Evidence map›Paper›PMID 17113817›Full record

ReviewMutation research2007

Report of the IWGT working group on strategy/interpretation for regulatory in vivo tests II. Identification of in vivo-only positive compounds in the bone marrow micronucleus test.

D J Tweats, D Blakey, R H Heflich, A Jacobs, S D Jacobsen, T Morita, T Nohmi, M R O'Donovan, Y F Sasaki, T Sofuni and 2 more

Abstract readReview
In one paragraph

Review in Mutation research, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. How accurate is in vitro prediction of carcinogenicity?British journal of pharmacology · 2011
    Review
  11. 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

12 authors.

D J TweatsCentre for Molecular Genetics and Toxicology, University of Wales Swansea, UK. djtweats@fish.co.uk
D Blakey
R H Heflich
A Jacobs
S D Jacobsen
T Morita
T Nohmi
M R O'Donovan
Y F Sasaki
T Sofuni
R Tice
IWGT Working Group

Funding

Intramural NIH HHS Z99 ES999999
6 · The paper itself

Abstract

A survey conducted as part of an International Workshop on Genotoxicity Testing (IWGT) has identified a number of compounds that appear to be more readily detected in vivo than in vitro. The reasons for this property varies from compound to compound and includes metabolic differences; the influence of gut flora; higher exposures in vivo compared to in vitro; effects on pharmacology, in particular folate depletion or receptor kinase inhibition. It is possible that at least some of these compounds are detectable in vitro if a specific in vitro test is chosen as part of the test battery, but the 'correct' choice of test may not always be obvious when testing a compound of unknown genotoxicity. It is noted that many of the compounds identified in this study interfere with cell cycle kinetics and this can result in either aneugenicity or chromosome breakage. A decision tree is outlined as a guide for the evaluation of compounds that appear to be genotoxic agents in vivo but not in vitro. The regulatory implications of these findings are discussed.

Indexed as

AnimalsBenzeneBone MarrowEnzyme InhibitorsGlutamatesGuanineMAP Kinase Kinase KinasesMicronucleus TestsMorphinePemetrexedRodentiaSensitivity and SpecificitySulfapyridineSulfasalazineUrethaneBenzeneEnzyme InhibitorsGlutamatesGuanineMAP Kinase Kinase KinasesMorphinePemetrexedSulfapyridineSulfasalazineUrethane

Identifiers

PMID17113817
PMCPMC2790421

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.