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. 2021 Jun 3;14:145. doi: 10.1186/s12920-021-00991-2

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© The Author(s) 2021

Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 1 — Analysis pipeline of expression values from microarrays. The expression values of GSE100927 and GSE28829 were analysed according to the pipeline. The atheromatous plaques in GSE100927 and GSE28829 were divided into a cluster with low immune scores (ImmuneScoreL cluster) and a cluster with high immune scores (ImmuneScoreH cluster) according to the degree of immune infiltration. The distribution of clinically proven early-stage and advanced-stage carotid plaques in GSE28829 was statistically significant (p < 0.001), and the distribution of atheromatous plaques from different peripheral arteries in GSE100927 was statistically significant (p < 0.001)