TGx-DDI, a Transcriptomic Biomarker for Genotoxicity Hazard Assessment of Pharmaceuticals and Environmental Chemicals

Genotoxicity testing is an essential component of the safety assessment paradigm required by regulatory agencies world-wide for analysis of drug candidates, and environmental and industrial chemicals. Current genotoxicity testing batteries feature a high incidence of irrelevant positive findings—particularly for in vitro chromosomal damage (CD) assays. The risk management of compounds with positive in vitro findings is a major challenge and requires complex, time consuming, and costly follow-up strategies including animal testing. Thus, regulators are urgently in need of new testing approaches to meet legislated mandates. Using machine learning, we identified a set of transcripts that responds predictably to DNA-damage in human cells that we refer to as the TGx-DDI biomarker, which was originally referred to as TGx-28.65. We proposed to use this biomarker in conjunction with current genotoxicity testing batteries to differentiate compounds with irrelevant “false” positive findings in the in vitro CD assays from true DNA damaging agents (i.e., for de-risking agents that are clastogenic in vitro but not in vivo). We validated the performance of the TGx-DDI biomarker to identify true DNA damaging agents, assessed intra- and inter- laboratory reproducibility, and cross-platform performance. Recently, to augment the application of this biomarker, we developed a high-throughput cell-based genotoxicity testing system using the NanoString nCounter® technology. Here, we review the status of TGx-DDI development, its integration in the genotoxicity testing paradigm, and progress to date in its qualification at the US Food and Drug Administration (FDA) as a drug development tool. If successfully validated and implemented, the TGx-DDI biomarker assay is expected to significantly augment the current strategy for the assessment of genotoxic hazards for drugs and chemicals.

[1]  J. Corton,et al.  Assessment of the performance of the TGx‐DDI biomarker to detect DNA damage‐inducing agents using quantitative RT‐PCR in TK6 cells , 2018, Environmental and molecular mutagenesis.

[2]  Andrew Williams,et al.  Using a gene expression biomarker to identify DNA damage‐inducing agents in microarray profiles , 2018, Environmental and molecular mutagenesis.

[3]  Brian E. Howard,et al.  A hybrid gene selection approach to create the S1500+ targeted gene sets for use in high-throughput transcriptomics , 2018, PloS one.

[4]  Jiri Aubrecht,et al.  Development and validation of a high-throughput transcriptomic biomarker to address 21st century genetic toxicology needs , 2017, Proceedings of the National Academy of Sciences.

[5]  A. Fornace,et al.  Integration of the TGx-28.65 genomic biomarker with the flow cytometry micronucleus test to assess the genotoxicity of disperse orange and 1,2,4-benzenetriol in human TK6 cells. , 2017, Mutation research.

[6]  A. Rashid,et al.  The TGx‐28.65 biomarker online application for analysis of transcriptomics data to identify DNA damage‐inducing chemicals in human cell cultures , 2017, Environmental and molecular mutagenesis.

[7]  P. White,et al.  Empirical analysis of BMD metrics in genetic toxicology part II: in vivo potency comparisons to promote reductions in the use of experimental animals for genetic toxicity assessment. , 2016, Mutagenesis.

[8]  George E Johnson,et al.  Genetic toxicology at the crossroads-from qualitative hazard evaluation to quantitative risk assessment. , 2016, Mutagenesis.

[9]  P. White,et al.  Empirical analysis of BMD metrics in genetic toxicology part I: in vitro analyses to provide robust potency rankings and support MOA determinations. , 2016, Mutagenesis.

[10]  Jiri Aubrecht,et al.  Application of the TGx‐28.65 transcriptomic biomarker to classify genotoxic and non‐genotoxic chemicals in human TK6 cells in the presence of rat liver S9 , 2016, Environmental and molecular mutagenesis.

[11]  Jiri Aubrecht,et al.  A predictive toxicogenomics signature to classify genotoxic versus non-genotoxic chemicals in human TK6 cells , 2015, Data in brief.

[12]  Jiri Aubrecht,et al.  Development of a toxicogenomics signature for genotoxicity using a dose‐optimization and informatics strategy in human cells , 2015, Environmental and molecular mutagenesis.

[13]  Jiri Aubrecht,et al.  Integration of metabolic activation with a predictive toxicogenomics signature to classify genotoxic versus nongenotoxic chemicals in human TK6 cells , 2015, Environmental and molecular mutagenesis.

[14]  Jiri Aubrecht,et al.  Comparison of toxicogenomics and traditional approaches to inform mode of action and points of departure in human health risk assessment of benzo[a]pyrene in drinking water , 2015, Critical reviews in toxicology.

[15]  C. M. Oslowski Stress Responses , 2015, Methods in Molecular Biology.

[16]  J. Bemis,et al.  Interpreting in vitro micronucleus positive results: Simple biomarker matrix discriminates clastogens, aneugens, and misleading positive agents , 2014, Environmental and molecular mutagenesis.

[17]  Masamitsu Ando,et al.  Usefulness of Monitoring γ-H2AX and Cell Cycle Arrest in HepG2 Cells for Estimating Genotoxicity Using a High-Content Analysis System , 2014, Journal of biomolecular screening.

[18]  A. Limonciel,et al.  An overview of transcriptional regulation in response to toxicological insult , 2012, Archives of Toxicology.

[19]  A. Nakamura,et al.  Recent developments in the use of γ -H2AX as a quantitative DNA double-strand break biomarker , 2011, Aging.

[20]  E. Dennis,et al.  Regulation of organelle and cell compartment signaling , 2011 .

[21]  M. Ronaghi,et al.  Ontology-Based Meta-Analysis of Global Collections of High-Throughput Public Data , 2010, PloS one.

[22]  Jiri Aubrecht,et al.  Voluntary exploratory data submissions to the US FDA and the EMA: experience and impact , 2010, Nature Reviews Drug Discovery.

[23]  Mayer Alvo,et al.  Testing for mean and correlation changes in microarray experiments: an application for pathway analysis , 2010, BMC Bioinformatics.

[24]  Shibing Deng,et al.  Characterization and interlaboratory comparison of a gene expression signature for differentiating genotoxic mechanisms. , 2009, Toxicological sciences : an official journal of the Society of Toxicology.

[25]  J. Kleinjans,et al.  Application of toxicogenomics to study mechanisms of genotoxicity and carcinogenicity. , 2009, Toxicology letters.

[26]  Jiri Aubrecht,et al.  Toxicogenomics: overview and potential applications for the study of non-covalent DNA interacting chemicals. , 2007, Mutation research.

[27]  Penny A. Jeggo,et al.  The role of double-strand break repair — insights from human genetics , 2006, Nature Reviews Genetics.

[28]  Lutz Müller,et al.  Evaluation of the ability of a battery of three in vitro genotoxicity tests to discriminate rodent carcinogens and non-carcinogens I. Sensitivity, specificity and relative predictivity. , 2005, Mutation research.

[29]  Michael L Bittner,et al.  Stress-specific signatures: expression profiling of p53 wild-type and -null human cells , 2005, Oncogene.

[30]  P. Russell,et al.  The DNA damage response: sensing and signaling. , 2004, Current opinion in cell biology.

[31]  Christopher J Bakkenist,et al.  Initiating Cellular Stress Responses , 2004, Cell.

[32]  G. Warnes,et al.  Differentiation of DNA reactive and non-reactive genotoxic mechanisms using gene expression profile analysis. , 2004, Mutation research.

[33]  Marilyn J Aardema,et al.  Identification of a gene expression profile that discriminates indirect-acting genotoxins from direct-acting genotoxins. , 2004, Mutation research.

[34]  S M Morris,et al.  Gene expression profiles and genetic damage in benzo(a)pyrene diol epoxide-exposed TK6 cells. , 2004, Mutation research.

[35]  D. Watson,et al.  Comparison of gene expression changes induced in mouse and human cells treated with direct‐acting mutagens , 2004, Environmental and molecular mutagenesis.

[36]  J W Green,et al.  A review of the genotoxicity of marketed pharmaceuticals. , 2001, Mutation research.

[37]  A. Fornace,et al.  Induction of heat shock protein transcripts and B2 transcripts by various stresses in Chinese hamster cells. , 1989, Experimental cell research.

[38]  A. Fornace,et al.  DNA damage-inducible transcripts in mammalian cells. , 1988, Proceedings of the National Academy of Sciences of the United States of America.

[39]  E. Zeiger,et al.  Salmonella mutagenicity tests: IV. Results from the testing of 300 chemicals , 1988, Environmental and molecular mutagenesis.

[40]  H. Liber,et al.  Mutation assay at the thymidine kinase locus in diploid human lymphoblasts. , 1982, Mutation research.

[41]  T. Skopek,et al.  Isolation of a human lymphoblastoid line heterozygous at the thymidine kinase locus: possibility for a rapid human cell mutation assay. , 1978, Biochemical and biophysical research communications.

[42]  S. Kazmer,et al.  The effect of methylxanthines on chromosomes of human lyphocytes in culture. , 1975, Mutation research.