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Bulk and single-cell transcriptome profiling reveal the metabolic heterogeneity in gastric cancer
Metabolic reprogramming has been defined as a key hall mark of human tumors. However, metabolic heterogeneity in gastric cancer has not been elucidated. Here we separated the TCGA-STAD dataset into two metabolic subtypes. The differences between subtypes were elaborated in terms of transcriptomics,...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10232450/ https://www.ncbi.nlm.nih.gov/pubmed/37258571 http://dx.doi.org/10.1038/s41598-023-35395-y |
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author | Tao, Guoqiang Wen, Xiangyu Wang, Xingxing Zhou, Qi |
author_facet | Tao, Guoqiang Wen, Xiangyu Wang, Xingxing Zhou, Qi |
author_sort | Tao, Guoqiang |
collection | PubMed |
description | Metabolic reprogramming has been defined as a key hall mark of human tumors. However, metabolic heterogeneity in gastric cancer has not been elucidated. Here we separated the TCGA-STAD dataset into two metabolic subtypes. The differences between subtypes were elaborated in terms of transcriptomics, genomics, tumor-infiltrating cells, and single-cell resolution. We found that metabolic subtype 1 is predominantly characterized by low metabolism, high immune cell infiltration. Subtype 2 is mainly characterized by high metabolism and low immune cell infiltration. From single-cell resolution, we found that the high metabolism of subtype 2 is dominated by epithelial cells. Not only epithelial cells, but also various immune cells and stromal cells showed high metabolism in subtype 2 and low metabolism in subtype 1. Our study established a classification of gastric cancer metabolic subtypes and explored the differences between subtypes from multiple dimensions, especially the single-cell resolution. |
format | Online Article Text |
id | pubmed-10232450 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-102324502023-06-02 Bulk and single-cell transcriptome profiling reveal the metabolic heterogeneity in gastric cancer Tao, Guoqiang Wen, Xiangyu Wang, Xingxing Zhou, Qi Sci Rep Article Metabolic reprogramming has been defined as a key hall mark of human tumors. However, metabolic heterogeneity in gastric cancer has not been elucidated. Here we separated the TCGA-STAD dataset into two metabolic subtypes. The differences between subtypes were elaborated in terms of transcriptomics, genomics, tumor-infiltrating cells, and single-cell resolution. We found that metabolic subtype 1 is predominantly characterized by low metabolism, high immune cell infiltration. Subtype 2 is mainly characterized by high metabolism and low immune cell infiltration. From single-cell resolution, we found that the high metabolism of subtype 2 is dominated by epithelial cells. Not only epithelial cells, but also various immune cells and stromal cells showed high metabolism in subtype 2 and low metabolism in subtype 1. Our study established a classification of gastric cancer metabolic subtypes and explored the differences between subtypes from multiple dimensions, especially the single-cell resolution. Nature Publishing Group UK 2023-05-31 /pmc/articles/PMC10232450/ /pubmed/37258571 http://dx.doi.org/10.1038/s41598-023-35395-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Tao, Guoqiang Wen, Xiangyu Wang, Xingxing Zhou, Qi Bulk and single-cell transcriptome profiling reveal the metabolic heterogeneity in gastric cancer |
title | Bulk and single-cell transcriptome profiling reveal the metabolic heterogeneity in gastric cancer |
title_full | Bulk and single-cell transcriptome profiling reveal the metabolic heterogeneity in gastric cancer |
title_fullStr | Bulk and single-cell transcriptome profiling reveal the metabolic heterogeneity in gastric cancer |
title_full_unstemmed | Bulk and single-cell transcriptome profiling reveal the metabolic heterogeneity in gastric cancer |
title_short | Bulk and single-cell transcriptome profiling reveal the metabolic heterogeneity in gastric cancer |
title_sort | bulk and single-cell transcriptome profiling reveal the metabolic heterogeneity in gastric cancer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10232450/ https://www.ncbi.nlm.nih.gov/pubmed/37258571 http://dx.doi.org/10.1038/s41598-023-35395-y |
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