In-vitro cytocidal effect of water on bladder cancer cells: The potential role for intraperitoneal lavage during radical cystectomy
Bibliographic record
Abstract
INTRODUCTION: We investigate the cytocidal effect of water on bladder cancer cells. Intraperitoneal lavage with sterile water is sometimes used during radical cystectomy to lyse cancer cells that might have escaped the surgical specimen. The efficacy of this approach at the cellular level is unknown. METHODS: Three bladder cancer cell lines of varying grade, RT4, TCCSUP and T24 were exposed to sterile water, and morphological changes were closely observed under microscopy. Changes of cell membrane integrity, cell viability, and cell number of re-incubated cells after water exposure were measured to determine water induced hypotonic shock. RESULTS: The low-grade RT4 cells started swelling immediately upon exposure to water followed by rupture within 3 minutes. The higher grade TCCSUP and T24 cells demonstrated limited hypotonic swelling with significantly less cell rupture after 10 minutes. The damage to cell membrane of RT4 cells was evident at 1 minute; only 10.0% of cells were intact at 10 minutes. On the other hand, 41.9% and 77.8% of TCCSUP and T24 cells were intact at 10 minutes, respectively. Percentage of viable cells at 10 minutes was 2.1 ± 2.3%, 2.3 ± 0.4%, and 16.1 ± 0.6% for RT4, TCCSUP, and T24, respectively. CONCLUSIONS: Cytocidal effect of hypotonic shock can be achieved, to varying degrees, by exposing bladder cancer cells to water for at least 10 minutes. This in vitro study may have bearing on the effects seen with intraperitoneal lavage using sterile water during radical cystectomy.
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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".