Department of Hepatobiliary Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Key Laboratory of Diagnosis and Treatment of Severe Hepato-Pancreatic Diseases of Zhejiang Province, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
J Cell Mol Med. 2021 Jul;25(14):6618-6633. doi: 10.1111/jcmm.16666. Epub 2021 Jun 4.
Ferroptosis is a newly identified cell death mechanism and potential biomarker for hepatocellular carcinoma (HCC) therapy; however, its clinical relevance and underlying mechanism remain unclear. In this study, transcriptome and methylome data from 374 HCC cases were investigated for 41 ferroptosis-related genes to identify ferroptosis activity-associated subtypes. These subtypes were further investigated for associations with clinical and pathological variables, gene mutation landscapes, deregulated pathways and tumour microenvironmental immunity. A gene expression signature and predictive model were developed and validated using an additional 232 HCC cases from another independent cohort. Two distinct ferroptosis phenotypes (Ferroptosis-H and Ferroptosis-L) were identified according to ferroptosis gene expression and methylation in the patients with HCC. Patients with the Ferroptosis-H had worse overall and disease-specific survival, and the molecular subtypes were significantly associated with different clinical characteristics, mRNA expression patterns, tumour mutation profiles and microenvironmental immune status. Furthermore, a 15-gene ferroptosis-related prognostic model (FPM) for HCC was developed and validated which demonstrated accurate risk stratification ability. A nomogram included the FPM risk score, ECOG PS and hepatitis B status was developed for eventual clinical translation. Our results suggest that HCC subtypes defined by ferroptosis gene expression and methylation may be used to stratify patients for clinical decision-making.
铁死亡是一种新发现的细胞死亡机制,也是肝细胞癌 (HCC) 治疗的潜在生物标志物;然而,其临床相关性和潜在机制尚不清楚。本研究通过对 374 例 HCC 病例的转录组和甲基化组数据进行分析,研究了 41 个与铁死亡相关的基因,以确定与铁死亡活性相关的亚型。进一步研究这些亚型与临床和病理变量、基因突变景观、失调通路和肿瘤微环境免疫的关联。使用另一个独立队列的 232 例 HCC 病例开发和验证了基因表达谱和预测模型。根据 HCC 患者的铁死亡基因表达和甲基化,确定了两种不同的铁死亡表型(铁死亡-H 和铁死亡-L)。铁死亡-H 患者的总生存期和疾病特异性生存期更差,分子亚型与不同的临床特征、mRNA 表达模式、肿瘤突变谱和微环境免疫状态显著相关。此外,还开发并验证了一个用于 HCC 的 15 个基因铁死亡相关预后模型 (FPM),该模型具有准确的风险分层能力。最终开发了一个包含 FPM 风险评分、ECOG PS 和乙型肝炎状态的列线图,用于临床转化。我们的研究结果表明,通过铁死亡基因表达和甲基化定义的 HCC 亚型可能用于对患者进行临床决策分层。