from the Phase 2 CheckMate 436 Trial

2018· article· en· W2908676058 on OpenAlexaffabout
Alison J. Moskowitz, Armando Santoro, Giuseppe Gritti, Pauline Brice, David Cunningham, Paul M. Barr, Justin Kline, John Kuruvilla, Nathalie A. Johnson, Neha Mehta–Shah, Thomas Manley, Manish Sharma, Stephen Francis, J. Cohen, Pier Luigi Zinzani

Bibliographic record

VenueBlood · 2018
Typearticle
Languageen
FieldMedicine
TopicLymphoma Diagnosis and Treatment
Canadian institutionsJewish General HospitalPrincess Margaret Cancer Centre
Fundersnot available
KeywordsBrentuximab vedotinNivolumabMedicineCD30OncologyInternal medicineLymphomaPopulationCancer researchImmunologyImmunotherapyCancer

Abstract

fetched live from OpenAlex

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.

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)0.001
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: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
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 head0.016
GPT teacher head0.257
Teacher spread0.241 · 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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Citations4
Published2018
Admission routes2
Has abstractyes

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