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


Journal

PLoS medicine
ISSN: 1549-1676
Titre abrégé: PLoS Med
Pays: United States
ID NLM: 101231360

Informations de publication

Date de publication:
09 2021
Historique:
received: 12 01 2021
accepted: 27 08 2021
revised: 07 10 2021
pubmed: 21 9 2021
medline: 1 12 2021
entrez: 20 9 2021
Statut: epublish

Résumé

Excess 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). We 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. This 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.

Sections du résumé

BACKGROUND
Excess 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 FINDINGS
We 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.
CONCLUSIONS
This 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.

Identifiants

pubmed: 34543281
doi: 10.1371/journal.pmed.1003786
pii: PMEDICINE-D-21-00171
pmc: PMC8496779
doi:

Substances chimiques

Biomarkers 0

Types de publication

Journal Article Multicenter Study Observational Study Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e1003786

Subventions

Organisme : Medical Research Council
ID : MC-UU_12015/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_UU_12015/1
Pays : United Kingdom
Organisme : British Heart Foundation
ID : RG/18/13/33946
Pays : United Kingdom
Organisme : Cancer Research UK
ID : C18281/A19169
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/N003284/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : G0401527
Pays : United Kingdom
Organisme : Medical Research Council
ID : G1000143
Pays : United Kingdom
Organisme : Cancer Research UK
ID : 14136
Pays : United Kingdom
Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : British Heart Foundation
ID : RG/13/13/30194
Pays : United Kingdom
Organisme : British Heart Foundation
ID : SP/09/002
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_UU_00006/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/L003120/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/S003746/1
Pays : United Kingdom
Organisme : Department of Health
ID : BRC-1215-20014
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_UU_00011
Pays : United Kingdom
Organisme : Cancer Research UK
ID : 24390
Pays : United Kingdom
Organisme : Department of Health
ID : BTRU-2014-10024
Pays : United Kingdom
Organisme : NIDDK NIH HHS
ID : R01 DK075787
Pays : United States
Organisme : Cancer Research UK
ID : C864/A14136
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 202802/Z/16/Z
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_PC_13048
Pays : United Kingdom

Déclaration de conflit d'intérêts

I have read the journal’s policy and the authors of this manuscript have the following competing interests: CL is an Academic Editor on PLOS Medicine’s editorial board; ASB reports institutional grants outside of this work from AstraZeneca, Bayer, Biogen, BioMarin, Bioverativ, Novartis, Regeneron and Sanofi; during the course of this project, PS became a full-time employee of GSK. No other conflicts of interest have been declared by the authors.

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Auteurs

Florence Guida (F)

Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France.

Vanessa Y Tan (VY)

MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom.
Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.

Laura J Corbin (LJ)

MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom.
Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.

Karl Smith-Byrne (K)

Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France.

Karine Alcala (K)

Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France.

Claudia Langenberg (C)

MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom.

Isobel D Stewart (ID)

MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom.

Adam S Butterworth (AS)

British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom.
British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, United Kingdom.
Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, United Kingdom.
National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge, United Kingdom.

Praveen Surendran (P)

British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom.
British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, United Kingdom.
Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, United Kingdom.
Rutherford Fund Fellow, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom.

David Achaintre (D)

Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France.

Jerzy Adamski (J)

Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany.
Institute of Biochemistry, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.
Chair of Experimental Genetics, School of Life Science, Weihenstephan, Technische Universität München, Freising, Germany.
Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.

Pilar Amiano (P)

Ministry of Health of the Basque Government, Sub Directorate for Public Health and Addictions of Gipuzkoa, San Sebastián, Spain.
Biodonostia Health Research Institute, Epidemiology of Chronic and Communicable Diseases Group, San Sebastián, Spain.
Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.

Manuela M Bergmann (MM)

German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany.

Caroline J Bull (CJ)

MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom.
Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.
School of Cellular and Molecular Medicine, University of Bristol, Bristol, United Kingdom.
Bristol Renal, Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.

Christina C Dahm (CC)

Department of Public Health, Aarhus University, Aarhus, Denmark.

Audrey Gicquiau (A)

Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France.

Graham G Giles (GG)

Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia.
Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia.
Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Australia.

Marc J Gunter (MJ)

Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France.

Toomas Haller (T)

Institute of Genomics, University of Tartu, Tartu, Estonia.

Arnulf Langhammer (A)

HUNT Research Centre, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Levanger, Norway.
Levanger Hospital, Nord-Trøndelag Hospital Trust, Levanger, Norway.

Tricia L Larose (TL)

Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France.
HUNT Research Centre, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Levanger, Norway.
Department of Community Medicine and Global Health, Institute of Health and Society, University of Oslo, Oslo, Norway.

Börje Ljungberg (B)

Department of Surgical and Perioperative Sciences, Urology and Andrology, Umeå University, Umeå, Sweden.

Andres Metspalu (A)

Institute of Genomics, University of Tartu, Tartu, Estonia.

Roger L Milne (RL)

Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia.
Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia.
Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Australia.

David C Muller (DC)

Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom.

Therese H Nøst (TH)

Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway.

Elin Pettersen Sørgjerd (E)

HUNT Research Centre, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Levanger, Norway.

Cornelia Prehn (C)

Metabolomics and Proteomics Core (MPC), Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany.

Elio Riboli (E)

Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom.

Sabina Rinaldi (S)

Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France.

Joseph A Rothwell (JA)

Université Paris-Saclay, UVSQ, Inserm, Gustave Roussy, Équipe "Exposome et Hérédité", CESP UMR1018, Inserm, Villejuif, France.

Augustin Scalbert (A)

Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France.

Julie A Schmidt (JA)

Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.

Gianluca Severi (G)

Université Paris-Saclay, UVSQ, Inserm, Gustave Roussy, Équipe "Exposome et Hérédité", CESP UMR1018, Inserm, Villejuif, France.
Department of Statistics, Computer Science and Applications (DISIA), University of Florence, Florence, Italy.

Sabina Sieri (S)

Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milano, Italy.

Roel Vermeulen (R)

Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, the Netherlands.

Emma E Vincent (EE)

MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom.
Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.
School of Cellular and Molecular Medicine, University of Bristol, Bristol, United Kingdom.
Bristol Renal, Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.

Melanie Waldenberger (M)

Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany.

Nicholas J Timpson (NJ)

MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom.
Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.

Mattias Johansson (M)

Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France.

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