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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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Construction and estimation of the glycosylation-related signature. (A) LASSO coefficient distribution of the glycosylation-related signature. (B) The optimal parameter (λ) selection by the cross-validation curve. The distribution and survival status of the risk score in the training cohort (C), testing cohort (D), and total cohort (E). Heatmap of five-gene expression between low- and high-risk groups in the training cohort (F), testing cohort (G), and total cohort (H). The PCA and t-SNE analysis in the training cohort (I), testing cohort (J), and total cohort (K). (L–N) The K-M survival analysis between low- and high-risk groups in the training cohort (L), testing cohort (M), and total cohort (N). The AUC values of ROC curves for 1, 3, and 5 years in the model in the training cohort (O), testing cohort (P), and total cohort (Q).