The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Human urinary carcinogen metabolites: biomarkers for investigating tobacco and cancer
Abstract
Measurement of human urinary carcinogen metabolites is a practical approach for obtaining important information about tobacco and cancer. This review presents currently available methods and evaluates their utility. Carcinogens and their metabolites and related compounds that have been quantified in the urine of smokers or non-smokers exposed to environmental tobacco smoke (ETS) include trans,trans-muconic acid (tt-MA) and S-phenylmercapturic acid (metabolites of benzene), 1- and 2-naphthol, hydroxyphenanthrenes and phenanthrene dihydrodiols, 1-hydroxypyrene (1-HOP), metabolites of benzo[a]pyrene, aromatic amines and heterocyclic aromatic amines, N-nitrosoproline, 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol and its glucuronides (NNAL and NNAL-Gluc), 8-oxodeoxyguanosine, thioethers, mercapturic acids, and alkyladenines. Nitrosamines and their metabolites have also been quantified in the urine of smokeless tobacco users. The utility of these assays to provide information about carcinogen dose, delineation of exposed vs. non-exposed individuals, and carcinogen metabolism in humans is discussed. NNAL and NNAL-Gluc are exceptionally useful biomarkers because they are derived from a carcinogen- 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK)- that is specific to tobacco products. The NNAL assay has high sensitivity and specificity, which are particularly important for studies on ETS exposure. Other useful assays that have been widely applied involve quantitation of 1-HOP and tt-MA. Urinary carcinogen metabolite biomarkers will be critical components of future studies on tobacco and human cancer, particularly with respect to new tobacco products and strategies for harm reduction, the role of metabolic polymorphisms in cancer, and further evaluation of human carcinogen exposure from ETS.
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
Mortality from smoking worldwide
Peto, R., Lopez, A. D., Boreham, J., Thun, M., Heath, C., & Doll, R. (1996) · British Medical Bulletin · doi:10.1093/oxfordjournals.bmb.a011519 · Cited by 638
Cited by
Goniewicz, M. L., Smith, D. M., Edwards, K. C., Blount, B. C., Caldwell, K. L., Feng, J., Wang, L., Christensen, C., Ambrose, B., Borek, N., et al. (2018) · JAMA Network Open · doi:10.1001/jamanetworkopen.2018.5937 · Cited by 564
Self-citationDoes smoking reduction increase future cessation and decrease disease risk? A qualitative review
Hughes, J., & Carpenter, M. (2006) · Nicotine & Tobacco Research · doi:10.1080/14622200600789726 · Cited by 238
Effects of reduced cigarette smoking on the uptake of a tobacco-specific lung carcinogen
Hecht, S. S., Murphy, S. E., Carmella, S. G., Zimmerman, C. L., Losey, L., Kramarczuk, I., Roe, M. R., Puumala, S. S., Li, Y. S., Le, C., et al. (2004) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/djh016 · Cited by 101
Self-citation
Metadata
- Authors
- Hecht, S. S.
- Venue
- Carcinogenesis
- Publisher
- Oxford University Press (OUP)
- Published
- 2002-06
- Volume
- 23
- Issue
- 6
- Pages
- 907-922
- ISSN
- 0143-3334 (ISSN-L)
- 1460-2180
- OpenAlex
- W2171924267
- Cited by
- 404
- References
- 1
- FWCI
- 6.45
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Human urinary carcinogen metabolites: biomarkers for investigating tobacco and cancer. https://app.cochat.ai/papers/10.1093/carcin/23.6.907
- The paper
- Hecht, S. S. (2002). Human urinary carcinogen metabolites: biomarkers for investigating tobacco and cancer. Carcinogenesis. https://doi.org/10.1093/carcin/23.6.907
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.