ArticleJournal of cellular and molecular medicine2026
Single-Cell RNA Sequencing Analysis Reveals Correlation Between Immune Cell Composition and Gene Expression in Cervical Cancer.
Article in Journal of cellular and molecular medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- TAMs in the Gynecological Tumor Microenvironment: Insights from Cross-Cancer Studies for Immunotherapy.Cancers · 2026Review
- Single-Cell RNA Sequencing Analysis Reveals Correlation Between Immune Cell Composition and Gene Expression in Cervical Cancer.Journal of cellular and molecular medicine · 2026Article
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.
Funding
Abstract
Cervical cancer has become a glaring concern for women's health globally. The use of single-cell RNA sequencing (scRNA-seq) contributes to a comprehensive understanding of cellular heterogeneity and the immune cell landscape in the TME of cervical cancer. This study is to investigate the distribution pattern of immune cell subsets and their correlation with some gene expression based on single-cell RNA sequencing (scRNA-seq) data in patients with cervical cancer. We collected cervical cancer single-cell RNA sequencing data and explored the quality of the data using the violin plots, scatter plots, variance plots and elbow plots, as well as a search for highly variable genes. We clustered cells with UMAP and t-SNE clustering analyses and then labelled cell populations via flow cytometry and immunohistochemistry. We also analysed the biological functions of critical genes using GO enrichment analysis, and the expression patterns of individual genes at the single-cell level. Lastly, we calculated the shift of immune cell proportion and explored the relationship between key genes like TNFRSF18 and immune cell subgroups. We identified 12 unique cell populations in cervical cancer samples and stained positive for epithelial cells, T cells and macrophages. Functional enrichment analysis revealed the gene expression pattern associated with multiple biological processes and molecular interactions in the tumour microenvironment. Certain genes, such as 16 FOXP3 and CD8A, displayed different expression patterns across the immune cell subsets. Additionally, the expression of TNFRSF18 was directly related to the proportions of most of the immune cells and inversely related to a few T and B lymphocyte subsets. This study offers a comprehensive landscape of immune cell proportions within the cervical cancer TME and uncovers a complexity in the relationships between gene expression and tumour-infiltrating immune cell subsets. These results will provide valuable clues for the study of the immune microenvironment in cervical cancer and will shed some light into novel therapeutic approaches.
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What Socratic holds
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 Socratic graph.