O-263 Sperm parameters in cancer patients: the role of cancer and cancer diagnoses
Notice bibliographique
Résumé
Abstract Study question How do sperm parameters compare in various oncologic conditions when compared with controls? Is there an association between severity of the disease and sperm parameters? Summary answer Most cancer types appear to affect sperm parameters. Motility is reduced in all cancers, while sperm concentration is strongly diminished in testicular cancer. What is known already There is no actual consensus whether cancer is negatively associated with semen quality. Some studies have reported poorer sperm parameters in men with cancer, especially testicular cancer. Others have reported no differences in semen parameters of cancer patients when compared with patients with benign diseases. Furthermore, small studies have shown conflicting differences in sperm parameters when comparing across different cancer types. Study design, size, duration Academic single-centered, retrospective cohort study with men banking sperm for fertility preservation prior to undergoing chemotherapy. A total 965 patients with various cancer types, recently diagnosed, produced at least one sample for sperm cryopreservation between 2004 and 2020. Concentration and progressive motility were analyzed for each sample at the time of cryopreservation, before beginning the chemotherapy treatments. Participants/materials, setting, methods The first sample of each patient was kept for data analysis (n = 965). The control group were unselected homosexual male couples planning parenthood, without any known fertility impairment (n = 39). Cancers were grouped as: testis (n = 297), lymphoma (n = 285), leukemia (n = 79), sarcoma (n = 85), brain (n = 61), gastro-intestinal (GI) (n = 73), ear-nose-throat (ENT) (n = 24), and other (n = 52). The last group included cancers of such as kidney, prostate, melanoma, or lung cancer. T-test and Fisher-test were used for statistical analyses. Main results and the role of chance Patients with testicular cancer had significantly lower mean sperm concentration when compared to controls (30.5 vs 69.9 M/ml; p < 0.01). Other groups showed similar concentration values when compared to controls. Furthermore 47% testicular cancer patients had oligospermia (as determined by WHO criteria) compared with 10% unselected controls (p < 0.001) However, sperm from patients with almost all types of cancer showed lower motility rates when compared to controls (31.5 to 35.0% vs 49.0%; p < 0.001). The only group showing similar motility with controls was ENT cancers (41.1% vs 49%, p = 0.2). Similarly, sperm samples from all cancer groups showed higher proportions with asthenospermia (as determined by WHO criteria) when compared with controls (39.1%-54.7% vs 18%, p < 0.01) For individual cancer groups, comparing sperm parameters between patients who survived and those who died, there were no significant differences, suggesting the severity or stage does not modulate the effect of the cancer itself on the sperm. Patients in the testis, lymphoma, leukemia, sarcoma and brain cancer groups were significantly younger than controls (25.3-29.1 vs 37.3 years old), while GI and ENT groups were similar to controls (37.4 and 36.5 vs 37.3). In the “other cancers” group, patients were significantly older than controls (44.4 vs 37.3). Limitations, reasons for caution The interpretation of the findings of this study is limited by the retrospective nature of the analysis and the potential for unmeasured confounding variables. Wider implications of the findings There is an association between abnormal sperm parameters in samples for pre-chemotherapy cryopreservation and all cancer types. This may affect the future likelihood of pregnancy. Young men with cancer need to be counselled that ICSI may be recommended should they need or choose to use their cryopreserved sperm. Trial registration number Not applicable
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».