Identification of tissue-resident adaptive NK cells and their association with reduced mortality across diverse solid tumors.

Abstract

e14555 Background: Natural killer (NK) cells are innate lymphocytes that engage in direct cytotoxic responses against malignant cells and promote pro-inflammatory tumor microenvironments. While studies have predominantly focused on conventional NK cell subsets, recent findings uncovered adaptive and tissue-resident (TR) subsets with unique functional properties. The influence of distinct NK cell subsets on tumor immunobiology and clinical outcomes remains unknown. Methods: Single-cell RNA-sequencing (scRNA-seq) of primary, therapy-naïve tumors from 276 patients across 14 cancer types, as well as 39 patients treated with immune checkpoint blockade (ICB), was accessed through publicly available datasets. We employed systematic computational analyses to phenotype and examine intra-tumoral NK cells. Gene signatures for NK cell subsets were applied to bulk RNA-sequencing from 212,105 tumor samples to delineate their associations with clinical outcomes using the Caris CODEai database. Results: Six main subsets of NK cells were identified in solid tumors, including conventional CD56 dim and CD56 bright NK cells, alongside adaptive, TR adaptive, TR CD56 bright , and TR CD56 bright /adaptive subsets. Across cancer, TR adaptive NK cells emerged as the most prognostic subset, with high infiltration conferring significantly longer overall survival (HR[95% CI] = 0.68[0.66-0.69], p < 0.001) than conventional CD56 dim and CD56 bright subsets. This was also observed in cohorts of head and neck, non-small cell lung, and esophageal cancers, particularly those treated with ICB. Notably, elevated TR adaptive NK cell infiltration was more prognostic than high tumor mutational burden in these settings. This was most apparent in ICB-treated head and neck cancers (HR = 0.48[0.41-0.57], p < 0.001 vs HR = 0.90[0.76-1.04], p = 0.16). Additionally, TR adaptive NK cells were strongly correlated to the infiltration of CD8 + T cells and B cells in tumors. Underlying these observations, our scRNA-seq analyses demonstrated that TR adaptive NK cells exhibit the highest immunomodulatory activity of all subsets, expressing high levels of pro-inflammatory cytokines ( CCL3 , CXCL13 , and IFNG ) and low levels of immunosuppressive cytokines ( TGFB1 ). Mechanistically, this activity was linked to the upregulation of transcription factors associated with NK cell activation, function, and persistence and downregulation of genes related to stress response and exhaustion. Interestingly, scRNA-seq from paired pre- and post-ICB-treated tumors revealed a unique expansion of cytotoxic GZMB + TR adaptive NK cells after treatment. Conclusions: TR adaptive NK cells represent a novel subset of NK cells that may drive anti-tumor immune responses, particularly in the context of ICB treatment. Features of this unique population may be harnessed to design more effective NK cell-based therapies against solid tumors.