bioRxiv [Preprint]. 2024 Jun 25:2024.02.20.581048. doi: 10.1101/2024.02.20.581048.
ABSTRACT
BACKGROUND: MHC class I (MHC-I) loss is frequent in non-small cell lung cancer (NSCLC) rendering tumor cells resistant to T cell lysis. NK cells kill MHC-I-deficient tumor cells, and although previous work indicated their presence at NSCLC margins, they were functionally impaired. Within, we evaluated whether NK cell and CD8 T cell infiltration and activation vary with MHC-I expression.
METHODS: We used single-stain immunohistochemistry (IHC) and Kaplan-Meier analysis to test the effect of NK cell and CD8 T cell infiltration on overall and disease-free survival. To delineate immune covariates of MHC-I-disparate lung cancers, we used multiplexed immunofluorescence (mIF) imaging followed by multivariate statistical modeling. To identify differences in infiltration and intercellular communication between IFNγ-activated and non-activated lymphocytes, we developed a computational pipeline to enumerate single cell neighborhoods from mIF images followed by multivariate discriminant analysis.
RESULTS: Spatial quantitation of tumor cell MHC-I expression revealed intra- and inter-tumoral heterogeneity, which was associated with the local lymphocyte landscape. IHC analysis revealed that high CD56 + cell numbers in patient tumors were positively associated with disease-free survival (DFS) (HR=0.58, p =0.064) and over-all survival (OS) (HR=0.496, p =0.041). The OS association strengthened with high counts of both CD56 + and CD8 + cells (HR=0.199, p <1×10 -3 ). mIF imaging and multivariate discriminant analysis revealed enrichment of both CD3 + CD8 + T cells and CD3 – CD56 + NK cells in MHC-I-bearing tumors (p<0.05). To infer associations of functional cell states and local cell-cell communication, we analyzed spatial single cell neighborhood profiles to delineate the cellular environments of IFNγ +/- NK cells and T cells. We discovered that both IFNγ + NK and CD8 T cells were more frequently associated with other IFNγ + lymphocytes in comparison to IFNγ – NK cells and CD8 T cells (p<1×10 -30 ). Moreover, IFNγ + lymphocytes were most often found clustered near MHC-I + tumor cells.
CONCLUSIONS: Tumor-infiltrating NK cells and CD8 T cells jointly affected control of NSCLC tumor progression. Co-association of NK and CD8 T cells was most evident in MHC-I-bearing tumors, especially in the presence of IFNγ. Frequent co-localization of IFNγ + NK cells with other IFNγ + lymphocytes in near-neighbor analysis suggests NSCLC lymphocyte activation is coordinately regulated.
WHAT IS ALREADY KNOWN ON THIS TOPIC: MHC-I loss occurs frequently in NSCLC and corresponds with waning immunity in the tumor microenvironment (TME). NK cells recognize “missing-self” targets and could be leveraged to target NSCLC tumors with MHC-I loss. While NK cell presence at tumor margins has been documented in NSCLC, they were shown to lose function in this environment.
WHAT THIS STUDY ADDS: We developed spatial analysis pipelines leveraging the local heterogeneity of the TME at single cell resolution to test whether NK cells and T cells together contribute antitumoral immunity in NSCLC. We discovered that a high density of tumor-infiltrating NK cells corresponded with DFS, and this association was increased in patients with high coincident CD8 T cells, especially those in central tumor. Intriguingly, both cell types were found clustered together in MHC-I-bearing tumors, especially when both expressed IFNγ, suggesting coordinated lymphocyte activities may enhance immune control of NSCLC.
HOW THIS STUDY MIGHT AFFECT RESEARCH PRACTICE OR POLICY: This study provides a rationale for developing novel immunotherapies that simultaneously increase NK and T cell anti-tumoral immunity. Associations linking NK cells with patient survival and increased immune effector activity in NSCLC, even in MHC-I-deficient tumors, further highlights the need to devise and deploy NK cell activating strategies which may be highly efficacious in CD8 T cell refractory NSCLC.
PMID:38979183 | PMC:PMC11230195 | DOI:10.1101/2024.02.20.581048