Jiang Hong-Ye, Ning Gang, Wang Yen-Sheng, Lv Wei-Biao
Department of Clinical Laboratory, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde) Foshan 528308, Guangdong Province, PR China.
Department of Gastroenterology and Hepatology, Guangzhou Digestive Diseases Center, Guangzhou First People's Hospital, South China University of Technology Guangzhou, Guangdong Province, PR China.
Am J Transl Res. 2020 Dec 15;12(12):7762-7781. eCollection 2020.
Hepatocellular carcinoma (HCC) is one of the leading cancer death and is the primary malignancy of the liver. Tumor hypoxia is the stressor that is involved in tumorigenesis and significantly increased the aggressiveness of HCC. Here, we systematically analyzed the expression profiles and prognostic values of 84 hypoxia associated genes in HCC. mRNA expression of 84 hypoxia associated genes and clinical parameters of HCC patients were downloaded from TCGA, GSE14520, GSE109211 and ICGC. Consensus clustering analysis was performed for unsupervised classes on the basis of 84 hypoxia associated genes. Univariate and LASSO analysis were used to develop the risk signature. A risk signature was developed, including the expression of APEX1, ATR, CTSA, DNAJC5, ENO1, EPO, HMOX1, LDHA, NDRG1, and PER1, and found to be significantly related with OS and DFS of HCC patients. We stratified HCC patients into the high-risk group and low-risk group by means of the risk signature. Patients of high-risk group had shorter OS and DFS, while that of the low-risk group had longer OS and DFS. The risk signature showed better predictive efficiency than the TNM staging in predicting OS and DFS. Also, macrophage M0 cells, regulatory T cells, and neutrophils were found to be significantly enriched in patients of high-risk group. Next, we validated the discrimination and prognostic value of the risk signature in GSE14520 and the ICGC HCC cohort. Finally, significantly lower risk scores were found in sorafenib treatment responders of GSE109211 cohort, and the AUC for predicting sorafenib treatment response was 0.881. In conclusion, a risk signature developed with the expression of 10 hypoxia associated genes improved the prognosis prediction of HCC and correlated with sorafenib treatment response.
肝细胞癌(HCC)是导致癌症死亡的主要原因之一,也是肝脏的主要恶性肿瘤。肿瘤缺氧是参与肿瘤发生的应激源,显著增加了HCC的侵袭性。在此,我们系统分析了84个缺氧相关基因在HCC中的表达谱和预后价值。从TCGA、GSE14520、GSE109211和ICGC下载了84个缺氧相关基因的mRNA表达及HCC患者的临床参数。基于84个缺氧相关基因对无监督类别进行共识聚类分析。采用单因素和LASSO分析来构建风险特征。构建了一个风险特征,包括APEX1、ATR、CTSA、DNAJC5、ENO1、EPO、HMOX1、LDHA、NDRG1和PER1的表达,并发现其与HCC患者的总生存期(OS)和无病生存期(DFS)显著相关。我们通过风险特征将HCC患者分为高风险组和低风险组。高风险组患者的OS和DFS较短,而低风险组患者的OS和DFS较长。在预测OS和DFS方面,风险特征显示出比TNM分期更好的预测效率。此外,发现巨噬细胞M0细胞、调节性T细胞和中性粒细胞在高风险组患者中显著富集。接下来,我们在GSE14520和ICGC HCC队列中验证了风险特征的鉴别和预后价值。最后,在GSE109211队列的索拉非尼治疗反应者中发现风险评分显著较低,预测索拉非尼治疗反应的曲线下面积(AUC)为0.881。总之,由10个缺氧相关基因表达构建的风险特征改善了HCC的预后预测,并与索拉非尼治疗反应相关。