Novel T cell exhaustion gene signature to predict prognosis and immunotherapy response in thyroid carcinoma from integrated RNA-sequencing analysis

基于整合RNA测序分析的新型T细胞耗竭基因特征预测甲状腺癌的预后和免疫治疗反应

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Abstract

Exhausted CD8(+) T lymphocytes and tumor-associated macrophages play critical roles in determining cancer prognosis and the efficacy of immunotherapy. Our study revealed a negative correlation between exhausted CD8(+) T lymphocytes and prognosis in thyroid carcinoma (THCA). Consensus clustering divided patients into two subgroups of exhaustion with different prognoses, as defined by marker genes of exhausted CD8(+) T cells. Subsequently, we constructed an eight-gene prognostic signature, and developed a risk score named the exhaustion-related gene score (ERGS) to forecast both prognosis and immunotherapy response in THCA. Bulk RNA sequencing analysis revealed a higher prevalence of M2 macrophages, indicative of an immunosuppressive tumor microenvironment (TME), in the high-ERGS group. Single-cell RNA sequencing showed that SPP1(+) macrophages and CD14(+) monocytes infiltrations were positively associated with higher ERGS. Functionally, it was determined that SPP1(+) macrophages exert an immunosuppressive role, while CD14(+) monocytes were implicated in promoting tumor progression and angiogenesis. Analysis of cell-cell interactions between SPP1(+) macrophages and T cells highlighted the activation of the SPP1-CD44 and MIF-CD74 axes, both of which could foster an immunosuppressive TME. Therapeutic strategies that target SPP1(+) macrophages, CD14(+) monocytes, and the SPP1-CD44 and MIF-CD74 axes may potentially improve the prognosis and amplify the immunotherapy response in THCA patients.

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