Prognostic impact of spatial niches in prostate cancer.

ABSTRACT: The formation of intratumoral spatial niches has been reported for many human malignancies. However, the translational potential of such spatial niches is understudied. Herein, we utilize digital spatial profiling (DSP) to explore the prognostic relevance of spatially defined protein expression in high-risk prostate cancer. A total of 49 patient samples were analyzed for the expression of 46 proteins in 463 regions of interest (ROIs) from the tumor center (n = 198) and the tumor periphery (n = 265) resulting in 21,298 primary data points (mean per patient n = 9.4). Expression data from either the tumor center or the tumor periphery were not found to be prognostic. Protein expression of tumor center and periphery was then integrated into single datapoints by calculating the log₂-

SUBMITTER: Schneider F 

PROVIDER: S-EPMC12820118 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature