Abstract 6522: Sex differences in gut microbial composition during pelvic radiation therapy in experimental models of muscle-invasive bladder cancer
Notice bibliographique
Résumé
Background: Radical cystectomy is the standard of care for muscle-invasive bladder cancer (MIBC) but significantly impacts patients’ quality of life. As not all patients are surgery-eligible, radiation therapy (RT) has emerged as a viable bladder-sparing approach. Yet, 25-30% of patients do not respond and will require salvage cystectomy. To add, while females are less at risk for bladder cancer, they tend to develop more aggressive disease phenotypes, and poorer response to surgery or RT. Determinants of radiation efficacy may reside outside the stole study of the tumor micro-environment (TME), as the gut microbiome, which is implicated in radiation-induced toxicity, may be influential in polarizing tumor responses to RT. Although RT effects on the microbiome have been previously studied, relationship between TME, local immune responses and gut microbes have yet to be described in MIBC. Methods: C57Bl/6 male (n=20) and female (n=20) mice were treated with 6x6Gy of RT to the bladder or left untreated (n=10 per group) then monitored for 4 weeks without tumor induction. We then generated a N-butyl-N-(4-hydroxybutyl) nitrosamine (BBN) bladder tumor model where 3x8Gy radiation was administered to the bladder tumor at week 16 of BBN exposure. After RT was administered, stool samples were collected from all mice for 4 weeks for 16S rRNA-sequencing. Sequence data was converted to metabolic pathways using PiCRUST2. Formalin-fixed tumor tissues were stained by immunohistochemistry for B cell, T cell, macrophages and neutrophil markers. Results: RT-treated males associated with high abundance of Akkermansia, Bifidobacterium and Faecalibaculum, all promoters gut health and response to anti-cancer therapies in humans. In contrast, RT-treated females selectively clustered according to Roseburia, Romboutsia and Bifidobacterium abundance. Females appeared more resistant to RT-induced dysbiosis at baseline, a protection that is abrogated upon tumor induction. RT treatment following tumor induction led to increased Clostridium abundance in females but decreased abundance in males. To add, KEGG pathways analysis predicted increased proteasome and flavonoid synthesis activity in females receiving RT, suggesting higher rates of metabolic conversion in females compared to males. Lastly, tumor immune infiltrates varied in composition and quantity according to both sex and treatment, underlining the sex-specific impacts of RT on both the microbiome and TME. Conclusion: Our results indicate pelvic RT does affect microbiome composition with significant dysbiosis in males compared to females. Differential composition in both sexes upon tumor induction suggest RT does not affect males and female microbiomes similarly, which may condition distinct tumor immune responses. This is the first study to link sex, microbiome and RT in experimental models of MIBC to our knowledge. Citation Format: Éva Michaud, Matthew Stendel, José Joao Mansure, Fabio Cury, Wassim Kassouf. Sex differences in gut microbial composition during pelvic radiation therapy in experimental models of muscle-invasive bladder cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 6522.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,001 |
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 source (Gemma direct ou Codex distillé), 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 ».