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. 2023 Sep 14;14:173. doi: 10.1007/s12672-023-00772-6

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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/.

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Fig. 4 — GSEA of theThyC dataset. (A) There were four main biological features in the GSEA of the TCGA-ThyC dataset. B–E TCGA-ThyC dataset contains significant DEGs in focal adhesion-related PI3K/Akt/mTOR signaling pathways (B) canonical and no-canonical TGF-β signaling (C), WNT ligand biogenesis and trafficking (D) IL-18 signaling pathway (E) and other pathways. (F) GSEA analysis of the GSE3678 dataset included four main biological characteristics. G–J DEGs were significantly enriched in MET-activated PTK2 signaling (G) non-integrin membrane-ECM interactions (H) ECM degradation (I) and MET-mediated cell motility (J) The significant enrichment screening criteria of GSEA enrichment analysis included P < 0.05 and FDR < 0.25