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Intestinal Akkermansia muciniphila predicts clinical response to PD-1 blockade in patients with advanced non-small-cell lung cancer.

Lisa DerosaBertrand RoutyAndrew Maltez ThomasValerio IebbaGérard ZalcmanSylvie FriardJulien MazieresClarisse Audigier-ValetteDenis Moro-SibilotFrançois GoldwasserCarolina Alves Costa SilvaSafae TerrisseMelodie BonvaletArnaud ScherpereelHervé PegliascoCorentin RichardFrançois GhiringhelliArielle ElkriefAntoine DesiletsFelix Blanc-DurandFabio CumboAitor Blanco-MíguezRomain BoidotSandy ChevrierRomain DaillèreGuido KroemerLaurie AllaNicolas PonsEmmanuelle Le ChatelierNathalie GalleronHugo RoumeAgathe DubuissonNicole BouchardMeriem MessaoudeneDamien DrubayEric DeutschFabrice BarlesiDavid PlanchardNicola SegataStéphanie MartinezLaurence ZitvogelJean-Charles SoriaBenjamin Besse
Published in: Nature medicine (2022)
Aside from PD-L1 expression, biomarkers of response to immune checkpoint inhibitors (ICIs) in non-small-cell lung cancer (NSCLC) are needed. In a previous retrospective analysis, we documented that fecal Akkermansia muciniphila (Akk) was associated with clinical benefit of ICI in patients with NSCLC or kidney cancer. In the current study, we performed shotgun-metagenomics-based microbiome profiling in a large cohort of patients with advanced NSCLC (n = 338) treated with first- or second-line ICIs to prospectively validate the predictive value of fecal Akk. Baseline stool Akk was associated with increased objective response rates and overall survival in multivariate analyses, independent of PD-L1 expression, antibiotics, and performance status. Intestinal Akk was accompanied by a richer commensalism, including Eubacterium hallii and Bifidobacterium adolescentis, and a more inflamed tumor microenvironment in a subset of patients. However, antibiotic use (20% of cases) coincided with a relative dominance of Akk above 4.8% accompanied with the genus Clostridium, both associated with resistance to ICI. Our study shows significant differences in relative abundance of Akk that may represent potential biomarkers to refine patient stratification in future studies.
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