Objective To screen key genes affecting the occurrence and development of endometrial cancer based on weighted gene co-expression network and analyze their relationship with prognosis. Methods Genetic chip expression data containing the endometrial cancer tissue and normal endometrial tissue sample dataset（GSE17025） were downloaded from gene expression omnibus data base of USA National Center for Biotechnology Information. Differentially expressed genes were screened out by Limma package in R 4.2.1 software, and gene co-expression network was constructed by the WGCNA package to obtain the related modules and their gene sets, and then the module genes with the largest correlation coefficient and the differentially expressed genes were intersected by Venn package. Gene ontology（GO） analysis and Kyoto encyclopedia of genes and genome（KEGG） pathway enrichment analysis were performed on the intersecting genes, and a protein-protein interaction（PPI） network of the intersecting genes were constructed. And Cytoscape software was used to extract key genes and analyze the relationship between key genes and prognosis of endometrial carcinoma. Results A total of 2 165 differentially expressed genes were screened out, including 5 modules, among which the red module（including 304 genes） had the highest correlation with endometrial cancer（r=-0.54, P＜0.001）, and 137 genes were obtained from the intersection of the two. The intersecting genes were mainly involved in biological processes such as organelle division and nuclear differentiation, and were mainly enriched in signaling pathways such as homologous recombination and p53 signaling pathway. Seven key genes were screened out by PPI network, including abnormal spindle-like microcephaly（ASPM）-associated protein genes, budding uninhibited by benzimidazoles-1（BUB1）, budding uninhibited by benzimidazoles-1 beta（BUB1 B）, cell division cycle 20（CDC20）, kinesin family member 11（KIF11）, cyclin dependent kinase 1（CDK1） and topoisomerase Ⅱ alpha（Topo Ⅱ α）. High expression of 6 genes（ASPM, BUB1, BUB1 B, CDC20, KIF11 and Topo Ⅱ α） was associated with poor prognosis. Conclusion ASPM, BUB1, BUB1 B, CDC20, KIF11, CDK1, and Topo Ⅱ α may be the key genes affecting the occurrence and development of endometrial cancer, in which high expression of ASPM, BUB1, BUB1 B, CDC20, KIF11, and Topo Ⅱ α genes is associated with poor prognosis.

目的 分析子宫内膜样腺癌(EA)患者的多功能蛋白聚糖(VCAN)和血清癌抗原125(CA125)表达情况及其与临床病理特征的关联性.方法 选择2016-01 ～ 2019-01在该院接受门诊宫腔内膜组织取检患者120例,其中EA患者60例(EA组),不典型子宫内膜增生患者40例(不典型子宫内膜增生组),正常子宫内膜者20例(正常子宫内膜组).比较三组患者的VCAN和血清CA125水平.分析EA患者的VCAN和血清CA125表达情况与临床病理特征的关联性.结果 EA组、不典型子宫内膜增生组和正常子宫内膜组在VCAN及血清CA125的阳性率方面比较差异有统计学意义(P＜0.05);且在三组中,EA组的VCAN及血清CA125的阳性率均为最高.VCAN阳性表达的EA患者手术分期为Ⅲ/Ⅳ期、浸润深度＞1/2、出现淋巴结转移的人数比例大于VCAN阴性表达者,差异有统计学意义(P＜0.05).血清CA125阳性表达的EA患者手术分期为Ⅲ/Ⅳ期及出现淋巴结转移的人数比例大于血清CA125阴性表达者,差异有统计学意义(P＜0.05).EA患者VCAN与血清CA125表达情况具有差异性(P =0.000).结论 VCAN和血清CA125对EA的发生与发展具有重要作用,其为EA的早期诊断及治疗方案的选择提供了参考.