Cargando…
Identification of four gastric cancer subtypes based on genetic analysis of cholesterogenic and glycolytic pathways
Warburg phenomenon refers to the development of unique metabolic patterns during the growth of tumor cells. This study stratified gastric cancer into prognostic metabolic subgroups according to changes in gene expressions related to glycolysis and cholesterol synthesis. The RNA-seq expression data,...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8806458/ https://www.ncbi.nlm.nih.gov/pubmed/34346836 http://dx.doi.org/10.1080/21655979.2021.1956247 |
_version_ | 1784643452596649984 |
---|---|
author | Zhu, Zhou Qin, Jian Dong, Chencheng Yang, Jin Yang, Maughan Tian, Jana Zhong, Xiaogang |
author_facet | Zhu, Zhou Qin, Jian Dong, Chencheng Yang, Jin Yang, Maughan Tian, Jana Zhong, Xiaogang |
author_sort | Zhu, Zhou |
collection | PubMed |
description | Warburg phenomenon refers to the development of unique metabolic patterns during the growth of tumor cells. This study stratified gastric cancer into prognostic metabolic subgroups according to changes in gene expressions related to glycolysis and cholesterol synthesis. The RNA-seq expression data, single nucleotide variants (SNV), short insertions and deletions (InDel) mutation data, copy number variation (CNV) data and clinical follow-up information data of gastric cancer tissues were downloaded from The Cancer Genome Atlas (TCGA) database. ConsensusClusterPlus was used to stratify the metabolic subtypes of gastric cancer. Four metabolic subtypes (Cholesterogenic, Glycolytic, Mixed and Quiescent) of gastric cancer were identified, and patients with cholesterogenic tumors had the longest disease-specific survival (DSS). Genome-wide analysis showed that aberrant amplification of TP53 and MYC in gastric cancer was associated with abnormal cholesterol anabolic metabolism. The mRNA levels of mitochondrial pyruvate carriers 1 and 2 (MPC1/2) differed among the four subtypes. Tumors in the glycolytic group showed a higher PDCD1. A genomic signature based on tumor metabolism of different cancer types was established. This study showed that genes related to glucose and lipid metabolism play an important role in gastric cancer and facilitate a personalized treatment of gastric cancer. |
format | Online Article Text |
id | pubmed-8806458 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-88064582022-02-02 Identification of four gastric cancer subtypes based on genetic analysis of cholesterogenic and glycolytic pathways Zhu, Zhou Qin, Jian Dong, Chencheng Yang, Jin Yang, Maughan Tian, Jana Zhong, Xiaogang Bioengineered Research Paper Warburg phenomenon refers to the development of unique metabolic patterns during the growth of tumor cells. This study stratified gastric cancer into prognostic metabolic subgroups according to changes in gene expressions related to glycolysis and cholesterol synthesis. The RNA-seq expression data, single nucleotide variants (SNV), short insertions and deletions (InDel) mutation data, copy number variation (CNV) data and clinical follow-up information data of gastric cancer tissues were downloaded from The Cancer Genome Atlas (TCGA) database. ConsensusClusterPlus was used to stratify the metabolic subtypes of gastric cancer. Four metabolic subtypes (Cholesterogenic, Glycolytic, Mixed and Quiescent) of gastric cancer were identified, and patients with cholesterogenic tumors had the longest disease-specific survival (DSS). Genome-wide analysis showed that aberrant amplification of TP53 and MYC in gastric cancer was associated with abnormal cholesterol anabolic metabolism. The mRNA levels of mitochondrial pyruvate carriers 1 and 2 (MPC1/2) differed among the four subtypes. Tumors in the glycolytic group showed a higher PDCD1. A genomic signature based on tumor metabolism of different cancer types was established. This study showed that genes related to glucose and lipid metabolism play an important role in gastric cancer and facilitate a personalized treatment of gastric cancer. Taylor & Francis 2021-08-04 /pmc/articles/PMC8806458/ /pubmed/34346836 http://dx.doi.org/10.1080/21655979.2021.1956247 Text en © 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Paper Zhu, Zhou Qin, Jian Dong, Chencheng Yang, Jin Yang, Maughan Tian, Jana Zhong, Xiaogang Identification of four gastric cancer subtypes based on genetic analysis of cholesterogenic and glycolytic pathways |
title | Identification of four gastric cancer subtypes based on genetic analysis of cholesterogenic and glycolytic pathways |
title_full | Identification of four gastric cancer subtypes based on genetic analysis of cholesterogenic and glycolytic pathways |
title_fullStr | Identification of four gastric cancer subtypes based on genetic analysis of cholesterogenic and glycolytic pathways |
title_full_unstemmed | Identification of four gastric cancer subtypes based on genetic analysis of cholesterogenic and glycolytic pathways |
title_short | Identification of four gastric cancer subtypes based on genetic analysis of cholesterogenic and glycolytic pathways |
title_sort | identification of four gastric cancer subtypes based on genetic analysis of cholesterogenic and glycolytic pathways |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8806458/ https://www.ncbi.nlm.nih.gov/pubmed/34346836 http://dx.doi.org/10.1080/21655979.2021.1956247 |
work_keys_str_mv | AT zhuzhou identificationoffourgastriccancersubtypesbasedongeneticanalysisofcholesterogenicandglycolyticpathways AT qinjian identificationoffourgastriccancersubtypesbasedongeneticanalysisofcholesterogenicandglycolyticpathways AT dongchencheng identificationoffourgastriccancersubtypesbasedongeneticanalysisofcholesterogenicandglycolyticpathways AT yangjin identificationoffourgastriccancersubtypesbasedongeneticanalysisofcholesterogenicandglycolyticpathways AT yangmaughan identificationoffourgastriccancersubtypesbasedongeneticanalysisofcholesterogenicandglycolyticpathways AT tianjana identificationoffourgastriccancersubtypesbasedongeneticanalysisofcholesterogenicandglycolyticpathways AT zhongxiaogang identificationoffourgastriccancersubtypesbasedongeneticanalysisofcholesterogenicandglycolyticpathways |