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

  • HUMAN GENETICS
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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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DATA AVAILABILITY

All data generated or analyzed during this study are included in this article and its supplementary material files. Further enquiries can be directed to the corresponding author.

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ACKNOWLEDGMENTS

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Funding

This work was supported by the Huai’an Natural Science Research Program (HAB202206).

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Authors and Affiliations

  1. Department of Obstetrics and Gynecology, The Affiliated Huai’an No. 1 People’s Hospital of Nanjing Medical University, 223300, Huai’an, Jiangsu, China

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

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Contributions

Hongge Xu and Can Shi carried out the Conception and design of the research, Yingchun Gao participated in the Acquisition of data. Ting Zhang carried out the Analysis and interpretation of data. Jueying Zhao carried out in the design of the study and performed the statistical analysis. Can Shi and Hongge Xu conceived of the study, and participated in its design and coordination and helped to draft the manuscript and revision of manuscript for important intellectual content. All authors read and approved the final manuscript.

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Correspondence to C. Shi.

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Supplementary Information

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Suppl. Fig. S1. Uniform manifold approximation and orojection for dimension reduction. (а) UMAP of samples before batch removal; (b) UMAP of samples after batch removal.

Suppl. Fig. S2. Flow chart.

Suppl. Fig. S3. The infiltration level of immune cells in the samples.

Suppl. Fig. S4. Parameters of LASSO model. (а) LASSO coefficient profiles; (b) LASSO deviance profiles.

Suppl. Fig. S5. ceRNA network of genes related with prognosis. The green circle and the red circle represent down-regulated and up-regulated genes, respectively. The blue and purple diamonds indicate down-regulation and up-regulation of circRNA, respectively. The triangle represents miRNA. The gray line indicates that circRNA competes to bind miRNA. The green connection indicates that miRNA regulates gene.

Suppl. Table S1. The information of enrolled database.

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Xu, H., Zhao, J., Zhang, T. et al. Development Immune-Related Prognostic Model and LncRNA-miRNA-mRNA ceRNA Network for Cervical Cancer. Russ J Genet 60, 375–386 (2024). https://doi.org/10.1134/S1022795424030165

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