Pretargeted Radioimmunotherapy for B-Cell Lymphomas
Bibliographic record
Abstract
Relapsed or treatment refractory B-cell lymphomas are currently incurable with conventional chemotherapy and radiation treatments. High-dose chemoradiotherapy and stem cell transplantation can cure some patients with relapsed or refractory lymphoma, but the majority of such patients die of progressive disease. We have investigated the potential utility of pretargeted radioimmunotherapy using monoclonal antibody-streptavidin, immunoconjugates, and fusion proteins in combination with N-acetylgalactosamine dendrimeric clearing agent and radiometal-labeled 1,4,7,10-tetraazacyclododecane-N,N',N'',N'''-tetraacetic acid biotin for treatment of lymphomas using mouse and primate models. We have targeted a variety of cell surface antigens, including CD20, CD22, CD45, and HLA-DR, using conventional and pretargeted radioimmunotherapy. These studies showed the marked superiority of pretargeted radioimmunotherapy for each of the antigenic targets in terms of superior biodistributions, more complete tumor regressions, and longer survival. We are optimistic that this novel approach will provide a meaningful prolongation of survival for patients with relapsed or refractory lymphomas.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".