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Fig. 3 | Breast Cancer Research

Fig. 3

From: Development of a machine learning-based radiomics signature for estimating breast cancer TME phenotypes and predicting anti-PD-1/PD-L1 immunotherapy response

Fig. 3

Landscape of TME phenotypes in breast cancer. A K-means clustering of breast cancer TME phenotypes demonstrating abundance of 24 TME cell subpopulations measured by ssGSEA. B Optimal number of clusters determined by Silhouette analysis. C Distribution of characteristic scores of four cell subpopulations in two clusters. D MCP-counter assessment of the cellular infiltration level in both phenotypes. E Estimated assessment of tumor purity. F Distribution of intrinsic subtypes of breast cancer in the clusters. G Cellular characteristics of Cluster A and B. * ****, p < 0.0001; TNBC, triple-negative breast cancer, M1 and M2, type 1 and type 2 macrophages

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Breast Cancer Research

ISSN: 1465-542X

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