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Predicting immunotherapy response with spatial data

Published

18 August 2026

Topic

opportunities

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Drug Discovery

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Read at drugdiscoverynews.com →

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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.

◆ ◆ 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.

◆ Coverage

1 source · 18 Aug 2026

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◆ Topics

Drug Discoveryimmunotherapyspatial-biomarkerscancerprecision-medicinecheckpoint-inhibition