Development of an Aerobic Glycolysis Index for Predicting the Sorafenib Sensitivity and Prognosis of Hepatocellular Carcinoma.

Frontiers in Oncology
Yu PanXiu-Jun Cai

Abstract

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.

References

Dec 26, 2001·The Journal of Biological Chemistry·John G PastorinoJan B Hoek
Nov 23, 2007·Proceedings of the National Academy of Sciences of the United States of America·Ralph J DeBerardinisCraig B Thompson
Jun 10, 2008·Cancer Cell·Guido Kroemer, Jacques Pouyssegur
Jul 25, 2008·The New England Journal of Medicine·Josep M LlovetUNKNOWN SHARP Investigators Study Group
Mar 7, 1927·The Journal of General Physiology·O WarburgE Negelein
Sep 20, 2011·European Journal of Pharmacology·Luigi FiumeGiuseppina Di Stefano
Oct 21, 2011·Journal of Gastroenterology and Hepatology·Koji MiyaharaKazuhide Yamamoto
Nov 22, 2011·Liver International : Official Journal of the International Association for the Study of the Liver·Takehiro NodaHiroaki Nagano
May 12, 2012·Hepatology : Official Journal of the American Association for the Study of Liver Diseases·Sasan RoayaieVincenzo Mazzaferro
Aug 15, 2012·Hepatology : Official Journal of the American Association for the Study of Liver Diseases·Tokuzo AraoMasatoshi Kudo
May 9, 2014·The Journal of Histochemistry and Cytochemistry : Official Journal of the Histochemistry Society·Benedek GyöngyösiAndrás Kiss
Jul 22, 2014·Liver International : Official Journal of the International Association for the Study of the Liver·Valentina VairaSilvano Bosari
Dec 10, 2014·Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology·Calin CainapSaied El-Nowiem
Oct 30, 2015·Expert Opinion on Pharmacotherapy·Andrea Casadei GardiniGiovanni Luca Frassineti
Sep 27, 2016·International Journal of Cancer. Journal International Du Cancer·Junjie XuChawnshang Chang
Sep 30, 2016·Journal of Hepatology·Alessandro VitaleTimothy M Pawlik
Mar 16, 2017·Iranian Journal of Basic Medical Sciences·Zhixiong FangZhiwei Zhang
Sep 1, 2017·International Journal of Cancer. Journal International Du Cancer·Sainan LiChuanyong Guo
Sep 20, 2017·British Journal of Cancer·Sainan LiChuanyong Guo
Oct 11, 2017·Journal of Cellular and Molecular Medicine·José Javier LópezPedro Cosme Redondo
Nov 25, 2017·Journal of Experimental & Clinical Cancer Research : CR·Xin YinZheng-Gang Ren
Jan 24, 2018·Biochemical and Biophysical Research Communications·Shengni HuaDehua Wu
May 12, 2018·Current Cancer Drug Targets·A P AlvesC J Maia
May 16, 2018·American Journal of Physiology. Endocrinology and Metabolism·Tongxin WangFeiruo Huang
Oct 14, 2018·Experimental & Molecular Medicine·Carolina Méndez-BlancoJosé L Mauriz

❮ Previous
Next ❯

Software Mentioned

Gene Set Enrichment Analysis ( GSEA
GSEA
GISTIC
R package “ GSEAbase
LASSO
R
Gene Set Variation Analysis ( GSVA )
R package “ GSVA

Related Concepts

Related Feeds

Cancer Genomics (Keystone)

Cancer genomics approaches employ high-throughput technologies to identify the complete catalog of somatic alterations that characterize the genome, transcriptome and epigenome of cohorts of tumor samples. Discover the latest research using such technologies in this feed.