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Nivolumab Treatment Beyond Investigator-Assessed Progression: Outcomes in Patients with Relapsed/Refractory Classical Hodgkin Lymphoma from the Phase 2 Checkmate 205 Study

2017· article· en· W2785021126 on OpenAlexaff
Jonathon B. Cohen, Andreas Engert, Stephen M. Ansell, Anas Younes, Marek Trněný, Kerry J. Savage, Radhakrishnan Ramchandren, Graham P. Collins, Michelle A. Fanale, Philippe Armand, Pier Luigi Zinzani, Jan Paul de Boer, Margaret A. Shipp, Armando Santoro, John M. Timmerman, Mariana Sacchi, Oumar Sy, John Kuruvilla

Bibliographic record

VenueBlood · 2017
Typearticle
Languageen
FieldMedicine
TopicLymphoma Diagnosis and Treatment
Canadian institutionsPrincess Margaret Cancer CentreUniversity of TorontoBC Cancer Agency
Fundersnot available
KeywordsMedicineInternal medicineNivolumabBrentuximab vedotinOncologyRefractory (planetary science)Phases of clinical researchClinical trialLymphomaCancerHodgkin lymphomaImmunotherapy

Abstract

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Abstract Introduction: The phase 2 CheckMate 205 study (NCT02181738) of nivolumab (nivo) has demonstrated high objective response rates, durable efficacy, and acceptable safety profiles in patients (pts) with relapsed/refractory classical Hodgkin lymphoma (R/R cHL) after failure of autologous hematopoietic cell transplantation (auto-HCT) regardless of prior brentuximab vedotin (BV) treatment (Younes A et al. Lancet Oncol 2016; Fanale M et al. ICML 2017 [Oral 125]). Recently proposed new response criteria aim to account for atypical patterns of response with checkpoint inhibitors which may not be fully captured by conventional response criteria (Cheson BD et al. Blood 2016; Younes A et al, Ann Oncol 2017). Studies in solid tumors have shown that pts may continue to derive clinical benefits from nivo beyond disease progression as defined by conventional criteria (George S et al, JAMA Oncol 2016; Long GV et al, JAMA Oncol 2017). Here we report outcomes among pts with R/R cHL treated beyond progression (TBP) in CheckMate 205. Methods: This single-arm, multicenter study enrolled pts (age ≥18 y) with R/R cHL after failure of auto-HCT into 3 independent cohorts (A: BV naïve, B: BV after auto-HCT, C: BV before and/or after auto-HCT). Nivo 3 mg/kg IV every 2 wk was given until disease progression or unacceptable toxicity. Response was assessed by 2007 International Working Group criteria. Best overall response (BOR) was assessed per investigator. A protocol amendment in July 2014 allowed pts to be TBP (investigator-assessed) if they met prespecified criteria, including deriving clinical benefit, stable performance status, and non-rapid progression. Pts TBP were required to discontinue in the event of further progression (≥10% increase in tumor burden). Tumor burden after initial progression was assessed in a prespecified analysis. Exploratory analyses assessed overall survival (OS) and time to next therapy (TTNT) in pts TBP. Results: In total, 70/243 (29%) pts were TBP: 19 in Cohort A, 23 in B, and 28 in C. Demographics were similar to the overall study population: 57% had stage IV disease at study entry, median (range) age was 37 (18-72) y, and median number of prior therapies was 3 (2-5). BOR prior to progression was complete remission (CR) in 5 (7%) pts, partial remission (PR) in 31 (44%), stable disease (SD) in 20 (29%), and progressive disease in 13 (19%) (BOR was non-evaluable in 1 pt). Among pts TBP, the initial cause of progression was a ≥50% increase in total tumor burden in 13 (19%) pts, non-target lesion progression in 17 (24%), and new lesions in 47 (67%) (pts could have multiple findings as reasons for progression). The median time to initial progression in pts TBP was 6 mo; 11 mo in pts with initial BOR of CR and 7 mo in pts with initial PR or SD. At December 2016 database lock, median (range) doses of nivo beyond progression were 8 (1-43), and median duration of treatment beyond progression was 5 (0-19) mo. Overall, 21 (30%) pts TBP remained on treatment; the most common reason for discontinuation was further disease progression (80%). The majority of pts TBP demonstrated stable reductions in tumor burden with continued treatment. Median (95% CI) TTNT from first study dose of nivo was 17 (14, not estimable) mo (Figure). Median OS from date of initial progression was not reached in pts TBP and OS was 84% (95% CI 70, 92) at 1 y. Treatment-related adverse events (TRAEs) occurred in 46% of pts (13% grade [G] 3-4) after progression, vs 64% (9% G3-4) prior to progression. Serious TRAEs after progression were aspartate aminotransferase increase (n=1) and hypercalcemia (n=1), both G3-4. Ten deaths occurred in pts TBP; 7 were due to disease progression and none were considered related to study drug. Conclusions: In total, 29% of pts from CheckMate 205 Cohort A/B/C were TBP. New lesions were the most common reason for initial progression in pts TBP. Stable reductions in tumor burden were seen with continued treatment in pts TBP, and median TTNT and OS remained high. Proposed updates to response criteria may help to better assess the long-term efficacy of checkpoint inhibitors. These data suggest that pts considered to show stable performance status, non-rapid progression, and clinical benefits despite progression according to conventional response criteria may derive long-term benefits from continued nivo treatment. Study funding: BMS. Writing support: Simon Wigfield, Caudex, funded by BMS. Disclosures Cohen: Bioinvent: Consultancy, Membership on an entity's Board of Directors or advisory committees; Genentech: Consultancy, Membership on an entity's Board of Directors or advisory committees; Takada: Research Funding; Bristol Myers Squibb: Research Funding; Abbvie: Consultancy, Membership on an entity's Board of Directors or advisory committees; Infinity: Consultancy, Membership on an entity's Board of Directors or advisory committees; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; LAM Therapeutics, Inc: Research Funding. Engert: Amgen: Honoraria, Research Funding; Bristol-Myers Squibb: Consultancy, Honoraria, Research Funding; Takeda: Consultancy, Honoraria, Research Funding; Affimed: Consultancy, Honoraria, Research Funding. Ansell: Merck: Research Funding; Celldex: Research Funding; Seattle Genetics: Research Funding; Bristol-Myers Squibb: Research Funding; Affimed: Research Funding. Younes: Roche: Consultancy, Honoraria, Other: Third-party medical writing assistance, under the direction of Anas Younes, was provided by Scott Malkin of Gardiner-Caldwell Communications, and was funded by F. Hoffmann-La Roche Ltd.; Bayer: Honoraria; Bristol-Myers Squibb: Honoraria; Novartis: Research Funding; Janssen: Honoraria; Merck: Honoraria; Curis: Research Funding; Sanofi: Honoraria; Takeda Millenium: Honoraria; Johnson & Johnson: Research Funding; Seattle Genetics: Honoraria; Incyte: Honoraria; Celgene: Honoraria. Trneny: Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Gilead: 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; Roche: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees. Savage: Roche: Research Funding; Seattle Genetics: Consultancy, Honoraria; Bristol-Myers Squibb: Honoraria; Merck: Honoraria; Celgene: Consultancy. Ramchandren: Seattle Genetics: Consultancy; Janssen: Research Funding; Merck: Research Funding; Pharmacyclics: Research Funding. Collins: ADC Therapeutics: Research Funding; Roche: Consultancy, Honoraria, Speakers Bureau; Pfizer: Consultancy, Honoraria; Celgene: Research Funding; Celleron: Consultancy; MSD: Consultancy, Honoraria; Takeda: Consultancy, Honoraria, Speakers Bureau; Bristol-Myers Squibb: Research Funding; Amgen: Research Funding. Fanale: AMGEN: Membership on an entity's Board of Directors or advisory committees; CELGENE: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; TAKEDA: Honoraria, Research Funding; ONYX: Research Funding; SEATTLE GENETICS: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; MOLECULAR TEMPLATES: Research Funding; MERCK: Membership on an entity's Board of Directors or advisory committees, Research Funding; BMS: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; GENENTECH: Research Funding; ADC THERAPEUTICS: Research Funding. Armand: Bristol-Myers Squibb: Consultancy, Other: research funding (institutional); Merck: Consultancy, Other: research funding (institutional); Infinity: Consultancy; Pfizer: Consultancy, Other: research funding (institutional); Affimed: Other: research funding (institutional); Otsuka: Other: research funding (institutional); Sequenta: Other: research funding (institutional); Sigma Tau: Other: research funding (institutional); Roche: Other: research funding (institutional); Tensha: Other: research funding (institutional). Zinzani: Bayer: Honoraria, Membership on an entity's Board of Directors or advisory committees; Roche: 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; Gilead: Honoraria, Membership on an entity's Board of Directors or advisory committees; Johnson & Johnson: Honoraria, Membership on an entity's Board of Directors or advisory committees; Bristol-Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees; Karyopharm Therapeutics: Honoraria, Membership on an entity's Board of Directors or advisory committees; Verastem: 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; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees. De Boer: Bristol-Myers Squibb: Membership on an entity's Board of Directors or advisory committees; MSD: Membership on an entity's Board of Directors or advisory committees; Merck: Membership on an entity's Board of Directors or advisory committees, Other: N

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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 score0.001
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.021
GPT teacher head0.305
Teacher spread0.284 · 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".

Quick stats

Citations13
Published2017
Admission routes1
Has abstractyes

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