Phase <scp>IA</scp>/<scp>II</scp>, multicentre, open‐label study of the <scp>CD</scp>40 antagonistic monoclonal antibody lucatumumab in adult patients with advanced non‐<scp>H</scp>odgkin or <scp>H</scp>odgkin lymphoma
Bibliographic record
Abstract
Despite advancements in the treatment of non-Hodgkin lymphoma (NHL) and Hodgkin lymphoma (HL), patients continue to relapse and thus a need for new targeted therapies remains. The CD40 receptor is highly expressed on neoplastic B cells and activation leads to enhanced proliferation and survival. Lucatumumab (HCD122) is a fully human antagonistic CD40 monoclonal antibody. A phase IA/II study was designed to determine the maximum tolerated dose (MTD) and activity of lucatumumab in patients with relapsed/refractory lymphoma. Determination of the MTD was the primary objective of the phase IA dose escalation portion and clinical response was the primary objective of the phase II dose expansion portion. Patients received escalating doses of lucatumumab administered intravenously once weekly for 4 weeks of an 8-week cycle. MTD was determined at 4 mg/kg of lucatumumab. A total of 111 patients with NHL (n = 74) and HL (n = 37) were enrolled. Responses were observed across various lymphoma subtypes. The overall response rate by computed tomography among patients with follicular lymphoma (FL) and marginal zone lymphoma of mucosa-associated lymphatic tissue (MZL/MALT) was 33·3% and 42·9%, respectively. Lucatumumab demonstrates modest activity in relapsed/refractory patients with advanced lymphoma, suggesting that targeting of CD40 warrants further investigation.
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 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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 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 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".