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Predicting immunotherapy response with spatial data
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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.
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1 source · 18 Aug 2026
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