Liu Huan, Gao Lei, Xie Tiancheng, Li Jie, Zhai Ting-Shuai, Xu Yunfei
Department of Urology, Shanghai Tenth People's Hospital, School of Medicine in Tongji University, Shanghai, China.
Department of Urology, The Second Hospital of Hebei Medical University, Shijiazhuang, China.
Front Oncol. 2021 Jul 15;11:623313. doi: 10.3389/fonc.2021.623313. eCollection 2021.
Ferroptosis, an iron-dependent form of selective cell death, is involved in the development of many cancers. However, ferroptosis related genes (FRGs) in prostate cancer (PCa) are not been well studied. In this study, we collected the mRNA expression profiles and clinical information of PCa patients from TCGA and MSKCC databases. The univariate, LASSO, and multivariate Cox regression analyses were performed to construct a prognostic signature. Seven FRGs, , , , , , , and , were included to establish a risk model, which was validated in the MSKCC dataset. The results showed that the high-risk group was apparently correlated with copy number alteration load, tumor burden mutation, immune cell infiltration, mRNAsi, immunotherapy, and bicalutamide response. Moreover, we found that overexpression induced the proliferation and invasion of PCa cell lines . These results demonstrate that this risk model can accurately predict prognosis, suggesting that FRGs are promising prognostic biomarkers and potential drug targets in PCa patients.
铁死亡是一种铁依赖性的选择性细胞死亡形式，参与多种癌症的发生发展。然而，前列腺癌（PCa）中与铁死亡相关的基因（FRGs）尚未得到充分研究。在本研究中，我们从TCGA和MSKCC数据库收集了PCa患者的mRNA表达谱和临床信息。进行单变量、LASSO和多变量Cox回归分析以构建预后特征。纳入7个FRGs，即 、 、 、 、 、 和 ，建立风险模型，并在MSKCC数据集中进行验证。结果表明，高危组与拷贝数改变负荷、肿瘤负荷突变、免疫细胞浸润、mRNAsi、免疫治疗和比卡鲁胺反应明显相关。此外，我们发现 过表达诱导PCa细胞系 的增殖和侵袭。这些结果表明，该风险模型可以准确预测预后，提示FRGs是PCa患者有前景的预后生物标志物和潜在的药物靶点。
