Precision prognostication in breast cancer: unveiling a long non-coding RNA-based model linked to disulfidptosis for tailored immunotherapeutic strategies

Chenglu Jiang; Shengke Zhang; Lai Jiang; Zipei Chen; Haiqing Chen; Jinbang Huang; Xuancheng Zhou; Jingyi Tang; Xinrui Gao; Hao Chi; Guanhu Yang; Shangke Huang

doi:doi:10.18632/aging.205946

← Back

Research Paper Advance Articles

Precision prognostication in breast cancer: unveiling a long non-coding RNA-based model linked to disulfidptosis for tailored immunotherapeutic strategies

Figure 8. Enrichment analysis of prognostic markers in breast cancer patients. (A) Illustrates the pathway enrichment of differentially expressed genes concerning cellular components, molecular functions, and biological processes. (B) GSEA enrichment analysis reveals five upregulated functional pathways. (C) GSVA is employed to analyze the differential expression of various KEGG pathways between the two risk groups.