Evidence map›Paper›PMID 29924298›Full record

ArticleThe American journal of clinical nutrition2018

Metabolic signature of healthy lifestyle and its relation with risk of hepatocellular carcinoma in a large European cohort.

Nada Assi, Marc J Gunter, Duncan C Thomas, Michael Leitzmann, Magdalena Stepien, Véronique Chajès, Thierry Philip, Paolo Vineis, Christina Bamia, Marie-Christine Boutron-Ruault and 12 more

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in The American journal of clinical nutrition, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03356535 (Metabolic Signature of Healthy Lifestyle and Its Relationship With Risk of Hepatocellular Carcinoma in a Large European Cohort), which is not on this map. Cited by 19 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 3 pooled it
1.6field-weighted citation impact, top 16% 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.

NCT03356535 completednot on this map

Metabolic Signature of Healthy Lifestyle and Its Relationship With Risk of Hepatocellular Carcinoma in a Large European Cohort

TypeobservationalSponsorInternational Agency for Research on CancerRan2015 to 2017Enrolled294ConditionsHepatocellular Carcinoma
3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 3 syntheses or guidelines pooled it, 35 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Metabolomic profiles of being physically active and less sedentary: a critical review.Metabolomics : Official journal of the Metabolomic Society · 2021
    Pooled it
  4. Trial
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  12. Characteristics of Cancer Epidemiology Studies That Employ Metabolomics: A Scoping Review.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023
    Article
  13. Article
  14. Metabolic Signatures of Healthy Lifestyle Patterns and Colorectal Cancer Risk in a European Cohort.Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association · 2022
    Article
  15. Healthy lifestyle, metabolomics and incident type 2 diabetes in a population-based cohort from Spain.The international journal of behavioral nutrition and physical activity · 2022
    Article
  16. Article
  17. Article
  18. Article
  19. When lifestyles sign.Hepatobiliary surgery and nutrition · 2019
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

22 authors at 15 institutions in 10 countries.

Nada AssiSection of Nutrition and Metabolism, International Agency for Research on Cancer (IARC), Lyon, France.
Marc J GunterSection of Nutrition and Metabolism, International Agency for Research on Cancer (IARC), Lyon, France.
Duncan C ThomasUniversity of Southern California, Los Angeles, CA.
Michael LeitzmannDepartment of Epidemiology and Preventive Medicine, Regensburg University, Regensburg, Germany.
Magdalena StepienSection of Nutrition and Metabolism, International Agency for Research on Cancer (IARC), Lyon, France.
Véronique ChajèsSection of Nutrition and Metabolism, International Agency for Research on Cancer (IARC), Lyon, France.
Thierry PhilipUnité Cancer et Environnement, Centre Léon Bérard, Lyon, France.
Paolo VineisDepartment of Epidemiology and Biostatistics, MRC-HPA Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom.
Christina BamiaHellenic Health Foundation, Athens, Greece.
Marie-Christine Boutron-RuaultUniversité Paris-Saclay, Université Paris-Sud, Villejuif, France.
Torkjel M SandangerDepartment of Community Medicine, UiT the Arctic University of Norway, Tromsø, Norway.
Amaia MolinuevoPublic Health Division of Gipuzkoa, Regional Government of the Basque Country, Donostia-San Sebastián, Spain.
Hendriek BoshuizenNational Institute for Public Health and the Environment (RIVM), Antonie van Leeuwenhoeklaan 9, 3721 MA Bilthoven, Netherlands.
Anneli SundkvistDepartment of Radiation Sciences Oncology, Umeå University 901 87 Umeå, Sweden.
Tilman KühnDivision of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Ruth TravisCancer Epidemiology Unit, University of Oxford, Oxford, United Kingdom.
Kim OvervadThe Department of Epidemiology, School of Public Health, Aarhus University, Aarhus, Denmark.
Elio RiboliDepartment of Epidemiology and Biostatistics, MRC-HPA Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom.
Augustin ScalbertSection of Nutrition and Metabolism, International Agency for Research on Cancer (IARC), Lyon, France.
Mazda JenabSection of Nutrition and Metabolism, International Agency for Research on Cancer (IARC), Lyon, France.
Vivian ViallonSection of Nutrition and Metabolism, International Agency for Research on Cancer (IARC), Lyon, France.
Pietro FerrariSection of Nutrition and Metabolism, International Agency for Research on Cancer (IARC), Lyon, France.
Centre international de recherche sur le cancer · FRImperial College London · GBAarhus University · DKBasque Government · ESCentre Léon Bérard · FRGerman Cancer Research Center · DENational and Kapodistrian University of Athens · GRNational Institute for Public Health and the Environment · NLUiT The Arctic University of Norway · NOUmeå University · SEUniversité Claude Bernard Lyon 1 · FRUniversité Paris-Sud · FRUniversity of Oxford · GBUniversity of Regensburg · DEUniversity of Southern California · US

Funding

Shared Resources Core 2: Quantitative Proteomics CoreP01CA196539 · NCI · ROCKEFELLER UNIVERSITY · PI MUIR, TOM · 2015 to 2024
$17.6M
Cancer Research UK 14136Cancer Research UK C570/A16491Cancer Research UK C8221/A19170Medical Research Council 1000143Medical Research Council G0401527Medical Research Council G0500300Medical Research Council G1000143Medical Research Council MR/M012190/1Medical Research Council MR/N003284/1NCI NIH HHS P01 CA196539World Health Organization 001
6 · The paper itself

Abstract

Background: Studies using metabolomic data have identified metabolites from several compound classes that are associated with disease-related lifestyle factors. Objective: In this study, we identified metabolic signatures reflecting lifestyle patterns and related them to the risk of hepatocellular carcinoma (HCC) in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. Design: Within a nested case-control study of 147 incident HCC cases and 147 matched controls, partial least squares (PLS) analysis related 7 modified healthy lifestyle index (HLI) variables (diet, BMI, physical activity, lifetime alcohol, smoking, diabetes, and hepatitis) to 132 targeted serum-measured metabolites and a liver function score. The association between the resulting PLS scores and HCC risk was examined in multivariable conditional logistic regression models, where ORs and 95% CIs were computed. Results: The lifestyle component's PLS score was negatively associated with lifetime alcohol, BMI, smoking, and diabetes, and positively associated with physical activity. Its metabolic counterpart was positively related to the metabolites sphingomyelin (SM) (OH) C14:1, C16:1, and C22:2, and negatively related to glutamate, hexoses, and the diacyl-phosphatidylcholine PC aaC32:1. The lifestyle and metabolomics components were inversely associated with HCC risk, with the ORs for a 1-SD increase in scores equal to 0.53 (95% CI: 0.38, 0.74) and 0.28 (0.18, 0.43), and the associated AUCs equal to 0.64 (0.57, 0.70) and 0.74 (0.69, 0.80), respectively. Conclusions: This study identified a metabolic signature reflecting a healthy lifestyle pattern which was inversely associated with HCC risk. The metabolic profile displayed a stronger association with HCC than did the modified HLI derived from questionnaire data. Measuring a specific panel of metabolites may identify strata of the population at higher risk for HCC and can add substantial discrimination compared with questionnaire data. This trial was registered at clinicaltrials.gov as NCT03356535.

Indexed as

Healthy LifestyleAdultAgedAged, 80 and overCarcinoma, HepatocellularCase-Control StudiesCohort StudiesDiet SurveysEuropeFemaleHumansLiver NeoplasmsLogistic ModelsMaleMiddle AgedRisk Factors

Identifiers

PMID29924298
PMCPMC6862938
OpenAlexW2809446063

What OpenQuestion holds

Textmetadata
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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.