Cited by 23Occupational and environmental lung diseasesCarcinogens and Genotoxicity AssessmentOccupational Health and Global Justice

Asbestos: Modern Insights for Toxicology in the Era of Engineered Nanomaterials

Open access
Felley-Bosco, Emanuela, MacFarlane, Marion·2018·Chemical Research in Toxicology

Abstract

Asbestos fibers are naturally occurring silicates that have been extensively used in the past, including house construction, but because of their toxicity, their use has been banned in 63 countries. Despite this, more than one million metric tons of asbestos are still consumed annually in countries where asbestos use has not been banned. Asbestos-related disease incidence is still increasing in several countries, including those countries that banned the use of asbestos more than 30 years ago. We highlight here recent knowledge obtained in experimental models about the mechanisms leading to tumor development following asbestos exposure, including genetic and epigenetic changes. Importantly, the landscape of alterations observed experimentally in tumor samples is consistent with alterations observed in clinical tumor samples; therefore, studies performed on early/precancer stages should help inform secondary prevention, which remains crucial in the absence of an efficient primary prevention. Knowledge gathered on asbestos should also help address future challenges, especially in view of the increased production of new materials that may behave similarly to asbestos fibers.

Integrity signals

Registry

Crossref · 10.1021/acs.chemrestox.8b00146

Cites

159 of 159 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Felley-Bosco, E., & MacFarlane, M.
Affiliations
  • Laboratory of Molecular Oncology, University Hospital Zurich, Sternwartstrasse 14, 8091 Zürich, Switzerland
  • University of Cambridge (GB)
Venue
Chemical Research in Toxicology
Published
2018-08-29
Volume
31
Issue
10
Pages
994-1008
ISSN
  • 0893-228X (ISSN-L)
  • 1520-5010
OpenAlex
W2889101753
Cited by
23
References
158
Citations by year
2026: 1 · 2025: 2 · 2023: 4 · 2022: 4 · 2021: 4 · 2020: 4 · 2019: 3 · 2018: 1
FWCI
2.23
Type
journal article
Language
en
Open access
Licence
other-oa
Locations
  • Chemical Research in Toxicology (publishedVersion)
  • PubMed (publishedVersion)
  • Zurich Open Repository and Archive (University of Zurich) (acceptedVersion, other-oa)
  • Zurich Open Repository and Archive (University of Zurich) (submittedVersion, other-oa)
  • Zurich Open Repository and Archive (University of Zurich)
Funders
  • Medical Research Council
  • Schweizerischer Nationalfonds zur F?rderung der Wissenschaftlichen Forschung (CRSII3_147697)
  • Stiftung f?r Angewandte Krebsforschung
  • Walter-Bruckerhoff-Stiftung
Topics
  • Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Occupational and environmental lung diseases
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Carcinogens and Genotoxicity Assessment
  • Social Sciences › Health › Occupational Health and Global Justice
Keywords
asbestos, asbestos-related diseases, tumor development mechanisms, genetic alterations, epigenetic modifications, engineered nanomaterials, secondary prevention, asbestos exposure, carcinogenesis
MeSH terms
NLR Family, Pyrin Domain-Containing 3 Protein, Air Pollutants, Asbestos, Female, Humans, Lung Neoplasms, Male, Mesothelioma, Mutation, Survival Rate, Tumor Suppressor Protein p53, Cyclin-Dependent Kinase Inhibitor p16, Tumor Suppressor Proteins, Ubiquitin Thiolesterase, Nanostructures

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