A glycolysis-related gene pairs signature predicts prognosis in patients with hepatocellular carcinoma

Author:

Zhou Weige1,Zhang Shijing1,Cai Zheyou1,Gao Fei2,Deng Wenhui3,Wen Yi4,Qiu Zhen-wen4,Hou Zheng-kun4,Chen Xin-Lin1

Affiliation:

1. School of Basic Medical Science, Guangzhou University of Chinese Medicine, Guangzhou, China

2. Department of Minimally Invasive & Interventional Radiology, Sun Yat-sen University Cancer Center, Guangzhou, China

3. The Fourth Affiliated Hospital of Guangzhou University of Chinese Medicine, Shenzhen, China

4. The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China

Abstract

Background 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. Methods 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. Results 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 P = 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: P = 1.143e−02, and Asian: P = 6.342e−08). Additionally, the GRGPs signature was also validated as a significantly independent prognostic indicator in two validation datasets. Conclusion The seventeen GRGPs and their signature might be molecular biomarkers and therapeutic targets for the patients with HCC.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Guangdong Province

Guangzhou University of Chinese Medicine

Publisher

PeerJ

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

Reference39 articles.

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