ArticleHeliyon2023
Identifying TME signatures for cervical cancer prognosis based on GEO and TCGA databases.
Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 15 citations in OpenAlex.
- Prognostic risk modeling based on integrated multi-omics analysis identifies CRY2 as a key regulator in tumor immunity and patient survival in colorectal cancer.Annals of medicine · 2026Article
- Integrated Multi-Omics Analysis of Gut Microbiota-Associated Metabolites and Related Host Molecular Signatures in Cervical Squamous Cell Carcinoma.Applied biochemistry and biotechnology · 2026Article
- RBM15 in diseases: Molecular mechanisms and clinical opportunities from RNA mGenes & diseases · 2026Review
- Integrative Machine-Learning Molecular Subtyping and Risk Scores of Circadian Rhythm-Related Prognostic Signatures in Colorectal Cancer.Journal of gastrointestinal cancer · 2026Article
- Transcriptomics and single-cell RNA sequencing uncover prognostic characteristics and immune regulatory mechanisms of lactylation in cervical cancer.BioImpacts : BI · 2026Article
- Identification of a prognostic signature based on ammonia metabolism-related genes in clear cell renal cell carcinoma: an integrated analysis of bulk and single-cell transcriptomics.Frontiers in immunology · 2026Article
- An Exploratory Analysis of Potential Core Targets and Signaling Pathways Linking Dexmedetomidine to Diabetes Insipidus: Integration of FAERS Pharmacovigilance Data, Network Toxicology and Clinical Transcriptomics.Drug design, development and therapy · 2026Article
- LINC00460 drives clear cell renal cell carcinoma progression via complement/coagulation and p53 pathways: a potential therapeutic target.American journal of translational research · 2026Article
- Single-cell transcriptomics reveals a correlation between inflammatory C7 fibroblasts in cervical tumor-adjacent normal tissues and cervical cancer progression.Frontiers in cell and developmental biology · 2026Article
- Single-Cell RNA Sequencing Analysis Reveals Correlation Between Immune Cell Composition and Gene Expression in Cervical Cancer.Journal of cellular and molecular medicine · 2026Article
- Identification of NK cell marker genes based on single-cell sequencing to establish a prognostic signature in breast cancer.Discover oncology · 2025Article
- UPP1 is a dual biomarker of prognosis and immune microenvironment in IDH wild-type glioblastoma.Scientific reports · 2025Article
- Association and interaction network analysis of immune cell subgroups in cervical cancer microenvironment based on Mendelian randomization.Discover oncology · 2025Article
- Integrative Analysis of Neutrophil-Associated Genes Reveals Prognostic Significance and Immune Microenvironment Modulation in Cervical Cancer.Biomedicines · 2025Article
- Mendelian randomization reveals immune cell composition as a key determinant of cervical cancer prognosis.Discover oncology · 2025Article
- Comprehensive Single-Cell RNA Sequencing Analysis of Cervical Cancer: Insights Into Tumor Microenvironment and Gene Expression Dynamics.International journal of genomics · 2025Article
- Pan-cancer analysis of integrin alpha family and prognosis validation in head and neck squamous cell carcinoma.Frontiers in oncology · 2025Article
- Methods in DNA methylation array dataset analysis: A review.Computational and structural biotechnology journal · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The mortality rate from cervical cancer (CESC), a malignant tumor that affects women, has increased significantly globally in recent years. The discovery of biomarkers points to a direction for the diagnosis of cervical cancer with the advancement of bioinformatics technology. The goal of this study was to look for potential biomarkers for the diagnosis and prognosis of CESC using the GEO and TCGA databases. Because of the high dimension and small sample size of the omic data, or the use of biomarkers generated from a single omic data, the diagnosis of cervical cancer may be inaccurate and unreliable. The purpose of this study was to search the GEO and TCGA databases for potential biomarkers for the diagnosis and prognosis of CESC. We begin by downloading CESC (GSE30760) DNA methylation data from GEO, then perform differential analysis on the downloaded methylation data and screen out the differential genes. Then, using estimation algorithms, we score immune cells and stromal cells in the tumor microenvironment and perform survival analysis on the gene expression profile data and the most recent clinical data of CESC from TCGA. Then, using the 'limma' package and Venn plot in R language to perform differential analysis of genes and screen out overlapping genes, these overlapping genes were then subjected to GO and KEGG functional enrichment analysis. The differential genes screened by the GEO methylation data and the differential genes screened by the TCGA gene expression data were intersected to screen out the common differential genes. A protein-protein interaction (PPI) network of gene expression data was then created in order to discover important genes. The PPI network's key genes were crossed with previously identified common differential genes to further validate them. The Kaplan-Meier curve was then used to determine the prognostic importance of the key genes. Survival analysis has shown that CD3E and CD80 are important for the identification of cervical cancer and can be considered as potential biomarkers for cervical cancer.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.