Tumour microenvironment (TME) is crucial to tumorigenesis. This study aimed to uncover the differences in immune phenotypes of TME in endometrial cancer (EC) using Uterine Corpus Endometrial Carcinoma (UCEC) cohort and explore the prognostic significance. We employed GVSA enrichment analysis to cluster The Cancer Genome Atlas (TCGA) EC samples into immune signature cluster modelling, evaluated immune cell profiling in UCEC cohort (n = 538) and defined four immune subtypes of EC. Next, we analysed the correlation between immune subtypes and clinical data including patient prognosis. Furthermore, we analysed the expression of immunomodulators and DNA methylation modification. The profiles of immune infiltration in TCGA UCEC cohort showed significant difference among four immune subtypes of EC. Among each immune subtype, natural killer T cells (NKT), dendritic cells (DCs) and CD8⁺T cells were significantly associated with EC patients survival. Each immune subtype exhibited specific molecular classification, immune cell characterization and immunomodulators expression. Moreover, the expression immunomodulators were significantly related to DNA methylation level. In conclusion, the identification of immune subtypes in EC tissues could reveal unique immune microenvironments in EC and predict the prognosis of EC patients.

中文翻译：

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免疫格局在子宫内膜癌肿瘤微环境中的预后意义。

肿瘤微环境（TME）对于肿瘤发生至关重要。本研究旨在利用子宫内膜癌子宫内膜癌（UCEC）队列揭示子宫内膜癌（EC）中TME免疫表型的差异，并探讨其预后意义。我们使用GVSA富集分析将癌症基因组图谱（TCGA）EC样本聚类为免疫特征簇模型，评估UCEC队列中的免疫细胞谱（n = 538），并定义了EC的四种免疫亚型。接下来，我们分析了免疫亚型与包括患者预后在内的临床数据之间的相关性。此外，我们分析了免疫调节剂的表达和DNA甲基化修饰。TCGA UCEC队列中的免疫浸润图谱显示EC的四种免疫亚型之间存在显着差异。在每个免疫亚型中，自然杀伤性T细胞（NKT）⁺ T细胞与EC患者的生存率显着相关。每种免疫亚型均表现出特定的分子分类，免疫细胞特征和免疫调节剂表达。此外，免疫调节剂的表达与DNA甲基化水平显着相关。总之，EC组织中免疫亚型的鉴定可以揭示EC中独特的免疫微环境，并预测EC患者的预后。