Protein and transcript expression levels of TRIP13 signify worse prognosis in endometrioid carcinoma

Author:

Wu Quan1,Wang Zitong1,He Cai1,Guo Jingwei1,Xu Chengcheng1,Gao Yehan1,Zhang Yichen1,Ma Jiajie1,Wang Zhe1

Affiliation:

1. Shengjing Hospital of China Medical University

Abstract

Abstract This study investigated the genes implicated in endometrioid adenocarcinoma development to provide insights into the molecular diagnosis, targeted therapy, and prognostic prediction of the disease. Two mRNA microarray datasets were obtained from the Gene Expression Omnibus. Differentially expressed genes were identified, and a protein–protein interaction network was constructed. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses were performed on the genes within the network modules. Prognostic significance was determined through a survival analysis to identify the key genes. The UALCAN website was used to validate TRIP13 mRNA expression, and immunohistochemical staining was performed to evaluate TRIP13 protein expression in patient samples. Sixteen genes were significantly associated with patient prognosis. The results revealed significantly elevated TRIP13 transcription and protein expression levels in endometrial cancer tissues compared to those in normal tissues. High TRIP13 expression was significantly correlated with shorter survival and considered an independent risk factor for endometrioid adenocarcinoma. Further, a negative correlation between TRIP13 expression and infiltrating CD8 + T cell levels in uterine corpus endometrial carcinoma was observed. This study validated the correlation between TRIP13 expression and poor patient prognosis, suggesting that TRIP13 may be a biomarker for endometrioid adenocarcinoma prognosis predictions.

Publisher

Research Square Platform LLC

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