Combination 111In and 177Lu –Dotatoc and Vaccinia Virus Oncolytic Therapy for SSTR2-positive Tumors
Bibliographic record
Abstract
Radiolabeled somatostatin analogues based on octreotide have proven useful in the management of somatostatin receptor subtype 2 (sstr2)-positive tumours in clinical trials. The aim was to compare the potency and evaluate the combination of 111In- and 177Lu-DOTATOC with a double-deleted version of vaccinia virus (ddVV), an oncolytic virus for inhibiting the growth of sstr2-expressing human embryonic kidney (HEK-293) cells or MC-38 murine colon cancer cells grown as monolayers or as spheroids. Cytotoxicity studies were carried out using ddVV, 111In-DOTATOC and 177Lu-DOTATOC, individually or in combination on MC-38 spheroids, HEK-293 cells and spheroids. HEK-293 cell growth in spheroids was reduced to 17.2 ± 4.9% and 26.5 ± 6.3 % with 111In-DOTATOC and 177Lu-DOTATOC alone and 13.1 ± 7.1% and 0% in combination, respectively. MC-38 spheroids showed greater toxicity in combination treatment. Combination of ddVV with 111In- or 177Lu-DOTATOC is only advantageous in monolayer culture. No advantage was observed in spheroid models.
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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) | 0.001 | 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) | 0.001 | 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".