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Identification of a prognostic signature of nine metabolism-related genes for hepatocellular carcinoma

BACKGROUND: Hepatocellular carcinoma (HCC) is the fifth most common cancer. Since changes in liver metabolism contribute to liver disease development, it is necessary to build a metabolism-related prognostic model for HCC. METHODS: We constructed a metabolism-related-gene (MRG) signature comprising...

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Autores principales: Tang, Chaozhi, Ma, Jiakang, Liu, Xiuli, Liu, Zhengchun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7473097/
https://www.ncbi.nlm.nih.gov/pubmed/32953265
http://dx.doi.org/10.7717/peerj.9774
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author Tang, Chaozhi
Ma, Jiakang
Liu, Xiuli
Liu, Zhengchun
author_facet Tang, Chaozhi
Ma, Jiakang
Liu, Xiuli
Liu, Zhengchun
author_sort Tang, Chaozhi
collection PubMed
description BACKGROUND: Hepatocellular carcinoma (HCC) is the fifth most common cancer. Since changes in liver metabolism contribute to liver disease development, it is necessary to build a metabolism-related prognostic model for HCC. METHODS: We constructed a metabolism-related-gene (MRG) signature comprising nine genes, which segregated HCC patients into high- and low-risk groups. RESULTS: The survival rate (overall survival: OS; relapse-free survival; and progression-free survival) of patients in the low-risk group of The Cancer Genome Atlas (TCGA) cohort was significantly higher than that of patients in the high-risk group. The OS prognostic signature was validated in the International Cancer Genome Consortium independent cohort. The corresponding receiver operating characteristic curves of the model indicated that the signature had good diagnostic efficiency, in terms of improving OS over 1, 3, and 5 years. Hierarchical analysis demonstrated that the MRG signature was significantly associated with better prognosis in male patients, patients aged ≤ 65 years, and patients carrying the wild-type TP53 or CTNNB1 genes. A nomogram was established, and good performance and clinical practicability were confirmed. Additionally, using the GSE109211 dataset from the Gene Expression Omnibus database, we were able to verify that the nine genes in this MRG signature had different responses to sorafenib, suggesting that some of these MRGs may act as therapeutic targets for HCC. CONCLUSIONS: We believe that these findings will add value in terms of the diagnosis, treatment, and prognosis of HCC.
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spelling pubmed-74730972020-09-17 Identification of a prognostic signature of nine metabolism-related genes for hepatocellular carcinoma Tang, Chaozhi Ma, Jiakang Liu, Xiuli Liu, Zhengchun PeerJ Bioinformatics BACKGROUND: Hepatocellular carcinoma (HCC) is the fifth most common cancer. Since changes in liver metabolism contribute to liver disease development, it is necessary to build a metabolism-related prognostic model for HCC. METHODS: We constructed a metabolism-related-gene (MRG) signature comprising nine genes, which segregated HCC patients into high- and low-risk groups. RESULTS: The survival rate (overall survival: OS; relapse-free survival; and progression-free survival) of patients in the low-risk group of The Cancer Genome Atlas (TCGA) cohort was significantly higher than that of patients in the high-risk group. The OS prognostic signature was validated in the International Cancer Genome Consortium independent cohort. The corresponding receiver operating characteristic curves of the model indicated that the signature had good diagnostic efficiency, in terms of improving OS over 1, 3, and 5 years. Hierarchical analysis demonstrated that the MRG signature was significantly associated with better prognosis in male patients, patients aged ≤ 65 years, and patients carrying the wild-type TP53 or CTNNB1 genes. A nomogram was established, and good performance and clinical practicability were confirmed. Additionally, using the GSE109211 dataset from the Gene Expression Omnibus database, we were able to verify that the nine genes in this MRG signature had different responses to sorafenib, suggesting that some of these MRGs may act as therapeutic targets for HCC. CONCLUSIONS: We believe that these findings will add value in terms of the diagnosis, treatment, and prognosis of HCC. PeerJ Inc. 2020-09-01 /pmc/articles/PMC7473097/ /pubmed/32953265 http://dx.doi.org/10.7717/peerj.9774 Text en ©2020 Tang 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
Tang, Chaozhi
Ma, Jiakang
Liu, Xiuli
Liu, Zhengchun
Identification of a prognostic signature of nine metabolism-related genes for hepatocellular carcinoma
title Identification of a prognostic signature of nine metabolism-related genes for hepatocellular carcinoma
title_full Identification of a prognostic signature of nine metabolism-related genes for hepatocellular carcinoma
title_fullStr Identification of a prognostic signature of nine metabolism-related genes for hepatocellular carcinoma
title_full_unstemmed Identification of a prognostic signature of nine metabolism-related genes for hepatocellular carcinoma
title_short Identification of a prognostic signature of nine metabolism-related genes for hepatocellular carcinoma
title_sort identification of a prognostic signature of nine metabolism-related genes for hepatocellular carcinoma
topic Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7473097/
https://www.ncbi.nlm.nih.gov/pubmed/32953265
http://dx.doi.org/10.7717/peerj.9774
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