Evidence map›Paper›PMID 39883068›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2025

Identifying Metabolomic Mediators of the Physical Activity and Colorectal Cancer Relationship.

Nikos Papadimitriou, Nabila Kazmi, Konstantinos K Tsilidis, Rebecca C Richmond, Brigid M Lynch, Benedetta Bendinelli, Fulvio Ricceri, Maria-Jose Sánchez, Camino Trobajo-Sanmartín, Paula Jakszyn and 19 more

Abstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

  1. Pooled it
  2. Article
  3. 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

29 authors.

Nikos PapadimitriouNutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France.ORCID 0000-0001-8294-7262
Nabila KazmiMRC Integrative Epidemiology Unit (IEU), Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.ORCID 0009-0007-6876-5324
Konstantinos K TsilidisDepartment of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece.ORCID 0000-0002-8452-8472
Rebecca C RichmondMRC Integrative Epidemiology Unit (IEU), Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.ORCID 0000-0003-0574-5071
Brigid M LynchCancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia.ORCID 0000-0001-8060-547X
Benedetta BendinelliClinical Epidemiology Unit, Institute for Cancer Research, Prevention and Cinical Network (ISPRO), Florence, Italy.ORCID 0000-0002-4796-1517
Fulvio RicceriDepartment of Clinical and Biological Sciences, Centre for Biostatistics, Epidemiology, and Public Health (C-BEPH), University of Turin, Turin, Italy.ORCID 0000-0001-8749-9737
Maria-Jose SánchezEscuela Andaluza de Salud Pública (EASP), Granada, Spain.ORCID 0000-0003-4817-0757
Camino Trobajo-SanmartínCentro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.ORCID 0000-0001-5105-252X
Paula JakszynUnit of Nutrition and Cancer, Cancer Epidemiology Research Programme, Catalan Institute of Oncology (ICO-IDIBELL), Barcelona, Spain.ORCID 0000-0003-0672-8847
Vittorio SimeonUnit of Medical Statistics, Department of Mental and Physical Health and Preventive Medicine, University of Campania, Naples, Italy.ORCID 0000-0003-2387-4125
Gianluca SeveriDepartment of Statistics, Computer Science, Applications "G. Parenti", University of Florence, Florence, Italy.ORCID 0000-0001-7157-419X
Vittorio PerducaParis-Saclay University, UVSQ, Inserm, Gustave Roussy, CESP, Villejuif, France.ORCID 0000-0003-0339-0473
Therese TruongParis-Saclay University, UVSQ, Inserm, Gustave Roussy, CESP, Villejuif, France.ORCID 0000-0002-2943-6786
Pietro FerrariNutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France.ORCID 0000-0001-9358-7338
Pekka Keski-RahkonenNutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France.ORCID 0000-0001-9437-3040
Elisabete WeiderpassInternational Agency for Research on Cancer, Lyon, France.ORCID 0000-0003-2237-0128
Fabian EichelmannDepartment of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.ORCID 0000-0002-3975-5596
Matthias B SchulzeDepartment of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.ORCID 0000-0002-0830-5277
Verena KatzkeDivision of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.ORCID 0000-0002-6509-6555
Renée Turzanski FortnerDivision of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.ORCID 0000-0002-1426-8505
Alicia K HeathCancer Epidemiology and Prevention Research Unit, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom.ORCID 0000-0001-6517-1300
Dagfinn AuneCancer Epidemiology and Prevention Research Unit, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom.ORCID 0000-0002-4533-1722
Rhea HarewoodDepartment of Surgery and Cancer, Imperial College London, London, United Kingdom.ORCID 0000-0003-4446-2138
Christina C DahmDepartment of Public Health, Aarhus University, Aarhus Centrum, Denmark.ORCID 0000-0003-0481-2893
Adrian LlorenteSubdirection of Public Health of Guipuzcoa, San Sebastián, Spain.ORCID 0000-0002-5879-2894
Marc J GunterNutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France.ORCID 0000-0001-5472-6761
Neil MurphyNutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France.ORCID 0000-0003-3347-8249
Sarah J LewisMRC Integrative Epidemiology Unit (IEU), Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.ORCID 0000-0003-4311-6890

Funding

Cancer Research UK 29019Cancer Research UK (CRUK) C18281/A29019Wereld Kanker Onderzoek Fonds (WKOF) WCRF_2020_019World Health Organization 001
6 · The paper itself

Abstract

backgroundCurrent evidence suggests higher physical activity (PA) levels are associated with a reduced risk of colorectal cancer. However, the mediating role of the circulating metabolome in this relationship remains unclear.

methodsTargeted metabolomics data from 6,055 participants in the European Prospective Investigation into Cancer and Nutrition cohort were used to identify metabolites associated with PA and derive a metabolomic signature of PA levels. PA levels were estimated using the validated Cambridge PA index based on baseline questionnaires. Mediation analyses were conducted in a nested case-control study (1,585 cases, 1,585 controls) to examine whether individual metabolites and the metabolomic signature mediated the PA-colorectal cancer association.

resultsPA was inversely associated with colorectal cancer risk (OR per category change: 0.90, 95% confidence interval, 0.83-0.97; P value = 0.009). PA levels were associated with 24 circulating metabolites after FDR correction, with the strongest associations observed for phosphatidylcholine acyl-alkyl (PC ae) C34:3 (FDR-adjusted P value = 1.18 × 10-10) and lysophosphatidylcholine acyl C18:2 (FDR-adjusted P value = 1.35 × 10-6). PC ae C34:3 partially mediated the PA-colorectal cancer association (natural indirect effect: 0.991, 95% confidence interval, 0.982-0.999; P value = 0.04), explaining 7.4% of the association. No mediation effects were observed for the remaining metabolites or the overall PA metabolite signature.

conclusionsPC ae C34:3 mediates part of the PA-colorectal cancer inverse association, but further studies with improved PA measures and extended metabolomic panels are needed. IMPACT: These findings provide insights into PA-related biological mechanisms influencing colorectal cancer risk and suggest potential targets for cancer prevention interventions.

Indexed as

Colorectal NeoplasmsExerciseMetabolomeMetabolomicsAgedCase-Control StudiesFemaleHumansMaleMiddle AgedProspective StudiesRisk Factors

Identifiers

PMID39883068
PMCPMC11966109

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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.