1031-Spatial Ecotypes of Tumour Microenvironments
Researchers have developed a multimodal machine-learning framework consisting of Spatial EcoTyper and Liquid EcoTyper to identify and profile spatial ecotypes (SEs), which are organized multicellular units within the tumour microenvironment (TME). By analyzing over 10 million cells across various human cancers, the study identified nine conserved SEs with distinct geospatial features and significant clinical outcome associations, including predictions for immunotherapy response. A major breakthrough of this work is the ability to recover these spatial signatures from plasma cell-free DNA…
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