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Fig. 5 | Journal of Translational Medicine

Fig. 5

From: DeepRisk network: an AI-based tool for digital pathology signature and treatment responsiveness of gastric cancer using whole-slide images

Fig. 5

High-DPS associated with suppressive tumor immune microenvironment at the invasive margin. A Separability of high- and low-risk area on feature space. B–D Identification of DPS high-risk and low-risk areas on heatmap. E The cell fractions of lymphocytes and tumor cells between low- and high-DPS groups. F mIHC panels showing spatial distribution patterns of TIICs on high- and low-DPS specimens. G Correlation matrix followed by unsupervised hierarchical clustering of 54 immune features in high- and low-DPS groups. H Differences in the density of immune cell types at the invasive margin between high-and low-DPS groups. I mIHC expression pattern of CD11b+CD11c+ immune cells and B cells at the invasive margin. J Spatial density of immune cells (memory T cells, B cells and Macs) within a 50 μm radius of CD11b+CD11c+ immune cells at the invasive margin. Macs, macrophages. TIIC, tumor-infiltrating immune cells. *p < 0.05, **p < 0.01, ****p < 0.0001. Data are represented as mean ± SEM. **p < 0.01, ****p < 0.0001. P, peritumor tissues; IM, invasive margin; T, tumor core

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