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Development of an Aerobic Glycolysis Index for Predicting the Sorafenib Sensitivity and Prognosis of Hepatocellular Carcinoma
Hepatocellular carcinoma (HCC) is a deadly tumor with high heterogeneity. Aerobic glycolysis is a common indicator of tumor growth and plays a key role in tumorigenesis. Heterogeneity in distinct metabolic pathways can be used to stratify HCC into clinically relevant subgroups, but these have not ye...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8169983/ https://www.ncbi.nlm.nih.gov/pubmed/34094917 http://dx.doi.org/10.3389/fonc.2021.637971 |
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author | Pan, Yu Hu, Geng-yuan Jiang, Shi Xia, Shun-jie Maher, Hendi Lin, Zhong-jie Mao, Qi-jiang Zhao, Jie Cai, Liu-xin Xu, Ying-hua Xu, Jun-jie Cai, Xiu-jun |
author_facet | Pan, Yu Hu, Geng-yuan Jiang, Shi Xia, Shun-jie Maher, Hendi Lin, Zhong-jie Mao, Qi-jiang Zhao, Jie Cai, Liu-xin Xu, Ying-hua Xu, Jun-jie Cai, Xiu-jun |
author_sort | Pan, Yu |
collection | PubMed |
description | Hepatocellular carcinoma (HCC) is a deadly tumor with high heterogeneity. Aerobic glycolysis is a common indicator of tumor growth and plays a key role in tumorigenesis. Heterogeneity in distinct metabolic pathways can be used to stratify HCC into clinically relevant subgroups, but these have not yet been well-established. In this study, we constructed a model called aerobic glycolysis index (AGI) as a marker of aerobic glycolysis using genomic data of hepatocellular carcinoma from The Cancer Genome Atlas (TCGA) project. Our results showed that this parameter inferred enhanced aerobic glycolysis activity in tumor tissues. Furthermore, high AGI is associated with poor tumor differentiation and advanced stages and could predict poor prognosis including reduced overall survival and disease-free survival. More importantly, the AGI could accurately predict tumor sensitivity to Sorafenib therapy. Therefore, the AGI may be a promising biomarker that can accurately stratify patients and improve their treatment efficacy. |
format | Online Article Text |
id | pubmed-8169983 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-81699832021-06-03 Development of an Aerobic Glycolysis Index for Predicting the Sorafenib Sensitivity and Prognosis of Hepatocellular Carcinoma Pan, Yu Hu, Geng-yuan Jiang, Shi Xia, Shun-jie Maher, Hendi Lin, Zhong-jie Mao, Qi-jiang Zhao, Jie Cai, Liu-xin Xu, Ying-hua Xu, Jun-jie Cai, Xiu-jun Front Oncol Oncology Hepatocellular carcinoma (HCC) is a deadly tumor with high heterogeneity. Aerobic glycolysis is a common indicator of tumor growth and plays a key role in tumorigenesis. Heterogeneity in distinct metabolic pathways can be used to stratify HCC into clinically relevant subgroups, but these have not yet been well-established. In this study, we constructed a model called aerobic glycolysis index (AGI) as a marker of aerobic glycolysis using genomic data of hepatocellular carcinoma from The Cancer Genome Atlas (TCGA) project. Our results showed that this parameter inferred enhanced aerobic glycolysis activity in tumor tissues. Furthermore, high AGI is associated with poor tumor differentiation and advanced stages and could predict poor prognosis including reduced overall survival and disease-free survival. More importantly, the AGI could accurately predict tumor sensitivity to Sorafenib therapy. Therefore, the AGI may be a promising biomarker that can accurately stratify patients and improve their treatment efficacy. Frontiers Media S.A. 2021-05-18 /pmc/articles/PMC8169983/ /pubmed/34094917 http://dx.doi.org/10.3389/fonc.2021.637971 Text en Copyright © 2021 Pan, Hu, Jiang, Xia, Maher, Lin, Mao, Zhao, Cai, Xu, Xu and Cai. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Pan, Yu Hu, Geng-yuan Jiang, Shi Xia, Shun-jie Maher, Hendi Lin, Zhong-jie Mao, Qi-jiang Zhao, Jie Cai, Liu-xin Xu, Ying-hua Xu, Jun-jie Cai, Xiu-jun Development of an Aerobic Glycolysis Index for Predicting the Sorafenib Sensitivity and Prognosis of Hepatocellular Carcinoma |
title | Development of an Aerobic Glycolysis Index for Predicting the Sorafenib Sensitivity and Prognosis of Hepatocellular Carcinoma |
title_full | Development of an Aerobic Glycolysis Index for Predicting the Sorafenib Sensitivity and Prognosis of Hepatocellular Carcinoma |
title_fullStr | Development of an Aerobic Glycolysis Index for Predicting the Sorafenib Sensitivity and Prognosis of Hepatocellular Carcinoma |
title_full_unstemmed | Development of an Aerobic Glycolysis Index for Predicting the Sorafenib Sensitivity and Prognosis of Hepatocellular Carcinoma |
title_short | Development of an Aerobic Glycolysis Index for Predicting the Sorafenib Sensitivity and Prognosis of Hepatocellular Carcinoma |
title_sort | development of an aerobic glycolysis index for predicting the sorafenib sensitivity and prognosis of hepatocellular carcinoma |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8169983/ https://www.ncbi.nlm.nih.gov/pubmed/34094917 http://dx.doi.org/10.3389/fonc.2021.637971 |
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