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. 2023 Jul 5;23:628. doi: 10.1186/s12885-023-11107-7

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© The Author(s) 2023

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 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. 2 — Analysis of differentially expressed genes (DEGs)

A Gene ontology (GO) analysis of DEGs.

B Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis of DEGs.

C, D Gene set enrichment analysis (GSEA) of liver hepatocellular carcinoma (LIHC)-related genes

E The protein–protein interaction (PPI) network of DEGs was generated using network analyst

F The top 20 hub genes associated with LIHC