Evidence map›Paper›PMID 26163673›Full record

ReviewMutagenesis2016

Estimating the carcinogenic potency of chemicals from the in vivo micronucleus test.

Lya G Soeteman-Hernández, George E Johnson, Wout Slob

Open access · greenAbstract readReview
In one paragraph

Review in Mutagenesis, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.5field-weighted citation impact, top 11% of its field
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

23 citing papers in PubMed, 59 citations in OpenAlex.

  1. Review
  2. Critical comparison of BMD and TDArchives of toxicology · 2025
    Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
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  11. Molecules (Basel, Switzerland) · 2021
    Article
  12. Review
  13. Article
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  15. Article
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  17. Article
  18. Article
  19. Evaluation of the automated MicroFlowArchives of toxicology · 2017
    Article
  20. Update: use of the benchmark dose approach in risk assessment.EFSA journal. European Food Safety Authority · 2017
    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

3 authors at 1 institution in 1 country.

Lya G Soeteman-Hernández
George E JohnsonInstitute of Life Science, Swansea University, Singleton Park, Swansea SA2 8PP Wales, UK.
Wout SlobCentre for Nutrition, Prevention and Care, National Institute for Public Health and the Environment (RIVM), P.O. Box 1, 3720 BA, Bilthoven, The Netherlands wout.slob@rivm.nl.
National Institute for Public Health and the Environment · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we investigated the applicability of using in vivo mouse micronucleus (MN) data to derive cancer potency information. We also present a new statistical methodology for correlating estimated potencies between in vivo MN tests and cancer studies, which could similarly be used for other systems (e.g. in vitro vs. in vivo genotoxicity tests). The dose-response modelling program PROAST was used to calculate benchmark doses (BMDs) for estimating the genotoxic and carcinogenic potency for 48 compounds in mice; most of the data were retrieved from the National Toxicology Program (NTP) database, while some additional data were retrieved from the Carcinogenic Potency Database and published studies. BMD05s (doses with 5% increase in MN frequency) were derived from MN data, and BMD10s (doses with 10% extra cancer risk) were derived from carcinogenicity data, along with their respective lower (BMDL) and upper (BMDU) confidence bounds. A clear correlation between the in vivo MN BMD05s and the cancer BMD10s was observed when the lowest BMD05 from the in vivo MN was plotted against the lowest BMD10 from the carcinogenicity data for each individual compound. By making a further selection of BMDs related to more or less equally severe cancer lesions, the correlation was considerably improved. Getting a general scientific consensus on how we can quantitatively compare different tumour lesion types and investigating the impact of MN study duration are needed to refine this correlation analysis. Nevertheless, our results suggest that a BMD derived from genotoxicity data might provide a prediction of the tumour potency (BMD10) with an uncertainty range spanning roughly a factor of 100.

Indexed as

DNA DamageModels, BiologicalAnimalsCarcinogenesisCarcinogensDatabases, FactualDNADose-Response Relationship, DrugMiceMicronucleus TestsMutagensNeoplasmsCarcinogensDNAMutagens

Identifiers

PMID26163673
PMCPMC5909889
OpenAlexW1919456477

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.