ArticleArchives of toxicology2016
Comparative transcriptomic analyses to scrutinize the assumption that genotoxic PAHs exert effects via a common mode of action.
Article in Archives of toxicology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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.
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.
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Who cites it
20 citing papers in PubMed, 35 citations in OpenAlex.
- Expansion of preexisting cancer driver mutant clones is induced by the genotoxic carcinogen benzo[b]fluoranthene in MutaMouse lung.Toxicological sciences : an official journal of the Society of Toxicology · 2026Article
- S6K2 in Focus: Signaling Pathways, Post-Translational Modifications, and Computational Analysis.International journal of molecular sciences · 2024Review
- Modeling PAH Mixture Interactions in a Human In Vitro Organotypic Respiratory Model.International journal of molecular sciences · 2024Article
- The Long Goodbye: Finally Moving on from the Relative Potency Approach to a Mixtures Approach for Polycyclic Aromatic Hydrocarbons (PAHs).International journal of environmental research and public health · 2022Article
- Construction and evaluation of a nomogram for predicting survival in patients with lung cancer.Aging · 2022Article
- Comparative Analysis of Transcriptional Responses to Genotoxic and Non-Genotoxic Agents in the Blood Cell Model TK6 and the Liver Model HepaRG.International journal of molecular sciences · 2022Article
- Paving the way for application of next generation risk assessment to safety decision-making for cosmetic ingredients.Regulatory toxicology and pharmacology : RTP · 2021Article
- Linking Coregulated Gene Modules with Polycyclic Aromatic Hydrocarbon-Related Cancer Risk in the 3D Human Bronchial Epithelium.Chemical research in toxicology · 2021Article
- Classifying polycyclic aromatic hydrocarbons by carcinogenic potency using in vitro biosignatures.Toxicology in vitro : an international journal published in association with BIBRA · 2020Article
- Comparative mechanisms of PAH toxicity by benzo[a]pyrene and dibenzo[def,p]chrysene in primary human bronchial epithelial cells cultured at air-liquid interface.Toxicology and applied pharmacology · 2019Article
- Cancer-related proteins in serum are altered in workers occupationally exposed to polycyclic aromatic hydrocarbons: a cross-sectional study.Carcinogenesis · 2019Article
- Article
- Cytochrome bArchives of toxicology · 2018Article
- Environmentally prevalent polycyclic aromatic hydrocarbons can elicit co-carcinogenic properties in an in vitro murine lung epithelial cell model.Archives of toxicology · 2018Article
- Transcriptomics in toxicology.Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association · 2017Review
- A framework for the use of single-chemical transcriptomics data in predicting the hazards associated with complex mixtures of polycyclic aromatic hydrocarbons.Archives of toxicology · 2017Article
- Mechanistic roles of microRNAs in hepatocarcinogenesis: A study of thioacetamide with multiple doses and time-points of rats.Scientific reports · 2017Article
- Recommended approaches in the application of toxicogenomics to derive points of departure for chemical risk assessment.Archives of toxicology · 2017Article
- Oral exposure to commercially available coal tar-based pavement sealcoat induces murine genetic damage and mutations.Environmental and molecular mutagenesis · 2016Article
- Tissue-specific in vivo genetic toxicity of nine polycyclic aromatic hydrocarbons assessed using the Muta™Mouse transgenic rodent assay.Toxicology and applied pharmacology · 2016Article
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 3 countries.
Funding
Abstract
In this study, the accuracy of the assumption that genotoxic, carcinogenic polycyclic aromatic hydrocarbons (PAHs) act via similar mechanisms of action as benzo(a)pyrene (BaP), the reference PAH used in the human health risk assessment of PAH-containing complex mixtures, was investigated. Adult male Muta™Mouse were gavaged for 28 days with seven individual, genotoxic PAHs. Global gene expression profiles in forestomach, liver, and lung (target tissues of exposure) were determined at 3 days post-exposure. The results are compared with our previously published results from mice exposed to BaP via the same exposure regimen. Although all PAHs showed enhanced ethoxyresorufin-O-deethylase activity, DNA adduct formation, and lacZ mutant frequency in the lungs, the unsupervised cluster analysis of differentially expressed genes revealed that the transcriptional changes are both PAH- and tissue-specific, with lung showing the most response. Further bioinformatics-/pathway-based analysis revealed that all PAHs induce expression of genes associated with carcinogenic processes, including DNA damage response, immune/inflammatory response, or cell signaling processes; however, the type of pathways and the magnitude of change varied for each PAH and were not the same as those observed for BaP. Benchmark dose modeling showed transcriptomic data closely reflected the known tumor incidence for the individual PAHs in each tissue. Collectively, the results suggest that the underlying mechanisms of PAH-induced toxicity leading to tumorigenesis are tissue-specific and not the same for all PAHs; based on the tissue type considered, use of BaP as a reference chemical may overestimate or underestimate the carcinogenic potential of PAHs.
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Registered trials
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.