Evidence map›Paper›PMID 18799019›Full record

ArticleMolecular cancer2008

Metabolite profiling of human colon carcinoma--deregulation of TCA cycle and amino acid turnover.

Carsten Denkert, Jan Budczies, Wilko Weichert, Gert Wohlgemuth, Martin Scholz, Tobias Kind, Silvia Niesporek, Aurelia Noske, Anna Buckendahl, Manfred Dietel and 1 more

Open access · goldAbstract read
In one paragraph

Article in Molecular cancer, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 139 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
139citing papers in PubMed, 3 pooled it
10.1field-weighted citation impact, top 1% 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

139 citing papers in PubMed, 3 syntheses or guidelines pooled it, 317 citations in OpenAlex.

  1. Colorectal neoplasia-specific amino acid profiles and their diagnostic potential: a systematic review.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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  19. Relationship between [Metabolomics : Official journal of the Metabolomic Society · 2022
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79 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

11 authors at 3 institutions in 2 countries.

Carsten DenkertInstitute of Pathology, Charité University Hospital, 10117 Berlin, Germany. carsten.denkert@charite.de
Jan Budczies
Wilko Weichert
Gert Wohlgemuth
Martin Scholz
Tobias Kind
Silvia Niesporek
Aurelia Noske
Anna Buckendahl
Manfred Dietel
Oliver Fiehn
Charité - Universitätsmedizin Berlin · DEUniversity of California, Davis · USDAK-Gesundheit (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundApart from genetic alterations, development and progression of colorectal cancer has been linked to influences from nutritional intake, hyperalimentation, and cellular metabolic changes that may be the basis for new diagnostic and therapeutic approaches. However, in contrast to genomics and proteomics, comprehensive metabolomic investigations of alterations in malignant tumors have rarely been conducted.

resultsIn this study we investigated a set of paired samples of normal colon tissue and colorectal cancer tissue with gas-chromatography time-of-flight mass-spectrometry, which resulted in robust detection of a total of 206 metabolites. Metabolic phenotypes of colon cancer and normal tissues were different at a Bonferroni corrected significance level of p=0.00170 and p=0.00005 for the first two components of an unsupervised PCA analysis. Subsequent supervised analysis found 82 metabolites to be significantly different at p<0.01. Metabolites were connected to abnormalities in metabolic pathways by a new approach that calculates the distance of each pair of metabolites in the KEGG database interaction lattice. Intermediates of the TCA cycle and lipids were found down-regulated in cancer, whereas urea cycle metabolites, purines, pyrimidines and amino acids were generally found at higher levels compared to normal colon mucosa.

conclusionThis study demonstrates that metabolic profiling facilitates biochemical phenotyping of normal and neoplastic colon tissue at high significance levels and points to GC-TOF-based metabolomics as a new method for molecular pathology investigations.

Indexed as

Citric Acid CycleAmino AcidsBiopsyChromatography, GasCluster AnalysisColonic NeoplasmsDatabase Management SystemsHumansMultigene FamilyAmino Acids

Identifiers

PMID18799019
PMCPMC2569965
OpenAlexW2047905571

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.