BACILLUS CALMETTE-GUERIN TOKYO172 SUBSTRAIN FOR SUPERFICIAL BLADDER CANCER: CHARACTERIZATION AND ANTITUMOR EFFECT
Bibliographic record
Abstract
PURPOSE: We investigated the preparation of bacillus Calmette-Guerin (BCG) Tokyo172 substrain (Japan BCG Laboratory, Ltd., Tokyo, Japan) on the characteristics of bacilli and antitumor activity in a mouse model in comparison with a preparation of the Connaught substrain (Aventis Pasteur, Ltd., Toronto, Ontario, Canada). MATERIALS AND METHODS: Lyophilized BCG preparations of Tokyo172 and Connaught for superficial bladder cancer were tested. The number of bacilli and cfu per dose, dispersion, size and attachment to murine bladder tumor cells were determined after reconstitution. Antitumor activity was assessed by intradermal injection of tumor cells with various doses of either BCG preparation into the flanks of syngeneic mice, followed by the observation of tumor suppression and survival in mice. RESULTS: Each dose of Tokyo172 had about half the bacilli in a dose of Connaught but the cfu content was about 13-fold higher for Tokyo172 than for Connaught. After reconstitution Tokyo172 bacilli were better dispersed with fewer aggregates than Connaught bacilli. Tokyo172 bacilli were about half as long as Connaught bacilli and Tokyo172 bacilli showed better attachment to tumor cells in vitro. In mice Tokyo172 achieved similar tumor suppression at a lower dose than Connaught. CONCLUSIONS: High viability, good dispersion and efficient binding to tumor cells by BCG bacilli in the Tokyo172 preparation seem to be the main reasons for the lower clinical dose of this preparation compared with the Connaught preparation (18 vs 81 mg dry weight).
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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".