Li Wenli, Liu Jun, Zhang Dangui, Gu Liming, Zhao Hetong
Reproductive Medicine Center, Yue Bei People's Hospital, Shantou University Medical College, Shaoguan, China.
Medical Research Center, Yue Bei People's Hospital, Shantou University Medical College, Shaoguan, China.
Front Genet. 2022 Apr 26;13:844624. doi: 10.3389/fgene.2022.844624. eCollection 2022.
Ferroptosis exerts a pivotal role in the formation and dissemination processes of hepatocellular carcinoma (HCC). The heterogeneity of ferroptosis and the link between ferroptosis and immune responses have remained elusive. Based on ferroptosis-related genes (FRGs) and HCC patients from The Cancer Genome Atlas (TCGA), International Cancer Genome Consortium (ICGC), and Gene Expression Omnibus (GEO) cohorts, we comprehensively explored the heterogeneous ferroptosis subtypes. The genetic alterations, consensus clustering and survival analysis, immune infiltration, pathway enrichment analysis, integrated signature development, and nomogram building were further investigated. Kaplan-Meier plotter confirmed statistically differential probabilities of survival among the three subclusters. Immune infiltration analysis showed there were clear differences among the types of immune cell infiltration, the expression of PD-L1, and the distribution of TP53 mutations among the three clusters. Univariate Cox regression analysis, random survival forest, and multivariate Cox analysis were used to identify the prognostic integrated signature, including MED8, PIGU, PPM1G, RAN, and SNRPB. Kaplan-Meier analysis and time-dependent receiver operating characteristic (ROC) curves revealed the satisfactory predictive potential of the five-gene model. Subsequently, a nomogram was established, which combined the signature with clinical factors. The nomogram including the ferroptosis-based signature was conducted and showed some clinical net benefits. These results facilitated an understanding of ferroptosis and immune responses for HCC.
铁死亡在肝细胞癌(HCC)的形成和扩散过程中发挥着关键作用。铁死亡的异质性以及铁死亡与免疫反应之间的联系一直难以捉摸。基于来自癌症基因组图谱(TCGA)、国际癌症基因组联盟(ICGC)和基因表达综合数据库(GEO)队列中的铁死亡相关基因(FRG)和HCC患者,我们全面探索了异质性铁死亡亚型。进一步研究了基因改变、一致性聚类和生存分析、免疫浸润、通路富集分析、综合特征开发和列线图构建。Kaplan-Meier绘图仪证实了三个亚组之间在统计学上存在生存概率差异。免疫浸润分析表明,三个簇在免疫细胞浸润类型、PD-L1表达和TP53突变分布方面存在明显差异。使用单变量Cox回归分析、随机生存森林和多变量Cox分析来识别预后综合特征,包括MED8、PIGU、PPM1G、RAN和SNRPB。Kaplan-Meier分析和时间依赖性受试者工作特征(ROC)曲线显示了五基因模型具有令人满意的预测潜力。随后,建立了一个列线图,将该特征与临床因素相结合。包括基于铁死亡的特征的列线图进行了分析,并显示出一些临床净效益。这些结果有助于理解HCC的铁死亡和免疫反应。