Department of Gynecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
College of Biomedical Engineering, Chongqing Medical University, Chongqing, China.
Biomol Biomed. 2023 May 1;23(3):426-436. doi: 10.17305/bjbms.2022.8440.
Increasing evidence indicates that multiple mechanisms are involved in the metastasis and postoperative recurrence in patients with endometrial cancer (EC). Ubiquitin-specific protease 31 (USP31) has been studied in some human tumors, but its function remains unclear in EC. In this study, we tried to investigate the expression of USP31 in EC and its possible involvement in biological signaling pathways and define its predictive value for the prognosis. Data from The Cancer Genome Atlas (TCGA) and Genotype Tissue Expression (GTEx) databases confirmed the difference in USP31 expression between EC and normal endometrium. Specimens and clinical data of 259 patients with EC who underwent primary surgery at the First Affiliated Hospital of Chongqing Medical University were collected. The independent predictive value of USP31 for the prognosis of EC patients was determined by univariate and multivariate analyses. Kaplan-Meier analysis and receiver operating characteristic curves were used for confirming the ability of USP31 to predict the prognosis. Functional enrichment analyses were used for finding the hub genes associated with USP31 and to predict the biological signaling pathways that might be involved. Our study confirms that EC patients with low expression of USP31 may have a worse prognosis. Functional annotations suggest that USP31 may participate in the mitogen-activated protein kinase signaling pathway, nuclear factor κB pathway, early 2 factor targets, and inflammatory response. USP31 may act as a promising biomarker for research in EC.
越来越多的证据表明,多种机制参与了子宫内膜癌(EC)患者的转移和术后复发。泛素特异性蛋白酶 31(USP31)在一些人类肿瘤中进行了研究,但在 EC 中的功能仍不清楚。在这项研究中,我们试图研究 USP31 在 EC 中的表达及其在生物学信号通路中的可能作用,并确定其对预后的预测价值。来自癌症基因组图谱(TCGA)和基因型组织表达(GTEx)数据库的数据证实了 USP31 在 EC 和正常子宫内膜之间的表达差异。我们收集了 259 名在重庆医科大学第一附属医院接受初次手术的 EC 患者的标本和临床数据。通过单因素和多因素分析确定 USP31 对 EC 患者预后的独立预测价值。Kaplan-Meier 分析和受试者工作特征曲线用于确认 USP31 预测预后的能力。功能富集分析用于寻找与 USP31 相关的关键基因,并预测可能涉及的生物学信号通路。我们的研究证实,USP31 低表达的 EC 患者可能预后较差。功能注释表明,USP31 可能参与丝裂原活化蛋白激酶信号通路、核因子 κB 通路、早期 2 因子靶标和炎症反应。USP31 可能作为 EC 研究中很有前途的生物标志物。