Evidence map›Paper›PMID 36014812›Full record

ArticleNutrients2022

Diet and BMI Correlate with Metabolite Patterns Associated with Aggressive Prostate Cancer.

Zoe S Grenville, Urwah Noor, Mathilde His, Vivian Viallon, Sabina Rinaldi, Elom K Aglago, Pilar Amiano, Louise Brunkwall, María Dolores Chirlaque, Isabel Drake and 22 more

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 45% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

32 authors at 18 institutions in 8 countries.

Zoe S GrenvilleCancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK.ORCID 0000-0002-8185-5929
Urwah NoorCancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK.
Mathilde HisNutrition and Metabolism Branch, International Agency for Research on Cancer, World Health Organization, 69008 Lyon, France.
Vivian ViallonNutrition and Metabolism Branch, International Agency for Research on Cancer, World Health Organization, 69008 Lyon, France.ORCID 0000-0002-9799-4421
Sabina RinaldiNutrition and Metabolism Branch, International Agency for Research on Cancer, World Health Organization, 69008 Lyon, France.
Elom K AglagoDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London W2 1PG, UK.ORCID 0000-0002-0442-3284
Pilar AmianoMinistry of Health of the Basque Government, Sub Directorate for Public Health and Addictions of Gipuzkoa, 20013 San Sebastian, Spain.
Louise BrunkwallDepartment of Clinical Sciences, Lund University, 221 84 Malmö, Sweden.
María Dolores ChirlaqueCIBER of Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain.
Isabel DrakeDepartment of Clinical Sciences, Lund University, 221 84 Malmö, Sweden.ORCID 0000-0002-6500-6310
Fabian EichelmannDepartment of Molecular Epidemiology, German Institute of Human Nutrition, 14558 Nuthetal, Germany.
Heinz FreislingNutrition and Metabolism Branch, International Agency for Research on Cancer, World Health Organization, 69008 Lyon, France.ORCID 0000-0001-8648-4998
Sara GrioniEpidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy.
Alicia K HeathDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London W2 1PG, UK.ORCID 0000-0001-6517-1300
Rudolf KaaksDepartment of Cancer Epidemiology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.
Verena KatzkeDepartment of Cancer Epidemiology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.
Ana-Lucia Mayén-ChaconNutrition and Metabolism Branch, International Agency for Research on Cancer, World Health Organization, 69008 Lyon, France.ORCID 0000-0001-9635-0416
Lorenzo MilaniCancer Epidemiology Unit, Department of Medical Sciences, University of Turin, 10124 Turin, Italy.ORCID 0000-0002-2185-2179
Conchi Moreno-IribasCIBER of Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain.
Valeria PalaEpidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy.ORCID 0000-0001-5438-970X
Anja OlsenDanish Cancer Society Research Center, DK-2100 Copenhagen, Denmark.ORCID 0000-0003-4788-503X
Maria-Jose SánchezEscuela Andaluza de Salud Pública (EASP), 18011 Granada, Spain.ORCID 0000-0003-4817-0757
Matthias B SchulzeDepartment of Molecular Epidemiology, German Institute of Human Nutrition, 14558 Nuthetal, Germany.ORCID 0000-0002-0830-5277
Anne TjønnelandDanish Cancer Society Research Center, DK-2100 Copenhagen, Denmark.
Konstantinos K TsilidisDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London W2 1PG, UK.ORCID 0000-0002-8452-8472
Elisabete WeiderpassInternational Agency for Research on Cancer, World Health Organization, 69008 Lyon, France.ORCID 0000-0003-2237-0128
Anna WinkvistSustainable Health, Department of Public Health and Clinical Medicine, Umeå University, 901 87 Umeå, Sweden.
Raul Zamora-RosUnit of Nutrition and Cancer, Cancer Epidemiology Research Programme, Catalan Institute of Oncology (ICO), Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, 08908 Barcelona, Spain.ORCID 0000-0002-6236-6804
Timothy J KeyCancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK.
Karl Smith-ByrneCancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK.
Ruth C TravisCancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK.
Julie A SchmidtCancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK.ORCID 0000-0002-7733-8750
Centre international de recherche sur le cancer · FRUniversity of Oxford · GBFondazione IRCCS Istituto Nazionale dei Tumori · ITGerman Cancer Research Center · DEGerman Institute of Human Nutrition · DEImperial College London · GBLund University · SEAarhus University · DKAarhus University Hospital · DKBasque Government · ESInstitut d'Investigació Biomédica de Bellvitge · ESInstituto de Salud Pública de Navarra · ESInstituto Murciano de Investigación Biosanitaria · ESUniversidad de Granada · ESUniversity of Copenhagen · DKUniversity of Gothenburg · SEUniversity of Ioannina · GRUniversity of Turin · IT

Funding

Cancer Research UK 29017Cancer Research UK C8221/A29017Cancer Research UK C8221/A30904Medical Research Council MC_UU_00006/1Medical Research Council MR/M012190/1World Health Organization 001
6 · The paper itself

Abstract

Three metabolite patterns have previously shown prospective inverse associations with the risk of aggressive prostate cancer within the European Prospective Investigation into Cancer and Nutrition (EPIC). Here, we investigated dietary and lifestyle correlates of these three prostate cancer-related metabolite patterns, which included: 64 phosphatidylcholines and three hydroxysphingomyelins (Pattern 1), acylcarnitines C18:1 and C18:2, glutamate, ornithine, and taurine (Pattern 2), and 8 lysophosphatidylcholines (Pattern 3). In a two-stage cross-sectional discovery (n = 2524) and validation (n = 518) design containing 3042 men free of cancer in EPIC, we estimated the associations of 24 dietary and lifestyle variables with each pattern and the contributing individual metabolites. Associations statistically significant after both correction for multiple testing (False Discovery Rate = 0.05) in the discovery set and at p < 0.05 in the validation set were considered robust. Intakes of alcohol, total fish products, and its subsets total fish and lean fish were positively associated with Pattern 1. Body mass index (BMI) was positively associated with Pattern 2, which appeared to be driven by a strong positive BMI-glutamate association. Finally, both BMI and fatty fish were inversely associated with Pattern 3. In conclusion, these results indicate associations of fish and its subtypes, alcohol, and BMI with metabolite patterns that are inversely associated with risk of aggressive prostate cancer.

Indexed as

DietProstatic NeoplasmsAnimalsBody Mass IndexCross-Sectional StudiesFishesGlutamatesHumansMaleProspective StudiesRisk FactorsGlutamatescross-sectionaldietmetabolitesprostate cancer

Identifiers

PMID36014812
PMCPMC9415102
OpenAlexW4291512462

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.