ASPM, CDC20, DLGAP5, BUB1B, CDCA8, and NCAPG May Serve as Diagnostic and Prognostic Biomarkers in Endometrial Carcinoma.

IF 2.1 4区生物学 Q4 GENETICS & HEREDITY

Genetics research Pub Date : 2022-09-17 eCollection Date: 2022-01-01 DOI:10.1155/2022/3217248

Qiaoling Zhang, Yingmei Wang, Fengxia Xue

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引用次数: 1

Abstract

Uterine Corpus Endometrial Carcinoma (UCEC), the most common gynecologic malignancy in developed countries, remains to be a major public health problem. Further studies are surely needed to elucidate the tumorigenesis of UCEC. Herein, intersecting 203 differentially expressed genes (DEGs) were identified with the GSE17025, GSE63678, and The Cancer Genome Atlas-UCEC datasets. The Gene Ontology/Kyoto Encyclopedia of Genes and Genomes functional enrichment analysis and protein-protein interaction (PPI) network were performed on those 203 DEGs. Intriguingly, 6 of the top 10 nodes in the PPI network were related to unfavorable prognosis, that is, ASPM, CDC20, DLGAP5, BUB1B, CDCA8, and NCAPG. The mRNA and protein expression levels of the 6 hub genes were elevated in UCEC tissues compared to normal tissues. Higher expression of the 6 hub genes was associated with poor prognostic clinicopathological characteristics. The receiver operating characteristic curve suggested the significant diagnostic ability of the 6 hub genes for UCEC. Then, underlying pathogeneses of UCEC including promoter methylation level, TP53 mutation status, genomic genetic variation, and immune cells infiltration were analyzed. The mRNA expression level of the 6 hub genes was also higher in cervical squamous cell carcinoma and endocervical adenocarcinoma, uterine carcinosarcoma, and ovarian serous cystadenocarcinoma tissues than in corresponding normal tissues. In conclusion, ASPM, CDC20, DLGAP5, BUB1B, CDCA8, and NCAPG may be considered diagnostic and prognostic biomarkers in UCEC.

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ASPM、CDC20、DLGAP5、BUB1B、CDCA8和NCAPG可能作为子宫内膜癌的诊断和预后生物标志物。

子宫内膜癌(UCEC)是发达国家最常见的妇科恶性肿瘤，仍然是一个重大的公共卫生问题。我们需要进一步的研究来阐明UCEC的肿瘤发生机制。本文用GSE17025、GSE63678和the Cancer Genome Atlas-UCEC数据集鉴定了203个交叉的差异表达基因(deg)。对这203个基因进行了基因本体/京都基因与基因组百科全书功能富集分析和蛋白-蛋白相互作用(PPI)网络分析。有趣的是，PPI网络前10个节点中有6个与不良预后相关，即ASPM、CDC20、DLGAP5、BUB1B、CDCA8和NCAPG。与正常组织相比，UCEC组织中6个hub基因的mRNA和蛋白表达水平均升高。6个hub基因的高表达与预后不良的临床病理特征相关。受试者工作特征曲线显示6个枢纽基因对UCEC的诊断能力显著。然后，分析UCEC的潜在发病机制，包括启动子甲基化水平、TP53突变状态、基因组遗传变异和免疫细胞浸润。6个hub基因在宫颈鳞状细胞癌、宫颈内膜腺癌、子宫癌肉瘤和卵巢浆液性囊腺癌组织中的mRNA表达水平也高于相应的正常组织。总之，ASPM、CDC20、DLGAP5、BUB1B、CDCA8和NCAPG可作为UCEC的诊断和预后生物标志物。

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

Genetics research 生物-遗传学

自引率

6.70%

发文量

审稿时长

>12 weeks

期刊介绍： Genetics Research is a key forum for original research on all aspects of human and animal genetics, reporting key findings on genomes, genes, mutations and molecular interactions, extending out to developmental, evolutionary, and population genetics as well as ethical, legal and social aspects. Our aim is to lead to a better understanding of genetic processes in health and disease. The journal focuses on the use of new technologies, such as next generation sequencing together with bioinformatics analysis, to produce increasingly detailed views of how genes function in tissues and how these genes perform, individually or collectively, in normal development and disease aetiology. The journal publishes original work, review articles, short papers, computational studies, and novel methods and techniques in research covering humans and well-established genetic organisms. Key subject areas include medical genetics, genomics, human evolutionary and population genetics, bioinformatics, genetics of complex traits, molecular and developmental genetics, Evo-Devo, quantitative and statistical genetics, behavioural genetics and environmental genetics. The breadth and quality of research make the journal an invaluable resource for medical geneticists, molecular biologists, bioinformaticians and researchers involved in genetic basis of diseases, evolutionary and developmental studies.