CheckMate 436: A phase 1-2 study to evaluate safety and efficacy of nivolumab plus brentuximab vedotin in patients with CD30-expressing relapsed/refractory non-Hodgkin lymphomas.
Bibliographic record
Abstract
TPS7577 Background: Nivolumab (nivo) is a PD-1 immune checkpoint inhibitor that augments T-cell activation and host anti-tumor responses. PD-1 blockade has shown promise in B- and T-cell non-Hodgkin lymphoma (NHL),1 but many patients (pts) with NHL do not respond or progress after response. Combination therapy using anti-tumor agents with complementary mechanisms of action and low immunosuppressive impact may result in more frequent and durable responses. Brentuximab vedotin (BV) is an anti-CD30 antibodydrug conjugate that induces cell cycle arrest and apoptosis, with activity in a range of NHL tumors.2,3 Tumor cells undergoing BV-induced apoptosis have shown subsequent immune-mediated anti-tumor cytotoxicity.4 Therefore, nivo and BV may synergize if combined for relapsed/refractory (RR) NHL. Methods: CheckMate 436 (NCT02581631) is a phase 12, open-label, international, single-arm study evaluating nivo + BV for CD30-expressing RR NHL (study start: Dec 2015) in pts with RR diffuse large B-cell lymphoma, peripheral T-cell lymphoma (excluding anaplastic large cell lymphoma), and cutaneous T-cell lymphoma (mycosis fungoides/Sézary syndrome); cohorts with primary mediastinal B-cell lymphoma (PMBL) and mediastinal gray zone lymphoma were made eligible in Sept 2016. Pts with PMBL must be aged ≥15 y (≥18 y for other histologies). All pts must have CD30-expressing disease, defined by CD30 on ≥1% of tumor cells or tumor-infiltrating lymphocytes by immunohistochemistry. In the phase 1 component, 6 pts will receive nivo and BV until disease progression or unacceptable toxicity. In the phase 2 component, ~130 more pts across the 5 histologies will be enrolled and treated at the recommended dose. Primary endpoints: safety, tolerability, and investigator-assessed objective response rate; secondary endpoints: duration of response and complete response (CR), CR rate, and progression-free and overall survival. Accrual is ongoing. References: 1. Lesokhin A et al. JCO 2016;34:2698704 2. Jacobsen E et al. Blood 2015;125:1394402 3. Horwitz S et al. Blood 2014;123:3095100 4. Gardai S et al. Cancer Res 2015;75(15 Suppl):2469 [abstract]. Clinical trial information: NCT02581631.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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.
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".