Hu Tao, Shan Biao-Feng, Xu Jing-Hao, Zeng Tong-Xu, Zhao Le, Yu Bo
First Clinical Medical College, Gansu University of Chinese Medicine, Lanzhou, China.
Department of Thyroid and Breast Surgery, The Second People's Hospital of Lanzhou City, Lanzhou, China.
Medicine (Baltimore). 2025 Jul 18;104(29):e42168. doi: 10.1097/MD.0000000000042168.
Targeting the urgent need for diagnostic biomarkers in breast cancer, the most common female malignancy, this study evaluates the diagnostic and prognostic potential of disulfidptosis-related ferroptosis genes (DRFGs), leveraging the emerging roles of disulfidptosis and ferroptosis in cancer biology. Ferroptosis- and disulfidptosis-related genes of patients with breast cancer were collected from The Cancer Genome Atlas database, then 154 identified prognosis-associated DRFGs were analyzed using Pearson correlation analysis, and developed a DRFG-associated risk model containing 19 DRFGs by applying the least absolute shrinkage and selection operator Cox regression analysis. We then assessed the prognostic performance of the risk model between the high- and low-risk groups. The risk scores and clinical variables were combined to construct a nomogram. Bioinformatics analyses including functional enrichment analysis and protein-protein interaction networks were conducted. Besides, we examined the biological functions, immune checkpoints, and drug sensitivity of the model. Finally, ANO6 overexpression effects on breast cancer cell invasion and metastasis were examined via wound healing and Transwell assays. The high-risk group showed poorer overall survival (OS) rates (P <.001) and lower receiver operating characteristic curve area under receiver operating characteristic values compared to the low-risk group. The results of univariate and multivariate Cox regression analyses confirmed that the established nomogram model served as an independent prognostic indicator. Functional enrichment analysis revealed the involvement of DRFGs in biological processes and signaling pathways beyond disulfidptosis and ferroptosis. The level of expressions of immune checkpoints for TDO2 and PVR were increased in the high-risk group. Drug sensitivity analysis showed that high-risk patients benefited more from AKT.inhibitor.VIII. Moreover, anoctamin 6 overexpression inhibited breast cancer cell invasion and metastasis. This study successfully established a DRFG-related prognostic model for patients with breast cancer, and anoctamin 6 has emerged as a promising therapeutic target for breast cancer.
针对乳腺癌(最常见的女性恶性肿瘤)对诊断生物标志物的迫切需求,本研究利用二硫键介导的铁死亡和铁死亡在癌症生物学中的新作用,评估了二硫键介导的铁死亡相关基因(DRFGs)的诊断和预后潜力。从癌症基因组图谱数据库收集乳腺癌患者的铁死亡和二硫键介导的铁死亡相关基因,然后使用Pearson相关分析对154个鉴定出的预后相关DRFGs进行分析,并通过应用最小绝对收缩和选择算子Cox回归分析开发了一个包含19个DRFGs的DRFG相关风险模型。然后我们评估了高风险组和低风险组之间风险模型的预后性能。将风险评分和临床变量相结合构建列线图。进行了包括功能富集分析和蛋白质-蛋白质相互作用网络在内的生物信息学分析。此外,我们研究了该模型的生物学功能、免疫检查点和药物敏感性。最后,通过伤口愈合试验和Transwell试验检测ANO6过表达对乳腺癌细胞侵袭和转移的影响。与低风险组相比,高风险组的总生存率(OS)较差(P<.001),且受试者工作特征曲线下面积较低。单因素和多因素Cox回归分析结果证实,建立的列线图模型可作为独立的预后指标。功能富集分析表明,DRFGs参与了除二硫键介导的铁死亡和铁死亡之外的生物过程和信号通路。高风险组中TDO2和PVR免疫检查点的表达水平升高。药物敏感性分析表明,高风险患者从AKT抑制剂VIII中获益更多。此外,八聚体膜联蛋白6过表达抑制乳腺癌细胞侵袭和转移。本研究成功建立了乳腺癌患者的DRFG相关预后模型,八聚体膜联蛋白6已成为有前景的乳腺癌治疗靶点。