疲惫的T（TEX）细胞是癌症中的主要免疫疗法靶标，但缺乏一种普遍的识别方法来表征疾病中的TEX细胞。为了评估TEX细胞的特征，我们从大型癌症和慢性感染队列中提取TEX细胞的特征。基于单细胞转录组，设计了一种系统的T细胞疲劳预测（TEXP）模型，用于定义癌症和慢性感染中的TEX细胞。然后，我们优先考虑了42个标记基因，包括HAVCR2、PDCD1、TOX、TIGIT和LAG3等与T细胞疲劳有关的基因。 TEXP能够在TCGA的全癌症中鉴定高TEX和低TEX亚型。高TEX亚型的特点是具有高免疫评分、免疫细胞浸润、高表达TEX标记基因和差的预后。总之，TEXP和标记基因提供了一种理解TEX细胞功能的资源，对于慢性感染和癌症的免疫预测和免疫疗法具有意义。© 2023 The Author(s).

Exhausted T (TEX) cells are main immunotherapy targets in cancer, but it lacks a general identification method to characterize TEX cell in disease. To assess the characterization of TEX cell, we extract signature of TEX cell from large cancer and chronic infection cohorts. Based on single-cell transcriptomes, a systematic T cell exhaustion prediction (TEXP) model is designed to define TEX cell in cancer and chronic infection. We then prioritize 42 marker genes, including HAVCR2, PDCD1, TOX, TIGIT and LAG3, which are associated with T cell exhaustion. TEXP could identify high TEX and low TEX subtypes in pan-cancer of TCGA. The high TEX subtypes are characterized by high immune score, immune cell infiltration, high expression of TEX marker genes and poor prognosis. In summary, TEXP and marker genes provide a resource for understanding the function of TEX cell, with implications for immune prediction and immunotherapy in chronic infection and cancer.© 2023 The Author(s).