Zhou Weige, Zhang Shijing, Cai Zheyou, Gao Fei, Deng Wenhui, Wen Yi, Qiu Zhen-Wen, Hou Zheng-Kun, Chen Xin-Lin
School of Basic Medical Science, Guangzhou University of Chinese Medicine, Guangzhou, China.
Department of Minimally Invasive & Interventional Radiology, Sun Yat-sen University Cancer Center, Guangzhou, China.
PeerJ. 2020 Sep 29;8:e9944. doi: 10.7717/peerj.9944. eCollection 2020.
Hepatocellular carcinoma (HCC) is one of the most universal malignant liver tumors worldwide. However, there were no systematic studies to establish glycolysis‑related gene pairs (GRGPs) signatures for the patients with HCC. Therefore, the study aimed to establish novel GRGPs signatures to better predict the prognosis of HCC.
Based on the data from Gene Expression Omnibus, The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium databases, glycolysis-related mRNAs were used to construct GRGPs. Cox regression was applied to establish a seventeen GRGPs signature in TCGA dataset, which was verified in two validation (European and American, and Asian) datasets.
Seventeen prognostic GRGPs (HMMR_PFKFB1, CHST1_GYS2, MERTK_GYS2, GPC1_GYS2, LDHA_GOT2, IDUA_GNPDA1, IDUA_ME2, IDUA_G6PD, IDUA_GPC1, MPI_GPC1, SDC2_LDHA, PRPS1_PLOD2, GALK1_IER3, MET_PLOD2, GUSB_IGFBP3, IL13RA1_IGFBP3 and CYB5A_IGFBP3) were identified to be significantly progressive factors for the patients with HCC in the TCGA dataset, which constituted a GRGPs signature. The patients with HCC were classified into low-risk group and high-risk group based on the GRGPs signature. The GRGPs signature was a significantly independent prognostic indicator for the patients with HCC in TCGA (log-rank = 2.898e-14). Consistent with the TCGA dataset, the patients in low-risk group had a longer OS in two validation datasets (European and American: = 1.143e-02, and Asian: = 6.342e-08). Additionally, the GRGPs signature was also validated as a significantly independent prognostic indicator in two validation datasets.
The seventeen GRGPs and their signature might be molecular biomarkers and therapeutic targets for the patients with HCC.
肝细胞癌(HCC)是全球最常见的恶性肝脏肿瘤之一。然而,尚无系统研究为HCC患者建立糖酵解相关基因对(GRGP)特征。因此,本研究旨在建立新的GRGP特征,以更好地预测HCC的预后。
基于基因表达综合数据库、癌症基因组图谱(TCGA)和国际癌症基因组联盟数据库的数据,使用糖酵解相关的mRNA构建GRGP。应用Cox回归在TCGA数据集中建立了一个包含17个GRGP的特征,并在两个验证数据集(欧美和亚洲)中进行了验证。
在TCGA数据集中,鉴定出17个预后GRGP(HMMR_PFKFB1、CHST1_GYS2、MERTK_GYS2、GPC1_GYS2、LDHA_GOT2、IDUA_GNPDA1、IDUA_ME2、IDUA_G6PD、IDUA_GPC1、MPI_GPC1、SDC2_LDHA、PRPS1_PLOD2、GALK1_IER3、MET_PLOD2、GUSB_IGFBP3、IL13RA1_IGFBP3和CYB5A_IGFBP3)是HCC患者显著的进展因素,它们构成了一个GRGP特征。根据GRGP特征将HCC患者分为低风险组和高风险组。GRGP特征是TCGA中HCC患者显著的独立预后指标(对数秩 = 2.898e-14)。与TCGA数据集一致,低风险组患者在两个验证数据集中的总生存期更长(欧美: = 1.143e-02,亚洲: = 6.342e-08)。此外,GRGP特征在两个验证数据集中也被验证为显著的独立预后指标。
这17个GRGP及其特征可能是HCC患者的分子生物标志物和治疗靶点。