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Inference of Subpathway Activity Profiles Reveals Metabolism Abnormal Subpathway Regions in Glioblastoma Multiforme

Glioblastoma, also known as glioblastoma multiforme (GBM), is the most malignant form of glioma and represents 81% of malignant brain and central nervous system (CNS) tumors. Like most cancers, GBM causes metabolic recombination to promote cell survival, proliferation, and invasion of cancer cells....

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Autores principales: Han, Xudong, Wang, Donghua, Zhao, Ping, Liu, Chonghui, Hao, Yue, Chang, Lulu, Zhao, Jiarui, Zhao, Wei, Mu, Lili, Wang, Jinghua, Li, Hulun, Kong, Qingfei, Han, Junwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7533644/
https://www.ncbi.nlm.nih.gov/pubmed/33072547
http://dx.doi.org/10.3389/fonc.2020.01549
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author Han, Xudong
Wang, Donghua
Zhao, Ping
Liu, Chonghui
Hao, Yue
Chang, Lulu
Zhao, Jiarui
Zhao, Wei
Mu, Lili
Wang, Jinghua
Li, Hulun
Kong, Qingfei
Han, Junwei
author_facet Han, Xudong
Wang, Donghua
Zhao, Ping
Liu, Chonghui
Hao, Yue
Chang, Lulu
Zhao, Jiarui
Zhao, Wei
Mu, Lili
Wang, Jinghua
Li, Hulun
Kong, Qingfei
Han, Junwei
author_sort Han, Xudong
collection PubMed
description Glioblastoma, also known as glioblastoma multiforme (GBM), is the most malignant form of glioma and represents 81% of malignant brain and central nervous system (CNS) tumors. Like most cancers, GBM causes metabolic recombination to promote cell survival, proliferation, and invasion of cancer cells. In this study, we propose a method for constructing the metabolic subpathway activity score matrix to accurately identify abnormal targets of GBM metabolism. By integrating gene expression data from different sequencing methods, our method identified 25 metabolic subpathways that were significantly abnormal in the GBM patient population, and most of these subpathways have been reported to have an effect on GBM. Through the analysis of 25 GBM-related metabolic subpathways, we found that (S)-2,3-Epoxysqualene, which was at the central region of the sterol biosynthesis subpathway, may have a greater impact on the entire pathway, suggesting a potential high association with GBM. Analysis of CCK8 cell activity indicated that (S)-2,3-Epoxysqualene can indeed inhibit the activity of U87-MG cells. By flow cytometry, we demonstrated that (S)-2,3-Epoxysqualene not only arrested the U87-MG cell cycle in the G0/G1 phase but also induced cell apoptosis. These results confirm the reliability of our proposed metabolic subpathway identification method and suggest that (S)-2,3-Epoxysqualene has potential therapeutic value for GBM. In order to make the method more broadly applicable, we have developed an R system package crmSubpathway to perform disease-related metabolic subpathway identification and it is freely available on the GitHub (https://github.com/hanjunwei-lab/crmSubpathway).
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spelling pubmed-75336442020-10-15 Inference of Subpathway Activity Profiles Reveals Metabolism Abnormal Subpathway Regions in Glioblastoma Multiforme Han, Xudong Wang, Donghua Zhao, Ping Liu, Chonghui Hao, Yue Chang, Lulu Zhao, Jiarui Zhao, Wei Mu, Lili Wang, Jinghua Li, Hulun Kong, Qingfei Han, Junwei Front Oncol Oncology Glioblastoma, also known as glioblastoma multiforme (GBM), is the most malignant form of glioma and represents 81% of malignant brain and central nervous system (CNS) tumors. Like most cancers, GBM causes metabolic recombination to promote cell survival, proliferation, and invasion of cancer cells. In this study, we propose a method for constructing the metabolic subpathway activity score matrix to accurately identify abnormal targets of GBM metabolism. By integrating gene expression data from different sequencing methods, our method identified 25 metabolic subpathways that were significantly abnormal in the GBM patient population, and most of these subpathways have been reported to have an effect on GBM. Through the analysis of 25 GBM-related metabolic subpathways, we found that (S)-2,3-Epoxysqualene, which was at the central region of the sterol biosynthesis subpathway, may have a greater impact on the entire pathway, suggesting a potential high association with GBM. Analysis of CCK8 cell activity indicated that (S)-2,3-Epoxysqualene can indeed inhibit the activity of U87-MG cells. By flow cytometry, we demonstrated that (S)-2,3-Epoxysqualene not only arrested the U87-MG cell cycle in the G0/G1 phase but also induced cell apoptosis. These results confirm the reliability of our proposed metabolic subpathway identification method and suggest that (S)-2,3-Epoxysqualene has potential therapeutic value for GBM. In order to make the method more broadly applicable, we have developed an R system package crmSubpathway to perform disease-related metabolic subpathway identification and it is freely available on the GitHub (https://github.com/hanjunwei-lab/crmSubpathway). Frontiers Media S.A. 2020-09-11 /pmc/articles/PMC7533644/ /pubmed/33072547 http://dx.doi.org/10.3389/fonc.2020.01549 Text en Copyright © 2020 Han, Wang, Zhao, Liu, Hao, Chang, Zhao, Zhao, Mu, Wang, Li, Kong and Han. http://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
Han, Xudong
Wang, Donghua
Zhao, Ping
Liu, Chonghui
Hao, Yue
Chang, Lulu
Zhao, Jiarui
Zhao, Wei
Mu, Lili
Wang, Jinghua
Li, Hulun
Kong, Qingfei
Han, Junwei
Inference of Subpathway Activity Profiles Reveals Metabolism Abnormal Subpathway Regions in Glioblastoma Multiforme
title Inference of Subpathway Activity Profiles Reveals Metabolism Abnormal Subpathway Regions in Glioblastoma Multiforme
title_full Inference of Subpathway Activity Profiles Reveals Metabolism Abnormal Subpathway Regions in Glioblastoma Multiforme
title_fullStr Inference of Subpathway Activity Profiles Reveals Metabolism Abnormal Subpathway Regions in Glioblastoma Multiforme
title_full_unstemmed Inference of Subpathway Activity Profiles Reveals Metabolism Abnormal Subpathway Regions in Glioblastoma Multiforme
title_short Inference of Subpathway Activity Profiles Reveals Metabolism Abnormal Subpathway Regions in Glioblastoma Multiforme
title_sort inference of subpathway activity profiles reveals metabolism abnormal subpathway regions in glioblastoma multiforme
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7533644/
https://www.ncbi.nlm.nih.gov/pubmed/33072547
http://dx.doi.org/10.3389/fonc.2020.01549
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