作者: Xin-Bin Pan , Yan Lu , Jian-Li Huang , Ying Long , De-Sheng Yao
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摘要: Cervical squamous cell carcinoma (CSCC) is one of the most commonly occurring gynecological malignancies. Because CSCC a biologically heterogeneous disease, its prognosis varies. Therefore, identifying prognostic biomarkers that reflect biological heterogeneity could lead to better interventions for patients with poor prognosis. This study used ESTIMATE algorithm identify immune related genes within tumor microenvironment CSCC. The results revealed high scores were associated overall survival (P = 0.029). Differential expression analysis 384 intersection influencing both and stromal scores. Gene Ontology Kyoto Encyclopedia Genes Genomes analyses showed be mainly enriched T activation, region membrane, carbohydrate binding, cytokine-cytokine receptor interaction. Among them, 149 predictive in These findings provide more comprehensive understanding as well list