Summary of Study ST002113

This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench,, where it has been assigned Project ID PR001339. The data can be accessed directly via it's Project DOI: 10.21228/M8N405 This work is supported by NIH grant, U2C- DK119886.


This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.

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Study IDST002113
Study TitleMetabolomic analyses redefine the biological classification of pancreatic cancer: From clinical stage to metabolic subtype
Study SummaryPancreatic ductal adenocarcinoma (PDAC) is characterized by high heterogeneity, and the postoperative prognosis of different patients often varies greatly. Therefore, the classification of pancreatic cancer patients and precise treatment becomes particularly important. In this study, 1H NMR spectroscopy was used to analyze the 76 PDAC serum samples and identify the potential metabolic subtypes. The metabolic characteristics of each metabolic subtype were screened out and the relationship between metabolic subtype and the long-term prognosis was further identified. The clinical stages of PDAC did not show the metabolic differences at the serum metabolomic level. And three metabolic subtypes, basic, choline-like and amino acid-enriched types, were defined by the HCA of the serum metabolites and the disturbed metabolic pathways. The characteristic metabolites of each PDAC subtype were identified, and the metabolite model was established to distinguish the PDAC patients in the different subtypes. Among the three metabolic subtypes, choline-like type displayed better long-term prognosis compared with the other two types of patients. Metabolic subtypes are of clinical importance and can fully express the heterogeneity in the actual life activities of pancreatic cancer. The excavation of metabolic subtypes based on this will be more accurate and in line with clinical reality, so as to guide clinical precision individualization treatment.
Xiamen University
Last NameGuo
First NamePengfei
AddressZengcuoan street
Submit Date2022-03-04
Raw Data AvailableYes
Raw Data File Type(s)fid
Analysis Type DetailNMR
Release Date2022-03-22
Release Version1
Pengfei Guo Pengfei Guo application/zip

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Subject ID:SU002198
Subject Type:Human
Subject Species:Homo sapiens
Taxonomy ID:9606
Age Or Age Range:35-85