Cargando…
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...
Autores principales: | , , , |
---|---|
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 |
_version_ | 1783579116593741824 |
---|---|
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. |
format | Online Article Text |
id | pubmed-7473097 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT tangchaozhi identificationofaprognosticsignatureofninemetabolismrelatedgenesforhepatocellularcarcinoma AT majiakang identificationofaprognosticsignatureofninemetabolismrelatedgenesforhepatocellularcarcinoma AT liuxiuli identificationofaprognosticsignatureofninemetabolismrelatedgenesforhepatocellularcarcinoma AT liuzhengchun identificationofaprognosticsignatureofninemetabolismrelatedgenesforhepatocellularcarcinoma |