Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Transcriptional Biomarkers to Predict Female Mouse Liver Tumors in Rodent Cancer Bioassays - A 26 Chemical Set

ABSTRACT: Two-year rodent bioassays play a central role in evaluating both the carcinogenic potential of a chemical and generating quantitative information on the dose-response behavior for chemical risk assessments. The bioassays involved are expensive and time-consuming, requiring nearly lifetime exposures (two years) in mice and rats and costing $2 to $4 million per chemical. Since there are approximately 80,000 chemicals registered for commercial use in the United States and 2,000 more are added each year, applying animal bioassays to all chemicals of concern is clearly impossible. To efficiently and economically identify carcinogens prior to widespread use and human exposure, alternatives to the two-year rodent bioassay must be developed. In this study, animals were exposed for 13 weeks to 10 chemicals that were positive for liver tumors in the two-year rodent bioassay, 14 chemicals that were negative for liver tumors, and two chemicals that produced an equivocal response. Matched vehicle control groups were run concurrently with each chemical treatment. Gene expression analysis was performed on the livers of the animals to assess the potential for identifying gene expression biomarkers and signaling pathways that can predict tumor formation in a two-year bioassay following a 13 week exposure. Five-week-old female B6C3F1 mice were exposed for 13 weeks to 26 chemicals. The chemical and dose information are provided with the individual sample annotations. With each chemical treatment, a matched vehicle control group was run concurrently with the exposure. A subset of five chemicals, methylene chloride, naphthalene, 1,2,3-trichloropropane, propylene glycol mono-t-butyl ether, and 1,4-dichlorobenzene, were performed in a five-point dose response with matched control groups. The concentrations for these exposures overlapped those in the original cancer bioassay. Gavage exposures were administered 5 days per week and feed exposures were provided 7 days per week. For inhalation exposures, mice were exposed 6 hr per day, 5 days per week. After 13 weeks, animals were euthanized and livers were collected. The right, caudate and median liver lobes were minced together and used for microarray analysis. Microarray analysis was performed on the livers of three to five mice per treatment group.

ORGANISM(S): Mus musculus

SUBMITTER: Russell Scott Thomas

PROVIDER: E-GEOD-18858 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Application of transcriptional benchmark dose values in quantitative cancer and noncancer risk assessment.

Thomas Russell S RS Clewell Harvey J HJ Allen Bruce C BC Wesselkamper Scott C SC Wang Nina Ching Y NC Lambert Jason C JC Hess-Wilson Janet K JK Zhao Q Jay QJ Andersen Melvin E ME

Toxicological sciences : an official journal of the Society of Toxicology 20101122 1

The traditional approach for estimating noncancer and cancer reference values in quantitative chemical risk assessment is time and resource intensive. The extent and nature of the studies required under the traditional approach has limited the number of chemicals with published risk assessments. In this study, female mice were exposed for 13 weeks to multiple concentrations of five chemicals that were positive in a 2-year cancer bioassay. Traditional histological and organ weight changes were ev ...[more]

PMID: 21097997

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Project description:The primary goal of toxicology and safety testing is to identify agents that have the potential to cause adverse effects in humans. Unfortunately, many of these tests have not changed significantly in the past 30 years and most are inefficient, costly, and rely heavily on the use of animals. The rodent cancer bioassay is one of these safety tests and was originally established as a screen to identify potential carcinogens that would be further analyzed in human epidemiological studies. Today, the rodent cancer bioassay has evolved into the primary means to determine the carcinogenic potential of a chemical and generate quantitative information on dose-response behavior in chemical risk assessments. Due to the resource-intensive nature of these studies, each bioassay costs $2 to $4 million and takes over three years to complete. Over the past 30 years, only 1,468 chemicals have been tested in a rodent cancer bioassay. By comparison, approximately 9,000 chemicals are used by industry in quantities greater than 10,000 lbs and nearly 90,000 chemicals have been inventoried by the U.S. Environmental Protection Agency as part of the Toxic Substances Control Act. Given the disparity between the number of chemicals tested in a rodent cancer bioassay and the number of chemicals used by industry, a more efficient and economical system of identifying chemical carcinogens needs to be developed. Experiment Overall Design: Five-week old female B6C3F1 mice were exposed for 13 weeks in the following dose groups: 1) 1,5-Naphthalenediamine, CAS No. 2243-62-1, feed, 2000 ppm, positive lung carcinogen; 2) 2,3-Benzofuran, CAS No. 271-89-6, gavage, 240 mg/kg, positive lung carcinogen; 3) 2,2-Bis(bromomethyl)-1,3-propanediol, CAS No. 3296-90-0, feed, 1250 ppm, positive lung carcinogen; 4) N-Methylolacrylamide, CAS No. 924-42-5, gavage (water), 50 mg/kg, positive lung carcinogen; 5) 1,2-Dibromoethane, CAS No. 106-93-4, gavage (corn oil), 62 mg/kg, positive lung carcinogen; 6) Coumarin, CAS No. 91-64-5, gavage (corn oil), 200 mg/kg, positive lung carcinogen; 7) Benzene, CAS No. 71-43-2, gavage (corn oil), 100 mg/kg, positive lung carcinogen; 8) N-(1-naphthyl)ethylenediamine dihydrochloride, CAS No. 1465-25-4, feed, 2000 ppm, negative lung carcinogen; 9) Pentachloronitrobenzene, CAS No. 82-68-8, feed, 8187 ppm, negative lung carcinogen; 10) 4-Nitroanthranilic acid, CAS No. 619-17-0, feed, 10000 ppm, negative lung carcinogen; 11) 2-Chloromethylpyridine hydrochloride, CAS No. 6959-47-3, gavage (water), 250 mg/kg, negative lung carcinogen; 12) Diazinon, CAS No. 333-41-5, feed, 200 ppm, negative lung carcinogen; 13) Malathion, CAS No. 121-75-5, feed, 16000 ppm, negative lung carcinogen; 14) Corn oil control, gavage; 15) Water control, gavage; 16) Rodent diet control, feed. Feed animals were exposed 7 days/week and gavage animals were exposed 5 days/week (5 ml/kg). After 13 weeks, animals were euthanized and lungs were collected. The right lobe was used for microarray analysis. Microarray analysis was performed on the lungs of three to four mice per treatment group.

Project description:ß-chloroprene (2-chloro-1,3-butadiene), a monomer used in the production of neoprene elastomers, is of regulatory interest due to the production of multi-organ tumors in mouse and rat cancer bioassays. A significant increase in female mouse lung tumors was observed at the lowest exposure concentration of 12.8 ppm while a small, but not statistically significant, increase was observed in female rats only at the highest exposure concentration of 80 ppm. The metabolism of chloroprene results in the generation of reactive epoxides and the rate of overall chloroprene metabolism is highly species dependent. To identify potential key events in the mode-of-action of chloroprene lung tumorigenesis, dose response and time course gene expression microarray measurements were made in the lungs of female mice and female rats. The gene expression changes were analyzed using both a traditional analysis of variance approach followed by pathway enrichment analysis and a pathway-based benchmark dose (BMD) analysis approach. Pathways related to glutathione biosynthesis and metabolism were the primary pathways consistent with cross-species differences in tumor incidence and transcriptional BMD values for the pathway were more similar to differences in tumor response than were estimated target tissue dose surrogates based on the total amount of chloroprene metabolized per unit mass of lung tissue per day. The closer correspondence of the transcriptional changes with the tumor response are likely due to their reflection of the overall balance between metabolic activation and detoxication reactions whereas the current tissue dose surrogate reflects only oxidative metabolism. Female mice (B6C3F1/Crl) were exposed to chloroprene (CAS 126-99-8) by whole-body inhalation exposure at 0, 0.3, 2, 13, or 90 ppm. Exposures were performed for 6 hr/day, 5 days per week. The animals were sacrified at 5 days or 19 days (15 exposure days) post initiation of exposure. The right lung was excised and gene expression microarray analysis was performed using Affymetrix Mouse 430_2 arrays. Female rats (F344/NCrl) were exposed to chloroprene (CAS 126-99-8) by whole-body inhalation exposure at 0, 5, 30, 90, or 200 ppm. Exposures were performed for 6 hr/day, 5 days per week. The animals were sacrified at 5 days or 19 days (15 exposure days) post initiation of exposure. The right lung was excised and gene expression microarray analysis was performed using Affymetrix Rat 230_2 arrays.

Project description:The process for evaluating chemical safety is inefficient, costly, and animal intensive. There is growing consensus that the current process of safety testing needs to be significantly altered to improve efficiency and reduce the number of untested chemicals. In this study, the use of short-term gene expression profiles was evaluated for predicting the increased incidence of mouse lung tumors. Animals were exposed to a total of 26 diverse chemicals with matched vehicle controls over a period of three years. Upon completion, significant batch-related effects were observed. Adjustment for batch effects significantly improved the ability to predict increased lung tumor incidence. For the best statistical model, the estimated predictive accuracy under honest five-fold cross-validation was 79.3% with a sensitivity and specificity of 71.4 and 86.3%, respectively. A learning curve analysis demonstrated that gains in model performance reached a plateau at 25 chemicals, indicating that the size of the current data set was sufficient to provide a robust classifier. The classification results showed a small subset of chemicals contributed disproportionately to the misclassification rate. For these chemicals, the misclassification was more closely associated with genotoxicity status than efficacy in the original bioassay. Statistical models were also used to predict dose-response increases in tumor incidence for methylene chloride and naphthalene. The average posterior probabilities for the top models matched the results from the bioassay for methylene chloride. For naphthalene, the average posterior probabilities for the top models over-predicted the tumor response, but the variability in predictions were significantly higher. The study provides both a set of gene expression biomarkers for predicting chemically-induced mouse lung tumors as well as a broad assessment of important experimental and analysis criteria for developing microarray-based predictors of safety-related endpoints. Experiment Overall Design: Five-week-old female B6C3F1 mice were exposed for 13 weeks to 26 chemicals. The chemical and dose information are provided with the individual sample annotations. With each chemical treatment, a matched vehicle control group was run concurrently with the exposure. A subset of two chemicals, methylene chloride and naphthalene, were performed in a five-point dose response with a matched purified air control group. The concentrations for these exposures overlapped those in the original cancer bioassay. Gavage exposures were administered 5 days per week and feed exposures were provided 7 days per week. For inhalation exposures, mice were exposed 6 hr per day, 5 days per week. After 13 weeks, animals were euthanized and lungs were collected. The right lobe was used for microarray analysis. Microarray analysis was performed on the lungs of three to four mice per treatment group.

Project description:The number of legacy chemicals without toxicity reference values combined with the rate of new chemical development are overwhelming the capacity of the traditional risk assessment paradigm. More efficient approaches are needed to quantitatively estimate chemical risks. In this study, rats were dosed orally with multiple doses of six chemicals for 5 days, 2, 4, and 13 weeks. Target organs were analyzed for traditional histological and organ weight changes and transcriptional changes using microarrays. Histological and organ weight changes in this study and the tumor incidences in the original cancer bioassays were analyzed using benchmark dose (BMD) methods to identify noncancer and cancer points-of-departure. The dose-response changes in gene expression were also analyzed using BMD methods and the responses grouped based on signaling pathways. A comparison of transcriptional BMD values for the most sensitive pathway with BMD values for the noncancer and cancer apical endpoints showed a high degree of correlation at all time points. When the analysis included data from an earlier study with 8 additional chemicals, transcriptional BMD values for the most sensitive pathway were significantly correlated with noncancer (r = 0.827, p = 0.0031) and cancer-related (r = 0.940, p = 0.0002) BMD values at 13 weeks. The average ratio of apical-to-transcriptional BMD values was less than two suggesting that for the current chemicals, transcriptional perturbation did not occur at significantly lower doses than apical responses. Based on our results, we propose a practical framework for application of transcriptomic data to chemical risk assessment. Four to five week-old rats were exposed in dose-response and for multiple durations to 6 chemicals. The chemicals were 1,2,4-tribromobenzene (CAS No. 615-54-3), 2,3,4,6-tetrachlorophenol (CAS No. 58-90-2), bromobenzene (CAS No. 108-86-1), 4,4'-methylenebis(N,N-dimethyl)benzenamine (CAS No. 101-61-1), hydrazobenzene (CAS No. 122-66-7), N-nitrosodiphenylamine (CAS No. 86-30-6). For 1,2,4-tribromobenzene and 2,3,4,6-tetrachlorophenol, male Sprague Dawley (Rat/Crl:CD(SD)) rats were used. For bromobenzene and hydroazobenzene, male F344/DuCrl rats were used. For 4,4'-methylenebis(N,N-dimethyl)benzenamine and N-nitrosodiphenylamine, female F344/DuCrl rats were used. The exposure durations were 5 days, 2 weeks, 4 weeks, and 13 weeks. The dose and route of exposure are provided with the individual sample annotations. With each chemical treatment, a matched vehicle control group was run concurrently with the exposure. Gavage exposures were administered 7 days per week and feed exposures were provided 7 days per week. At the appropriate time point, animals were euthanized with a lethal intraperitoneal injection of sodium pentobarbital. For the liver, slices from each of the lobes were mixed together and used for microarray analysis. For the thyroid, the gland was transversely sectioned and the bottom portion was used for microarray analysis. For the bladder, the organ was longitudinally bisected, a slice was removed for histology and the remainder of the organ was minced and used for microarray analysis. Microarrays were run on five rats per dose per time point.

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Project description:Formaldehyde (FA), an endogenous cellular aldehyde, is a rat nasal carcinogen. In this study, concentration- and exposure-duration transitions in FA mode of action (MOA) were examined with pharmacokinetic (PK) modeling for tissue formaldehyde acetal (FAcetal) and glutathione (GSH) and with histopathology and gene expression studies for tissue responses in nasal epithelium from rats exposed to 0, 0.7, 2, 6, 10 or 15 ppm FA 6 hr/day for 1, 4 or 13 weeks. The study had two goals. The first goal was to develop a basic PK model to estimate various forms of tissue formaldehyde and tissue glutathione (GSH). The second goal was to compare histopathology and gene expression changes in nasal tissues caused by inhalation of FA with changes in tissue FAcetal and free GSH calculated from the PK model. Patterns of gene expression varied with concentration and with duration. At 0.7 and 2 ppm, sensitive response genes (SRGs) - associated with cellular stress, thiol transport/reduction, inflammation, and cell proliferation - were similarly upregulated at all exposure durations. At 6 ppm and greater, gene expression changes showed enrichment of pathways involved in cell cycle, DNA repair, and apoptosis processes. ERBB, EGFR, WNT, TGF-β, Hedgehog, and Notch signaling were also enriched in differentially expressed genes. Benchmark doses (BMDs) for genes in significantly enriched pathways were lower at 13 weeks than at 1 or 4-week. The transcriptional and histological changes corresponded to PK model-predicted changes in free GSH at 0.7 and 2 ppm and in FAcetal at 6 ppm. DNA-replication stress, enhanced proliferation, metaplasia, and stem cell-niche activation appear to be associated with FA carcinogenesis at 6 ppm and above. Dose dependencies in MOA, the presence of high physiological FAcetal, and non-linear FAcetal/GSH tissue kinetics indicate that FA concentrations below 150 ppb (and probably any concentrations below irritant levels, i.e., ~ 1 ppm) would not increase cancer risks of inhaled FA in the nose or any other tissue. Closer examination of dose response relationships for endogenous compound toxicity could help guide biologically relevant approaches for chemical risk assessment. Eight week old male F344/CrlBR rats were exposed to formaldehyde through whole body inhalation. Whole-body exposures were performed at doses of 0, 0.7, 2, 6, 10, and 15 ppm (6 hours per day, 5 days per week). Inhalation animals were sacrified at 1, 4, and 13 weeks following initiation of exposure. Following sacrifice, tissue from the Level II region of the nose was dissected and digested with a mixture of proteases to remove the epithelial cells. The epithelial cells acquired from this section of the nose consisted primarily of transitional epithelium with some respiratory epithelium. Gene expression microarray analysis was performed on the epithelial cells.

Dataset Information

Transcriptional Biomarkers to Predict Female Mouse Liver Tumors in Rodent Cancer Bioassays - A 26 Chemical Set

Publications

Application of transcriptional benchmark dose values in quantitative cancer and noncancer risk assessment.

Similar Datasets

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