Preclinical Assessment of an Anti-EpCAM Immunotoxin: Locoregional Delivery Provides a Safer Alternative to Systemic Administration
Bibliographic record
Abstract
VB4-845 is a recombinant immunotoxin that is comprised of a truncated form of Pseudomonas exotoxin A (ETA) genetically-linked to a humanized scFv fragment, (4D5MOCB), specific to epithelial cell adhesion molecule (EpCAM). EpCAM is overexpressed on a wide variety of human tumors and thus represents a suitable target antigen for immunotoxin therapy. Preclinical studies were used to evaluate the benefit of locoregional administration of an ETA-based immunotoxin versus systemic delivery. Repeated subcutaneous (s.c.) administration of VB4-845 (up to 77.8 microg/kg) in rats resulted in minimal adverse effects, except for injection-site reactions, while repeated systemic administration elicited symptoms consistent with vascular leak syndrome. S.c. weekly doses of the drug in cynomolgus monkeys resulted in minimal adverse effects limited to injection-site reactions and a transient elevation of liver enzymes in 1 animal. Toxicokinetics showed rapid clearance of the drug, with the development of an immune response by day 14 following repeated injections. These results argue that the local administration of VB4-845 has advantages with respect to safety over systemic administration and may be an effective alternative method for targeting those cancers that are amenable to local routes of administration.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".