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. 2022 Dec 20;13:1090324. doi: 10.3389/fendo.2022.1090324

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Copyright © 2022 Shi, Wang, Yang, Zhang, Zhang, Feng, Lv, Niu, Chen, Li and Zhang

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Identification of glycosylation-related differentially expressed genes (DEGs), functional modules, and molecular subtypes. (A) Volcano plot of 201 glycosylation-related DEGs in hepatocellular carcinoma (HCC). (B) The distribution of the scale-free topology model fit and the trends of mean connectivity. (C) The hierarchical clustering analysis presented similar characteristics with the same color by a dendrogram. (D) The correlation between the trait and each module in HCC and normal tissues. (E) Non-negative matrix factorization (NMF) survey analyzed the factorization rank, including cophenetic, dispersion, evar, residuals, rss, silhouette, and sparseness coefficients. (F) Heatmap of two clusters of HCC. Kaplan–Meier (K-M) curves of overall survival (OS) (G) and progression-free survival (PFS) (H) in two clusters of patients with HCC. (I) The association between clusters and immune C1, C2, C3, and C4.