Effects of the Chemotherapeutic Agents for Non‐Hodgkin Lymphoma, Cyclophosphamide, Doxorubicin, Vincristine, and Prednisone (CHOP), on the Male Rat Reproductive System and Progeny Outcome
Bibliographic record
Abstract
Chemotherapy of non-Hodgkin lymphoma (NHL) with cyclophosphamide, doxorubicin, vincristine, and prednisone (CHOP) is associated with significant gonadal damage. Our goal was to determine the impact of CHOP chemotherapy on the male reproductive system, fertility, and progeny outcome in the rat model. Adult male Sprague-Dawley rats received saline or CHOP, 4 cycles of 3 weeks each, at doses analogous to 1/3x, 2/3x, or 1x the human dose; males were mated to evaluate effects on progeny outcome. Reproductive organ weights were significantly decreased in the 1x CHOP-exposed group. The spermatozoal contents of the testes and epididymides were decreased in 1x CHOP-treated males; the 1/3x and 2/3x doses also affected testicular sperm contents. Seminiferous tubule diameters were decreased by 20% in 1x CHOP-treated males. Damage ranged from the presence of small vacuoles in the epithelium to tubules deprived of spermatocytes and spermatids and was accompanied by an increased incidence of germ cell apoptosis. The acridine orange assay revealed a significant increase in sperm with abnormal DNA integrity profiles in the 1x CHOP group. Despite effects on germ cell number and quality, CHOP-exposed rats remained fertile. However, a 50% decrease in live fetuses was observed in litters sired by 1x CHOP-treated males due to a significant increase in both pre-implantation and postimplantation losses; postimplantation loss was also elevated among litters sired by 2/3x CHOP-treated males. Thus, CHOP treatment affected both the quantity and quality of male germ cells; conceptal loss is a sensitive measure of the integrity of the male genome.
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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 | 0.001 | 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) | 0.001 | 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".