Custom scoring based on ecological topology of gut microbiota associated with cancer immunotherapy outcome

Lisa Derosa, Valerio Iebba, Carolina Alves Costa Silva, Gianmarco Piccinno, Guojun Wu, Leonardo Lordello, Bertrand Routy, Naisi Zhao, Cassandra Thelemaque, Roxanne Birebent, Federica Marmorino, Marine Fidelle, Meriem Messaoudene, Andrew Maltez Thomas, Gerard Zalcman, Sylvie Friard, Julien Mazieres, Clarisse Audigier-Valette, Denis Moro Sibilot, François GoldwasserArnaud Scherpereel, Hervé Pegliasco, François Ghiringhelli, Nicole Bouchard, Cissé Sow, Ines Darik, Silvia Zoppi, Pierre Ly, Anna Reni, Romain Daillère, Eric Deutsch, Karla A. Lee, Laura A. Bolte, Johannes R. Björk, Rinse K. Weersma, Fabrice Barlesi, Lucas Padilha, Ana Finzel, Morten L. Isaksen, Bernard Escudier, Laurence Albiges, David Planchard, Fabrice André, Chiara Cremolini, Stéphanie Martinez, Benjamin Besse, Liping Zhao, Nicola Segata, Jérôme Wojcik, Guido Kroemer, Laurence Zitvogel

    Résultats de recherche: Contribution à un journalArticleRevue par des pairs

    2 Citations (Scopus)

    Résumé

    The gut microbiota influences the clinical responses of cancer patients to immunecheckpoint inhibitors (ICIs). However, there is no consensus definition of detrimental dysbiosis. Based on metagenomics (MG) sequencing of 245 non-small cell lung cancer (NSCLC) patient feces, we constructed species-level co-abundance networks that were clustered into species-interacting groups (SIGs) correlating with overall survival. Thirty-seven and forty-five MG species (MGSs) were associated with resistance (SIG1) and response (SIG2) to ICIs, respectively. When combined with the quantification of Akkermansia species, this procedure allowed a person-based calculation of a topological score (TOPOSCORE) that was validated in an additional 254 NSCLC patients and in 216 genitourinary cancer patients. Finally, this TOPOSCORE was translated into a 21-bacterial probe set-based qPCR scoring that was validated in a prospective cohort of NSCLC patients as well as in colorectal and melanoma patients. This approach could represent a dynamic diagnosis tool for intestinal dysbiosis to guide personalized microbiota-centered interventions.

    langue originaleAnglais
    Pages (de - à)3373-3389.e16
    journalCell
    Volume187
    Numéro de publication13
    Les DOIs
    étatPublié - 20 juin 2024

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