Evidence map›Paper›PMID 25836962›Full record

ArticleJournal of the American Association for Laboratory Animal Science : JAALAS2015

Improving prediction of carcinogenicity to reduce, refine, and replace the use of experimental animals.

Todd Bourcier, Tim McGovern, Lidiya Stavitskaya, Naomi Kruhlak, David Jacobson-Kram

Abstract read
In one paragraph

Article in Journal of the American Association for Laboratory Animal Science : JAALAS, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
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  5. Review
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  12. Frontiers in chemistry · 2019
    Article
  13. Article
  14. Special issue: global 3Rs efforts - making progress and gaining momentum.Journal of the American Association for Laboratory Animal Science : JAALAS · 2015
    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

5 authors.

Todd BourcierUS Food and Drug Administration, Center for Drug Evaluation and Research, Silver Spring, Maryland, USA. todd.bourcier@fda.hhs.gov.
Tim McGovernUS Food and Drug Administration, Center for Drug Evaluation and Research, Silver Spring, Maryland, USA.
Lidiya StavitskayaUS Food and Drug Administration, Center for Drug Evaluation and Research, Silver Spring, Maryland, USA.
Naomi KruhlakUS Food and Drug Administration, Center for Drug Evaluation and Research, Silver Spring, Maryland, USA.
David Jacobson-KramUS Food and Drug Administration, Center for Drug Evaluation and Research, Silver Spring, Maryland, USA; ToxRox Consulting, 5910 Chesterbrook Road, McLean, VA 22101, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer risk assessment of new pharmaceuticals is crucial to protect public health. However, clinical trials lack the duration needed to clearly detect drug-related tumor emergence, and biomarkers suggestive of increased cancer risk from a drug typically are not measured in clinical trials. Therefore, the carcinogenic potential of a new pharmaceutical is extrapolated predominately based on 2-y bioassays in rats and mice. A key drawback to this practice is that the results are frequently positive for tumors and can be irrelevant to human cancer risk for reasons such as dose, mode of action, and species specificity. Alternative approaches typically strive to reduce, refine, and replace rodents in carcinogenicity assessments by leveraging findings in short-term studies, both in silico and in vivo, to predict the likely tumor outcome in rodents or, more broadly, to identify a cancer risk to patients. Given the complexities of carcinogenesis and the perceived impracticality of assessing risk in the course of clinical trials, studies conducted in animals will likely remain the standard by which potential cancer risks are characterized for new pharmaceuticals in the immediate foreseeable future. However, a weight-of-evidence evaluation based on short-term toxicologic, in silico, and pharmacologic data is a promising approach to identify with reasonable certainty those pharmaceuticals that present a likely cancer risk in humans and, conversely, those that do not present a human cancer risk.

Indexed as

Animal ExperimentationAnimals, LaboratoryCarcinogenicity TestsAnimalsAnimal WelfareBiological AssayCarcinogensMiceRatsSpecies SpecificityCarcinogens

Identifiers

PMID25836962
PMCPMC4382620

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.