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. 2019 May 22;9:7715. doi: 10.1038/s41598-019-44156-9

Figure 2.

Figure 2

(A) Unsupervised hierarchical clustering of intratumoral collagen parameters using Ward algorithms and Euclidian distance; the lowest values for intratumoral collagen parameters refer to mucinous (MUC), papillary (PAP) and medullary (MED) breast carcinomas (light blue); the highest values refer to classical invasive lobular (cILC) and tubular carcinomas (TUB) (light yellow); the intermediary values refer to invasive ductal carcinoma of no special type (IBC-NST), micropapillary (mPAP), metaplastic (METAP) and invasive apocrine (APO) (light orange), being the latter group very heterogeneous. QIR: bSHG collagen quantity; QIT: fSHG collagen quantity; EIR: bSHG collagen uniformity; EIT: fSHG collagen uniformity; OIR: bSHG collagen organization; and OIT: fSHG collagen organization. (B) Minimal Spanning Tree (MST) of the Euclidian matrix with three defined intratumoral collagen parameters. The MSP gives a spatial representation of what is shown in the heatplot. Cases presenting similar collagen parameters are linked by a line. As result, cases belonging to the same group (blue, yellow and orange) are concentrated in three branches of the tree: blue in the superior part, yellow in the middle and right region and orange in the left branch.