2024 World Conference on Lung Cancer (WCLC) - Posters-P3.03J.04 Single-Cell Landscape of Senescent Cells in the Lung Cancer Microenvironment Unveils Pivotal Roles of Senescent Cancer Cells

P3.03J.04 Single-Cell Landscape of Senescent Cells in the Lung Cancer Microenvironment Unveils Pivotal Roles of Senescent Cancer Cells

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The study presented in the document examines the role of senescent cells in the tumor microenvironment of lung cancer at a single-cell resolution. This research, conducted by Jie Huang and collaborators, was presented at the 2024 World Conference on Lung Cancer (WCLC). The study involves single-nucleus RNA sequencing on tissues from both normal and cancerous lungs and applies the InferCNV algorithm to assess copy number variations and distinguish malignant from non-malignant cells.<br /><br />Lung cancer tissues demonstrated increased infiltration of immune-related cells like macrophages and plasma cells, while endothelial cells diminished compared to normal tissues. Senescent scores, calculated using the SenMayo gene set, were validated by established metrics, CellAge and GeneAge. This allowed identification of senescent cells, which in the case of malignant cells, showed altered expression of various genes including PLAUR, IL32, MMP1, and others. <br /><br />Senescent malignant cells were found to be heavily involved in key pathways such as cytokine-cytokine interactions and TNF signaling. A substantial portion of non-malignant cells, including arterial endothelial cells, macrophages, and fibroblasts, were also identified as senescent, sharing similar patterns in both normal and cancer tissues.<br /><br />The study emphasizes the crucial role of senescent cancer cells in the tumor microenvironment, highlighting their enhanced communication with other cell types, suggesting they could significantly influence cancer progression. This research provides a novel, comprehensive single-cell resolution landscape of senescent cells in lung cancer, paving the way for better understanding and potentially targeting senescence in cancer therapy.

Asset Subtitle

Jie Huang

Meta Tag

Speaker Jie Huang

Topic Tumor Biology – Translational Biology

Keywords

senescent cells

tumor microenvironment

lung cancer

single-cell resolution

single-nucleus RNA sequencing

InferCNV algorithm

immune infiltration

senescent scores

cytokine interactions

TNF signaling