Identification of hub genes and pathways in Uterine corpus endometrial carcinoma (UCEC): A comprehensive in silico study

IF 2.3 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY

Biochemistry and Biophysics Reports Pub Date : 2024-11-01 DOI:10.1016/j.bbrep.2024.101860

Mahsa Ejlalidiz , Ameneh Mehri-Ghahfarrokhi , Mohammadreza Saberiyan

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引用次数: 0

Abstract

Background

Uterine corpus endometrial carcinoma (UCEC), derived from the endometrium, is the most common type of endometrial malignasis. This gynecological malignancy is very common all over the world, especially in developed countries and shows a potentially rising trend correlated with the increase in obese women.

Methods

Differentially Expressed Genes (DEGs) analysis was conducted on GSE7305 and GSE25628 datasets from the Gene Expression Omnibus (GEO). DEGs were identified using GEO2R (adjusted p-value <0.05, |logFC| > 1). Pathway analysis employed KEGG and Gene Ontology databases, while protein-protein interactions were analyzed using Cytoscape and Gephi. GEPIA was used for target gene validation.

Results

We have identified 304 common DEGs and 78 hub genes using GEO and PPI analysis, respectively. The GO and KEGG pathways analysis revealed enrichment of DEGs in extracellular matrix structural constituent, extracellular space, cell adhesion, and ECM-receptor interaction. GEPIA analysis identified three genes, ENG, GNG4, and ECT2, whose expression significantly differed between normal and tumor samples.

Conclusion

This analysis study identified the hub genes and associated pathways involved in the pathogenesis of UCEC. The identified hub genes exhibit remarkable potential as diagnostic biomarkers, providing a significant opportunity for early diagnosis and more effective therapeutic approaches for UCEC.

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识别子宫内膜癌（UCEC）的枢纽基因和通路：一项全面的硅学研究

背景来自子宫内膜的子宫体子宫内膜癌（UCEC）是最常见的子宫内膜恶性肿瘤。这种妇科恶性肿瘤在全世界都很常见，尤其是在发达国家，而且随着肥胖妇女的增加，其发病率有可能呈上升趋势。使用 GEO2R 鉴定 DEGs（调整后 p 值为 0.05，|logFC| >1）。通路分析使用 KEGG 和基因本体数据库，蛋白质-蛋白质相互作用分析使用 Cytoscape 和 Gephi。结果我们利用 GEO 和 PPI 分析分别鉴定了 304 个常见 DEGs 和 78 个枢纽基因。GO和KEGG通路分析显示，DEGs富集于细胞外基质结构成分、细胞外基质空间、细胞粘附和ECM-受体相互作用。GEPIA分析发现了三个基因，即ENG、GNG4和ECT2，它们在正常样本和肿瘤样本中的表达有显著差异。所发现的枢纽基因具有作为诊断生物标志物的巨大潜力，为 UCEC 的早期诊断和更有效的治疗方法提供了重要机会。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Biochemistry and Biophysics Reports Biochemistry, Genetics and Molecular Biology-Biophysics

CiteScore

4.60

自引率

0.00%

发文量

191

审稿时长

59 days

期刊介绍： Open access, online only, peer-reviewed international journal in the Life Sciences, established in 2014 Biochemistry and Biophysics Reports (BB Reports) publishes original research in all aspects of Biochemistry, Biophysics and related areas like Molecular and Cell Biology. BB Reports welcomes solid though more preliminary, descriptive and small scale results if they have the potential to stimulate and/or contribute to future research, leading to new insights or hypothesis. Primary criteria for acceptance is that the work is original, scientifically and technically sound and provides valuable knowledge to life sciences research. We strongly believe all results deserve to be published and documented for the advancement of science. BB Reports specifically appreciates receiving reports on: Negative results, Replication studies, Reanalysis of previous datasets.