School of Public Health and Laboratory Medicine, School of Basic Medicine, The First Affiliated Hospital of Hunan University of Medicine, Hunan University of Medicine, Huaihua, 418000 Hunan, China.
School of Nursing, Youjiang Medical College for Nationalities, Baise, 533000 Guangxi, China.
Biomed Res Int. 2022 Oct 18;2022:2390764. doi: 10.1155/2022/2390764. eCollection 2022.
Breast cancer (BC) is one of the most common malignancies affecting women. Ferroptosis is a novel cancer treatment option. The present study is aimed to identify suitable ferroptosis-related lncRNAs to predict and diagnose BC. Differential expression and Cox regression analyses were used to screen suitable prognostic biomarkers and construct a suitable risk model. We identified four ferroptosis-related differentially expressed lncRNAs (FR-DELs) (LINC01152, AC004585.1, MAPT-IT1, and AC026401.3), which were independently correlated with the overall survival of BC patients. The area under the curve value of the prognostic model using those four biomarkers was over 0.60 in all three groups. The sensitivity and specificity of the diagnostic model using those four biomarkers were 86.89% and 86.73%, respectively. Our present study indicated that these four FR-DELs (LINC01152, AC004585.1, MAPT-IT1, and AC026401.3) could be prognostic biomarkers for BC, although clinical validation studies are required.
乳腺癌（BC）是影响女性的最常见恶性肿瘤之一。铁死亡是一种新的癌症治疗选择。本研究旨在鉴定合适的铁死亡相关 lncRNA，以预测和诊断 BC。差异表达和 Cox 回归分析用于筛选合适的预后生物标志物并构建合适的风险模型。我们鉴定了四个铁死亡相关差异表达 lncRNA（FR-DELs）（LINC01152、AC004585.1、MAPT-IT1 和 AC026401.3），它们独立地与 BC 患者的总生存期相关。使用这四个生物标志物的预后模型的曲线下面积在所有三组中均超过 0.60。使用这四个生物标志物的诊断模型的灵敏度和特异性分别为 86.89%和 86.73%。我们的研究表明，这四个 FR-DELs（LINC01152、AC004585.1、MAPT-IT1 和 AC026401.3）可能是 BC 的预后生物标志物，但需要进行临床验证研究。
