ArticleImmunity, inflammation and disease2022
Characterizing the landscape of cervical squamous cell carcinoma immune microenvironment by integrating the single-cell transcriptomics and RNA-Seq.
Article in Immunity, inflammation and disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed, 14 citations in OpenAlex.
- Advancements in single-cell sequencing for cervical cancer research.Molecular and cellular biochemistry · 2026Review
- TIGIT impairs NK cell antifibrotic activity through the IFNγ-IFI30 axis in schistosomiasis-induced liver fibrosis.Frontiers in immunology · 2026Article
- TGFBI in tumors and the tumor immune microenvironment: functional roles, mechanisms, and therapeutic targeting.Frontiers in immunology · 2026Review
- A ferroptosis-related risk model for non-coding RNA AC002331.1 in colon cancer: construction via competing endogenous RNA network analysis.Discover oncology · 2025Article
- Mapping the immunological landscape and emerging immunotherapeutic strategies in cervical cancer: a comprehensive review.Frontiers in oncology · 2025Review
- The Sensitive Genes for Cervical Cancer: Two-Sample Mendelian Randomization with Experimental Validation.International journal of women's health · 2025Article
- Profiling of immune cell subsets and functional characteristics of cervical cancer based on single cell RNA sequencing.Frontiers in immunology · 2025Article
- Single-nucleus RNA sequencing and deep tissue proteomics reveal distinct tumour microenvironment in stage-I and II cervical cancer.Journal of experimental & clinical cancer research : CR · 2023Article
- Characterizing the landscape of cervical squamous cell carcinoma immune microenvironment by integrating the single-cell transcriptomics and RNA-Seq.Immunity, inflammation and disease · 2022Article
- Applications of machine learning in tumor-associated macrophages.Frontiers in immunology · 2022Review
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCervical squamous cell carcinoma (CSCC), caused by the infection of high-risk human papillomavirus, is one of the most common malignancies in women worldwide.
methodsRNA expression data, including those from the Cancer Genome Atlas, Gene Expression Omnibus, and Genotype-Tissue Expression databases, were used to identify the expression of RNAs in normal and tumor tissue. Correlation analysis was performed to identify the immune-related long noncoding RNAs (IRLs) and hypoxia-related genes (IRHs) that can influence the activity of the immune system. Prognosis models of immune-related RNAs (IRRs) were used to construct a coexpression network of the immune system. We identified the role of IRRs in immunotherapy by correlation analysis with immune checkpoint genes (ICGs). We then validated the expression data by integrating two single-cell sequencing data sets of CSCC to identify the key immune features.
resultsIn total, six immune-related gene (IRG), four IRL, and five IRH signatures that can significantly influence the characteristics of the tumor immune microenvironment (TIME) were selected using machine learning methods. The expression level of ICGs was significantly upregulated in GZMB
conclusionsCD16
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