Multi-scale spatial modeling of immune cell distributions enables survival prediction in primary central nervous system lymphoma.

ABSTRACT: To understand the clinical significance of the tumor microenvironment (TME), it is essential to study the interactions between malignant and non-malignant cells in clinical specimens. Here, we established a computational framework for a multiplex imaging system to comprehensively characterize spatial contexts of the TME at multiple scales, including close and long-distance spatial interactions between cell type pairs. We applied this framework to a total of 1,393 multiplex imaging data newly generated from 88 primary central nervous system lymphomas with complete follow-up data and identified significant prognostic subgroups mainly shaped by the spatial context. A supervised analysis confirmed a significant contribution of spatial context in predicting patient survival. In particular, we f

SUBMITTER: Roemer MGM 

PROVIDER: S-EPMC10393746 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature