Wire · opportunities
Predicting immunotherapy response with spatial data
◆ Sectors
◆ Source
◆ Verified
Fusion42 · 19 August 2026 · Fusion42 review
Recent studies demonstrate that spatial proximity metrics of immune and tumor cells significantly outperform traditional PD-L1 expression testing in predicting immunotherapy response across multiple cancer types, suggesting multi-marker spatial models provide improved predictive power for clinical use.
This Wire brief sits within Fusion42's coverage of Drug Discovery. Wire is Fusion42's founder-focused intelligence feed: each story is connected to the funds and startups it names — every one with a live profile on Raise or Scout — so founders can follow the capital and the momentum behind the headline rather than just the headline itself. Wire analysis is one of the live surfaces Arthur reasons over.
◆ ◆ The Wire takeaway
You can now target immunotherapy response better by using spatial cell proximity metrics rather than relying solely on PD-L1 expression. This opens a path to building more precise diagnostic tools and could reshape patient selection and trial design in oncology.
◆ Related on Wire
◆ Topics