Intestinal <i>Akkermansia muciniphila</i> predicts overall survival in advanced non-small cell lung cancer patients treated with anti-PD-1 antibodies: Results a phase II study.
Notice bibliographique
Résumé
9019 Background: The gut microbiome, most specifically centered on one of the most prevalent anaerobic bacterium Akkermansia muciniphila (Akk), has emerged as a potential hallmark of clinical benefit to ICI. The goal of this study was to validate the prognostic significance of Akk in advanced NSCLC patients amenable to ICI. Methods: The multicentric prospective observational study enrolled patients with advanced NSCLC amenable to single agent ICI in first and second line. Stool sample was collected at study entry. Primary end-point was investigator-assessed objective response rate (ORR). We considered that a meaningful clinical difference would correlate to a 10% ORR increase in the Akk-Pos group compared to the Akk-Neg group. At least 292 patients equally divided each in each group would be required for a power at 80% and a two-sided alpha level of 5%. Results: From Dec 2015 to Nov 2019, a total of 409 patients were screened and 311 patients enrolled across 12 academic centers in France and Canada. Median age was 64yr, 32% were female, 77% had non-squamous NSCLC and PD-L1 was ≥1% in 70% of the 213 assessable samples. Akk was detectable in 158 (51%) and absent in 153 (49%) patients. Baseline characteristics were well balanced between the two groups. When considering Akk-Pos vs Akk-Neg groups the primary endpoint ORR was 27% and 17% respectively ( p = 0.04). Rates of partial response, stable disease and progressive disease (PD) were 62%, 50% and 46% respectively in the Akk-Pos group compared to 38%, 50% and 54% in the Akk-Neg group ( p = 0.04). Moreover, 57% of patients were still alive after 12 months in the Akk-Pos group vs 43% in the Akk-Neg group ( p = 0.04). Microbiome profiling demonstrated that Akk-Pos group was associated with increase bacterial diversity and enrichment of Ruminococcus, Alistipes and Eubacterium. When considering the variations of the relative abundance of Akk within the Akk-Pos group, we obtained a large interval ranging from 0.0022% up to 64.78% with a 75th percentile at 4.42%. The relative abundance of Akk within > 0% to < 4.42% range in stools at diagnosis was associated with increased ORR, overall survival (OS) in multivariate analysis, independent of PD-L1 expression and ECOG. This sub-group was associated with more inflamed tumors with upregulation of CD3e, IfngTH1 and Vcam-1. Conversely, patients with overrepresentation of Akk > 4.42% experienced more PD and shorter OS. Antibiotic use was associated with a shift in favor of Gammaproteobacteria, enrichment of Akk ( > 4.42%) and shorter OS. Conclusions: We validated the prognostic role of Akk in patients with NSCLC. Stratification based on Akk relative abundance represents a more accurate independent predictor than the binary modality. Our study provides the rationale to develop microbiome-based approach to study gut dysbiosis in routine clinical oncology care. Clinical trial information: NCT04567446.
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 | 0,002 | 0,001 |
| 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 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 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 ».