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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
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