| Autor: |
Margaretha G.M. Roemer, Tim van de Brug, Erik Bosch, Daniella Berry, Nathalie Hijmering, Phylicia Stathi, Karin Weijers, Jeannette Doorduijn, Jacoline Bromberg, Mark van de Wiel, Bauke Ylstra, Daphne de Jong, Yongsoo Kim |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
|
| Zdroj: |
iScience, Vol 26, Iss 8, Pp 107331- (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2589-0042 |
| DOI: |
10.1016/j.isci.2023.107331 |
| Popis: |
Summary: 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 found an opposite prognostic value of macrophage infiltration depending on its proximity to specific cell types. Altogether, we provide a comprehensive framework to analyze spatial cellular interaction that can be broadly applied to other technologies and tumor contexts. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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