Evidence map›Paper›PMID 40943470›Full record

ArticleInternational journal of molecular sciences2025

Benzene Metabolism Is Dominated by a High-Affinity Pathway at Ambient Exposures with Implications for Cancer Risks.

Reuben Thomas, Sungkyoon Kim, Qing Lan, Roel Vermeulen, Luoping Zhang, Nathaniel Rothman, Martyn T Smith, Stephen M Rappaport

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2025. 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. 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

8 authors.

Reuben ThomasJ. David Gladstone Institutes, San Francisco, CA 94158, USA.
Sungkyoon KimDepartment of Environmental Health Sciences, Graduate School of Public Health, Seoul National University, Seoul 08826, Republic of Korea.ORCID 0000-0002-1378-8795
Qing LanOccupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Service, Rockville, MD 20850, USA.
Roel VermeulenDivision of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, 3508 TD Utrecht, The Netherlands.ORCID 0000-0003-4082-8163
Luoping ZhangSchool of Public Health, University of California, Berkeley, CA 94720, USA.ORCID 0000-0001-7866-8391
Nathaniel RothmanOccupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Service, Rockville, MD 20850, USA.
Martyn T SmithSchool of Public Health, University of California, Berkeley, CA 94720, USA.
Stephen M RappaportSchool of Public Health, University of California, Berkeley, CA 94720, USA.

Funding

Training CoreP42ES004705 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI SMITH, MARTYN T · 1987 to 2025
$74.6M
STOCHASTIC ANALYSIS OF FLOW AND TRANSPORT PHENOMENAP42ES005948 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI FRY, REBECCA · 1992 to 2017
$45.4M
UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Hazel B Nichols · 2001 to 2026
$36.3M
BIOMARKERS OF BENZENE EXPOSURE AND GENOTOXICITYR01ES006721 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI SMITH, MARTYN T · 1993 to 2007
$3.3M
NIEHS NIH HHS P30 ES010126NIEHS NIH HHS P42 ES004705NIEHS NIH HHS P42 ES005948NIEHS NIH HHS R01 ES006721NIH HHS P30ES10126NIH HHS P42ES04705NIH HHS P42ES05948NIH HHS RO1ES06721
6 · The paper itself

Abstract

Benzene is a ubiquitous environmental pollutant that induces blood cancers via its complex metabolism. Since cancer risks to the general public involve toxic benzene metabolites derived from the inhalation of benzene at ppb air concentrations, questions remain regarding low-dose metabolism. Using previously published data from 389 Chinese workers, we fit Michaelis-Menten-like models to predict urinary concentrations of

Indexed as

BenzeneEnvironmental ExposureNeoplasmsAdultAir PollutantsFemaleHumansMaleMiddle AgedOccupational ExposureSmokingSorbic AcidAir PollutantsBenzenemuconic acidSorbic AcidCYP2A13high-affinity pathwayMichaelis-Menten modelsmuconic acidtoxicokineticsurinary benzeneweight of evidence

Identifiers

PMID40943470
PMCPMC12428784

What OpenQuestion holds

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Registered trials

None linked

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.