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. 2022 Apr 25;20:186. doi: 10.1186/s12967-022-03393-9

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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. 5 — Identification of two hub genes and prediction of their relationship with immune cell content and experimental validation of their expression in the DLBCL TMA cohort. A Venn diagram analysis showed that the overlap of WGCNA analysis and LASSO model led to two hub genes being identified: PLTP and PHKA1. B Prediction of correlations between hub genes and immune cell content. C Prediction of correlations between hub genes and immune checkpoints. D Differences in PLTP expression between reactive hyperplasia tissues and DLBCL tissues with mIHC (p value by Wilcoxon rank-sum test). E Differences in PHKA1 expression between reactive hyperplasia tissues and DLBCL tissues with mIHC (p value by Wilcoxon rank-sum test)