Systemic analysis of the expression and prognostic significance of USP31 in endometrial cancer

Author:

Huang YuzhenORCID,Jiang PengORCID,Chen YutingORCID,Wang JinyuORCID,Yuan Rui

Abstract

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 USP31expression 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. And 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 in predicting 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.

Publisher

Association of Basic Medical Sciences of FBIH

Subject

General Medicine

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3