A prognostic cuproptosis gene signature predicts immune function and chemotherapy response in gliomas

Research Square (Research Square)(2022)

引用 0|浏览1
暂无评分
摘要
Abstract Background: Cuproptosis is a novel programmed cell death mechanism involved in tumor development and progression. We aimed to identify the prognosis-related cuproptosis gene signature in gliomasand to investigate its association with immunotherapy response. Methods: Glioma transcriptome, clinical, and single-nucleotide mutation data were obtained from the TCGA database. Univariate, LASSO, and multivariate Cox regression analyses were used for prognostic signature construction. Survival analysis, ROC curve analysis, Cox regression analysis, and nomograms were utilized to evaluate model accuracy. GO and KEGG enrichment analyses of differentially expressed genes between the risk groups were used to explore potential mechanisms of action. Prognostic lncRNAs that were co-expressed with risk signature genes were also identified. The CIBERSORT, ssGSEA, GSVA, and ESTIMATE algorithms were employed to assess associations between the risk score and variations in the tumor microenvironment, immune cell infiltration, immune checkpoints, and immune responses. Maftools and pRRophetic were used to predict tumor mutation burden and drug sensitivity. Results: A nine-cuproptosis-gene signature was identified and used to construct a prognostic risk model with excellent prognostic value for glioma patients. Functional enrichment implied variations in immune pathways and metallopeptidase activity between risk groups. The high-risk group exhibited a higher immune score but lower tumor purity. Additionally, the high-risk group exhibited increased macrophage infiltration, immune function score, immune checkpoint gene expression, and tumor mutation burden. Finally, we screened for drug sensitivity among the different risk groups. Conclusion: The novel prognostic signature of cuproptosis genes could aid in risk stratification, immunotherapy response prediction, and individualized treatment strategies for glioma patients.
更多
查看译文
关键词
prognostic cuproptosis gene signature,gliomas,chemotherapy response,immune function
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要