Evidence map›Paper›PMID 26156741›Full record

Trial reportThe American journal of clinical nutrition2015

Metabolomics and transcriptomics identify pathway differences between visceral and subcutaneous adipose tissue in colorectal cancer patients: the ColoCare study.

David B Liesenfeld, Dmitry Grapov, Johannes F Fahrmann, Mariam Salou, Dominique Scherer, Reka Toth, Nina Habermann, Jürgen Böhm, Petra Schrotz-King, Biljana Gigic and 7 more

Registry-linked trialOpen access · bronzeAbstract readClinical Trial
In one paragraph

Trial report in The American journal of clinical nutrition, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02328677 (ColoCare Transdisciplinary Research in Colorectal Cancer Prognosis), which is not on this map. Cited by 72 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed, 3 pooled it
5.1field-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.

NCT02328677 recruitingnot on this map

ColoCare Transdisciplinary Research in Colorectal Cancer Prognosis

TypeobservationalSponsorUniversity of UtahRan2007 to 2030Enrolled5,000ConditionsColorectal Cancer
3 · Its place in the literature

Who cites it

72 citing papers in PubMed, 3 syntheses or guidelines pooled it, 124 citations in OpenAlex.

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12 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

17 authors at 4 institutions in 3 countries.

David B LiesenfeldDivision of Preventive Oncology, National Center for Tumor Diseases and German Cancer Research Center, Heidelberg, Germany;
Dmitry GrapovNIH West Coast Metabolomics Center and University of California, Davis, CA;
Johannes F FahrmannNIH West Coast Metabolomics Center and University of California, Davis, CA;
Mariam SalouDivision of Preventive Oncology, National Center for Tumor Diseases and German Cancer Research Center, Heidelberg, Germany;
Dominique SchererDivision of Preventive Oncology, National Center for Tumor Diseases and German Cancer Research Center, Heidelberg, Germany;
Reka TothDivision of Preventive Oncology, National Center for Tumor Diseases and German Cancer Research Center, Heidelberg, Germany;
Nina HabermannDivision of Preventive Oncology, National Center for Tumor Diseases and German Cancer Research Center, Heidelberg, Germany;
Jürgen BöhmDivision of Preventive Oncology, National Center for Tumor Diseases and German Cancer Research Center, Heidelberg, Germany;
Petra Schrotz-KingDivision of Preventive Oncology, National Center for Tumor Diseases and German Cancer Research Center, Heidelberg, Germany;
Biljana GigicDivision of Preventive Oncology, National Center for Tumor Diseases and German Cancer Research Center, Heidelberg, Germany;
Martin SchneiderDepartment of General and Transplantation Surgery, University of Heidelberg, Germany;
Alexis UlrichDepartment of General and Transplantation Surgery, University of Heidelberg, Germany;
Esther HerpelTissue Bank of the National Center for Tumor Diseases, Heidelberg, Germany; Institute of Pathology, University Hospital Heidelberg, Germany;
Peter SchirmacherInstitute of Pathology, University Hospital Heidelberg, Germany;
Oliver FiehnNIH West Coast Metabolomics Center and University of California, Davis, CA;
Johanna W LampeCancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, WA; and.
Cornelia M UlrichDivision of Preventive Oncology, National Center for Tumor Diseases and German Cancer Research Center, Heidelberg, Germany; Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, WA; and Population Sciences, Huntsman Cancer Institute, Salt Lake City, UT neli.ulrich@hci.utah.edu.
German Cancer Research Center · DEHeidelberg University · DEWest Coast University · USCape Town HVTN Immunology Laboratory / Hutchinson Centre Research Institute of South Africa · ZA

Funding

Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Eric Collisson · 1985 to 2026
$296.4M
Transdisciplinary Team Science in Colorectal Cancer Prognosis: the ColoCare StudyU01CA206110 · NCI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Jane C. Figueiredo, Christopher I Li · 2016 to 2026
$18.6M
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 CA015704NCI NIH HHS U01 CA206110NIDDK NIH HHS 1 U24 DK097154
6 · The paper itself

Abstract

backgroundMetabolic and transcriptomic differences between visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) compartments, particularly in the context of obesity, may play a role in colorectal carcinogenesis. We investigated the differential functions of their metabolic compositions.

objectivesBiochemical differences between adipose tissues (VAT compared with SAT) in patients with colorectal carcinoma (CRC) were investigated by using mass spectrometry metabolomics and gene expression profiling. Metabolite compositions were compared between VAT, SAT, and serum metabolites. The relation between patients' tumor stage and metabolic profiles was assessed.

designPresurgery blood and paired VAT and SAT samples during tumor surgery were obtained from 59 CRC patients (tumor stages I-IV) of the ColoCare cohort. Gas chromatography time-of-flight mass spectrometry and liquid chromatography quadrupole time-of-flight mass spectrometry were used to measure 1065 metabolites in adipose tissue (333 identified compounds) and 1810 metabolites in serum (467 identified compounds). Adipose tissue gene expression was measured by using Illumina's HumanHT-12 Expression BeadChips.

resultsCompared with SAT, VAT displayed elevated markers of inflammatory lipid metabolism, free arachidonic acid, phospholipases (PLA2G10), and prostaglandin synthesis-related enzymes (PTGD/PTGS2S). Plasmalogen concentrations were lower in VAT than in SAT, which was supported by lower gene expression of FAR1, the rate-limiting enzyme for ether-lipid synthesis in VAT. Serum sphingomyelin concentrations were inversely correlated (P = 0.0001) with SAT adipose triglycerides. Logistic regression identified lipids in patients' adipose tissues, which were associated with CRC tumor stage.

conclusionsAs one of the first studies, we comprehensively assessed differences in metabolic, lipidomic, and transcriptomic profiles between paired human VAT and SAT and their association with CRC tumor stage. We identified markers of inflammation in VAT, which supports prior evidence regarding the role of visceral adiposity and cancer.

Indexed as

Gene Expression Regulation, NeoplasticAgedBiomarkersCarcinomaCohort StudiesColorectal NeoplasmsFemaleGene Expression ProfilingHumansIntra-Abdominal FatLipid MetabolismMaleMetabolomicsMiddle AgedNeoplasm StagingOligonucleotide Array Sequence AnalysisBiomarkersadipose tissuecolorectal cancerinflammationmetabolomicsobesityvisceral adiposity

Identifiers

PMID26156741
PMCPMC4515859
OpenAlexW2125951903

What OpenQuestion holds

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Registered trials

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.