Evidence map›Paper›PMID 26817443›Full record

ArticleBMC medicine2016

Higher plasma levels of lysophosphatidylcholine 18:0 are related to a lower risk of common cancers in a prospective metabolomics study.

Tilman Kühn, Anna Floegel, Disorn Sookthai, Theron Johnson, Ulrike Rolle-Kampczyk, Wolfgang Otto, Martin von Bergen, Heiner Boeing, Rudolf Kaaks

Abstract read
In one paragraph

Article in BMC medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 136 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
136citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

136 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Large-scale Integrated Analysis of Genetics and Metabolomic Data Reveals Potential Links Between Lipids and Colorectal Cancer Risk.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
    Pooled it
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  9. The role of phosphatidylcholine metabolism in tumors.Medical oncology (Northwood, London, England) · 2025
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76 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

9 authors.

Tilman KühnDivision of Cancer Epidemiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, D-69120, Heidelberg, Germany. t.kuehn@dkfz.de.
Anna FloegelDepartment of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Arthur-Scheunert-Allee 114, D-14558, Nuthetal, Germany. anna.floegel@dife.de.
Disorn SookthaiDivision of Cancer Epidemiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, D-69120, Heidelberg, Germany. d.sookthai@dkfz.de.
Theron JohnsonDivision of Cancer Epidemiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, D-69120, Heidelberg, Germany. t.johnson@dkfz.de.
Ulrike Rolle-KampczykDepartment of Metabolomics, Helmholtz Centre for Environmental Research (UFZ), Permoserstraße 15, D-04318, Leipzig, Germany. ulrike.rolle-kampczyk@ufz.de.
Wolfgang OttoDepartment of Proteomics, Helmholtz Centre for Environmental Research (UFZ), Permoserstraße 15, D-04318, Leipzig, Germany. wolfgang.otto@ufz.de.
Martin von BergenDepartment of Metabolomics, Helmholtz Centre for Environmental Research (UFZ), Permoserstraße 15, D-04318, Leipzig, Germany. martin.vonbergen@ufz.de.
Heiner BoeingDepartment of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Arthur-Scheunert-Allee 114, D-14558, Nuthetal, Germany. boeing@dife.de.
Rudolf KaaksDivision of Cancer Epidemiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, D-69120, Heidelberg, Germany. r.kaaks@dkfz.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFirst metabolomics studies have indicated that metabolic fingerprints from accessible tissues might be useful to better understand the etiological links between metabolism and cancer. However, there is still a lack of prospective metabolomics studies on pre-diagnostic metabolic alterations and cancer risk.

methodsAssociations between pre-diagnostic levels of 120 circulating metabolites (acylcarnitines, amino acids, biogenic amines, phosphatidylcholines, sphingolipids, and hexoses) and the risks of breast, prostate, and colorectal cancer were evaluated by Cox regression analyses using data of a prospective case-cohort study including 835 incident cancer cases.

resultsThe median follow-up duration was 8.3 years among non-cases and 6.5 years among incident cases of cancer. Higher levels of lysophosphatidylcholines (lysoPCs), and especially lysoPC a C18:0, were consistently related to lower risks of breast, prostate, and colorectal cancer, independent of background factors. In contrast, higher levels of phosphatidylcholine PC ae C30:0 were associated with increased cancer risk. There was no heterogeneity in the observed associations by lag time between blood draw and cancer diagnosis.

conclusionChanges in blood lipid composition precede the diagnosis of common malignancies by several years. Considering the consistency of the present results across three cancer types the observed alterations point to a global metabolic shift in phosphatidylcholine metabolism that may drive tumorigenesis.

Indexed as

Lipid MetabolismBiomarkers, TumorBreast NeoplasmsCarnitineCohort StudiesColorectal NeoplasmsFemaleHumansLipidsLysophosphatidylcholinesMaleMiddle AgedNeoplasmsProspective StudiesProstatic NeoplasmsacylcarnitineBiomarkers, TumorCarnitineLipidsLysophosphatidylcholinesWe 201

Identifiers

PMID26817443
PMCPMC4730724

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Registered trials

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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.