Department of Gastroenterology, The Affiliated Hospital of Guizhou Medical University, Guiyang, China.
School of Clinical Medicine, Guizhou Medical University, Guiyang, China.
J Cell Mol Med. 2023 Jul;27(13):1820-1835. doi: 10.1111/jcmm.17780. Epub 2023 May 30.
Inflammation and ferroptosis crosstalk complexly with immune microenvironment of hepatocellular carcinoma (HCC), thus affecting the efficacy of immunotherapy. Herein, our aim was to identify the inflammation-associated ferroptosis (IAF) biomarkers for contributing HCC. A total of 224 intersecting DEGs identified from different inflammation- and ferroptosis-subtypes were set as IAF genes. Seven of them including ADH4, APOA5, CFHR3, CXCL8, FTCD, G6PD and PON1 were used for construction of a risk model which classified HCC patients into two groups (high and low risk). HCC patients in the high-risk group exhibited shorter survival rate and higher immune score, and were predicted to have higher respond rate in immune checkpoint inhibition (ICI) therapy. Levels of the seven genes were significantly changed in HCC tissues in comparison to adjacent tissues. After inserting the gene expression into the risk model, we found that the risk model exhibited the higher diagnostic value for distinguish HCC tissues compared each single gene. Furthermore, HCC tissues from our research group with high-risk score exhibited more cases of microsatellite instability (MSI), heavier tumour mutational burden (TMB), higher expression level of PDL1 and cells with CD8. Knockdown of APOA5 reduced HCC cell proliferation combining with elevating inflammation and ferroptosis levels. In conclusion, we considered APOA5 maybe a novel target for suppressing HCC via simultaneously elevating inflammation and ferroptosis levels, and signature constructed by seven IAF genes including ADH4, APOA5, CFHR3, CXCL8, FTCD, G6PD and PON1 can act as a biomarker for optimising the diagnosis, prognosis evaluation and immunotherapy options in HCC patients.
炎症和铁死亡与肝细胞癌(HCC)的免疫微环境相互作用,从而影响免疫治疗的效果。在此,我们的目的是确定与炎症相关的铁死亡(IAF)生物标志物,以促进 HCC 的研究。从不同的炎症和铁死亡亚型中鉴定出的 224 个相交的差异表达基因被确定为 IAF 基因。其中包括 ADH4、APOA5、CFHR3、CXCL8、FTCD、G6PD 和 PON1 在内的 7 个基因被用于构建风险模型,该模型将 HCC 患者分为两组(高风险和低风险)。高风险组的 HCC 患者的生存率更短,免疫评分更高,并且被预测在免疫检查点抑制(ICI)治疗中具有更高的应答率。与相邻组织相比,HCC 组织中这 7 个基因的水平有显著变化。在将基因表达插入风险模型后,我们发现该风险模型在区分 HCC 组织方面表现出了更高的诊断价值,优于每个单一基因。此外,我们研究小组中具有高风险评分的 HCC 组织表现出更多的微卫星不稳定性(MSI)、更重的肿瘤突变负担(TMB)、更高的 PDL1 表达水平和 CD8 阳性细胞。APOA5 的敲低结合炎症和铁死亡水平的升高可降低 HCC 细胞的增殖。总之,我们认为 APOA5 可能是一种通过同时提高炎症和铁死亡水平来抑制 HCC 的新靶点,由 ADH4、APOA5、CFHR3、CXCL8、FTCD、G6PD 和 PON1 等 7 个 IAF 基因组成的特征可作为优化 HCC 患者诊断、预后评估和免疫治疗选择的生物标志物。