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Novel Predictive Spatial Biomarker in Non-Small Cell Lung Carcinoma: The Diversity of Niches Unlocking Treatment Sensitivity (DONUTS)

2025-08-15

Abstract excerpt

<h4>SUMMARY</h4> Probabilistic spatial modelling techniques developed on large-scale tumor-immune Atlases (∼35M individually mapped cells; 50,000 high power fields) were used to characterize predictive features of treatment-responsive lung cancer. We identified CD8+FoxP3+ cell density as a robust pre-treatment biomarker for outcomes across disease stages and therapy types. In parallel, single-cell RNAseq studies...

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Literature Corpus work
ce74a592-5229-5997-9621-8a80710bbdc5
DOI
10.1101/2025.08.13.665980
Open publication

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Novel Predictive Spatial Biomarker in Non-Small Cell Lung Carcinoma: The Diversity of Niches Unlocking Treatment Sensitivity (DONUTS)DOI 10.1101/2025.08.13.665980
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