Session: 622. Lymphomas: Translational – Non-Genetic: Poster III
Hematology Disease Topics & Pathways:
Research, Fundamental Science, Translational Research, Lymphomas, Diseases, Immune mechanism, Lymphoid Malignancies, Biological Processes
Methods: In this study, we collected an extensive dataset comprising scRNAseq data from 10 treatment-naïve NKTCL patients (GSE203663) and bulk RNAseq data from 278 patients including 128 from OEP000498, 84 from GSE160119 and 66 from GSE90597. Seurat was employed to identify T cells and their subtypes within the tumor microenvironment. Additionally, we explored the ligand-receptor pairs between T cell subtypes and NK cells by using CellChat. Additionally, we employed the corrplot R package to evaluate the correlation of candidate genes expression.
Results: We first delineate the transcriptional profiles of both normal and malignant NK cells in NKTCL patients, which were categorized into EBV-high and EBV-low based on the transcription level of EBV-encoded genes in tumors. We found that MHC-II-related molecules, including HLA-DRA, HLA-DRB, HLA-DQA, HLA-DQB, HLA-DPA, HLA-DPB, etc., were remarkably expressed in EBV-high malignant NK cells, significantly differing from normal and EBV-low malignant NK cells (log2FC>1, FDR<0.01). Interestingly, MHC-I-related molecules, such as HLA-A, HLA-B, HLA-C, and HLA-E, were substantially overexpressed in EBV-high normal NK cells. Considering the pivotal roles of EBV and MHC molecules in shaping the immune microenvironment, particularly T cell immunity, we next analyzed CD8+ T cells within the tumor microenvironment. A total of 9087 CD8+ T cells were grouped into eight clusters: C1_NAIVE (naïve T cells), C2_CM (central memory T cells), C3_MAIT, C4_EM (effector memory T cells), C5_EFF (effector T cells), C7_XCL(exhausted T cells with high XCL-1), C8_EX (exhausted T cells), and C9_PROLIFE. We observed an enrichment of exhausted CD8+ T cells (25.03%), including 15.22% in C8_EX and 9.81% in C7_XCL, in EBV-high tumors versus EBV-low tumors (13.54%). We further evaluated the expression of inhibitory molecules in tumor-infiltrating T cells, and the results revealed that TOX, HAVCR2, PDCD1, CTLA4, TIGIT and LAG3 were upregulated in CD8+ T cells from EBV-high tumors. Among these, LAG3 was the most markedly upregulated and expressed at a higher proportion, with expression levels reaching 54.02% in CD8+ T cells from EBV-high tumors compared to 42.16% in EBV-low tumors. Previous studies reported that MHC-II is the primary ligand that interacted with LAG3 on T cells. Thus, we conducted ligand-receptor interactions analysis between NK cells and CD8+ T cells in NKTCL. We observed the strongest interactions between LAG3 on CD8+ T cells and MHC-II molecules on EBV-high malignant NK cells, including HLA-DPA1, HLA-DQA1 and HLA-DRA, compared with normal NK cells and EBV-low malignant NK cells. Besides, the interactions between LAG3 and MHC-II molecules were markedly stronger than that between LAG3 and LGALS3. We further confirmed the interactions in the bulk RNAseq dataset by assessing the correlation between LAG3 and MHC-II molecules, as well as EBV transcription levels. We observed significant positive correlations between LAG3 and HLA-DPA1/DQB1(LAG3- HLA-DPA1: R=0.32, P=0.001; LAG3-HLA-DQB1: R=0.63, P<0.001), as well as between LAG3 and EBV (R=0.44, P<0.001). The above results suggested that NKTCL tumor cell-specific upregulated MHC-II molecules strongly interacted with LAG3 on CD8+ T cells, contributing to sustaining T cell exhaustion.
Conclusions: The study revealed that MHC-II molecules were significantly upregulated in EBV-high NKTCL tumor cells, strongly interacting with LAG3, which was overexpressed on tumor-infiltrating CD8+ T cells. The interactions between LAG3 and MHC-II molecules contributed to T cell exhaustion in NKTCL. Consequently, LAG3 could serve as a promising therapeutic target for NKTCL.
Disclosures: No relevant conflicts of interest to declare.
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