Cargando…
Integrated analysis reveals critical glycolytic regulators in hepatocellular carcinoma
BACKGROUND: Cancer cells primarily utilize aerobic glycolysis for energy production, a phenomenon known as the Warburg effect. Increased aerobic glycolysis supports cancer cell survival and rapid proliferation and predicts a poor prognosis in cancer patients. METHODS: Molecular profiles from The Can...
Autores principales: | , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7310503/ https://www.ncbi.nlm.nih.gov/pubmed/32576292 http://dx.doi.org/10.1186/s12964-020-00539-4 |
_version_ | 1783549377336311808 |
---|---|
author | Lu, Chenying Fang, Shiji Weng, Qiaoyou Lv, Xiuling Meng, Miaomiao Zhu, Jinyu Zheng, Liyun Hu, Yumin Gao, Yang Wu, Xulu Mao, Jianting Tang, Bufu Zhao, Zhongwei Huang, Li Ji, Jiansong |
author_facet | Lu, Chenying Fang, Shiji Weng, Qiaoyou Lv, Xiuling Meng, Miaomiao Zhu, Jinyu Zheng, Liyun Hu, Yumin Gao, Yang Wu, Xulu Mao, Jianting Tang, Bufu Zhao, Zhongwei Huang, Li Ji, Jiansong |
author_sort | Lu, Chenying |
collection | PubMed |
description | BACKGROUND: Cancer cells primarily utilize aerobic glycolysis for energy production, a phenomenon known as the Warburg effect. Increased aerobic glycolysis supports cancer cell survival and rapid proliferation and predicts a poor prognosis in cancer patients. METHODS: Molecular profiles from The Cancer Genome Atlas (TCGA) cohort were used to analyze the prognostic value of glycolysis gene signature in human cancers. Gain- and loss-of-function studies were performed to key drivers implicated in hepatocellular carcinoma (HCC) glycolysis. The molecular mechanisms underlying Osteopontin (OPN)-mediated glycolysis were investigated by real-time qPCR, western blotting, immunohistochemistry, luciferase reporter assay, and xenograft and diethyl-nitrosamine (DEN)-induced HCC mouse models. RESULTS: Increased glycolysis predicts adverse clinical outcome in many types of human cancers, especially HCC. Then, we identified a handful of differentially expressed genes related to HCC glycolysis. Gain- and loss-of-function studies showed that OPN promotes, while SPP2, LECT2, SLC10A1, CYP3A4, HSD17B13, and IYD inhibit HCC cell glycolysis as revealed by glucose utilization, lactate production, and extracellular acidification ratio. These glycolysis-related genes exhibited significant tumor-promoting or tumor suppressive effect on HCC cells and these effects were glycolysis-dependent. Mechanistically, OPN enhanced HCC glycolysis by activating the αvβ3-NF-κB signaling. Genetic or pharmacological blockade of OPN-αvβ3 axis suppressed HCC glycolysis in xenograft tumor model and hepatocarcinogenesis induced by DEN. CONCLUSIONS: Our findings reveal crucial determinants for controlling the Warburg metabolism in HCC cells and provide a new insight into the oncogenic roles of OPN in HCC. |
format | Online Article Text |
id | pubmed-7310503 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-73105032020-06-23 Integrated analysis reveals critical glycolytic regulators in hepatocellular carcinoma Lu, Chenying Fang, Shiji Weng, Qiaoyou Lv, Xiuling Meng, Miaomiao Zhu, Jinyu Zheng, Liyun Hu, Yumin Gao, Yang Wu, Xulu Mao, Jianting Tang, Bufu Zhao, Zhongwei Huang, Li Ji, Jiansong Cell Commun Signal Research BACKGROUND: Cancer cells primarily utilize aerobic glycolysis for energy production, a phenomenon known as the Warburg effect. Increased aerobic glycolysis supports cancer cell survival and rapid proliferation and predicts a poor prognosis in cancer patients. METHODS: Molecular profiles from The Cancer Genome Atlas (TCGA) cohort were used to analyze the prognostic value of glycolysis gene signature in human cancers. Gain- and loss-of-function studies were performed to key drivers implicated in hepatocellular carcinoma (HCC) glycolysis. The molecular mechanisms underlying Osteopontin (OPN)-mediated glycolysis were investigated by real-time qPCR, western blotting, immunohistochemistry, luciferase reporter assay, and xenograft and diethyl-nitrosamine (DEN)-induced HCC mouse models. RESULTS: Increased glycolysis predicts adverse clinical outcome in many types of human cancers, especially HCC. Then, we identified a handful of differentially expressed genes related to HCC glycolysis. Gain- and loss-of-function studies showed that OPN promotes, while SPP2, LECT2, SLC10A1, CYP3A4, HSD17B13, and IYD inhibit HCC cell glycolysis as revealed by glucose utilization, lactate production, and extracellular acidification ratio. These glycolysis-related genes exhibited significant tumor-promoting or tumor suppressive effect on HCC cells and these effects were glycolysis-dependent. Mechanistically, OPN enhanced HCC glycolysis by activating the αvβ3-NF-κB signaling. Genetic or pharmacological blockade of OPN-αvβ3 axis suppressed HCC glycolysis in xenograft tumor model and hepatocarcinogenesis induced by DEN. CONCLUSIONS: Our findings reveal crucial determinants for controlling the Warburg metabolism in HCC cells and provide a new insight into the oncogenic roles of OPN in HCC. BioMed Central 2020-06-23 /pmc/articles/PMC7310503/ /pubmed/32576292 http://dx.doi.org/10.1186/s12964-020-00539-4 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Lu, Chenying Fang, Shiji Weng, Qiaoyou Lv, Xiuling Meng, Miaomiao Zhu, Jinyu Zheng, Liyun Hu, Yumin Gao, Yang Wu, Xulu Mao, Jianting Tang, Bufu Zhao, Zhongwei Huang, Li Ji, Jiansong Integrated analysis reveals critical glycolytic regulators in hepatocellular carcinoma |
title | Integrated analysis reveals critical glycolytic regulators in hepatocellular carcinoma |
title_full | Integrated analysis reveals critical glycolytic regulators in hepatocellular carcinoma |
title_fullStr | Integrated analysis reveals critical glycolytic regulators in hepatocellular carcinoma |
title_full_unstemmed | Integrated analysis reveals critical glycolytic regulators in hepatocellular carcinoma |
title_short | Integrated analysis reveals critical glycolytic regulators in hepatocellular carcinoma |
title_sort | integrated analysis reveals critical glycolytic regulators in hepatocellular carcinoma |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7310503/ https://www.ncbi.nlm.nih.gov/pubmed/32576292 http://dx.doi.org/10.1186/s12964-020-00539-4 |
work_keys_str_mv | AT luchenying integratedanalysisrevealscriticalglycolyticregulatorsinhepatocellularcarcinoma AT fangshiji integratedanalysisrevealscriticalglycolyticregulatorsinhepatocellularcarcinoma AT wengqiaoyou integratedanalysisrevealscriticalglycolyticregulatorsinhepatocellularcarcinoma AT lvxiuling integratedanalysisrevealscriticalglycolyticregulatorsinhepatocellularcarcinoma AT mengmiaomiao integratedanalysisrevealscriticalglycolyticregulatorsinhepatocellularcarcinoma AT zhujinyu integratedanalysisrevealscriticalglycolyticregulatorsinhepatocellularcarcinoma AT zhengliyun integratedanalysisrevealscriticalglycolyticregulatorsinhepatocellularcarcinoma AT huyumin integratedanalysisrevealscriticalglycolyticregulatorsinhepatocellularcarcinoma AT gaoyang integratedanalysisrevealscriticalglycolyticregulatorsinhepatocellularcarcinoma AT wuxulu integratedanalysisrevealscriticalglycolyticregulatorsinhepatocellularcarcinoma AT maojianting integratedanalysisrevealscriticalglycolyticregulatorsinhepatocellularcarcinoma AT tangbufu integratedanalysisrevealscriticalglycolyticregulatorsinhepatocellularcarcinoma AT zhaozhongwei integratedanalysisrevealscriticalglycolyticregulatorsinhepatocellularcarcinoma AT huangli integratedanalysisrevealscriticalglycolyticregulatorsinhepatocellularcarcinoma AT jijiansong integratedanalysisrevealscriticalglycolyticregulatorsinhepatocellularcarcinoma |