Zhou Jun, Li Yongfei, Wang Jiangtao, Feng Ming, Yao Chang
Department of Mastopathy, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.
Transl Cancer Res. 2025 Jun 30;14(6):3336-3350. doi: 10.21037/tcr-2024-2377. Epub 2025 Jun 26.
Disulfide death (disulfidptosis) is closely associated with tumor occurrence and progression. This study seeks to investigate the clinical prognostic value of disulfidptosis-related long non-coding RNAs (lncRNAs), explore their association with the tumor microenvironment, and evaluate their capacity to predict drug sensitivity in breast cancer (BRCA) patients.
From The Cancer Genome Atlas (TCGA) database, RNA sequencing expression profiles and corresponding clinical data of BRCA patients were obtained. Utilizing co-expression network analysis, univariate, least absolute shrinkage and selection operator (LASSO), as well as multivariate Cox algorithms, disulfidptosis-related lncRNA features were established. Nomogram construction and validation were employed to investigate their clinical relevance.
Having established a signature with eight disulfidptosis-related lncRNAs, it was found that low-risk BRCA patients exhibited significantly improved overall survival compared to high-risk counterparts. Functional enrichment analysis highlighted immune-related functions and pathways as significantly enriched in the high-risk group. Moreover, distinctions in immune cells, immune functions, and immune checkpoint genes were noted among BRCA patients at varying risk levels. The correlation between the expression of disulfidptosis-related lncRNAs and the response to chemotherapy drugs and immune therapy was evident.
A novel prognostic model and classification for BRCA was established, which can provide robust scientific support for tailoring personalized treatment strategies for immune therapy.
二硫键介导的细胞死亡（二硫键化死亡）与肿瘤的发生和进展密切相关。本研究旨在探讨二硫键化死亡相关长链非编码RNA（lncRNA）的临床预后价值，探索它们与肿瘤微环境的关系，并评估其预测乳腺癌（BRCA）患者药物敏感性的能力。
从癌症基因组图谱（TCGA）数据库中获取BRCA患者的RNA测序表达谱和相应的临床数据。利用共表达网络分析、单因素、最小绝对收缩和选择算子（LASSO）以及多因素Cox算法，建立二硫键化死亡相关lncRNA特征。采用列线图构建和验证来研究其临床相关性。
通过八个二硫键化死亡相关lncRNA建立了一个特征，发现低风险BRCA患者与高风险患者相比，总生存期显著改善。功能富集分析表明，免疫相关功能和通路在高风险组中显著富集。此外，不同风险水平的BRCA患者在免疫细胞、免疫功能和免疫检查点基因方面存在差异。二硫键化死亡相关lncRNA的表达与化疗药物和免疫治疗反应之间的相关性明显。
建立了一种新的BRCA预后模型和分类方法，可为制定免疫治疗的个性化治疗策略提供有力的科学支持。
