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. 2022 Jul 6;20:303. doi: 10.1186/s12967-022-03503-7

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© The Author(s) 2022

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. 8 — Correlation between eIF6 expression and immune-related genes in human ESCA. A A heatmap showing the spearman’s rank correlation between eIF6 expression level and immunostimulators, MHC genes, chemokines, and immunoinhibitors B based on the TISIDB database. Positive and negative correlation are indicated by red and blue, respectively. C Western blot analysis for CD45, CD11b, and PD-L1 in Eca109 cells with eIF6 knockdown. D Scatter plots showing the correlation between immune cells infiltrations and the eIF6 expression using GEPIA2 database. *p < 0.05, **p < 0.01