Journal of Translational Medicine · 2024 · 13 citations · 34 references
Life SciencesImmunologyOncologyCancer ImmunologyImmunotherapyTranscriptomicsCancer ImmunotherapyCancer TranscriptomicsCheckpoint Inhibitor TherapyImmune Checkpoint InhibitorsImmune Checkpoint RegulationImmune CheckpointsCd8 Positive T Cell ResponsesCheckpoint Inhibitor CombinationsCheckpoint Resistance MechanismsImmune Checkpoint Blockade CombinationsImmune Checkpoint ResistanceImmune Gene Expression SignaturesSingle-cell Rna SequencingSpatial Co-expression Analysis
An increasing number of clinical studies have begun to explore combination strategies with immune checkpoint inhibitors, aiming to present new opportunities for overcoming anti-PD-1 treatment resistance in gastric cancer. Unfortunately, the exploration of certain immune checkpoint inhibitor combination strategies has yielded suboptimal results. Therefore, it is necessary to comprehensively analyze the expression patterns of immune checkpoints and identify optimal combination regimens of anti-PD-1 inhibitors with other immune checkpoint inhibitors. Leveraging single-cell RNA sequencing (scRNA-seq) and multivariate linear regression interaction models, we dissected the immune checkpoint expression characteristics of CD8+ T cells in gastric cancer and the immune checkpoint expression pattern (ICEP) mediating anti-PD-1 treatment resistance. Furthermore, we employed transcription factor analysis and CellOracle to explore the transcriptional regulatory mechanisms governing CD8+ T cell differentiation fates. Finally, we utilized Nichenet and spatial transcriptomic analysis to investigate the spatial expression patterns of immune checkpoints. Interaction analysis indicated that, among the known immune checkpoints, co-expression of NKG2A and PD-1 might exert a more profound inhibitory effect on the proliferative capacity of CD8+ T cells. The co-expression analysis revealed differential co-expression pattern of PD-1 and NKG2A, defined as ICEP1 (CD8+ T cells co-expressing PD-1, CTLA-4, TIGIT, LAG-3 or CD38) and ICEP2 (CD8+ T cells solely expressing NKG2A or co-expressing with other immune checkpoints), reflecting the co-occurrence pattern of PD-1 and the mutual exclusivity of NKG2A. Further, these two ICEP CD8+ T cell subsets represented distinct CD8+ T cell differentiation fates governed by MSC and RUNX3. Notably, ICEP2 CD8+ T cells were associated with anti-PD-1 therapy resistance in gastric cancer. This phenomenon may be attributed to the recruitment of LGMN+ macrophages mediated by the CXCL16-CXCR6 signaling pathway. This study unveiled two distinct ICEPs and the mutually exclusivity and co-occurrence characteristics of CD8+ T cells in gastric cancer. The ICEP2 CD8+ T cell subset, highly expressed in gastric cancer patients resistant to anti-PD-1 therapy, may be recruited by LGMN+ macrophages through CXCL16-CXCR6 axis. These findings provide evidence for NKG2A as a novel immunotherapeutic target in gastric cancer and offer new insights into combination strategies for immune checkpoint inhibitors in gastric cancer.
34
Comprehensive Integration of Single-Cell Data
Tim Stuart, Andrew Butler, Paul Hoffman et al. · Cell · 2019 · 16.9K citations · Full text
Inference and analysis of cell-cell communication using CellChat
Suoqin Jin, Christian F. Guerrero‐Juarez, Lihua Zhang et al. · Nature Communications · 2021 · 8.3K citations · Full text
SCENIC: single-cell regulatory network inference and clustering
Sara Aibar, Carmen Bravo González‐Blas, Thomas Moerman et al. · Nature Methods · 2017 · 6.9K citations · Full text
Signatures of T cell dysfunction and exclusion predict cancer immunotherapy response
Peng Jiang, Shengqing Gu, Deng Pan et al. · Nature Medicine · 2018 · 5.6K citations · Full text
Life Sciences, Immunology, Oncology +14
Reversed graph embedding resolves complex single-cell trajectories
Xiaojie Qiu, Qi Mao, Ying Tang et al. · Nature Methods · 2017 · 5.4K citations · Full text