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Tumor-immune partitioning and clustering algorithm for identifying tumor-immune cell spatial interaction signatures within the tumor microenvironment

Fig 7

Validation of TIPC spatial subtypes which were first determined in NHS/ HPFS cohort and later recapitulated in TCGA cohort, using eosinophils identified morphologically in H&E images.

(a) Among the five major TIPC subtypes determined in NHS/ HPFS cohort, three comprised of >30 tumors (i.e., CTR, HD, HCTR). (b) Kaplan-Meier estimates associated with these TIPC subtypes of eosinophils harbored significant association with overall survival (OS); (c) forest plot summarizes Cox regression analysis of tumor subtypes determined using cell density or nearest neighbor distance (NND) (see S19 Fig for the associations with disease-specific survival and progression-free intervals). Symbols *** p < 0.001, ** p < 0.01, * p < 0.05, not significant (ns) p > 0.05. Abbreviations, CTR = cold, tumor-rich, HD = hot and disperse, HCTR = hot and clustered, tumor-rich.

Fig 7

doi: https://doi.org/10.1371/journal.pcbi.1012707.g007