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. 2023 Jun 13;9(2):108–125. doi: 10.1136/svn-2022-002246

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© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.

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The selected genes were used for gene–gene and protein–protein interactions. (A) A total of 3 advanced screenings of the 83 genes for gene–gene interactions used the Bisogenet network. (B) Venn diagram was made using four atherosclerosis-related databases in GEO interact with the 83 gene samples. (C) The 64 genes screened using GEO were combined with STRING and Cytoscape. (D) Protein–protein interactions and links of significant intersections were showed by Metascape. (E) Protein–protein interactions of 83 genes was analyzed using STRING. (F) Interaction and functional expression of PABPC1, EEF1A1 and HDAC2 genes was analyzed using ConsensusPathDB. (G) An independent biological interaction network centred on PABPC1 was showed by BioGRID, with cancer-related genes circled in red.