Summary of Study ST000391

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 PR000305. The data can be accessed directly via it's Project DOI: 10.21228/M8PG66 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 IDST000391
Study TitleMetabolomic markers of altered nucleotide metabolism in early stage adenocarcinoma (part II)
Study SummaryLung cancer has been the leading cause of cancer death in the United States and worldwide for many decades. Low dose spiral computerized tomography (LDCT) is likely to become the first approved screening and early detection test in the upcoming year, but it is plagued by a high false-positive rate. There is a need to develop complementary screening and early detection tools. A blood-based lung cancer signature is an attractive solution. Given that our knowledge of the molecular biology of smoking-induced lung cancer has dramatically increased over the past few years, this approach is plausible. To date, this effort has been focused on the identification of genomic and proteomic signatures with limited success. A broader strategy that incorporates additional cancer traits is needed. It is well recognized that wide coverage of cellular metabolism in cancer could help provide valuable diagnostic biomarkers and potentially identify molecular drivers of tumorigenesis. Recent advances in mass spectrometry have enabled comprehensive metabolomic analyses of lipids, carbohydrates, amino acids, and nucleotides within a variety of biologic matrices. Early evidence from metabolomic investigation of cancer has identified many altered biochemical profiles. However, to date, there have been few investigations of lung cancer, and most studies have looked at blood plasma or were limited by small sample sizes with mixed histologies. In the current investigation, gas chromatography time-offlight mass spectrometry (GC-TOF) was used to measure 462 lipid, carbohydrate, amino acid, organic acid, and nucleotide metabolites in 39 malignant and nonmalignant lung tissue pairs from current or former smokers with early stage adenocarcinoma. This study cohort represents patient characteristics and tumor histology most likely to be detected with LDCT screening. We hypothesize that identification of cancer-induced cellular and tissue level biochemical changes can offer a robust method for identification of candidate circulating biomarkers and improve our understanding of biochemical changes involved in adenocarcinoma tumorigenesis.
University of California, Davis
DepartmentGenome and Biomedical Sciences Facility
LaboratoryWCMC Metabolomics Core
Last NameFiehn
First NameOliver
Address1315 Genome and Biomedical Sciences Facility, 451 Health Sciences Drive, Davis, CA 95616
Phone(530) 754-8258
Submit Date2016-05-06
Publicationsdoi: 10.1158/1940-6207
Raw Data AvailableYes
Raw Data File Type(s)d
Analysis Type DetailLC-MS
Release Date2016-06-18
Release Version2
Release CommentsUpdated study design factors
Oliver Fiehn Oliver Fiehn application/zip

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Combined analysis:

Analysis ID AN000627
Analysis type MS
Chromatography type HILIC
Chromatography system Agilent 6530
Column Waters Acquity BEH HILIC (150 x 2.1mm,1.7um)
MS instrument type QTOF
MS instrument name Agilent 6530A QTOF
Units counts


Chromatography ID:CH000452
Methods Filename:LungNodule_HILIC_Pos_101_AcqMethodReport.pdf
Instrument Name:Agilent 6530
Column Name:Waters Acquity BEH HILIC (150 x 2.1mm,1.7um)
Column Pressure:1200 bar
Column Temperature:45 C
Flow Gradient:100%B to 45% B
Flow Rate:0.4 mL/min
Sample Injection:5uL
Solvent A:100% water; 4 mM acetic acid; 6 mM ammonium acetate
Solvent B:90% acetonitrile/10% water; 4 mM acetic acid; 6 mM ammonium acetate
Analytical Time:20 min
Randomization Order:Excel generated
Chromatography Type:HILIC