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. 2022 Oct 5;13:997765. doi: 10.3389/fimmu.2022.997765

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Copyright © 2022 Lv, Wu, Jian, Zhang, Lou, Kang, Hou, Li, Li, Sun and Zhou

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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Prognostic gene screening and consensus clustering. (A)Univariate Cox regression of ASIGs for the screening of prognosis-related genes. (B) Construction of a PPI network of 64 prognosis-related genes using STRING. (C) Differential expression analysis of osteosarcoma samples and adjacent samples in GSE99671 (p-value< 0.05 and log2FC > 0.25). (D) Heatmap of 22 prognosis-related differences in ASIGs in GSE99671. (E) Coexpression network of 22 prognosis-related genes in TARGET-OS (p-value< 0.05 and correlation > 0.3). (F) Heatmap of the consensus matrices for k = 3. (G, H) Consensus cumulative distribution function (CDF) plot for 22 ASIGs in TARGET-OS. (I) Kaplan–Meier curves based on three clusters in the TARGET-OS. (J) Principal component analysis (PCA) of the three subgroups. (K, L) Heatmap and box plot of 22 prognosisrelated ASIGs in the three subgroups (*p< 0.05, **p< 0.01, ***p< 0.001, ****p< 0.0001).