ArticleCancer cell international2021
Identification of a tumor microenvironment-related gene signature to improve the prediction of cervical cancer prognosis.
Article in Cancer cell international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Implications of Single-Cell RNA Sequencing in Cervical Cancer: Unravelling the Molecular Landscape.ACS omega · 2025Review
- Ferroptosis and cellular senescence -Related Genes in Cervical Cancer: Mechanistic Insights from Multi-Omics and Clinical Sample Analysis.Translational oncology · 2025Article
- SLAMF1 expression in breast cancer cells delays tumor growth in vivo.Scientific reports · 2025Article
- Integrated analysis of N6-methyladenosine- and 5-methylcytosine-related long non-coding RNAs for predicting prognosis in cervical cancer.Hereditas · 2024Article
- Novel biomarkers of inflammation-associated immunity in cervical cancer.Frontiers in oncology · 2024Article
- Article
- SLAM-family receptors come of age as a potential molecular target in cancer immunotherapy.Frontiers in immunology · 2023Review
- Construction of a prognostic signature of RFC5 immune-related genes in patients with cervical cancer.Cancer biomarkers : section A of Disease markers · 2023Article
- Transcriptome Analysis Reveals the Immune Infiltration Profiles in Cervical Cancer and Identifies KRT23 as an Immunotherapeutic Target.Frontiers in oncology · 2022Article
- Comprehensive Molecular Analyses of a TNF Family-Based Gene Signature as a Potentially Novel Prognostic Biomarker for Cervical Cancer.Frontiers in oncology · 2022Article
- Elevated Ras related GTP binding B (RRAGB) expression predicts poor overall survival and constructs a prognostic nomogram for colon adenocarcinoma.Bioengineered · 2021Article
- Constructe a novel 5 hypoxia genes signature for cervical cancer.Cancer cell international · 2021Article
- Metabolic Molecule PLA2G2D Is a Potential Prognostic Biomarker Correlating With Immune Cell Infiltration and the Expression of Immune Checkpoint Genes in Cervical Squamous Cell Carcinoma.Frontiers in oncology · 2021Article
- Development of a Novel Immune Infiltration-Based Gene Signature to Predict Prognosis and Immunotherapy Response of Patients With Cervical Cancer.Frontiers in immunology · 2021Article
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7 authors.
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Abstract
backgroundPrevious studies have found that the microenvironment of cervical cancer (CESC) affects the progression and treatment of this disease. Thus, we constructed a multigene model to assess the survival of patients with cervical cancer.
methodsWe scored 307 CESC samples from The Cancer Genome Atlas (TCGA) and divided them into high and low matrix and immune scores using the ESTIMATE algorithm for differential gene analysis. Cervical cancer patients were randomly divided into a training group, testing group and combined group. The multigene signature prognostic model was constructed by Cox analyses. Multivariate Cox analysis was applied to evaluate the significance of the multigene signature for cervical cancer prognosis. Prognosis was assessed by Kaplan-Meier curves comparing the different groups, and the accuracy of the prognostic model was analyzed by receiver operating characteristic-area under the curve (ROC-AUC) analysis and calibration curve. The Tumor Immune Estimation Resource (TIMER) database was used to analyze the relationship between the multigene signature and immune cell infiltration.
resultsWe obtained 420 differentially expressed genes in the tumor microenvironment from 307 patients with cervical cancer. A three-gene signature (SLAMF1, CD27, SELL) model related to the tumor microenvironment was constructed to assess patient survival. Kaplan-Meier analysis showed that patients with high risk scores had a poor prognosis. The ROC-AUC value indicated that the model was an accurate predictor of cervical cancer prognosis. Multivariate cox analysis showed the three-gene signature to be an independent risk factor for the prognosis of cervical cancer. A nomogram combining the three-gene signature and clinical features was constructed, and calibration plots showed that the nomogram resulted in an accurate prognosis for patients. The three-gene signature was associated with T stage, M stage and degree of immune infiltration in patients with cervical cancer.
conclusionsThis research suggests that the developed three-gene signature may be applied as a biomarker to predict the prognosis of and personalized therapy for CESC.
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