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Spatially resolved metabolomics to discover tumor-associated metabolic alterations.


ABSTRACT: 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.

SUBMITTER: Sun C 

PROVIDER: S-EPMC6320512 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature

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Spatially resolved metabolomics to discover tumor-associated metabolic alterations.

Sun Chenglong C   Li Tiegang T   Song Xiaowei X   Huang Luojiao L   Zang Qingce Q   Xu Jing J   Bi Nan N   Jiao Guanggen G   Hao Yanzeng Y   Chen Yanhua Y   Zhang Ruiping R   Luo Zhigang Z   Li Xin X   Wang Luhua L   Wang Zhonghua Z   Song Yongmei Y   He Jiuming J   Abliz Zeper Z  

Proceedings of the National Academy of Sciences of the United States of America 20181217 1


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 met  ...[more]

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