ArticleFrontiers in oncology2022
Development and Validation of an Immune-Related Prognostic Signature in Cervical Cancer.
Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Spatially organized macrophage-T-cell crosstalk in cervical cancer: insights from single-cell and spatial omics.Frontiers in immunology · 2026Review
- Role of NTRK Fusion Genes in the Tumor Immune Microenvironment of HPV (+/-) Cervical Cancer.Journal of medical virology · 2025Review
- In silico research of coagulation- and fibrinolysis-related genes for predicting prognosis of clear cell renal cell carcinoma.Translational andrology and urology · 2025Article
- The promise of PD1/PDL1 targeted immunotherapy in locally advanced cervical cancer: a game-changer for patients outcome?Frontiers in immunology · 2025Review
- Identification and validation of ubiquitination-related genes for predicting cervical cancer outcome.Frontiers in genetics · 2025Article
- Identification of a novel prognostic model for gastric cancer utilizing glutamine-related genes.Heliyon · 2024Article
- Identification of key genes and diagnostic model associated with circadian rhythms and Parkinson's disease by bioinformatics analysis.Frontiers in aging neuroscience · 2024Article
- Identification and validation of diagnostic genes associated with neutrophil extracellular traps of type 2 diabetes mellitus.Frontiers in genetics · 2024Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Cervical cancer is the fourth most frequent gynecological malignancy across the world. Immunotherapies have proved to improve prognosis of cervical cancer. However, few studies on immune-related prognostic signature had been reported in cervical cancer. Methods: Raw data and clinical information of cervical cancer samples were downloaded from TCGA and UCSC Xena website. Immunophenoscore of immune infiltration cells in cervical cancer samples was calculated through the ssGSEA method using GSVA package. WGCNA, Cox regression analysis, LASSO analysis, and GSEA analysis were performed to classify cervical cancer prognosis and explore the biological signaling pathway. Results: There were eight immune infiltration cells associated with prognosis of cervical cancer. Through WGCNA, 153 genes from 402 immune-related genes were significantly correlated with prognosis of cervical cancer. A 15-gene signature demonstrated powerful predictive ability in prognosis of cervical cancer. GSEA analysis showed multiple signaling pathways containing Programmed cell death ligand-1 (PD-L1) expression and PD-1 checkpoint pathway differences between high-risk and low-risk groups. Furthermore, the 15-gene signature was associated with multiple immune cells and immune infiltration in tumor microenvironment. Conclusion: The 15-gene signature is an effective potential prognostic classifier in the immunotherapies and surveillance of cervical cancer.
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