Evidence map›Paper›PMID 41666231›Full record

ArticlePLoS medicine2026

Systematic assessment of obesity-related risk factors in renal cancer etiology: A longitudinal risk and Mendelian randomization analysis.

Karine Alcala, Daniela Mariosa, Sara Jacobson, Claudia Coscia-Requena, Niki Dimou, Oskar Franklin, Richard M Martin, George Davey Smith, Marc J Gunter, Paul Brennan and 3 more

Abstract read
In one paragraph

Article in PLoS medicine, 2026. 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
–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

1 citing paper in PubMed.

  1. Review
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

13 authors.

Karine AlcalaInternational Agency for Research on Cancer (IARC/WHO), Lyon, France.ORCID 0000-0003-2308-9880
Daniela MariosaInternational Agency for Research on Cancer (IARC/WHO), Lyon, France.ORCID 0000-0001-8181-1419
Sara JacobsonDepartment of Diagnostics and Intervention, Surgery, Umeå University, Umeå, Sweden.ORCID 0000-0002-1542-1970
Claudia Coscia-RequenaInternational Agency for Research on Cancer (IARC/WHO), Lyon, France.ORCID 0000-0001-9443-2119
Niki DimouInternational Agency for Research on Cancer (IARC/WHO), Lyon, France.ORCID 0000-0003-1678-9328
Oskar FranklinDepartment of Diagnostics and Intervention, Surgery, Umeå University, Umeå, Sweden.
Richard M MartinMRC Integrative Epidemiology Unit (IEU), Bristol Medical School, Department of Population Health Sciences, University of Bristol, Bristol, United Kingdom.
George Davey SmithMRC Integrative Epidemiology Unit (IEU), Bristol Medical School, Department of Population Health Sciences, University of Bristol, Bristol, United Kingdom.ORCID 0000-0002-1407-8314
Marc J GunterCancer Epidemiology and Prevention Research Unit, School of Public Health, Imperial College London, London, United Kingdom.
Paul BrennanInternational Agency for Research on Cancer (IARC/WHO), Lyon, France.
Michael PollakDepartments of Oncology and Medicine, McGill University, Montreal, Quebec, Canada.
Ryan LangdonInternational Agency for Research on Cancer (IARC/WHO), Lyon, France.
Mattias JohanssonInternational Agency for Research on Cancer (IARC/WHO), Lyon, France.ORCID 0000-0002-3116-5081

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExcess body adiposity is an established cause of renal cancer, but underlying molecular pathways mediating this relationship remain unclear. This study aimed to systematically evaluate a panel of obesity-related risk factors as potential mediators in renal cancer etiology. METHODS AND

findingsWe used two complementary approaches to evaluate obesity-related risk factors in renal cancer etiology: (i) direct risk factor assessment in longitudinal cohorts and (ii) genetically proxied risk factors through two-sample Mendelian randomization (MR). Direct risk-factor association-analyses (i.e., cohort analyses) were based on the UK Biobank cohort study (472,337 cohort participants, including 1,382 incident renal cancer cases diagnosed during 5,586,414 person years of follow-up) and the Northern Sweden Health and Disease Study (NSHDS) for fasting insulin (204 pairs of cases and controls, ongoing recruitment and follow-up since 1985). We used Cox proportional hazards regression models to evaluate the association between risk factors and renal cancer risk with adjustment for age, sex, center of recruitment, education, smoking and alcohol drinking status. Two-sample MR analyses were based on a genome-wide association study (GWAS) of renal cancer (27,213 cases, 486,846 controls). We used the inverse-variance weighted (IVW) approach to estimate the association between risk factors and renal cancer risk. Mediation analyses were performed for traits displaying directionally consistent associations with renal cancer risk in both the cohort and MR analyses using the product method. We found consistent positive associations with renal cancer risk for fasting insulin (odds ratio per standard deviation increment [ORMR]: 2.24, 95% confidence interval [95% CI]: 1.19, 4.22; p = 0.01; hazard ratio per standard deviation increment [HRcohort]: 1.43, 95% CI: 1.02, 2.00; p = 0.04), triglycerides (ORMR: 1.11, 95% CI: 1.05, 1.17; p < 0.001, HRcohort: 1.23, 95% CI: 1.11, 1.38; p < 0.001), diastolic blood pressure (DBP) (ORMR: 1.14, 95% CI: 1.04, 1.26; p < 0.001, HRcohort: 1.11, 95% CI: 1.05, 1.17; p < 0.001) and consistent inverse associations with renal cancer risk for sex-hormone binding globulin (SHBG) (ORMR: 0.80, 95% CI: 0.70, 0.90; p < 0.001, HRcohort: 0.67, 95% CI: 0.58, 0.76; p < 0.001) and high-density lipoprotein (HDL) cholesterol (ORMR: 0.93, 95% CI: 0.88, 0.98; p < 0.001, HRcohort: 0.72, 95% CI: 0.66, 0.77; p < 0.001). The main limitation of this study was that we had limited statistical power to evaluate some risk factors.

conclusionsOur study highlights roles for fasting insulin, HDL cholesterol, DBP, triglycerides and SHBG in mediating the relationship between body adiposity and renal cancer risk.

Indexed as

Kidney NeoplasmsObesityAdiposityAgedFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansLongitudinal StudiesMaleMendelian Randomization AnalysisMiddle AgedProportional Hazards ModelsRisk AssessmentRisk FactorsSweden

Identifiers

PMID41666231
PMCPMC12919923

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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.