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. 2022 Jul 18;13:4167. doi: 10.1038/s41467-022-31719-0

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© The Author(s) 2022

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 The workflow for differential analysis between pan-SCCs and pan-ACs. A total of 5838 proteins commonly expressing in SCCs and/or ACs was obtained and differentially expressed proteins were calculated (Wilcoxon rank-sum test), and Gene set enrichment analysis (GSEA) was performed. b, c A volcano plot and a heatmap showed the results of a two-sided Wilcoxon rank-sum test (BH-adjusted p < 0.05, fold change > 2) comparing pan-ACs and pan-SCCs. Significantly differentially expressed proteins were labeled in the volcano plot. d GSEA revealed the pathways that were significantly enriched in pan-ACs and pan-SCCs. NES, normalized enrichment score. e The prognostic value of differentially expressed proteins in pan-AC-enriched pathways (extracellular matrix and glucose metabolism) and pan-SCC enriched pathway (keratinization) by exploring pan-SCC cohort (this study) and 9 TCGA datasets. P values of pan-SCC cohort were from multivariate Cox proportional hazard model (including age, gender, TNM stage, protein expression, organ, and histology), and p values for 9 TCGA datasets were from log-rank test. f The regulation network of kinases, TFs, and DEPs in pan-ACs and pan-SCCs. All kinases, TFs, and DEPs were colored by log2 (SCC/AC).