Evidence map›Paper›PMID 41762725›Full record

ArticleThe Journal of international medical research2026

Associations of volatile organic compounds with cancer: A cross-sectional analysis of single and mixture exposures.

Chenhui Lv, Jianxiang Ge, Hao Chen, Qijia Xuan

Abstract read
In one paragraph

Article in The Journal of international medical research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Chenhui LvDepartment of Oncology, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, China.
Jianxiang GeDepartment of Oncology, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, China.
Hao ChenDepartment of Oncology, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, China.
Qijia XuanDepartment of Oncology, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, China.ORCID 0000-0002-3591-270X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BackgroundUrinary volatile organic compounds can accurately reflect individual exposure levels. This study investigated the association between urinary volatile organic compounds and cancer from both single- and combined-exposure perspectives and identified the volatile organic compounds most strongly associated with cancer.MethodsThis cross-sectional study analyzed data from 6056 US adults from the National Health and Nutrition Examination Survey 2011-2018 cycles, including 546 individuals with cancer. Logistic regression and restricted cubic spline models were used to evaluate associations for individual volatile organic compound exposures. Subgroup and interaction analyses were conducted to assess differences among populations. Least absolute shrinkage and selection operator, weighted quantile sum, and Bayesian kernel machine regression models were applied to evaluate mixture associations and to identify volatile organic compounds most strongly associated with cancer.ResultsNine urinary volatile organic compound metabolites were significantly associated with cancer. Among them, N-acetyl-S-(3,4-dihydroxybutyl)-L-cysteine, a metabolite of 1,3-butadiene, and 2-aminothiazoline-4-carboxylic acid, a metabolite of cyanide, exhibited nonlinear dose-response relationships. Subgroup and interaction analyses indicated that age and body mass index were important effect modifiers of these associations. Mixture exposure analyses revealed that higher overall volatile organic compounds exposure levels were associated with a higher prevalence of cancer, with N-acetyl-S-(3,4-dihydroxybutyl)-L-cysteine contributing most strongly to the observed association.ConclusionThis study provides epidemiological evidence of an association between urinary volatile organic compounds and cancer, with N-acetyl-S-(3,4-dihydroxybutyl)-L-cysteine consistently showing the strongest association. These findings highlight the potential public health relevance of exposure to specific volatile organic compounds.

Indexed as

Environmental ExposureNeoplasmsVolatile Organic CompoundsAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedNutrition SurveysUnited StatesVolatile Organic Compoundscancerenvironmental exposureepidemiologyurinary metabolitesVolatile organic compounds

Identifiers

PMID41762725
PMCPMC12953977

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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.