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. 2023 Sep 30;14(9):644. doi: 10.1038/s41419-023-06165-5

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© The Author(s) 2023

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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Fig. 2 — A Correlation analysis based on the whole proteome. Ven diagrams showing the distribution of identified proteins among (B) normal tissue and the different lesions and (C) with the addition of HGSC data. Principal component analysis using (D) normal tissue and the pre-neoplastic lesions and (D’) with addition to HGSC. E Hierarchical clustering of the most variable proteins (ANOVA with permutation-based FDR < 0.05) including HGSC data.