文献类型：期刊文献

英文题名：Identification of a disulfidptosis-correlated ferroptosis prognostic model in breast cancer

作者：Hu, Tao[1];Shan, Biao-Feng[2];Xu, Jing-Hao[1];Zeng, Tong-Xu[2];Zhao, Le[1];Yu, Bo[2]

第一作者：Hu, Tao

通信作者：Yu, B[1]

机构：[1]Gansu Univ Chinese Med, Clin Med Coll 1, Lanzhou, Peoples R China;[2]Second Peoples Hosp Lanzhou City, Dept Thyroid & Breast Surg, 100 Yanbei Rd, Lanzhou 730030, Gansu, Peoples R China

第一机构：甘肃中医药大学

通信机构：[1]corresponding author), Second Peoples Hosp Lanzhou City, Dept Thyroid & Breast Surg, 100 Yanbei Rd, Lanzhou 730030, Gansu, Peoples R China.

年份：2025

卷号：104

期号：29

起止页码：e42168

外文期刊名：MEDICINE

收录：;Scopus(收录号：2-s2.0-105011492056);WOS:【SCI-EXPANDED(收录号:WOS:001533554800007)】；

基金：This work was supported by the Lanzhou Science and Technology Planning Project (No. 2023-4-13) and the Gansu Province Science and Technology Plan Project (22JR5RA1068).

语种：英文

外文关键词：ANO6; breast cancer; disulfidptosis; ferroptosis; prognostic model

摘要：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.