ArticleBMC medical genomics2021
A novel prognostic prediction model based on seven immune-related RNAs for predicting overall survival of patients in early cervical squamous cell carcinoma.
Article in BMC medical genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed.
- C-type lectin-like domain family 2 (CLEC2D) promotes proliferation and migration of breast cancer and serves as a poor prognostic factor.Breast cancer (Tokyo, Japan) · 2026Article
- Integrated WGCNA retrieval of T-cell exhaustion genes related to radiosensitivity in locally advanced cervical cancer and prediction of immunotherapy efficacy.Discover oncology · 2025Article
- Ferroptosis and cellular senescence -Related Genes in Cervical Cancer: Mechanistic Insights from Multi-Omics and Clinical Sample Analysis.Translational oncology · 2025Article
- Evaluation of PE5 Entries on the Human Proteome Project Target List.Journal of proteome research · 2025Article
- Application and clinical translational value of a predictive model based on NOncology letters · 2025Article
- Melatonin Modulates ZAP70 and CD40 Transcripts via Histone Modifications in Canine Ileum Epithelial Cells.Veterinary sciences · 2025Article
- Development and Internal-External Validation Models for Cervical Cancer Overall Survival Prognosis: A SEER-Based Study and Chinese Data.International journal of women's health · 2025Article
- New insights into potential biomarkers and their roles in biological processes associated with hepatitis C-related liver cirrhosis by hepatic RNA-seq-based transcriptome profiling.Virus research · 2024Article
- Article
- New mechanisms and biomarkers of lymph node metastasis in cervical cancer: reflections from plasma proteomics.Clinical proteomics · 2023Article
- MiR-95-3p acts as a prognostic marker and promotes cervical cancer progression by targeting VCAM1.Annals of translational medicine · 2022Article
- Construction and validation of prognostic prediction established on N6-methyladenosine related genes in cervical squamous cell carcinoma.Translational cancer research · 2022Article
- A Novel Prognostic Risk Model for Cervical Cancer Based on Immune Checkpoint HLA-G-Driven Differentially Expressed Genes.Frontiers in immunology · 2022Article
- A Novel Meiosis-Related lncRNA, Rbakdn, Contributes to Spermatogenesis by Stabilizing Ptbp2.Frontiers in genetics · 2021Article
- ZAP70 Activation Compensates for Loss of Class IA PI3K Isoforms Through Activation of the JAK-STAT3 Pathway.Cancer diagnosis & prognosisArticle
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5 authors.
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Abstract
backgroundIn this study, we aimed to mine immune-related RNAs expressed in early cervical squamous cell carcinoma to construct prognostic prediction models.
methodsThe RNA sequencing data of 309 cervical squamous cell carcinoma (CSCC) cases, including data of individuals with available clinical information, were obtained from The Cancer Genome Atlas (TCGA) database. We included 181 early-stage CSCC tumor samples with clinical survival and prognosis information (training dataset). Then, we downloaded the GSE44001 gene expression profile data from the National Center for Biotechnology Information Gene Expression Omnibus (validation dataset). Gene ontology annotation and the Kyoto Encyclopedia of Genes and Genomes pathway analyses were used to analyze the biological functions of differentially expressed immune-related genes (DEIRGs). We established protein-protein interactions and competing endogenous RNA networks using Cytoscape. Using the Kaplan-Meier method, we evaluated the association between the high- and low-risk groups and the actual survival and prognosis information. Our univariate and multivariate Cox regression analyses screened for independent prognostic factors.
resultsWe identified seven prognosis-related signature genes (RBAKDN, CXCL2, ZAP70, CLEC2D, CD27, KLRB1, VCAM1), the expression of which was markedly associated with overall survival (OS) in CSCC patients. Also, the risk score of the seven-gene signature discripted superior ability to categorize CSCC patients into high-risk and low-risk groups, with a observablydifferent OS in the training and validation datasets. We screened two independent prognostic factors (Pathologic N and prognostic score model status) that correlated significantly by univariate and multivariate Cox regression analyses in the TCGA dataset. To further explore the potential mechanism of immune-related genes, we observed associated essential high-risk genes with a cytokine-cytokine receptor interaction.
conclusionsThis study established an immune-related RNA signature, which provided a reliable prognostic tool and may be of great significance for determining immune-related biomarkers in CSCC.
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