Radioimmunotherapy of CD22-Expressing Daudi Tumors in Nude Mice with a 90Y-Labeled Anti-CD22 Monoclonal Antibody
Bibliographic record
Abstract
A study was undertaken to investigate the efficacy of a high affinity, rapidly internalizing anti-CD22 monoclonal antibody for selectively delivering high-energy (90)Y radioactivity to B lymphoma cells in vivo. The antibody, RFB4, was readily labeled with (90)Y using the highly stable chelate, 1B4M-diethylenetriaminepentaacetic acid. Labeled RFB4 selectively bound to the CD22(+) Burkitt's lymphoma cell line Daudi, but not to CD22(-) control cells in vitro as compared with a control antibody, and was more significantly bound (P = 0.03) to Daudi solid tumors growing in athymic nude mice. Biodistribution data correlated well with the antitumor effect. The therapeutic effect of (90)Y-labeled anti-CD22 (Y22) was dose-dependent, irreversible, and the best results were achieved in mice receiving a single i.p. dose of 196 microCi. These mice displayed a significantly better (P < 0.01) antitumor response than control mice and survived >200 days with no evidence of tumor. Histology studies showed no significant injury to kidney, liver, or small intestine. Importantly, tumor-bearing mice treated with Y22 had no radiologic bone marrow damage compared with tumor-bearing mice treated with the control-labeled antibody arguing that the presence of CD22(+) tumor protected mice from bone marrow damage. When anti-CD22 radioimmunotherapy was compared to radioimmunotherapy with anti-CD19 and anti-CD45 antibodies, all three antibodies distributed significantly high levels of radioisotope to flank tumors in vivo compared with controls (P < 0.05), induced complete remission, and produced long-term, tumor-free survivors. These findings indicate that anti-CD22 radioimmunotherapy with Y22 is highly effective in vivo against CD22-expressing malignancies and may be a useful therapy for drug-refractory B cell leukemia patients.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".