Fig 1.
The clustering of the DESI-MSI data of the breast cancer tissues revealed differing heterogeneity in the luminal subtype.
The cluster image and H&E images of nine breast cancer tissues are shown. The cluster image consists of 13 color clusters. The similarity of colors has nothing to do with the nature of the cluster. The lengths of the scale bars are as follows. A: 2500 μm, B: 2500 μm, C: 2500 μm, D: 1250 μm, E: 2500 μm, F: 500 μm, G: 2500 μm, H: 1250 μm, and I: 1250 μm.
Fig 2.
Examples of intra-tumor heterogeneity expressed by lipidomics-based clusters.
The cancerous areas are circled with a white dotted line. a: The cancerous area is classified by clusters 1 and 2. b: The cancerous area is classified by clusters 6 and 9. c: The cancerous area is classified by clusters 7 and 8. d: The cancerous area is classified by clusters 4 and 10.
Fig 3.
Representative findings of the HE-stained images corresponding to each lipid composition.
a. Cluster 1, which is mainly composed of PC, is consistent with a dense finding of cancer cells in the HE stained images. b. Cluster 4, which is a mixture of PC and TG, is consistent with an equal mix of cancer cells and stroma finding in the HE stained image. c. Cluster 5, which is predominantly TG, show a sparse presence of cancer cells in the stroma in the HE stained image.
Table 1.
Clusters showing pathological trends with the findings of H&E-stained images.
Table 2.
Lipid molecules representing each cluster.