Cargando…

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

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhou, Weige, Zhang, Shijing, Cai, Zheyou, Gao, Fei, Deng, Wenhui, Wen, Yi, Qiu, Zhen-wen, Hou, Zheng-kun, Chen, Xin-Lin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7531359/
https://www.ncbi.nlm.nih.gov/pubmed/33062428
http://dx.doi.org/10.7717/peerj.9944
_version_ 1783589749272870912
author Zhou, Weige
Zhang, Shijing
Cai, Zheyou
Gao, Fei
Deng, Wenhui
Wen, Yi
Qiu, Zhen-wen
Hou, Zheng-kun
Chen, Xin-Lin
author_facet Zhou, Weige
Zhang, Shijing
Cai, Zheyou
Gao, Fei
Deng, Wenhui
Wen, Yi
Qiu, Zhen-wen
Hou, Zheng-kun
Chen, Xin-Lin
author_sort Zhou, Weige
collection PubMed
description 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.
format Online
Article
Text
id pubmed-7531359
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher PeerJ Inc.
record_format MEDLINE/PubMed
spelling pubmed-75313592020-10-13 A glycolysis-related gene pairs signature predicts prognosis in patients with hepatocellular carcinoma Zhou, Weige Zhang, Shijing Cai, Zheyou Gao, Fei Deng, Wenhui Wen, Yi Qiu, Zhen-wen Hou, Zheng-kun Chen, Xin-Lin PeerJ Bioinformatics 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. PeerJ Inc. 2020-09-29 /pmc/articles/PMC7531359/ /pubmed/33062428 http://dx.doi.org/10.7717/peerj.9944 Text en © 2020 Zhou et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Bioinformatics
Zhou, Weige
Zhang, Shijing
Cai, Zheyou
Gao, Fei
Deng, Wenhui
Wen, Yi
Qiu, Zhen-wen
Hou, Zheng-kun
Chen, Xin-Lin
A glycolysis-related gene pairs signature predicts prognosis in patients with hepatocellular carcinoma
title A glycolysis-related gene pairs signature predicts prognosis in patients with hepatocellular carcinoma
title_full A glycolysis-related gene pairs signature predicts prognosis in patients with hepatocellular carcinoma
title_fullStr A glycolysis-related gene pairs signature predicts prognosis in patients with hepatocellular carcinoma
title_full_unstemmed A glycolysis-related gene pairs signature predicts prognosis in patients with hepatocellular carcinoma
title_short A glycolysis-related gene pairs signature predicts prognosis in patients with hepatocellular carcinoma
title_sort glycolysis-related gene pairs signature predicts prognosis in patients with hepatocellular carcinoma
topic Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7531359/
https://www.ncbi.nlm.nih.gov/pubmed/33062428
http://dx.doi.org/10.7717/peerj.9944
work_keys_str_mv AT zhouweige aglycolysisrelatedgenepairssignaturepredictsprognosisinpatientswithhepatocellularcarcinoma
AT zhangshijing aglycolysisrelatedgenepairssignaturepredictsprognosisinpatientswithhepatocellularcarcinoma
AT caizheyou aglycolysisrelatedgenepairssignaturepredictsprognosisinpatientswithhepatocellularcarcinoma
AT gaofei aglycolysisrelatedgenepairssignaturepredictsprognosisinpatientswithhepatocellularcarcinoma
AT dengwenhui aglycolysisrelatedgenepairssignaturepredictsprognosisinpatientswithhepatocellularcarcinoma
AT wenyi aglycolysisrelatedgenepairssignaturepredictsprognosisinpatientswithhepatocellularcarcinoma
AT qiuzhenwen aglycolysisrelatedgenepairssignaturepredictsprognosisinpatientswithhepatocellularcarcinoma
AT houzhengkun aglycolysisrelatedgenepairssignaturepredictsprognosisinpatientswithhepatocellularcarcinoma
AT chenxinlin aglycolysisrelatedgenepairssignaturepredictsprognosisinpatientswithhepatocellularcarcinoma
AT zhouweige glycolysisrelatedgenepairssignaturepredictsprognosisinpatientswithhepatocellularcarcinoma
AT zhangshijing glycolysisrelatedgenepairssignaturepredictsprognosisinpatientswithhepatocellularcarcinoma
AT caizheyou glycolysisrelatedgenepairssignaturepredictsprognosisinpatientswithhepatocellularcarcinoma
AT gaofei glycolysisrelatedgenepairssignaturepredictsprognosisinpatientswithhepatocellularcarcinoma
AT dengwenhui glycolysisrelatedgenepairssignaturepredictsprognosisinpatientswithhepatocellularcarcinoma
AT wenyi glycolysisrelatedgenepairssignaturepredictsprognosisinpatientswithhepatocellularcarcinoma
AT qiuzhenwen glycolysisrelatedgenepairssignaturepredictsprognosisinpatientswithhepatocellularcarcinoma
AT houzhengkun glycolysisrelatedgenepairssignaturepredictsprognosisinpatientswithhepatocellularcarcinoma
AT chenxinlin glycolysisrelatedgenepairssignaturepredictsprognosisinpatientswithhepatocellularcarcinoma