A novel epithelial–mesenchymal transition-related lncRNA signature predicts prognosis and immune status in endometrioid endometrial cancer

Author:

Jin Yichao1ORCID,Qiu Yixuan1,Li Yujing1,Jiang Ziwei1,Hu Siwen1,Dai Huihua1ORCID

Affiliation:

1. Department of Gynecology, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.

Abstract

The pathogenesis and progression of endometrial cancer (EC) are associated with epithelial–mesenchymal transition (EMT) and long noncoding RNAs (lncRNAs). In the present study, we aimed to identify an EMT-related lncRNA signature and evaluate its prognostic value in EC. We obtained the expression profile of lncRNAs and clinical information of patients with endometrioid EC from The Cancer Genome Atlas database (N = 401). We identified a signature of 5 EMT-related lncRNAs and calculated the risk score of each patient. Next, we validated the independence of the prognostic value of the EMT-related lncRNA signature. Furthermore, we performed Gene Set Enrichment Analysis to identify potential molecular function and Kyoto Encyclopedia of Genes and Genomes pathways related to the EMT-related lncRNA signature. Tumor microenvironment analysis and immune checkpoint blockade (ICB) response prediction were also assessed. Survival analysis revealed that the high-risk group, based on the EMT-related lncRNA signature, had a poorer prognosis than the low-risk group in the training, testing, and entire sets. The predictive value of the EMT-related lncRNA signature was independent of age, The International Federation of Gynecology and Obstetrics stage, tumor grade, and body mass index. Time-dependent receiver operating characteristic curves also demonstrate the prognostic accuracy of this risk model. Gene Set Enrichment Analysis showed that cytokine-cytokine receptor interaction, glycolysis/gluconeogenesis, and IL-17 signaling pathway were significantly enriched. Furthermore, tumor microenvironment analysis indicated a significant negative correlation between the immune score and EMT-related lncRNA signature risks core, while the low-risk group was more likely to respond to ICB therapy than the high-risk group. A reliable EMT-related lncRNA signature of endometrioid EC was identified that could be utilized as an independent prognostic biomarker to predict patient survival outcomes and provide references for the option of ICB therapy.

Publisher

Ovid Technologies (Wolters Kluwer Health)

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