Proximity and metabolic activity proxies in the tumor microenvironment as predictors of survival in high grade serous ovarian cancer
- Author(s)
- Berrell, N; Kilgallon, A; Donovan, ML; Lawler, C; Tan, CW; Embaye, KS; Tubelleza, R; Monkman, J; Fraser, JF; O'Byrne, K; Huang, R; Kulasinghe, A;
- Details
- Publication Year 2025-10-17,Volume 28,Issue #10,Page 113572
- Journal Title
- iScience
- Abstract
- High grade serous ovarian cancer (HGSOC) is a lethal gynecological malignancy, often detected at the late stages of disease. There is a need to identify predictors of therapeutic response in the tumor microenvironment (TME). Here, we used spatial proteomics to characterize the TME of 51 patients with HGSOC and identify features that contribute to patient survival. Using a 48-plex immunofluorescent protein panel, we analyzed tumor and immune cell interactions. We identified that more CD66(+) cells in a 50 μm radius of tumor cells and more cytotoxic CD8 T-Cells within a 10 μm radius of the tumor boundary were associated with improved overall survival. The proximity of Tregs to some metabolically active tumor cells was favourable, while their proximity to less metabolically active tumors was less favourable. Our data suggest that a comprehensive functional and metabolic understanding of the TME is needed to quantify the therapeutic benefits in HGSOC.
- Publisher
- Elsevier
- Keywords
- Cancer; Immune response; Microenvironment; Omics
- Research Division(s)
- Bioinformatics and Computational Biology
- PubMed ID
- 41079624
- Publisher's Version
- https://doi.org/10.1016/j.isci.2025.113572
- Open Access at Publisher's Site
https://doi.org/10.1016/j.isci.2025.113572- Terms of Use/Rights Notice
- Refer to copyright notice on published article.
Creation Date: 2025-10-20 01:57:42
Last Modified: 2025-10-20 01:57:58