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Predicting immunotherapy response with spatial data

Published

18 August 2026

Topic

opportunities

Sectors

Drug Discovery

Source

Read at drugdiscoverynews.com

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.

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Topics

Drug Discoveryimmunotherapyspatial-biomarkerscancerprecision-medicinecheckpoint-inhibition