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. 2022 Dec 12;10:974851. doi: 10.3389/fcell.2022.974851

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Copyright © 2022 Zhang, Lyu, Andreev, Jia, Zhang and Bozec.

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 hypoxia status and hypoxia-related differentially expressed genes (DEGs) in osteosarcoma. (A) Gene Set Enrichment Analysis (GSEA) of hypoxia between metastatic and non-metastatic osteosarcoma in the TARGET dataset. (B) Histogram of the density distribution of the hypoxia score for hypoxia-high and hypoxia-low groups divided by the optimal cutoff. Scatter plot of the standardized log-rank statistic value for each corresponding hypoxia score cutoff. (C) Kaplan-Meier (K-M) plot of overall survival for patients in hypoxia-high and hypoxia-low groups in the TARGET dataset. (D) Expression changes (hypoxia-high versus hypoxia-low) of target genes involved in HIF-1 KEGG pathway in the TARGET dataset. (E) Volcano plot showing the DEGs between hypoxia-high and hypoxia-low groups in the TARGET dataset. (F) Gene Ontology (GO) analysis of DEGs between hypoxia-high and hypoxia-low groups in the TARGET dataset.