Evidence map›Paper›PMID 25657018›Full record

ArticleCancer prevention research (Philadelphia, Pa.)2015

Metabolomic markers of altered nucleotide metabolism in early stage adenocarcinoma.

William R Wikoff, Dmitry Grapov, Johannes F Fahrmann, Brian DeFelice, William N Rom, Harvey I Pass, Kyoungmi Kim, UyenThao Nguyen, Sandra L Taylor, David R Gandara and 3 more

Open access · greenAbstract read
In one paragraph

Article in Cancer prevention research (Philadelphia, Pa.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed
4.8field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

61 citing papers in PubMed, 101 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Observational
  5. [Applications and Advances of Metabolomics in Lung Cancer Research].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2025
    Review
  6. Decoding the mechanisms behind second primary cancers.Journal of translational medicine · 2025
    Review
  7. Plant Metabolomics: The Future of Anticancer Drug Discovery.Pharmaceuticals (Basel, Switzerland) · 2024
    Review
  8. Article
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  14. Review
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1 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 1 institution in 1 country.

William R WikoffUniversity of California, Davis Genome Center, Davis, California.
Dmitry GrapovUniversity of California, Davis Genome Center, Davis, California.
Johannes F FahrmannUniversity of California, Davis Genome Center, Davis, California.
Brian DeFeliceUniversity of California, Davis Genome Center, Davis, California.
William N RomDivision of Pulmonary, Critical Care and Sleep, New York University, School of Medicine New York, New York.
Harvey I PassDivision of Thoracic Surgery, Department of Cardiothoracic Surgery, Langone Medical Center, New York University, New York, New York.
Kyoungmi KimDivision of Biostatistics, Department of Public Health Sciences, School of Medicine, University of California Davis, Davis, California.
UyenThao NguyenDivision of Biostatistics, Department of Public Health Sciences, School of Medicine, University of California Davis, Davis, California.
Sandra L TaylorDivision of Biostatistics, Department of Public Health Sciences, School of Medicine, University of California Davis, Davis, California.
David R GandaraUniversity of California, Davis Genome Center, Davis, California. Division of Pulmonary, Critical Care and Sleep, New York University, School of Medicine New York, New York. Division of Thoracic Surgery, Department of Cardiothoracic Surgery, Langone Medical Center, New York University, New York, New York. Division of Biostatistics, Department of Public Health Sciences, School of Medicine, University of California Davis, Davis, California. Division of Hematology and Oncology, Department of Internal Medicine, School of Medicine, University of California, Davis Medical Center, Sacramento, California. Department of Biochemistry, Faculty of Sciences, King Abdulaziz University, Jeddah, Saudi-Arabia.
Karen KellyDivision of Hematology and Oncology, Department of Internal Medicine, School of Medicine, University of California, Davis Medical Center, Sacramento, California.
Oliver FiehnUniversity of California, Davis Genome Center, Davis, California. Department of Biochemistry, Faculty of Sciences, King Abdulaziz University, Jeddah, Saudi-Arabia.
Suzanne MiyamotoDivision of Hematology and Oncology, Department of Internal Medicine, School of Medicine, University of California, Davis Medical Center, Sacramento, California. smiyamoto@ucdavis.edu.
University of California, Davis · US

Funding

Vaccine FacilityP30CA016087 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ANIRBAN MAITRA · 1985 to 2026
$83.1M
West Coast Central Comprehensive Metabolomics Resource Core (WC3MRC)U24DK097154 · NIDDK · UNIVERSITY OF CALIFORNIA AT DAVIS · PI FIEHN, OLIVER · 2012 to 2017
$9.9M
NCI NIH HHS P30 CA016087NIDDK NIH HHS 1 U24 DK097154NIDDK NIH HHS U24 DK097154
6 · The paper itself

Abstract

Adenocarcinoma, a type of non-small cell lung cancer, is the most frequently diagnosed lung cancer and the leading cause of lung cancer mortality in the United States. It is well documented that biochemical changes occur early in the transition from normal to cancer cells, but the extent to which these alterations affect tumorigenesis in adenocarcinoma remains largely unknown. Herein, we describe the application of mass spectrometry and multivariate statistical analysis in one of the largest biomarker research studies to date aimed at distinguishing metabolic differences between malignant and nonmalignant lung tissue. Gas chromatography time-of-flight mass spectrometry was used to measure 462 metabolites in 39 malignant and nonmalignant lung tissue pairs from current or former smokers with early stage (stage IA-IB) adenocarcinoma. Statistical mixed effects models, orthogonal partial least squares discriminant analysis and network integration, were used to identify key cancer-associated metabolic perturbations in adenocarcinoma compared with nonmalignant tissue. Cancer-associated biochemical alterations were characterized by (i) decreased glucose levels, consistent with the Warburg effect, (ii) changes in cellular redox status highlighted by elevations in cysteine and antioxidants, alpha- and gamma-tocopherol, (iii) elevations in nucleotide metabolites 5,6-dihydrouracil and xanthine suggestive of increased dihydropyrimidine dehydrogenase and xanthine oxidoreductase activity, (iv) increased 5'-deoxy-5'-methylthioadenosine levels indicative of reduced purine salvage and increased de novo purine synthesis, and (v) coordinated elevations in glutamate and UDP-N-acetylglucosamine suggesting increased protein glycosylation. The present study revealed distinct metabolic perturbations associated with early stage lung adenocarcinoma, which may provide candidate molecular targets for personalizing therapeutic interventions and treatment efficacy monitoring.

Indexed as

Metabolic Networks and PathwaysMetabolomeAdenocarcinomaAdenocarcinoma of LungAgedAged, 80 and overBiomarkers, TumorEarly DiagnosisFemaleGas Chromatography-Mass SpectrometryHumansLung NeoplasmsMaleMetabolomicsMiddle AgedNeoplasm StagingBiomarkers, TumorNucleotides

Identifiers

PMID25657018
PMCPMC4618700
OpenAlexW2100963171

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.