Fig. 5From: Development of a machine learning-based radiomics signature for estimating breast cancer TME phenotypes and predicting anti-PD-1/PD-L1 immunotherapy responseActivation of immune modulators in breast cancer. A Expression of immune checkpoint-related genes (CD274, CTLA4, IDO1, SIGLEC-9, PDCD1, PDCD1LG2, LAG3, and HAVCR2) in the Cluster A and B. B Enrichment plots showing that Axoneme, axoneme assembly, and cilium movement pathways are significantly upregulated in Cluster A. * ****, p < 0.0001Back to article page