Summary of project PR000750

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 PR000750. The data can be accessed directly via it's Project DOI: 10.21228/M8QX2G This work is supported by NIH grant, U2C- DK119886.


Project ID: PR000750
Project DOI:doi: 10.21228/M8QX2G
Project Title:Quantification of microenvironmental metabolites in murine cancers reveals determinants of tumor nutrient availability
Project Summary:Cancer cell metabolism is heavily influenced by microenvironmental factors, including nutrient availability. Therefore, knowledge of microenvironmental nutrient levels is essential to understand tumor metabolism. To measure the extracellular nutrient levels available to tumors, we developed a quantitative metabolomics method to measure the absolute concentrations of >118 metabolites in plasma and tumor interstitial fluid, the extracellular fluid that perfuses tumors. Comparison of nutrient levels in tumor interstitial fluid and plasma revealed that the nutrients available to tumors differ from those present in circulation. Further, by comparing interstitial fluid nutrient levels between autochthonous and transplant models of murine pancreatic and lung adenocarcinoma, we found that tumor type, anatomical location and animal diet affect local nutrient availability. These data provide a comprehensive characterization of the nutrients present in the tumor microenvironment of widely used models of lung and pancreatic cancer and identify factors that influence metabolite levels in tumors.
Institute:University of Chicago
Last Name:Muir
First Name:Alexander
Address:929 E 57th St. GCIS W 306, Chicago, Illinois, 60637, USA

Summary of all studies in project PR000750

Study IDStudy TitleSpeciesInstituteAnalysis
(* : Contains Untargted data)
(* : Contains raw data)
ST001119 Quantification of microenvironmental metabolites in murine cancers reveals determinants of tumor nutrient availability Mus musculus University of Chicago MS 2019-03-06 1 122 Uploaded data (8.2G)*