Characteristics of relapsed/refractory diffuse large B‐cell lymphoma patients with durable responses to maveropepimut‐S, pembrolizumab, and cyclophosphamide: Long‐term follow‐up from the SPiReL trial
Bibliographic record
Abstract
Introduction: Patients with relapsed/refractory diffuse large B-cell lymphoma (R/R DLBCL) have an unmet medical need. The objective of this trial was to assess the efficacy and toxicities of a novel triple immunotherapy regimen-pembrolizumab, low-dose cyclophosphamide, and maveropepimut-S (MVP-S). This regimen was designed to activate tumor-specific T cells by targeting the tumor-associated antigen survivin with MVP-S and reducing two important T cell inhibitory pathways: T cell exhaustion and regulatory T cells with pembrolizumab and metronomic cyclophosphamide, respectively. Methods: This was a single-arm Phase II clinical trial in 25 participants with R/R DLBCL-SPiReL trial (NCT03349450). Results: The median overall survival was 10.1 months and a third of participants survived over 2 years. Enhanced long-term survival was associated with favorable clinical characteristics and enhanced immune reactivity, as assessed by ELISpot and ISR-immune reactive responses. The regimen was well-tolerated with minimal Grade 3-4 toxicities. Conclusion: Combination immunotherapy regimens such as this could offer a promising alternative to other treatments with significant toxicities for select patients.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".