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. 2023 Sep 23;15:153. doi: 10.1186/s13148-023-01568-9

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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. 4 — Screening of m6A regulators associated with VGF. A Forest map illustrates the survival analysis of m6A methylases and demethylases in LUAD. B The scale-free topology fitting index R² reaches 0.9. C A hierarchical clustering tree is shown in LUAD. D Interaction relationship analysis of co-expressed genes. E The network heatmap visualized the interactions between the 24 modules. F Correlation between the gene module and m6A-related genes in LUAD. G The light-yellow module was significantly positively correlated with the module genes. H Volcano plot of differential gene expression in METTL3-knockdown A549 cells compared to control cells. I Venn diagrams were used to screen the VGF gene. J Integrative Genomics Viewer (IGV) tracks displaying MeRIP-seq read distributions in VGF. K mRNA density coverage