ArticleAging2023
Clinical and therapeutical significances of the cluster and signature based on oxidative stress for osteosarcoma.
Article in Aging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 7 citations in OpenAlex.
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- Integration of single-cell and bulk transcriptomics reveals the association of manganese metabolism-related genes with prognosis and immune infiltration in lung adenocarcinoma.Clinical & translational immunology · 2026Article
- Construction of a Prognostic Model and Subgroup Characteristics Related to Hypoxia-Immune Evasion in T Cells of Hepatocellular Carcinoma Based on Single-Cell and Bulk RNA Analysis.Journal of hepatocellular carcinoma · 2026Article
- Prognostic value of brown adipocyte-related genes in colorectal cancer: a multi-omics and Mendelian randomization study.Discover oncology · 2025Article
- The construction of a prognostic nomogram model for colorectal cancer and the prediction of immune characteristics and immune treatment responses based on the bioinformatics analysis of soluble mediator-related genes.Human vaccines & immunotherapeutics · 2025Article
- Identification of biomarkers associated with mitophagy in bladder cancer.Scientific reports · 2025Article
- Decoding the Tumor Microenvironment of Myoepithelial Cells in Triple-Negative Breast Cancer Through Single-Cell and Transcriptomic Sequencing and Establishing a Prognostic Model Based on Key Myoepithelial Cell Genes.International journal of genomics · 2025Article
- CGREF1 modulates osteosarcoma proliferation by regulating the cell cycle through the Wnt/β-catenin signaling pathway.Molecular medicine (Cambridge, Mass.) · 2024Article
- Identifying epithelial-mesenchymal transition-related genes as prognostic biomarkers and therapeutic targets of hepatocellular carcinoma by integrated analysis of single-cell and bulk-RNA sequencing data.Translational cancer research · 2024Article
Corrections and comments
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Authors and funding
13 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIt is of great clinical significance to find out the ideal tumor biomarkers and therapeutic targets to improve the prognosis of patients with osteosarcoma (OS). Oxidative stress (OXS) can directly target intracellular macromolecules and exhibit dual effects of tumor promotion and suppression.
methodsOXS-related genes (OXRGs) were extracted from public databases, including TARGET and GEO. Univariate Cox regression analysis, Random Survival Forest algorithm, and LASSO regression were performed to identify prognostic genes and establish the OXS-signature. The efficacy of the OXS-signature was further evaluated by Kaplan-Meier curves and timeROC package. Evaluation of immunological characteristics was achieved based on ESTIMATE algorithm and ssGSEA. Submap algorithm was used to explore the response to anti-PD1 and anti-CTLA4 therapy for OS. Drug response prediction was conducted by using pRRophetic package. The expression values of related genes in the OXS-signature were detected with PCR assays.
resultsTwo OXS-clusters were identified for OS, with remarkable differences of clusters presented in prognosis. Kyoto Encyclopedia of Genes Genomes (KEGG) analysis showed that differentially expressed genes (DEGs) between the OXS-clusters were significantly enriched in several immune-related pathways. Patients with lower OS-scores attained better clinical outcomes, and presented more sensitivity to ICB therapy. By contrast, OS patients with higher OS-scores revealed more sensitivity to certain drugs. Furthermore, critical genes, RHBDL2 and CGREF1 from the model, were significantly higher expressed in OS cell lines.
conclusionsOur study identified the clusters and signature based on OXS, which would lay the foundation for molecular experimental research, disease prevention and treatment of OS.
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