AhR Activation in Pharmaceutical Development: Applying Liver Gene Expression Biomarker Thresholds to Identify Doses Associated With Tumorigenic Risks in Rats

2019 ◽  
Vol 171 (1) ◽  
pp. 46-55 ◽  
Author(s):  
Chunhua Qin ◽  
Amy G Aslamkhan ◽  
Kara Pearson ◽  
Keith Q Tanis ◽  
Alexei Podtelezhnikov ◽  
...  

Abstract Aryl hydrocarbon receptor (AhR) activation is associated with carcinogenicity of non-genotoxic AhR-activating carcinogens such as 2,3,7,8-tetrachlorodibenzodioxin (TCDD), and is often observed with drug candidate molecules in development and raises safety concerns. As downstream effectors of AhR signaling, the expression and activity of Cyp1a1 and Cyp1a2 genes are commonly monitored as evidence of AhR activation to inform carcinogenic risk of compounds in question. However, many marketed drugs and phytochemicals are reported to induce these Cyps modestly and are not associated with dioxin-like toxicity or carcinogenicity. We hypothesized that a threshold of AhR activation needs to be surpassed in a sustained manner in order for the dioxin-like toxicity to manifest, and a simple liver gene expression signature based on Cyp1a1 and Cyp1a2 from a short-term rat study could be used to assess AhR activation strength and differentiate tumorigenic dose levels from non-tumorigenic ones. To test this hypothesis, short-term studies were conducted in Wistar Han rats with 2 AhR-activating carcinogens (TCDD and PCB126) at minimally carcinogenic and noncarcinogenic dose levels, and 3 AhR-activating noncarcinogens (omeprazole, mexiletine, and canagliflozin) at the top doses used in their reported 2-year rat carcinogenicity studies. A threshold of AhR activation was identified in rat liver that separated a meaningful “tumorigenic-strength AhR signal” from a statistically significant AhR activation signal that was not associated with dioxin-like carcinogenicity. These studies also confirmed the importance of the sustainability of AhR activation for carcinogenic potential. A sustained activation of AhR above the threshold could thus be used in early pharmaceutical development to identify dose levels of drug candidates expected to exhibit dioxin-like carcinogenic potential.

2005 ◽  
Vol 129 (6) ◽  
pp. 2064-2075 ◽  
Author(s):  
Tarik Asselah ◽  
Ivan Bièche ◽  
Ingrid Laurendeau ◽  
Valérie Paradis ◽  
Dominique Vidaud ◽  
...  

Toxicology ◽  
2015 ◽  
Vol 336 ◽  
pp. 99-112 ◽  
Author(s):  
Keiyu Oshida ◽  
Naresh Vasani ◽  
Russell S. Thomas ◽  
Dawn Applegate ◽  
Frank J. Gonzalez ◽  
...  

2003 ◽  
Vol 75 (11-12) ◽  
pp. 2419-2422 ◽  
Author(s):  
T. Shirai ◽  
Makoto Asamoto

Toxicogenomics can be expected to be a useful method for detecting the carcinogenic potential of endocrine active substances (EASs) in the short term with the generation of understanding of mode-of-action and mechanisms when a reliable database with information about proteomics and informatics is established. At present, there are no concrete epidemiological data supporting any exogenous EAS contribution to hormone-related organ carcinogenesis in humans. However, with the establishment of appropriate animal models and analysis of genomic-scale gene expression, risk identification and evaluation should be facilitated within a relatively short period, and this approach eventually promises to contribute a great deal of risk management regarding EASs.


2010 ◽  
Vol 138 (5) ◽  
pp. S-837
Author(s):  
A. Ducès ◽  
M. Lapalus ◽  
Ivan Bièche ◽  
Benedicte Jardin-Watelet ◽  
Eve Dupas ◽  
...  

2009 ◽  
Vol 19 (3) ◽  
pp. 177-183 ◽  
Author(s):  
M. Hietaniemi ◽  
M. Jokela ◽  
M. Rantala ◽  
O. Ukkola ◽  
J.T. Vuoristo ◽  
...  

2020 ◽  
Vol 177 (1) ◽  
pp. 11-26 ◽  
Author(s):  
J Christopher Corton ◽  
Thomas Hill ◽  
Jeffrey J Sutherland ◽  
James L Stevens ◽  
John Rooney

Abstract Chemical-induced liver cancer occurs in rodents through well-characterized adverse outcome pathways. We hypothesized that measurement of the 6 most common molecular initiating events (MIEs) in liver cancer adverse outcome pathways in short-term assays using only gene expression will allow early identification of chemicals and their associated doses that are likely to be tumorigenic in the liver in 2-year bioassays. We tested this hypothesis using transcript data from a rat liver microarray compendium consisting of 2013 comparisons of 146 chemicals administered at doses with previously established effects on rat liver tumor induction. Five MIEs were measured using previously characterized gene expression biomarkers composed of gene sets predictive for genotoxicity and activation of 1 or more xenobiotic receptors (aryl hydrocarbon receptor, constitutive activated receptor, estrogen receptor, and peroxisome proliferator-activated receptor α). Because chronic injury can be important in tumorigenesis, we also developed a biomarker for cytotoxicity that had a 96% balanced accuracy. Characterization of the genes in each biomarker set using the unsupervised TXG-MAP network model demonstrated that the genes were associated with distinct functional coexpression modules. Using the Toxicological Priority Index to rank chemicals based on their ability to activate the MIEs showed that chemicals administered at tumorigenic doses clearly gave the highest ranked scores. Balanced accuracies using thresholds derived from either TG-GATES or DrugMatrix data sets to predict tumorigenicity in independent sets of chemicals were up to 93%. These results show that a MIE-directed approach using only gene expression biomarkers could be used in short-term assays to identify chemicals and their doses that cause tumors.


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