From the Departments of *Pharmacology and Therapeutics and of Obstetrics and Gynecology, McGill University,
Bibliographic record
Abstract
ABSTRACT: The incidence of testicular cancer has increased dramatically over the past 50 years. Advances in treatment, which include the coadministration of bleomycin, etoposide, and cis-platinum (BEP), have brought the cure rate to over 90%. After treatment, most patients go through a temporary period of azoo/ oligozoospermia. Although the sperm concentration in approximately 80 % of the patients returns to at least 10 million/mL, little is known about the integrity of the chromatin of their germ cells. Using an animal model, we assessed DNA integrity in the spermatozoa of male rats treated for 3, 6 or 9 weeks with BEP at doses, adjusted for surface area, equivalent to 0X, 1/3X, 2/3X, or 1X of the human dose. We did not observe any difference in protamination content, as assessed by the chromomycin A3 (CMA3) assay. After 9 weeks of 1X treatment, the susceptibility of DNA to denaturation evaluated by the sperm chromatin structure assay (SCSAH)/acridine orange assay (AO) was increased, as well as the number of single and double DNA strand breaks measured by the TUNEL and COMET assays. Parameters obtained from the AO and TUNEL assays were highly correlated with the motility of the spermatozoa, suggesting that conventional sperm analysis parameters can serve as a good indicator of chromatin integrity and vice versa. Correlation studies also suggested that the parameters obtained with the different assays do not overlap, but complement each other. Thus, BEP treatment altered spermatozoal chromatin quality, and these altera-tions may impact adversely on progeny outcome.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.217 | 0.039 |
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".