Prioritizing exhausted T cell marker genes highlights immune subtypes in pan-cancer

• DOI: 10.1016/j.isci.2023.106484
• Publication Date: 2023-03-24T02:15:42Z
• Authors: Chunlong Zhang; Qi Sheng; Xue Zhang; Kang Xu; Xiaoyan Jin; Weiwei Zhou; Mengying Zhang; Dezhong Lv; Changbo Yang; Yongsheng Li; Juan Xu; Xia Li
• Keywords: TIGIT; Cancer Immunotherapy; Gene signature

Exhausted T (TEX) cells are main immunotherapy targets in cancer, but it lacks a general identification method to characterize TEX cell disease. To assess the characterization of cell, we extract signature from large cancer and chronic infection cohorts. Based on single-cell transcriptomes, systematic exhaustion prediction (TEXP) model is designed define infection. We then prioritize 42 marker genes, including HAVCR2, PDCD1, TOX, TIGIT LAG3, which associated with exhaustion. TEXP could identify high low subtypes pan-cancer TCGA. The characterized by immune score, infiltration, expression genes poor prognosis. In summary, provide resource for understanding function implications cancer.