Lymphocyte networks are dynamic cellular communities in the immunoregulatory landscape of lung adenocarcinoma
Menée à l'aide de l'imagerie multiplex, d'un algorithme d'apprentissage automatique, d'un modèle murin génétiquement modifié et d'échantillons tumoraux fixés au formaldéhyde et inclus en paraffine après prélèvement sur des patients atteints d'un adénocarcinome du poumon, cette étude analyse l'organisation spatiale des lymphocytes, leurs interactions et leurs rôles dans la réponse immunitaire aux inhibiteurs de point de contrôle immunitaire
Lymphocytes are key for immune surveillance of tumors, but our understanding of the spatial organization and physical interactions that facilitate lymphocyte anti-cancer functions is limited. We used multiplexed imaging, quantitative spatial analysis, and machine learning to create high-definition maps of lung tumors from a Kras/Trp53-mutant mouse model and human resections. Networks of interacting lymphocytes (?lymphonets?) emerged as a distinctive feature of the anti-cancer immune response. Lymphonets nucleated from small T cell clusters and incorporated B cells with increasing size. CXCR3-mediated trafficking modulated lymphonet size and number, but T cell antigen expression directed intratumoral localization. Lymphonets preferentially harbored TCF1+ PD-1+ progenitor CD8+ T cells involved in responses to immune checkpoint blockade (ICB) therapy. Upon treatment of mice with ICB or an antigen-targeted vaccine, lymphonets retained progenitor and gained cytotoxic CD8+ T cell populations, likely via progenitor differentiation. These data show that lymphonets create a spatial environment supportive of CD8+ T cell anti-tumor responses.
Cancer Cell , article en libre accès, 2022