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This is a Experimental Study study.

September 30, 2025Frontiers in ImmunologyOpen Access

A flexible systems analysis pipeline for elucidating spatial relationships in the tumor microenvironment linked with cellular phenotypes and patient-level features

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Computational pipeline identifies spatial relationships linking cell phenotypes and tumor microenvironment in cancer patients.

Neighborhood features were identified that are linked to lymphocyte activation states in NSCLC.
Spatial features effectively predicted tumor grade, showcasing the importance of tumor microenvironment organization.
Using multiplexed imaging, the analysis reveals how immune cell composition distinguishes between cancer subtypes.
The findings support the development of strategies informed by spatial relationships in cancer biology.

Hanson et al. (2025) studied this question.

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