Tumor-immune partitioning and clustering algorithm for identifying tumor-immune cell spatial interaction signatures within the tumor microenvironment
Fig 5
Prognostic and molecular associations TIPC subtypes identified using CD3+ T-cells in CRC.
(a) Forest plots show the hazard ratios and confidence intervals determined using univariate and multivariate Cox regression models; symbols *** p < 0.001, ** p < 0.01, * p < 0.05, not significant (ns) p > 0.05. (b) Performance evaluation on the effect of subregion sizes and cluster number (k) on spatial subtype identification and prognostic significance, based on univariate Cox PH regression model (see S17 Fig for full data). (c) Stacked bar plots show the enrichment of clinicopathological features within individual TIPC subtypes, where extended Cochran–Armitage test was used to test the association significance. Abbreviations: CSR = cold, stroma-rich, CTR = cold, tumor-rich, HTCC = hot, tumor-centric clustering, HD = hot and disperse, HSCC = hot, stroma-centric clustering, and HC = hot and clustered. TIPC subtypes shown in (a,c) were obtained using the optimal subregion size of 35µm and input number of clusters of 9 (see S2 Fig).