Lu Guofang, Du Rui, Feng Bin, Wang Jianlin, Zhang Fengrui, Pei Jianming, Wang Yuanyong, Shang Yulong
State Key Laboratory of Cancer Biology and National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Fourth Military Medical University, Xi'an, People's Republic of China.
Department of Physiology and Pathophysiology, National Key Discipline of Cell Biology, Fourth Military Medical University, Xi'an, People's Republic of China.
J Inflamm Res. 2022 Dec 13;15:6729-6743. doi: 10.2147/JIR.S390113. eCollection 2022.
Tumor growth depends on tumor cells and the tumor microenvironment, which are regulated by inflammation and immune responses. However, the roles of inflammation and immune status in hepatocellular carcinoma (HCC) remain unclear. The aim of this study was to evaluate the prognostic value of an inflammatory response- related gene signature associated with immune status, which may provide insight into new treatment options for HCC patients.
Differentially expressed genes associated with inflammation were obtained from The Cancer Genome Atlas (TCGA), the Gene Expression Omnibus, and the Molecular Signatures Database. An inflammation-associated prognostic gene signature was constructed and validated using TCGA and the International Cancer Genome Consortium datasets, respectively, using LASSO Cox regression analysis. Log-rank was performed to compare the overall survival of low- and high-risk score cohorts. Immune cell infiltration and immune-related functions were analyzed using single-sample gene enrichment analysis. The structures of the drugs identified by the prognostic model were predicted using PubChem. The drugs sensitivity of bleomycin, simvastatin and zoledronate detected by CCK8 colorimetric assay. The mRNA levels of 7 genes in HCC after drug treatment analyzed via qRT-PCR.
Inflammation-associated genes, including ITGA5, MEP1A, P2RX4, RIPK2, SLC7A1 and SRI, were identified and found to be associated with the prognosis of HCC. We further found that the high-risk patients experienced poor prognosis, which was observed to be an independent and significant risk factor for prognosis. Moreover, we observed elevated expression levels in multiple immune cell types and immune function. Lastly, we validated that bleomycin, simvastatin and zoledronate could regulate these genes in HCC.
The inflammatory-response-associated gene signature could predict the prognosis and the immunological status of HCC patients. Additionally, bleomycin, simvastatin and zoledronate may represent potential drug candidates that could inhibit these genes. This may constitute a new approach for the treatment of HCC.
肿瘤生长依赖于肿瘤细胞和肿瘤微环境,它们受炎症和免疫反应调节。然而,炎症和免疫状态在肝细胞癌(HCC)中的作用仍不清楚。本研究的目的是评估与免疫状态相关的炎症反应相关基因特征的预后价值,这可能为HCC患者提供新的治疗选择思路。
从癌症基因组图谱(TCGA)、基因表达综合数据库和分子特征数据库中获取与炎症相关的差异表达基因。分别使用TCGA和国际癌症基因组联盟数据集,通过LASSO Cox回归分析构建并验证炎症相关的预后基因特征。采用对数秩检验比较低风险和高风险评分队列的总生存期。使用单样本基因富集分析来分析免疫细胞浸润和免疫相关功能。使用PubChem预测预后模型鉴定出的药物结构。通过CCK8比色法检测博来霉素、辛伐他汀和唑来膦酸的药物敏感性。通过qRT-PCR分析药物治疗后HCC中7个基因的mRNA水平。
鉴定出包括整合素α5(ITGA5)、金属酶1A(MEP1A)、嘌呤受体P2X4(P2RX4)、受体相互作用丝氨酸/苏氨酸蛋白激酶2(RIPK2)、溶质载体家族7成员1(SLC7A1)和丝氨酸消旋酶(SRI)在内的与炎症相关的基因,发现它们与HCC的预后相关。我们进一步发现高风险患者预后较差,这被观察到是一个独立且显著的预后危险因素。此外,我们观察到多种免疫细胞类型和免疫功能的表达水平升高。最后,我们验证了博来霉素、辛伐他汀和唑来膦酸可以调节HCC中的这些基因。
炎症反应相关基因特征可以预测HCC患者的预后和免疫状态。此外,博来霉素、辛伐他汀和唑来膦酸可能是能够抑制这些基因的潜在候选药物。这可能构成一种治疗HCC的新方法。