Spatially Sussing Out the TME, No Tissue Needed

Through machine learning, researchers have uncovered distinct spatial ecotypes in the tumor microenvironment that are broadly conserved across multiple cancers and may correlate with response to immune checkpoint blockade. These ecotypes are also identifiable through methylation profiling, suggesting another potential use for liquid biopsy-a way to noninvasively monitor the tumor microenvironment.

Publication Details

Journal
Cancer Discovery
Published
2026-05-19
DOI
https://doi.org/10.1158/2159-8290.cd-nw2026-0055
Primary Topic
Cancer Immunotherapy and Biomarkers
Type
article
Field-Weighted Citation Impact
0.00
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article

Spatially Sussing Out the TME, No Tissue Needed

Cancer Discovery
Cancer Immunotherapy and Biomarkers
article

Spatially Sussing Out the TME, No Tissue Needed

article en

Abstract

Through machine learning, researchers have uncovered distinct spatial ecotypes in the tumor microenvironment that are broadly conserved across multiple cancers and may correlate with response to immune checkpoint blockade. These ecotypes are also identifiable through methylation profiling, suggesting another potential use for liquid biopsy-a way to noninvasively monitor the tumor microenvironment.

Cancer Discovery
Zero hunger
Openalex Percentile: Top 6%
Cancer Immunotherapy and Biomarkers
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