Department of Microbiology, Harbin Medical University, Harbin, 150081, Heilongjiang, China.
College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, Heilongjiang, China.
Clin Transl Oncol. 2023 Mar;25(3):721-730. doi: 10.1007/s12094-022-02977-7. Epub 2022 Nov 1.
Hepatocellular carcinoma (HCC) is one of the most prevalent types of cancers in Asia. Accumulating evidence suggests that ferroptosis is a non-apoptotic form of cell death, and has played an important role in cancer biology.
Based on the manually curated ferroptosis-related gene set and TCGA-LIHC dataset of Asian patients, we used DESeq2, Kaplan-Meier analysis, and univariate Cox regression to identify differentially expressed ferroptosis-related genes with significantly prognostic capacity. A risk signature was constructed based on the selected genes for predicting the survival of HCC patients in Asia. The survival prediction accuracy was confirmed by the time-dependent receiver operating characteristic (ROC) curve analysis. Gene set variation analysis (GSVA) was used to explore the functional associations of the signature. Ferroptosis potential index (FPI) and xCell algorithm was applied to quantify ferroptosis and immune cell infiltration, respectively. Two independent datasets from the GEO and the ICGC database were used for external validation.
The ferroptosis-related signature could accurately predict the survival outcomes of HCC patients in Asian (p value < 0.0001). We showed that the signature was an independent factor and was beneficial in elevating risk stratification of current clinicopathologic features, such as the amount of alpha-fetoprotein (AFP) and residual tumor classification. Functional characterization showed that critical processes in tumorigenesis belonged to the high-risk groups, for example inflammatory response, which may be the main driver of HCC. The high-risk group had higher FPIs and infiltrations of macrophages and T-helper cells than the low-risk group. Furthermore, two independent cohorts confirmed the prognostic value of our signature.
Overall, our results demonstrated potential application of ferroptosis-related genes as independent biomarkers in Asian HCC patients. Targeting ferroptosis may be clinically useful beyond known clinicopathological factors and provide benefit in immunotherapy.
肝细胞癌(HCC)是亚洲最常见的癌症类型之一。越来越多的证据表明,铁死亡是一种非凋亡性的细胞死亡形式,在癌症生物学中发挥着重要作用。
基于手动整理的铁死亡相关基因集和亚洲患者的 TCGA-LIHC 数据集,我们使用 DESeq2、Kaplan-Meier 分析和单变量 Cox 回归来识别具有显著预后能力的差异表达的铁死亡相关基因。基于选定的基因构建风险签名,以预测亚洲 HCC 患者的生存情况。通过时间依赖的接收器工作特征(ROC)曲线分析来验证生存预测的准确性。基因集变异分析(GSVA)用于探索签名的功能关联。铁死亡潜力指数(FPI)和 xCell 算法分别用于量化铁死亡和免疫细胞浸润。使用来自 GEO 和 ICGC 数据库的两个独立数据集进行外部验证。
铁死亡相关的签名可以准确预测亚洲 HCC 患者的生存结果(p 值<0.0001)。我们表明,该签名是一个独立的因素,可以提高当前临床病理特征(如甲胎蛋白(AFP)的含量和残留肿瘤分类)的风险分层。功能特征表明,肿瘤发生的关键过程属于高风险组,例如炎症反应,这可能是 HCC 的主要驱动因素。高风险组的 FPI 较高,巨噬细胞和辅助性 T 细胞浸润较高。此外,两个独立的队列证实了我们的签名的预后价值。
总的来说,我们的研究结果表明,铁死亡相关基因作为亚洲 HCC 患者独立的生物标志物具有潜在的应用价值。靶向铁死亡可能在已知的临床病理因素之外具有临床应用价值,并在免疫治疗中获益。