Fig. 4: Clustering-based analysis of histological habitat areas across treatment groups. | npj Precision Oncology

Fig. 4: Clustering-based analysis of histological habitat areas across treatment groups.

From: Minibeam radiation therapy remodels tumor microenvironment and suppresses HIF-1α/VEGFR axis to overcome radioresistance in triple-negative breast cancer

Fig. 4

A Silhouette analysis revealed the optimal number of tumor imaging phenotypes was three. B The mean parameter values for each of the identified habitats, value = mean ± SD, n = 8. C The representative parameter maps and a corresponding habitat map for an example tumor, where the HV-HC habitat was shown in red, LV-HC in green, and LV-LC in blue; scale bar, 2 mm. D–F One-way ANOVA of the percentage area occupied by HV-HC habitat, LV-HC habitat, and LV-LC habitat for all groups; value = mean ± SD; n = 8. Statistical significance for multiple comparisons was determined using one-way ANOVA (*P < 0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001). G Representative tumor histological habitats from the six groups on day 10.

Back to article page