The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Polycyclic Aromatic Hydrocarbons: From Metabolism to Lung Cancer
Open accessAbstract
Excessive exposure to polycyclic aromatic hydrocarbons (PAHs) often results in lung cancer, a disease with the highest cancer mortality in the United States. After entry into the lung, PAHs induce phase I metabolic enzymes such as cytochrome P450 (CYP) monooxygenases, i.e. CYP1A1/2 and 1B1, and phase II enzymes such as glutathione S-transferases, UDP glucuronyl transferases, NADPH quinone oxidoreductases (NQOs), aldo-keto reductases (AKRs), and epoxide hydrolases (EHs), via the aryl hydrocarbon receptor (AhR)-dependent and independent pathways. Humans can also be exposed to PAHs through diet, via consumption of charcoal broiled foods. Metabolism of PAHs through the CYP1A1/1B1/EH pathway, CYP peroxidase pathway, and AKR pathway leads to the formation of the active carcinogens diol-epoxides, radical cations, and o-quinones. These reactive metabolites produce DNA adducts, resulting in DNA mutations, alteration of gene expression profiles, and tumorigenesis. Mutations in xenobiotic metabolic enzymes, as well as polymorphisms of tumor suppressor genes (e.g. p53) and/or genes involved in gene expression (e.g. X-ray repair cross-complementing proteins), are associated with lung cancer susceptibility in human populations from different ethnicities, gender, and age groups. Although various metabolic activation/inactivation pathways, AhR signaling, and genetic susceptibilities contribute to lung cancer, the precise points at which PAHs induce tumor initiation remain unknown. The goal of this review is to provide a current state-of-the-science of the mechanisms of human lung carcinogenesis mediated by PAHs, the experimental approaches used to study this complex class of compounds, and future directions for research of these compounds.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Hazards of heavy metal contamination
Järup, L. (2003) · British Medical Bulletin · doi:10.1093/bmb/ldg032 · Cited by 6,508
Preferential Formation of Benzo[ a ]pyrene Adducts at Lung Cancer Mutational Hotspots in P53
Denissenko, M. F., Pao, A., Tang, M.-S., & Pfeifer, G. P. (1996) · Science · doi:10.1126/science.274.5286.430 · Cited by 1,650
Distinct response to dioxin in an arylhydrocarbon receptor (AHR)-humanized mouse
Moriguchi, T., Motohashi, H., Hosoya, T., Nakajima, O., Takahashi, S., Ohsako, S., Aoki, Y., Nishimura, N., Tohyama, C., Fujii-Kuriyama, Y., et al. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1037886100 · Cited by 164
Cited by
Chen, Y.-J., Roumeliotis, T. I., Chang, Y.-H., Chen, C.-T., Han, C.-L., Lin, M.-H., Chen, H.-W., Chang, G.-C., Chang, Y.-L., Wu, C.-T., et al. (2020) · Cell · doi:10.1016/j.cell.2020.06.012 · Cited by 382
A catalogue of somatic NRF2 gain-of-function mutations in cancer
Kerins, M. J., & Ooi, A. (2018) · Scientific Reports · doi:10.1038/s41598-018-31281-0 · Cited by 140
Grishanova, A. Y., & Perepechaeva, M. L. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23126719 · Cited by 130
Pollution and Sun Exposure: A Deleterious Synergy. Mechanisms and Opportunities for Skin Protection
Marrot, L. (2019) · Current Medicinal Chemistry · doi:10.2174/0929867324666170918123907 · Cited by 125
Deng, Q., Dai, X., Feng, W., Huang, S., Yuan, Y., Xiao, Y., Zhang, Z., Deng, N., Deng, H., Zhang, X., et al. (2019) · Environment International · doi:10.1016/j.envint.2018.11.056 · Cited by 81
De Craemer, S., Croes, K., van Larebeke, N., Sioen, I., Schoeters, G., Loots, I., Nawrot, T., Nelen, V., Campo, L., Fustinoni, S., et al. (2016) · Chemosphere · doi:10.1016/j.chemosphere.2016.04.017 · Cited by 47
Chen, J., Rodopoulou, S., Strak, M., de Hoogh, K., Taj, T., Poulsen, A. H., Andersen, Z. J., Bellander, T., Brandt, J., Zitt, E., et al. (2022) · British Journal of Cancer · doi:10.1038/s41416-022-01735-4 · Cited by 43
Genome-wide mapping of genomic DNA damage: methods and implications
Amente, S., Scala, G., Majello, B., Azmoun, S., Tempest, H. G., Premi, S., & Cooke, M. S. (2021) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-021-03923-6 · Cited by 33
Metadata
- Authors
- Moorthy, B., Chu, C., & Carlin, D. J.
- Venue
- Toxicological Sciences
- Publisher
- Oxford University Press (OUP)
- Published
- 2015-04-24
- Volume
- 145
- Issue
- 1
- Pages
- 5-15
- ISSN
- 1096-0929 (ISSN-L)
- 1096-6080
- OpenAlex
- W2062909384
- Cited by
- 801
- References
- 3
- FWCI
- 35.43
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.