Spontaneous and induced chromosomal aberrations in peripheral blood of women with endometriosis: evidence of genomic instability
Bibliographic record
Abstract
BACKGROUND: Endometriosis is a prevalent gynecological disease which can lead to certain types of cancers. We investigated the spontaneous and induced chromosomal aberrations in peripheral blood lymphocytes (PBL) of endometriosis patients. METHODS: We performed a pilot study utilizing mitomycin C (MMC) to assess chromosomal instability in the peripheral blood of participants. The patient group consisted of 20 infertile endometriosis patients and the controls of 20 healthy fertile women. Blood samples were collected, and two distinct lymphocyte cultures were prepared to evaluate the baseline and the MMC induced chromosomal aberrations. RESULTS: The results showed a significant difference before and after MMC treatment in both groups (P<0.001) and also revealed that endometriosis patients are far more sensitive to MMC than controls (P<0.001). CONCLUSIONS: The significantly higher frequency of induced and spontaneous chromosomal aberrations in patients can be consider as a sign of genomic instability and the defect in DNA repair mechanisms, which can be both assumed as a driver of cancer development in endometriosis patients.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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".