Evidence map›Paper›PMID 34543281›Full record

Observational studyPLoS medicine2021

The blood metabolome of incident kidney cancer: A case-control study nested within the MetKid consortium.

Florence Guida, Vanessa Y Tan, Laura J Corbin, Karl Smith-Byrne, Karine Alcala, Claudia Langenberg, Isobel D Stewart, Adam S Butterworth, Praveen Surendran, David Achaintre and 30 more

Open access · goldAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in PLoS medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 3 pooled it
2.3field-weighted citation impact, top 11% 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

22 citing papers in PubMed, 3 syntheses or guidelines pooled it, 39 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
  5. Article
  6. Observational
  7. Review
  8. Article
  9. Identifying Metabolomic Mediators of the Physical Activity and Colorectal Cancer Relationship.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    Article
  10. Article
  11. Article
  12. Review
  13. Data Resource Profile: The HUNT Biobank.International journal of epidemiology · 2024
    Article
  14. Review
  15. Article
  16. Update on Adipose Tissue and Cancer.Endocrine reviews · 2023
    Article
  17. Article
  18. Article
  19. Article
  20. Article
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

40 authors at 19 institutions in 13 countries.

Florence GuidaGenomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France.ORCID 0000-0002-9652-2430
Vanessa Y TanMRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom.ORCID 0000-0001-7938-127X
Laura J CorbinMRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom.ORCID 0000-0002-4032-9500
Karl Smith-ByrneGenomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France.
Karine AlcalaGenomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France.ORCID 0000-0003-2308-9880
Claudia LangenbergMRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0002-5017-7344
Isobel D StewartMRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom.
Adam S ButterworthBritish Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom.
Praveen SurendranBritish Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom.
David AchaintreNutrition and Metabolism Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France.
Jerzy AdamskiInstitute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany.ORCID 0000-0001-9259-0199
Pilar AmianoMinistry of Health of the Basque Government, Sub Directorate for Public Health and Addictions of Gipuzkoa, San Sebastián, Spain.
Manuela M BergmannGerman Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany.
Caroline J BullMRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom.ORCID 0000-0002-2176-5120
Christina C DahmDepartment of Public Health, Aarhus University, Aarhus, Denmark.ORCID 0000-0003-0481-2893
Audrey GicquiauNutrition and Metabolism Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France.
Graham G GilesCancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia.ORCID 0000-0003-4946-9099
Marc J GunterNutrition and Metabolism Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France.
Toomas HallerInstitute of Genomics, University of Tartu, Tartu, Estonia.
Arnulf LanghammerHUNT Research Centre, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Levanger, Norway.ORCID 0000-0001-5296-6673
Tricia L LaroseGenomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France.
Börje LjungbergDepartment of Surgical and Perioperative Sciences, Urology and Andrology, Umeå University, Umeå, Sweden.ORCID 0000-0002-4121-3753
Andres MetspaluInstitute of Genomics, University of Tartu, Tartu, Estonia.
Roger L MilneCancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia.ORCID 0000-0001-5764-7268
David C MullerDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom.
Therese H NøstDepartment of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway.ORCID 0000-0001-6805-3094
Elin Pettersen SørgjerdHUNT Research Centre, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Levanger, Norway.ORCID 0000-0002-5995-2386
Cornelia PrehnMetabolomics and Proteomics Core (MPC), Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany.ORCID 0000-0002-1274-4715
Elio RiboliDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom.ORCID 0000-0001-6795-6080
Sabina RinaldiNutrition and Metabolism Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France.
Joseph A RothwellUniversité Paris-Saclay, UVSQ, Inserm, Gustave Roussy, Équipe "Exposome et Hérédité", CESP UMR1018, Inserm, Villejuif, France.ORCID 0000-0002-6927-3360
Augustin ScalbertNutrition and Metabolism Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France.ORCID 0000-0001-6651-6710
Julie A SchmidtCancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-7733-8750
Gianluca SeveriUniversité Paris-Saclay, UVSQ, Inserm, Gustave Roussy, Équipe "Exposome et Hérédité", CESP UMR1018, Inserm, Villejuif, France.ORCID 0000-0001-7157-419X
Sabina SieriEpidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milano, Italy.ORCID 0000-0001-5201-172X
Roel VermeulenInstitute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, the Netherlands.
Emma E VincentMRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom.ORCID 0000-0002-8917-7384
Melanie WaldenbergerResearch Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany.
Nicholas J TimpsonMRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom.ORCID 0000-0002-7141-9189
Mattias JohanssonGenomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France.ORCID 0000-0002-3116-5081
Centre international de recherche sur le cancer · FRUniversity of Bristol · GBUniversity of Cambridge · GBHelmholtz Zentrum München · DEImperial College London · GBInserm · FRNorwegian University of Science and Technology · NOThe University of Melbourne · AUUniversity of Tartu · EEAarhus University · DKBasque Government · ESFondazione IRCCS Istituto Nazionale dei Tumori · ITGerman Institute of Human Nutrition · DEUiT The Arctic University of Norway · NOUmeå University · SEUniversity of Ljubljana · SIUniversity of Oslo · NOUniversity of Oxford · GBUtrecht University · NL

Funding

Cell Interactions in the Inflamed Intestinal MucosaR01DK075787 · NIDDK · BOSTON CHILDREN'S HOSPITAL · PI JOEL N HIRSCHHORN · 2007 to 2026
$13.1M
British Heart Foundation RG/13/13/30194British Heart Foundation RG/18/13/33946British Heart Foundation SP/09/002Cancer Research UK 14136Cancer Research UK 19169Cancer Research UK 24390Cancer Research UK 29019Cancer Research UK C18281/A19169Cancer Research UK C864/A14136Department of Health BRC-1215-20014Department of Health BTRU-2014-10024Medical Research Council G0401527Medical Research Council G1000143Medical Research Council MC_PC_13048Medical Research Council MC_UU_00006/1Medical Research Council MC_UU_00011Medical Research Council MC-UU_12015/1Medical Research Council MC_UU_12015/1Medical Research Council MR/L003120/1Medical Research Council MR/N003284/1Medical Research Council MR/S003746/1NIDDK NIH HHS R01 DK075787Wellcome Trust 202802/Z/16/ZWorld Health Organization 001
6 · The paper itself

Abstract

backgroundExcess bodyweight and related metabolic perturbations have been implicated in kidney cancer aetiology, but the specific molecular mechanisms underlying these relationships are poorly understood. In this study, we sought to identify circulating metabolites that predispose kidney cancer and to evaluate the extent to which they are influenced by body mass index (BMI). METHODS AND

findingsWe assessed the association between circulating levels of 1,416 metabolites and incident kidney cancer using pre-diagnostic blood samples from up to 1,305 kidney cancer case-control pairs from 5 prospective cohort studies. Cases were diagnosed on average 8 years after blood collection. We found 25 metabolites robustly associated with kidney cancer risk. In particular, 14 glycerophospholipids (GPLs) were inversely associated with risk, including 8 phosphatidylcholines (PCs) and 2 plasmalogens. The PC with the strongest association was PC ae C34:3 with an odds ratio (OR) for 1 standard deviation (SD) increment of 0.75 (95% confidence interval [CI]: 0.68 to 0.83, p = 2.6 × 10-8). In contrast, 4 amino acids, including glutamate (OR for 1 SD = 1.39, 95% CI: 1.20 to 1.60, p = 1.6 × 10-5), were positively associated with risk. Adjusting for BMI partly attenuated the risk association for some-but not all-metabolites, whereas other known risk factors of kidney cancer, such as smoking and alcohol consumption, had minimal impact on the observed associations. A mendelian randomisation (MR) analysis of the influence of BMI on the blood metabolome highlighted that some metabolites associated with kidney cancer risk are influenced by BMI. Specifically, elevated BMI appeared to decrease levels of several GPLs that were also found inversely associated with kidney cancer risk (e.g., -0.17 SD change [ßBMI] in 1-(1-enyl-palmitoyl)-2-linoleoyl-GPC (P-16:0/18:2) levels per SD change in BMI, p = 3.4 × 10-5). BMI was also associated with increased levels of glutamate (ßBMI: 0.12, p = 1.5 × 10-3). While our results were robust across the participating studies, they were limited to study participants of European descent, and it will, therefore, be important to evaluate if our findings can be generalised to populations with different genetic backgrounds.

conclusionsThis study suggests a potentially important role of the blood metabolome in kidney cancer aetiology by highlighting a wide range of metabolites associated with the risk of developing kidney cancer and the extent to which changes in levels of these metabolites are driven by BMI-the principal modifiable risk factor of kidney cancer.

Indexed as

Body Mass IndexMetabolomeAgedBiomarkersCase-Control StudiesEuropeFemaleHumansIncidenceKidney NeoplasmsMaleMendelian Randomization AnalysisMetabolomicsMiddle AgedObesityProspective StudiesBiomarkers

Identifiers

PMID34543281
PMCPMC8496779
OpenAlexW3199523846

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LicenceCC BY
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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.