Multi-omics analysis reveals cuproptosis and mitochondria-based signature for assessing prognosis and immune landscape in osteosarcoma

• DOI: 10.3389/fimmu.2023.1280945
• Publication Date: 2024-01-05T04:40:10Z
• Authors: Chenguang Jia; Mei Liu; Liming Yao; Fangchao Zhao; Shuren Liu; Zhuo Li; Yongtai Han
• Keywords: Gene signature; Univariate

Background Osteosarcoma (OSA), the most common primary mesenchymal bone tumor, is a health threat to children and adolescents with dismal prognosis. While cuproptosis mitochondria dysfunction have been demonstrated exert crucial role in tumor progression development, mechanisms by which they are regulated OSA still await clarification. Methods Two independent cohorts containing transcriptome data clinical information were collected from public databases. The heterogeneity of evaluated single cell RNA (scRNA) analysis. To identify newly molecular subtype, unsupervised consensus clustering was conducted. Cox relevant regression methods utilized establish prognostic gene signature. Wet lab experiments performed confirm effect model cells. Results We determined 30 distinct clusters assessed stemness scRNA Then, univariate analysis identified 24 candidate genes greatly associated prognosis OSA. Based on these genes, we obtained two subgroups. After conducting step regression, three selected construct signature showing favorable performance forecast outcome. Our proposed could also evaluate response chemotherapy immunotherapy cases. Conclusion generated novel risk based mitochondria-related powerful predictive ability immune landscape.