Spatial Multi-Omics of Perineural Invasion Microenvironment and Prognosis in Prostate Cancer

This study will utilize tissue specimens and clinical follow-up data from prostate cancer patients, integrating HE/WSI pathological images, spatial transcriptomics, spatial proteomics, whole-exome sequencing (WES), and single-cell transcriptomics to systematically characterize the cellular composition, spatial proximity relationships, molecular expression profiles, and genomic alterations within the perineural invasion (PNI) microenvironment of prostate cancer. Specifically, this study aims to delineate the spatial multi-omics differences among PNI-positive regions, PNI-negative tumor regions, and adjacent-normal regions; to screen for candidate molecular markers associated with PNI burden, local tumor aggressiveness, and poor postoperative outcomes; and to explore the establishment of a PNI classification and prognostic risk assessment model based on spatial multi-omics features, thereby providing a foundation for individualized risk stratification and future mechanistic investigations in prostate cancer.