Dataset Information

A transcriptionally und functionally distinct PD-1+ CD8+ T cell pool with predictive potential in non-small cell lung cancer treated with PD-1 blockade

ABSTRACT: Evidence from mouse chronic viral infection models suggests that CD8+ T cell subsets characterized by distinct expression levels of the receptor PD-1 diverge in their state of exhaustion and potential for reinvigoration by PD-1 blockade. However, it remains unknown whether T cells in human cancer adopt a similar spectrum of exhausted states based on PD-1 expression levels. We compared transcriptional, metabolic, and functional signatures of intratumoral CD8+ T lymphocyte populations with high (PD-1T), intermediate (PD-1N) and no PD-1 expression (PD-1-) from non-small cell lung cancer patients. We observed that, PD-1T T cells show a markedly different transcriptional and metabolic profile as compared to PD-1N and PD-1- lymphocytes, as well as an intrinsically high capacity for tumor recognition. Furthermore, while PD-1T lymphocytes are impaired in classical effector cytokine production, they produce CXCL13 that mediates immune cell recruitment to tertiary lymphoid structures. Strikingly, the presence of PD-1T cells was strongly predictive for both response and survival in a small cohort of non-small cell lung cancer patients treated with PD-1 blockade. The characterization of a distinct state of tumor-reactive, PD-1 bright lymphocytes in human cancer, which only partially resembles that seen in chronic infection, provides novel potential avenues for therapeutic intervention.

ORGANISM(S): Homo sapiens

PROVIDER: GSE99531 | GEO | 2018/05/22

REPOSITORIES: GEO

ACCESS DATA

Similar Datasets

Project description:The differentiation and effector function of tumor infiltrating lymphocytes and macrophages in the tumor microenvironment is critical for productive anti-tumor immune responses, although direct evidence for this remains poorly characterized in brain cancer patients. Using mass cytometry, single-cell RNA sequencing, and quantitative multiplex immunofluorescence, we comprehensively characterized the phenotype and single-cell transcriptome of myeloid cells and T lymphocytes that infiltrated malignant gliomas, and identified how such populations changed following neoadjuvant PD-1 checkpoint blockade in recurrent glioblastoma patients. Cells of the myelo-monocytic lineage represented approximately three quarters of the immune cell infiltrate, with T lymphocytes representing the next major immune cell subset by density and percentage, but following neoadjuvant PD-1 antibody blockade, the ratio of myeloid cells to T cells significantly decreased. We then used single-cell RNA sequencing to comprehensively define the transcriptional profiles of lymphoid and myeloid populations in these tumors. Recurrent GBM patients treated with neoadjuvant PD-1 checkpoint inhibition possessed a greater fraction of CD8+ T cells with an effector T cell transcriptional program. The increased effector T cell populations were associated with the distinct upregulation of the chemokines, CXCL9 and CXCL10 by an interferon-responsive macrophage cluster. Importantly, we also identified that neoadjuvant PD-1 blockade was associated with significantly increased cellular interactions specifically between CD8+ T cells and tumor associated macrophages within the tumor microenvironment. Together, these findings suggest that effector T cell infiltration and differentiation are increased with neoadjuvant PD-1 blockade but impeded by adaptive resistance and immunosuppression from tumor associated macrophages. Future therapeutic strategies to target this dominant immunosuppressive myeloid cell population may be needed to achieve true, therapeutic interventions in this patient population.

Dataset Information

A transcriptionally und functionally distinct PD-1+ CD8+ T cell pool with predictive potential in non-small cell lung cancer treated with PD-1 blockade

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure