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Nivolumab for Newly Diagnosed Advanced-Stage Classical Hodgkin Lymphoma (cHL): Results from the Phase 2 Checkmate 205 Study

2017· article· en· W2782500168 on OpenAlexaff
Radhakrishnan Ramchandren, Michelle A. Fanale, Antonio Rueda, Philippe Armand, Marek Trněný, Tatyana Feldman, Stephen M. Ansell, Mariano Provencio, Ulrich Jaeger, Jonathon B. Cohen, Kerry J. Savage, Wolfgang Willenbacher, Mariana Sacchi, Anne Sumbul, Eva Domingo‐Doménech

Bibliographic record

VenueBlood · 2017
Typearticle
Languageen
FieldMedicine
TopicLymphoma Diagnosis and Treatment
Canadian institutionsBC Cancer Agency
Fundersnot available
KeywordsStage (stratigraphy)MedicineClassical Hodgkin lymphomaInternal medicineLymphomaPhases of clinical researchNivolumabOncologyHodgkin lymphomaChemotherapyCancerBiologyImmunotherapy

Abstract

fetched live from OpenAlex

Abstract Introduction: Nivolumab (nivo), an immune checkpoint inhibitor targeting the programmed death-1 (PD-1) receptor, augments T-cell activation and restores antitumor T-cell function. In the phase 2 CheckMate 205 study (NCT02181738), nivo demonstrated frequent (65-73%) and durable objective responses across 3 cohorts of patients (pts) with relapsed/refractory (R/R) cHL after failure of autologous hematopoietic cell transplantation (Fanale M et al. ICML 2017 [oral 125]). While most pts with cHL are cured with first-line therapy, those with advanced-stage disease are more likely to relapse or progress. More aggressive regimens (eg, BEACOPPesc., Borchmann P et al. Lancet Oncol 2017) are associated with improved progression-free survival (PFS) but are hampered by excessive toxicities and have limited applicability in elderly pts.PD-1 ligand gene amplification has been linked to poorer outcomes in cHL pts treated with standard induction regimens (Roemer MG et al. J Clin Oncol 2016) but is associated with improved responses to nivo in R/R cHL (Younes A et al. Lancet Oncol 2016), suggesting that PD-1 blockade may benefit pts in the frontline setting. We therefore assessed the safety and efficacy of nivo as a single-agent lead-in treatment followed by nivo in combination with chemotherapy, excluding bleomycin due to potential overlapping pulmonary toxicity, for pts with previously untreated advanced-stage cHL. Methods: Cohort D of CheckMate 205 enrolled untreated pts (aged ≥18 y) with advanced-stage newly diagnosed cHL (stage III, IV, or II with B symptoms and extranodal or bulky disease) and ECOG score 0-1. Pts received 4 biweekly doses of nivo monotherapy (240 mg IV flat dose) followed by nivo plus chemotherapy (nivo 240 mg IV, doxorubicin, vinblastine, dacarbazine [N-AVD]) for 6 cycles (12 doses). The primary endpoint was safety and tolerability: proportion of pts with ≥1 grade (G) 3-5 treatment-related adverse event (TRAE) ≤30 d after last dose. Additional endpoints included rates of discontinuation and of independent radiologic review committee-assessed complete remission (CR). Results: At database lock (June 2017), 51 pts had been treated, with a median (range) follow-up of 8 (1-11) mo. Median (range) age was 37 (18-87) y; 29 (57%) pts had stage IV disease, and 41 (80%) had B symptoms. At baseline, 7 (14%) pts had bulky disease and 17 (33%) had extranodal involvement. International prognostic score was ≥3 in 25 (49%) pts. At analysis, 49 (96%) pts had completed nivo monotherapy treatment, receiving all 4 doses; 1 pt discontinued due to disease progression and 1 due to study drug toxicity (G1-2 hyperthyroidism), subsequently receiving AVD only. TRAEs for both treatment phases are shown in the Table. During nivo monotherapy, 2 pts had 1 dose delay each due to an AE; 2 (4%) pts had serious AEs (SAEs; 1 G1-2 hyperthyroidism; 1 G1-2 polyneuropathy); an immune-mediated AE (IMAE), G1-2 hyperthyroidism, was reported in 2 (4%) pts. Fifty pts started combination therapy; at database lock, 35 (70%) had completed therapy, with 34 (69%) receiving 12 N-AVD doses. With N-AVD, 10 (20%) pts had SAEs, 6 G3-4; the most common G3-4 SAE was febrile neutropenia in 2 (4%) pts; IMAEs occurring in >1 pt were hypothyroidism in 8 (16%) pts and increased ALT in 2 (4%). AEs leading to discontinuation of N-AVD occurred in 2 pts: G1-2 hepatic abnormality, and G3-4 febrile neutropenia (FN) and Klebsiella bacteremia. The pt who developed FN and Klebsiella bacteremia died 38 d after the first dose of his fifth cycle of N-AVD due to study drug toxicity of acute respiratory insufficiency. Important primary, secondary, and exploratory endpoints (including CR and objective response rates at end of monotherapy, after 2 combocycles and end of therapy, and PFS) will be presented at the meeting. Conclusions: Nivo monotherapy followed by N-AVD combination therapy was well-tolerated in pts with newly diagnosed, untreated, advanced-stage cHL. Nearly all pts completed nivo monotherapy treatment and started combination therapy with N-AVD. The safety profile was consistent with historical experience of nivo and AVD separately, with no new safety signals. Nivo followed by N-AVD may provide a tolerable alternative treatment option to standard-of-care multi-agent chemotherapy for pts with newly diagnosed advanced-stage cHL. Study support: BMS. Writing support: Matthew Thomas, PhD, Caudex, funded by BMS. Disclosures Ramchandren: Janssen: Research Funding; Pharmacyclics: Research Funding; Merck: Research Funding; Seattle Genetics: Consultancy. Fanale: CELGENE: Honoraria, 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; ADC THERAPEUTICS: Research Funding; GENENTECH: Research Funding; MERCK: Membership on an entity's Board of Directors or advisory committees, Research Funding; MOLECULAR TEMPLATES: Research Funding; AMGEN: Membership on an entity's Board of Directors or advisory committees; SEATTLE GENETICS: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; TAKEDA: Honoraria, Research Funding; ONYX: Research Funding. Rueda: Bristol-Myers Squibb: Consultancy. Armand: Roche: Research Funding; Genmab: Consultancy; Infinity: Consultancy; Sigma Tau: Research Funding; Tensha: Research Funding; Affimed: Research Funding; Bristol-Myers Squibb: Consultancy, Research Funding; Otsuka: Research Funding; Pfizer: Consultancy, Research Funding; Merck & Co., Inc.: Consultancy, Research Funding; Sequenta/Adaptive: Research Funding. Trněný: Janssen: Consultancy, Honoraria; Roche: Consultancy, Honoraria, Research Funding; Celgene: Consultancy, Honoraria, Research Funding; Abbvie: Consultancy, Honoraria; BMS: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; Gilead: Consultancy, Honoraria. Feldman: Pharmacyclics: Speakers Bureau; Celgene: Speakers Bureau; Bristol-Myers Squibb: Consultancy; Kite Pharma: Speakers Bureau; Seattle Genetics: Honoraria, Research Funding, Speakers Bureau; AbbVie: Speakers Bureau; Janssen: Speakers Bureau. Ansell: Merck: Research Funding; Seattle Genetics: Research Funding; Bristol-Myers Squibb: Research Funding; Celldex: Research Funding; Affimed: Research Funding. Jaeger: Janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel, Accommodations, Expenses; Novartis Pharmaceuticals Corporation: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: 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, Other: Travel, Accommodations, Expenses. Cohen: Bioinvent: Consultancy, Membership on an entity's Board of Directors or advisory committees; LAM Therapeutics, Inc: Research Funding; Abbvie: 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; Genentech: Consultancy, Membership on an entity's Board of Directors or advisory committees; Takada: Research Funding; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Bristol Myers Squibb: Research Funding; Infinity: Consultancy, Membership on an entity's Board of Directors or advisory committees. Savage: Bristol-Myers Squibb: Honoraria; Seattle Genetics: Consultancy, Honoraria; Roche: Research Funding; Celgene: Consultancy; Merck: Honoraria. Willenbacher: Bristol-Myers Squibb: Consultancy, Honoraria. Sacchi: Bristol-Myers Squibb: Employment. Sumbul: Bristol-Myers Squibb: Employment.

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: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
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 head0.036
GPT teacher head0.333
Teacher spread0.298 · 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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Citations29
Published2017
Admission routes1
Has abstractyes

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