The effects of chemotherapy with bleomycin, etoposide, and cis‐platinum on telomeres in rat male germ cells
Bibliographic record
Abstract
Co-administration of bleomycin, etoposide, and cis-platinum (BEP) has increased the 5-year survival rate of testis cancer patients to over 90%; however, this treatment induces chemotoxic effects on male germ cells. Treatment of male rats with BEP, using a similar schedule to that used in man, affects reproductive organ weights and sperm count, motility, and DNA integrity, as well as pup survival rates. Telomeres, specialized structures at the termini of chromosomes, play an important role in the maintenance of genetic stability. In previous studies, we demonstrated, using a spermatogonial cell line, that cis-platinum and bleomycin damage telomeres and that cis-platinum also inhibits telomerase activity. Our objective here was to test the hypothesis that in vivo exposure to the BEP regimen used to treat testis cancer targets telomeres in the male germ line. Adult male Brown Norway rats received chronic treatment with a BEP regimen. DNA double strand breaks were increased significantly in zygotene germ cells, as assessed by γ-H2AX immunofluorescence. Interestingly, treatment with this BEP regimen increased γ-H2AX foci in the telomere region of zygotene spermatocytes, but not in other germ cell types, such as pachytene cells, round spermatids, or elongating spermatids. Mean telomere lengths were reduced in zygotene, pachytene, round spermatid, elongating spermatid and cauda epididymal spermatozoa compared with the saline control group. Thus, telomere lengths did not recover during germ cell development. These studies demonstrate that BEP treatment is associated with an effect on telomeres.
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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".