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pmid:35102149
Five hypoxia and immunity related genes as potential biomarkers for the prognosis of osteosarcoma.
Dachang Liu · Ziwei Hu · Jie Jiang · Junlei Zhang · Chunlong Hu · Jian Huang · Qingjun Wei
Scientific reports · 2022 doi:10.1038/s41598-022-05103-3
Paper
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Experiment
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Data
partial
Analysis
complete
Execution
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Complete file
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Hypoxia and tumor-infiltrating immune cells might be closely related to the prognosis of osteosarcoma. In this study, we aimed to determine the biomarkers and therapeutic targets related to hypoxia and immunity through bioinformatics methods to improve the clinical prognosis of patients. We downloaded the gene expression data of osteosarcoma samples and normal samples in the UCSC Xena database and GTEx database, respectively, and downloaded the validation dataset (GSE21257) in the GEO database. Subsequently, we performed GO enrichment analysis and KEGG pathway enrichment analysis on the data of the extracted osteosarcoma hypoxia-related genes. Through univariate COX regression analysis, lasso regression analysis, multivariate COX regression analysis, etc., we established a predictive model for the prognosis of osteosarcoma. Five genes, including ST3GAL4, TRIM8, STC2, TRPS1, and FAM207A, were found by screening. 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