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. 2020 Jan 27;10:1212. doi: 10.1038/s41598-020-58290-2

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© The Author(s) 2020

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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Pathway enrichment analyses: (A) KEGG pathways enrichment results of the most significantly altered pathways in tumours belonging to each of the inferred pancreatic cancer subtypes. Refer to Supplementary File 1 for the complete list of KEGG pathways enriched based on the proteomics data. (B) mTOR signalling pathways found to be uniquely altered in subtype-1 tumours. Blue nodes indicate proteins with expression levels that were either not significantly altered between the subtypes or were not measured by the TCGA. Red coloured nodes represent proteins with significantly altered expression levels with the degree of statistical significance being expressed as the negative logarithm of Benjamin-Hochberg adjusted p-values. The connectivity of network components was extracted from the KEA, ChEA, and UCSC super pathway databases. (C) KEGG cancer pathways found to be consistently altered in tumours belonging to both pancreatic cancer subtypes. (D) Clustergram of tumours using only the proteins that are members of the KEGG cancer pathways ontology.