Clinical Research Directory
Browse clinical research sites, groups, and studies.
Spatial Multi-Omics of Perineural Invasion Microenvironment and Prognosis in Prostate Cancer
Sponsor: Anhui Medical University
Summary
Prostate cancer is a common malignancy in men, with substantial prognostic heterogeneity that calls for improved risk stratification at the tissue microenvironment level. Perineural invasion (PNI) is a frequent pathological feature in prostate cancer, associated with local aggressiveness and postoperative recurrence; however, its microenvironmental characteristics and prognostic value remain incompletely characterized. This study plans to enroll approximately 120 prostate cancer patients, collecting tissue specimens and clinicopathological data. We will integrate HE/WSI pathological images, Xenium spatial transcriptomics, PhenoCycler-Fusion spatial proteomics, whole-exome sequencing, and single-cell transcriptomics to systematically compare PNI-positive regions, PNI-negative tumor regions, and adjacent-normal regions in terms of cellular composition, spatial proximity relationships, molecular pathway activities, and genomic alterations. The objectives are to screen candidate molecular markers associated with PNI burden, local invasion, 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 further mechanistic studies in prostate cancer.
Official title: Study on Spatial Multi-Omics Deciphering of the Perineural Invasion Microenvironment and Its Prognostic Value in Prostate Cancer
Key Details
Gender
MALE
Age Range
18 Years - 85 Years
Study Type
OBSERVATIONAL
Enrollment
120
Start Date
2026-10-01
Completion Date
2027-10-31
Last Updated
2026-09-14
Healthy Volunteers
No
Conditions
Interventions
Multi-omics profiling
HE/WSI pathological image analysis Xenium spatial transcriptomics PhenoCycler-Fusion spatial proteomics Whole-exome sequencing (WES) Single-cell transcriptome sequencing
Locations (1)
Universitythe First Affiliatedhospital of Anhuimedical
Hefei, Anhui, China