Wang Jukun, Li Yu, Zhang Chao, Chen Xin, Zhu Linzhong, Luo Tao
Department of General Surgery, Xuanwu Hospital, Capital Medical University Beijing, China.
Am J Transl Res. 2022 Jan 15;14(1):86-102. eCollection 2022.
Heterogeneity and complexity of hepatocellular carcinoma (HCC) have been an impediment to effective diagnosis and treatment of HCC. Mounting evidence suggests that ferroptosis-related genes (FRGs) regulate the development of HCC by affecting the tumor microenvironment (TME). Herein, we explored the role of ferroptosis-related molecular patterns in the HCC microenvironment. The transcriptome and corresponding clinicopathological data of HCC patients were downloaded from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) database, respectively. Molecular patterns of ferroptosis were explored using consensus clustering analysis and ferroptosis-related molecular patterns in the individual patients were analyzed using principal component analysis (PCA). The ability of ferroptosis-related patterns to predict the biological status and survival outcomes of HCC patients was investigated. Based on the expression of FRGs, three molecular patterns related to ferroptosis were identified. Single sample gene set enrichment analysis (ssGSEA) showed that the molecular patterns associated with the worst prognosis were significantly correlated with high infiltration of immunosuppressive cells in the TME. Besides, we identified three ferroptosis gene clusters underlying the different biological features of the three ferroptosis patterns. Patients in the high-risk group had a worse biological status and survival outcomes than those in the low-risk group. This study demonstrates that ferroptosis-related molecular patterns lead to high heterogeneity in HCC. These molecular patterns can be used to assess the survival of HCC patients and guide the design of immunotherapy strategies for HCC patients.
肝细胞癌(HCC)的异质性和复杂性一直是有效诊断和治疗HCC的障碍。越来越多的证据表明,铁死亡相关基因(FRGs)通过影响肿瘤微环境(TME)来调节HCC的发展。在此,我们探讨了铁死亡相关分子模式在HCC微环境中的作用。分别从癌症基因组图谱(TCGA)和基因表达综合数据库(GEO)下载了HCC患者的转录组和相应的临床病理数据。使用共识聚类分析探索铁死亡的分子模式,并使用主成分分析(PCA)分析个体患者中铁死亡相关的分子模式。研究了铁死亡相关模式预测HCC患者生物学状态和生存结果的能力。基于FRGs的表达,鉴定出三种与铁死亡相关的分子模式。单样本基因集富集分析(ssGSEA)表明,与最差预后相关的分子模式与TME中免疫抑制细胞的高浸润显著相关。此外,我们确定了三种铁死亡模式不同生物学特征背后的三个铁死亡基因簇。高危组患者的生物学状态和生存结果比低危组患者更差。这项研究表明,铁死亡相关分子模式导致HCC高度异质性。这些分子模式可用于评估HCC患者的生存情况,并指导HCC患者免疫治疗策略的设计。