Development Immune-Related Prognostic Model and LncRNA-miRNA-mRNA ceRNA Network for Cervical Cancer

IF 0.6 4区生物学 Q4 GENETICS & HEREDITY Russian Journal of Genetics Pub Date : 2024-04-08 DOI:10.1134/s1022795424030165

H. Xu, J. Zhao, T. Zhang, Y. Gao, C. Shi

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引用次数: 0

Abstract

Cervical cancer is a serious threat to women’s health. The aim of this study was to provide new insights into the mechanism of cervical cancer by constructing immune-related prognostic model and ceRNA network. The mRNA and circRNA datasets of cervical cancer were downloaded from NCBI GEO database. Wilcox.test was used to screen the differential immune cells between cervical cancer patients and normal participants. WGCNA was performed for identification immune related genes. A circRNA-lncRNA-mRNA network was constructed and the genes in the network were further screened for genes related to prognosis using survival package in R software. The prognostic risk model was further validated in the TCGA database. Finally, GSEA was performed to investigate the different enrichment pathways between high_risk and low_risk groups. Nine genes (BEX4, CCL14, CCL3, CMPK2, FMOD, GHR, HLF, IGFBP5, PAG1) were selected to construct the prognostic model. Patients in the low_risk group had a significantly better prognosis than those in the high_risk group. hsa_circ_0021727-hsa-miR-133b-PAG1 regulatory axis may participate in the regulatory of cervical cancer. The enrichment pathways to patients in the high-risk group and the low-risk group were different. The results were not validated by in vitro and in vivo experiments. We developed an immune-related prognostic model and lncRNA-miRNA-mRNA ceRNA network, which can predict prognosis and understand the mechanism of cervical cancer.

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开发宫颈癌免疫相关预后模型和 LncRNA-miRNA-mRNA ceRNA 网络

摘要宫颈癌严重威胁着妇女的健康。本研究旨在通过构建与免疫相关的预后模型和ceRNA网络，为宫颈癌的发病机制提供新的见解。宫颈癌的 mRNA 和 circRNA 数据集下载自 NCBI GEO 数据库。用Wilcox.检验筛选宫颈癌患者与正常人之间的免疫细胞差异。WGCNA用于鉴定免疫相关基因。利用R软件中的survival软件包构建了一个circRNA-lncRNA-mRNA网络，并进一步筛选网络中与预后相关的基因。预后风险模型在 TCGA 数据库中得到了进一步验证。最后，进行了GSEA以研究高风险组和低风险组之间不同的富集通路。九个基因（BEX4、CCL14、CCL3、CMPK2、FMOD、GHR、HLF、IGFBP5、PAG1）被选中用于构建预后模型。hsa_circ_0021727-hsa-miR-133b-PAG1调控轴可能参与了宫颈癌的调控。高危组和低危组患者的富集途径不同。这些结果没有得到体外和体内实验的验证。我们建立了一个与免疫相关的预后模型和lncRNA-miRNA-mRNA ceRNA网络，可以预测预后并了解宫颈癌的发病机制。

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来源期刊

Russian Journal of Genetics 生物-遗传学

CiteScore

1.00

自引率

33.30%

发文量

126

审稿时长

1 months

期刊介绍： Russian Journal of Genetics is a journal intended to make significant contribution to the development of genetics. The journal publishes reviews and experimental papers in the areas of theoretical and applied genetics. It presents fundamental research on genetic processes at molecular, cell, organism, and population levels, including problems of the conservation and rational management of genetic resources and the functional genomics, evolutionary genomics and medical genetics.