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. 2022 Jun 25;13(6):568. doi: 10.1038/s41419-022-05004-3

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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. 1 — A Analysis of S100A11 protein expression in PDAC and paracancerous tissues through IHC-based TMA (inset: 20× magnified image). B, D Violin plots demonstrating the difference in S100A11 expression between PDAC and paired paracancerous samples in the TMA cohort and TCGA database, respectively. C, E Kaplan–Meier analyses of the association between S100A11 expression and OS of PDAC from the TMA cohort and TCGA database, respectively. F Correlation analysis between the S100A11 expression and clinicopathological characteristics using online TCGA case cohort. G, H Univariate and multivariate Cox regression analyses of the relationship between the expression of S100A11 and clinicopathological factors with TCGA database. T, pancreatic cancer tissues. NT, normal paracancerous tissues. *p < 0.05.