Integrative bulk and single-cell transcriptome analyses reveals migrasomes-related prognostic genes in cervical cancer with experimental validation

Migrasomes are newly identified organelles involved in cell migration and intercellular communication, but their clinical relevance in cervical cancer (CC) remains unclear. This study evaluated the prognostic value of migrasome-related genes and their association with the tumor immune microenvironment. Bulk RNA-sequencing data were analyzed using univariate Cox regression and machine-learning algorithms to identify prognostic genes and construct a risk model. A nomogram integrating independent clinical variables was developed for survival prediction. Immune infiltration differences between risk groups were assessed, and single-cell RNA sequencing (scRNA-seq) data were used to define major cell populations and gene expression patterns. RT-qPCR was performed for validation. Four genes (AQP1, CCDC80, PXDN, and UBAC1) were identified as prognostic markers. The risk model showed stable predictive performance (AUC > 0.6), and the combined nomogram demonstrated favorable clinical utility. Significant differences in immune infiltration were observed between high- and low-risk groups, including activated mast cells. scRNA-seq analysis identified T cells as the predominant immune population, with relatively stable expression of the four genes across differentiation states. RT-qPCR confirmed downregulation of AQP1, CCDC80, and PXDN and upregulation of UBAC1 in CC tissues. These results establish a migrasome-related prognostic signature associated with immune features in cervical cancer.