← BioTransfer GEO Dataset Finder
GEO series

Profiling of immune cell subsets and functional characteristics of cervical cancer based on single cell RNA sequencing

GSE308792 Homo sapiens Expression profiling by high throughput sequencing 6 samples Submitted 2025/11/14 Platform GPL24676
Summary
A comprehensive characterization of immune cells within the tumor microenvironment (TME) of cervical squamous cell carcinoma (CSCC) is essential to advance understanding of tumor biology and guide immunotherapy development. Using single-cell RNA sequencing, we analyzed 14,441 immune cells isolated from tumor tissues and paratumor tissues of three CSCC patients. This analysis identified nine major immune cell subsets, including CD8+ T cells, regulatory T cells (Tregs), natural killer/T cells (NK/T cells), B cells, plasmacytoid dendritic cells (pDCs), and macrophages. Notably, elevated CCR7 expression in exhausted CD8+ T cells was associated with improved prognosis, suggesting it as a preliminary candidate for an immunoregulatory target that warrants further investigation. Additionally, CCL5 levels were elevated in Tregs, indicating a possible involvement in their recruitment to the tumor site that requires further validation. By integrating data on tumor suppressors, oncogenic factors, cytokines, and chemokines, we performed differential gene expression analyses across immune populations, identifying candidate genes for further mechanistic investigation. This systematic comparison of the TME between tumor and paratumor tissues reveals dynamic changes in the immune landscape, providing insights and suggesting potential targets for further study to enhance understanding and treatment of CSCC.
Published in
Profiling of immune cell subsets and functional characteristics of cervical cancer based on single cell RNA sequencing
Yuan Y, Sun D, Yang M et al. · Frontiers in immunology 2025 · PMID 41080587 · doi:10.3389/fimmu.2025.1658705
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE308792_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 6 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1332726 and SRA study SRP625244. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 6 more — browse all 6 samples with per-sample file links →

Similar datasets

Search all human RNA-seq datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.