Abstract CT258: Phase II trial of fecal microbiota transplantation in combination with ipilimumab and nivolumab in patients with advanced cutaneous melanoma (FMT-LUMINate trial)
Notice bibliographique
Résumé
Abstract Background: Several trials combining microbiome-based interventions with immune checkpoints inhibitors (ICI) are currently underway. Previous studies showed the potential of fecal microbiota transplant (FMT) to circumvent secondary anti-PD-1 resistance or improve first-line anti-PD-1 response in patients with advanced melanoma. Whether FMT can be used safely in combination with anti-PD-1/anti-CTLA-4 (dual ICI) and its impact on the microbiome composition remain unknown. Here, we report results from combining FMT with dual ICI in previously untreated patients (pts) with advanced melanoma (NCT04951583). Methods: 20 pts with previously untreated advanced melanoma were included. FMT from healthy donors was administered in oral capsules after bowel preparation 1 week prior to start of dual ICI. A total of 6 different donors were used. The primary endpoint was safety. Secondary endpoints included objective response rate (ORR) and microbiome shift using shotgun metagenomic sequencing. Longitudinal serum Il1rl1 gene product (sST2) epithelial integrity marker was measured. Stool from pts before and after FMT were transplanted into avatar mice (MCA-205 or B16 OVA) and then treated with dual ICI. Results: In the 20 pts enrolled, 13 (65%) were male and median age was 56. Median follow-up was 6 months (range (IQR) 3.23; 12.33). FMT alone resulted in grade 1 toxicities. Grade 1-2 immune related adverse event (irAE) occurred in 80% of pts and 65% developed grade >3 irAE. Diarrhea or colitis was the most frequent grade 3 irAE occurring in 4 (20%). 2 pts developed myocarditis (grade 3 and grade 4, respectively). 6 (30%) pts completed all 4 cycles of dual ICI. 6 (43%) pts that developed irAE grade 3 received FMT from the same donor. ORR was 70% (2 complete responses (CR) and 12 partial responses (PR)). Two pts died; one from unknown cause in PR and one from disease progression. Microbiome profiling beta-diversity analyses revealed separate clustering of responders (R) and non-responders (NR) post-FMT (p=0.024). We observed an enrichment of Prevotella copri, Ruminoccocaceae and Eubacterium in R pts post-FMT. Pts who developed colitis were found to have a higher level of sST2 in plasma 1 week after FMT in comparison to those who did not develop colitis (p<0.05). In both avatar murine tumor models, microbiome composition with R pts’ feces (without ICI) 1 month post-FMT had reduced tumor growth compared to those treated with respective NR pt feces. Additionally, dual ICI led to significantly improved tumor control in mice treated with R pts’ feces post-FMT(p<0.005). Conclusions: The addition of FMT to dual ICI resulted in significant irAEs that occurred earlier, although the proportion was similar to previously described literature, with encouraging ORR. Metagenomic analysis depicted differences in the microbiome profiles of R compared to NR pts post FMT. These results support the study of FMT and immunotherapy in the randomized setting. Citation Format: Sreya Duttagupta, Meriem Messaoudene, Rahima Jamal, Catalin Mihalcioiu, Karl Belanger, John Lenehan, Wiam Belkaid, Seema Nair Parvathy, Jade Maillou, Yongjia Hu, Mayra Ponce, Taiki Hakozaki, Eder Mendez Salazar, Michael Silverman, Saman Maleki Vareki, Arielle Elkrief, Bertrand Routy. Phase II trial of fecal microbiota transplantation in combination with ipilimumab and nivolumab in patients with advanced cutaneous melanoma (FMT-LUMINate trial) [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 2 (Late-Breaking, Clinical Trial, and Invited Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(7_Suppl):Abstract nr CT258.
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 | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,007 | 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 ».