Increased Chromosome Fragility in Gastric Cancer Patients
Bibliographic record
Abstract
Gastric cancer is one of the most common lethal malignancy in global and survival mainly depends on prognosis. Sister Chromatid Exchanges (SCEs) assay is a very sensitive method of detecting chromosome fragility. The aim of our study was to determine the chromosomal fragility of gastric cancer patients in vitro. Samples from 32 gastric cancer patients and 12 healthy donors were controlled. Cancer patients lymphocytes’ genome is highly fragile as treatment of the cell cultures with MMC caused a statistically significant increase of the mean SCEs frequency (p<0.01). Also, so simultaneous as MMC-induced SCEs frequency of gastric cancer patients was statistically significant (p<0.01) higher compared to the healthy donors. PRI and MI of treated with MMC and untreated lymphocytes of gastric cancer patients were significantly (p<0.01) lower than that of healthy donors. These results suggest that peripheral lymphocyte chromosomes of cancer patients are highly fragile and alkyliotic agents increase their fragility.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".