Proximity and metabolic activity proxies in the tumor microenvironment as predictors of survival in high grade serous ovarian cancer

Berrell, N., Kilgallon, A., Donovan, M. L., Lawler, C., Tan, C. W., Embaye, K. S., Tubelleza, R., Monkman, J., Fraser, J. F., O’Byrne, K., Huang, R., Kulasinghe, A. iScience DOI: 10.1016/j.isci.2025.113572

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.

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PRISM: a Python package for interactive and integrated analysis of multiplexed tissue microarrays