Clinical Research Directory
Browse clinical research sites, groups, and studies.
A Prospective Study Based on Spatial Multi-omics to Predict the Efficacy of ADT Combined With Second-generation Novel Hormonal Agents in Metastatic Hormone-sensitive Prostate Cancer.
Sponsor: Anhui Medical University
Summary
This study plans to enroll patients with newly diagnosed metastatic hormone-sensitive prostate cancer (mHSPC) and conduct a prospective, single-center, observational study. By performing whole-exome sequencing (WES), Xenium spatial transcriptomics, and PhenoCycler-Fusion spatial single-cell proteomics (PCF analysis) on tumor tissue samples, we aim to comprehensively delineate the molecular landscape of patients with different spatial multi-omic profiles in the real-world setting. We will investigate the associations between these molecular features and differential treatment responses to various therapeutic regimens, and further construct predictive models of treatment response. Ultimately, this will enable precise evaluation of treatment outcomes across distinct molecular subtypes and provide evidence to support individualized precision diagnostics and therapeutics for patients with mHSPC.
Official title: A Prospective Study Based on Spatial Multi-Omics for Predicting the Efficacy of Androgen Deprivation Therapy Combined With Second-Generation Novel Endocrine Therapeutic Agents in Metastatic Hormone-Sensitive Prostate Cancer.
Key Details
Gender
MALE
Age Range
18 Years - 85 Years
Study Type
INTERVENTIONAL
Enrollment
40
Start Date
2026-10-01
Completion Date
2028-06-30
Last Updated
2026-08-31
Healthy Volunteers
No
Interventions
ADT plus abiraterone or other ARPIs（apalutamide, enzalutamide, rezvilutamide, darolutamide)
The spatial heterogeneity of the tumor microenvironment in mHSPC-encompassing immune cell infiltration patterns, tumor-stroma interface features, and the regional activation status of critical signaling pathways-is intimately linked to clinical outcomes with ADT plus ARPI therapy. Through comprehensive spatial multi-omic profiling, these spatial attributes can be systematically dissected to uncover pivotal predictive biomarkers, facilitate the development of accurate response prediction models, and ultimately guide personalized therapeutic strategies for patients with mHSPC
Locations (1)
Universitythe First Affiliatedhospital of Anhuimedical
Hefei, Anhui, China