Variant diphtheria toxin-interleukin-3 fusion proteins with increased receptor affinity have enhanced cytotoxicity against acute myeloid leukemia progenitors.
Bibliographic record
Abstract
A fusion protein linking a truncated form of diphtheria toxin (DT(388)) to human interleukin-3 (DT(388)IL3) kills malignant progenitors from some patients with acute myeloid leukemia (AML) while sparing normal progenitors. This study evaluated two variants of DT(388)IL3 with increased affinity for the IL-3 receptor (IL-3R) for their cytotoxicity to AML progenitors and determined the ability of quantitative reverse transcription-PCR assessment of expression of the IL-3R subunits to predict the effectiveness of wild-type DT(388)IL3 and its variants. Both the IL-3 deletion variant (Delta125-133) and the amino acid substitution variant (K116W) showed enhanced toxicity against AML colony-forming cells (AML-CFC; but not normal CFC) compared with wild-type DT(388)IL3 with the K116W variant achieving >90% AML-CFC kill with 17 of 23 patient samples. This variant was also more effective against AML cells engrafting in nonobese diabetic severe combined immunodeficient mice. There was a significant correlation between the expression of the alpha and, particularly, the common beta subunit of the IL-3R on AML blasts detected by quantitative reverse transcription-PCR and AML-CFC kill. Thus, the combined use of IL-3R expression to select patients most likely to respond to DT(388)IL3 and the improved cytotoxicity of the K116W DT(388)IL3 variant against leukemic progenitors may enhance the clinical usefulness of these fusion proteins.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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; both teacher heads agree on what is shown here.
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".