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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
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.
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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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