Complete regression of ovarian cancer xenografts following treatment with the recombinant immunocytotoxic protein, VB6-845.
Bibliographic record
Abstract
5555 VB6-845 is a recombinant fusion construct consisting of a tumor-targeting Fab linked to de-immunized Bouganin, a type 1 ribosome-inactivating protein (RIP). VB6-845 specifically targets the epithelial cell adhesion molecule (Ep-CAM) that is highly expressed on many different epithelial carcinomas, including ovarian cancer. Ovarian cancer is the fourth most common cause of cancer mortality in women. Advances in surgery and treatment modalities have improved survival, but prognosis remains poor with a five-year survival rate of about 30% indicating the need for more effective treatment. Immunohistochemistry (IHC) determined a high level of VB6-845 immunoreactivity in ovarian primary (>90%) and metastatic (90%) carcinomas. VB6-845 exhibited potent activity against the ovarian Ep-CAM positive cancer cell line, OVCAR-3 as determined using an MTS assay, with an IC 50 of 0.6 nM, (0.26 μg/mL). In vivo efficacy of VB6-845 was demonstrated in the OVCAR-3 subcutaneous implanted xenograft model in SCID mice. I.V. administration of 10 & 20 mg/kg of VB6-845 resulted in 100% survival as compared to 27% survival in the untreated group on Day 75. The majority of the mice (80%) dosed at 20 mg/kg were tumor free (p In vivo efficacy of VB6-845 also was demonstrated in the OVCAR-3 intraperitoneal (I.P.) implanted xenograft model in Balb/c Nude mice. I.P. administration of 10 mg/kg of VB6-845 resulted in 93% survival as compared to 0% in the untreated group on Day 84 (p
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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 | 0.000 |
| 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 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".