Evidence map›Paper›PMID 33084515›Full record

ArticleToxicologic pathology2020

Thresholds Derived From Common Measures in Rat Studies Are Predictive of Liver Tumorigenic Chemicals.

J Christopher Corton, Katharine L Korunes, Jaleh Abedini, Hisham El-Masri, Jason Brown, Katie Paul-Friedman, Ying Liu, Cari Martini, Shihan He, John Rooney

Abstract read
In one paragraph

Article in Toxicologic pathology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

10 authors.

J Christopher CortonCenter for Computational Toxicology and Exposure, U.S. EPA, Research Triangle Park, NC, USA.ORCID 0000-0002-6197-2036
Katharine L KorunesCenter for Computational Toxicology and Exposure, U.S. EPA, Research Triangle Park, NC, USA.
Jaleh AbediniCenter for Computational Toxicology and Exposure, U.S. EPA, Research Triangle Park, NC, USA.
Hisham El-MasriCenter for Computational Toxicology and Exposure, U.S. EPA, Research Triangle Park, NC, USA.
Jason BrownCenter for Computational Toxicology and Exposure, U.S. EPA, Research Triangle Park, NC, USA.
Katie Paul-FriedmanCenter for Computational Toxicology and Exposure, U.S. EPA, Research Triangle Park, NC, USA.
Ying LiuASRC Federal, Research Triangle Park, NC, USA.
Cari MartiniASRC Federal, Research Triangle Park, NC, USA.
Shihan HeASRC Federal, Research Triangle Park, NC, USA.
John RooneyCenter for Computational Toxicology and Exposure, U.S. EPA, Research Triangle Park, NC, USA.

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

We hypothesized that typical tissue and clinical chemistry (ClinChem) end points measured in rat toxicity studies exhibit chemical-independent biological thresholds beyond which cancer occurs. Using the rat in vivo TG-GATES study, 75 chemicals were examined across chemical-dose-time comparisons that could be linked to liver tumor outcomes. Thresholds for liver weight to body weight (LW/BW) and 21 serum ClinChem end points were defined as the maximum and minimum values for those exposures that did not lead to liver tumors in rats. Upper thresholds were identified for LW/BW (117%), aspartate aminotransferase (195%), alanine aminotransferase (141%), alkaline phosphatase (152%), and total bilirubin (115%), and lower thresholds were identified for phospholipids (82%), relative albumin (93%), total cholesterol (82%), and total protein (94%). Thresholds derived from the TG-GATES data set were consistent across other acute and subchronic rat studies. A training set of ClinChem and LW/BW thresholds derived from a 38 chemical training set from TG-GATES was predictive of liver tumor outcomes for a test set of 37 independent TG-GATES chemicals (91%). The thresholds were most predictive when applied to 7d treatments (98%). These findings provide support that biological thresholds for common end points in rodent studies can be used to predict chemical tumorigenic potential.

Indexed as

CarcinogenesisLiver NeoplasmsAlanine TransaminaseAnimalsAspartate AminotransferasesLiverRatsAlanine TransaminaseAspartate Aminotransferasesadverse outcome pathwayaryl hydrocarbon receptorclinical chemistryconstitutive activated receptorcytotoxicityestrogen receptorgenotoxicitykey eventsliver cancerliver weightmolecular initiating eventsperoxisome proliferator-activated receptor αtranscript profiling

Identifiers

PMID33084515
PMCPMC8610372

What OpenQuestion holds

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Registered trials

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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.