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. 2019 Nov 28;9:17754. doi: 10.1038/s41598-019-54435-0

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© The Author(s) 2019

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Model describing the emergence of divergent subtypes of SCC. (a) Illustration of the proposed state of samples according to the distribution in PC1-PC2 dimensions. Normal: skin. (b) Immune cell infiltration scores and (c) Average lesion thickness re-grouped according to quadrant locations. (c) Kruskal-Wallis test (P = 0.0007) followed by Dunn’s multiple comparisons test. (d) Upper-left, (e) upper-right and (f) lower-right scores (logit; log-odds) for logistic regression analysis for samples in each diagnosis category. One-way ANOVA with Tukey’s multiple correction was performed where **P < 0.01; ****P < 0.0001. (g) X-Y plot of upper-right scores versus upper-left scores for AK showing negative correlation for samples scoring highly in either signature.