Cargando…
Spatially resolved metabolomics to discover tumor-associated metabolic alterations
Characterization of tumor metabolism with spatial information contributes to our understanding of complex cancer metabolic reprogramming, facilitating the discovery of potential metabolic vulnerabilities that might be targeted for tumor therapy. However, given the metabolic variability and flexibili...
Autores principales: | , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6320512/ https://www.ncbi.nlm.nih.gov/pubmed/30559182 http://dx.doi.org/10.1073/pnas.1808950116 |
_version_ | 1783385240674238464 |
---|---|
author | Sun, Chenglong Li, Tiegang Song, Xiaowei Huang, Luojiao Zang, Qingce Xu, Jing Bi, Nan Jiao, Guanggen Hao, Yanzeng Chen, Yanhua Zhang, Ruiping Luo, Zhigang Li, Xin Wang, Luhua Wang, Zhonghua Song, Yongmei He, Jiuming Abliz, Zeper |
author_facet | Sun, Chenglong Li, Tiegang Song, Xiaowei Huang, Luojiao Zang, Qingce Xu, Jing Bi, Nan Jiao, Guanggen Hao, Yanzeng Chen, Yanhua Zhang, Ruiping Luo, Zhigang Li, Xin Wang, Luhua Wang, Zhonghua Song, Yongmei He, Jiuming Abliz, Zeper |
author_sort | Sun, Chenglong |
collection | PubMed |
description | Characterization of tumor metabolism with spatial information contributes to our understanding of complex cancer metabolic reprogramming, facilitating the discovery of potential metabolic vulnerabilities that might be targeted for tumor therapy. However, given the metabolic variability and flexibility of tumors, it is still challenging to characterize global metabolic alterations in heterogeneous cancer. Here, we propose a spatially resolved metabolomics approach to discover tumor-associated metabolites and metabolic enzymes directly in their native state. A variety of metabolites localized in different metabolic pathways were mapped by airflow-assisted desorption electrospray ionization mass spectrometry imaging (AFADESI-MSI) in tissues from 256 esophageal cancer patients. In combination with in situ metabolomics analysis, this method provided clues into tumor-associated metabolic pathways, including proline biosynthesis, glutamine metabolism, uridine metabolism, histidine metabolism, fatty acid biosynthesis, and polyamine biosynthesis. Six abnormally expressed metabolic enzymes that are closely associated with the altered metabolic pathways were further discovered in esophageal squamous cell carcinoma (ESCC). Notably, pyrroline-5-carboxylate reductase 2 (PYCR2) and uridine phosphorylase 1 (UPase1) were found to be altered in ESCC. The spatially resolved metabolomics reveal what occurs in cancer at the molecular level, from metabolites to enzymes, and thus provide insights into the understanding of cancer metabolic reprogramming. |
format | Online Article Text |
id | pubmed-6320512 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-63205122019-01-09 Spatially resolved metabolomics to discover tumor-associated metabolic alterations Sun, Chenglong Li, Tiegang Song, Xiaowei Huang, Luojiao Zang, Qingce Xu, Jing Bi, Nan Jiao, Guanggen Hao, Yanzeng Chen, Yanhua Zhang, Ruiping Luo, Zhigang Li, Xin Wang, Luhua Wang, Zhonghua Song, Yongmei He, Jiuming Abliz, Zeper Proc Natl Acad Sci U S A Physical Sciences Characterization of tumor metabolism with spatial information contributes to our understanding of complex cancer metabolic reprogramming, facilitating the discovery of potential metabolic vulnerabilities that might be targeted for tumor therapy. However, given the metabolic variability and flexibility of tumors, it is still challenging to characterize global metabolic alterations in heterogeneous cancer. Here, we propose a spatially resolved metabolomics approach to discover tumor-associated metabolites and metabolic enzymes directly in their native state. A variety of metabolites localized in different metabolic pathways were mapped by airflow-assisted desorption electrospray ionization mass spectrometry imaging (AFADESI-MSI) in tissues from 256 esophageal cancer patients. In combination with in situ metabolomics analysis, this method provided clues into tumor-associated metabolic pathways, including proline biosynthesis, glutamine metabolism, uridine metabolism, histidine metabolism, fatty acid biosynthesis, and polyamine biosynthesis. Six abnormally expressed metabolic enzymes that are closely associated with the altered metabolic pathways were further discovered in esophageal squamous cell carcinoma (ESCC). Notably, pyrroline-5-carboxylate reductase 2 (PYCR2) and uridine phosphorylase 1 (UPase1) were found to be altered in ESCC. The spatially resolved metabolomics reveal what occurs in cancer at the molecular level, from metabolites to enzymes, and thus provide insights into the understanding of cancer metabolic reprogramming. National Academy of Sciences 2019-01-02 2018-12-17 /pmc/articles/PMC6320512/ /pubmed/30559182 http://dx.doi.org/10.1073/pnas.1808950116 Text en Copyright © 2019 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/ This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Physical Sciences Sun, Chenglong Li, Tiegang Song, Xiaowei Huang, Luojiao Zang, Qingce Xu, Jing Bi, Nan Jiao, Guanggen Hao, Yanzeng Chen, Yanhua Zhang, Ruiping Luo, Zhigang Li, Xin Wang, Luhua Wang, Zhonghua Song, Yongmei He, Jiuming Abliz, Zeper Spatially resolved metabolomics to discover tumor-associated metabolic alterations |
title | Spatially resolved metabolomics to discover tumor-associated metabolic alterations |
title_full | Spatially resolved metabolomics to discover tumor-associated metabolic alterations |
title_fullStr | Spatially resolved metabolomics to discover tumor-associated metabolic alterations |
title_full_unstemmed | Spatially resolved metabolomics to discover tumor-associated metabolic alterations |
title_short | Spatially resolved metabolomics to discover tumor-associated metabolic alterations |
title_sort | spatially resolved metabolomics to discover tumor-associated metabolic alterations |
topic | Physical Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6320512/ https://www.ncbi.nlm.nih.gov/pubmed/30559182 http://dx.doi.org/10.1073/pnas.1808950116 |
work_keys_str_mv | AT sunchenglong spatiallyresolvedmetabolomicstodiscovertumorassociatedmetabolicalterations AT litiegang spatiallyresolvedmetabolomicstodiscovertumorassociatedmetabolicalterations AT songxiaowei spatiallyresolvedmetabolomicstodiscovertumorassociatedmetabolicalterations AT huangluojiao spatiallyresolvedmetabolomicstodiscovertumorassociatedmetabolicalterations AT zangqingce spatiallyresolvedmetabolomicstodiscovertumorassociatedmetabolicalterations AT xujing spatiallyresolvedmetabolomicstodiscovertumorassociatedmetabolicalterations AT binan spatiallyresolvedmetabolomicstodiscovertumorassociatedmetabolicalterations AT jiaoguanggen spatiallyresolvedmetabolomicstodiscovertumorassociatedmetabolicalterations AT haoyanzeng spatiallyresolvedmetabolomicstodiscovertumorassociatedmetabolicalterations AT chenyanhua spatiallyresolvedmetabolomicstodiscovertumorassociatedmetabolicalterations AT zhangruiping spatiallyresolvedmetabolomicstodiscovertumorassociatedmetabolicalterations AT luozhigang spatiallyresolvedmetabolomicstodiscovertumorassociatedmetabolicalterations AT lixin spatiallyresolvedmetabolomicstodiscovertumorassociatedmetabolicalterations AT wangluhua spatiallyresolvedmetabolomicstodiscovertumorassociatedmetabolicalterations AT wangzhonghua spatiallyresolvedmetabolomicstodiscovertumorassociatedmetabolicalterations AT songyongmei spatiallyresolvedmetabolomicstodiscovertumorassociatedmetabolicalterations AT hejiuming spatiallyresolvedmetabolomicstodiscovertumorassociatedmetabolicalterations AT ablizzeper spatiallyresolvedmetabolomicstodiscovertumorassociatedmetabolicalterations |