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Dataset Information

Integrated multi-omics analysis of single-cell and spatial transcriptomics reveals distinct hpv-associated immune microenvironment features and prognostic signatures in cervical cancer.


ABSTRACT:

Background

Cervical cancer (CC) is a highly heterogeneous malignancy primarily driven by persistent infection with high-risk human papillomavirus (HPV). However, comprehensive analyses of heterogeneity in the immune microenvironment, particularly its spatial heterogeneity, between HPV-positive and HPV-negative CC remain limited, despite their critical clinical significance.

Methods

We performed single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST) sequencing on collected cervical cancer samples, integrating scRNA-seq, ST, and bulk RNA-seq to analyze distinct cell subtypes and characterize their spatial distribution. Multiplex immunofluorescence analysis was further utilized to validate HPV status-specific expression patterns. Cox regression and LASSO regres

SUBMITTER: Su Q 

PROVIDER: S-EPMC12481161 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature