MicroRNA and mRNA biomarkers for short-term in vivo genotoxic and non-genotoxic carcinogen classification
Ontology highlight
ABSTRACT:
ORGANISM(S): Mus musculus Rattus norvegicus Homo sapiens
PROVIDER: GSE43847 | GEO | 2014/04/01
SECONDARY ACCESSION(S): PRJNA187575
REPOSITORIES: GEO
Similar Datasets
Project description:Many innovative techniques and scientific improvements are available to tackle societal concerns, like public health safety and confining the risk of cancerous exposure to chemicals, but have not been thoroughly tested and implicated yet. We investigated if microRNA and mRNA transcription profiles can be implemented in a short-term carcinogen classifier assay. Our study is additionally focusing on the drawbacks of present-day carcinogen screening strategies and also aims to contribute to a more ethical approach towards animal use and welfare within risk assessment. Since current in vitro and in silico assays are still not able to mimic the in vivo situation accurately we set out to develop an alternative short-term in vivo assay. Five genotoxic, seven non-genotoxic and five non-carcinogen exposure studies were used to investigate if murine hepatic microRNA and mNA profiles after 7-day exposure are suitable tools to classify carcinogens. Classification analyses showed that a small transcript set, consisting of both microRNA and mRNA, is able to classify the genotoxic, non-genotoxic and non-carcinogens tested with 100% accuracy. The results indicate that microRNAs have the potential to be used as transcriptional classifiers and that a short-term transcriptional classifier assay in mice can be a powerful tool in carcinogenicity risk assessment. Since current in vitro and in silico assays are still not able to mimic the in vivo situation accurately we set out to develop an alternative short-term in vivo assay. Five genotoxic, seven non-genotoxic and five non-carcinogen exposure studies were used to investigate if murine hepatic microRNA and mNA profiles after 7-day exposure are suitable tools to classify carcinogens. Classification analyses showed that a small transcript set, consisting of both microRNA and mRNA, is able to classify the genotoxic, non-genotoxic and non-carcinogens tested with 100% accuracy. The results indicate that microRNAs have the potential to be used as transcriptional classifiers and that a short-term transcriptional classifier assay in mice can be a powerful tool in carcinogenicity risk assessment.
2014-04-01 | GSE43977 | GEO
Project description:Many innovative techniques and scientific improvements are available to tackle societal concerns, like public health safety and confining the risk of cancerous exposure to chemicals, but have not been thoroughly tested and implicated yet. We investigated if microRNA and mRNA transcription profiles can be implemented in a short-term carcinogen classifier assay. Our study is additionally focusing on the drawbacks of present-day carcinogen screening strategies and also aims to contribute to a more ethical approach towards animal use and welfare within risk assessment. Since current in vitro and in silico assays are still not able to mimic the in vivo situation accurately we set out to develop an alternative short-term in vivo assay. Five genotoxic, seven non-genotoxic and five non-carcinogen exposure studies were used to investigate if murine hepatic microRNA and mNA profiles after 7-day exposure are suitable tools to classify carcinogens. Classification analyses showed that a small transcript set, consisting of both microRNA and mRNA, is able to classify the genotoxic, non-genotoxic and non-carcinogens tested with 100% accuracy. The results indicate that microRNAs have the potential to be used as transcriptional classifiers and that a short-term transcriptional classifier assay in mice can be a powerful tool in carcinogenicity risk assessment. Since current in vitro and in silico assays are still not able to mimic the in vivo situation accurately we set out to develop an alternative short-term in vivo assay. Five genotoxic, seven non-genotoxic and five non-carcinogen exposure studies were used to investigate if murine hepatic microRNA and mNA profiles after 7-day exposure are suitable tools to classify carcinogens. Classification analyses showed that a small transcript set, consisting of both microRNA and mRNA, is able to classify the genotoxic, non-genotoxic and non-carcinogens tested with 100% accuracy. The results indicate that microRNAs have the potential to be used as transcriptional classifiers and that a short-term transcriptional classifier assay in mice can be a powerful tool in carcinogenicity risk assessment. [mRNA profling] 96 hepatic samples in total, 8 control untreated samples, replicates per treated group n=4-6
2014-04-01 | E-GEOD-43977 | biostudies-arrayexpress
Project description:Many innovative techniques and scientific improvements are available to tackle societal concerns, like public health safety and confining the risk of cancerous exposure to chemicals, but have not been thoroughly tested and implicated yet. We investigated if microRNA and mRNA transcription profiles can be implemented in a short-term carcinogen classifier assay. Our study is additionally focusing on the drawbacks of present-day carcinogen screening strategies and also aims to contribute to a more ethical approach towards animal use and welfare within risk assessment. Since current in vitro and in silico assays are still not able to mimic the in vivo situation accurately we set out to develop an alternative short-term in vivo assay. Five genotoxic, seven non-genotoxic and five non-carcinogen exposure studies were used to investigate if murine hepatic microRNA and mRNA profiles after 7-day exposure are suitable tools to classify carcinogens. Classification analyses showed that a small transcript set, consisting of both microRNA and mRNA, is able to classify the genotoxic, non-genotoxic and non-carcinogens tested with 100% accuracy. The results indicate that microRNAs have the potential to be used as transcriptional classifiers and that a short-term transcriptional classifier assay in mice can be a powerful tool in carcinogenicity risk assessment. [microRNA profling] 68 hepatic samples in total, 3 control untreated samples, replicates per treated group n=3-4
2014-04-01 | E-GEOD-43847 | biostudies-arrayexpress
Project description:There is no accurate and well-validated short-term test for non-genotoxic carcinogens, necessitating an expensive two year rodent bioassay before a risk assessment can begin. We have developed a short-term in vivo rat assay that predicts whether non-genotoxic chemicals are likely to induce hepatic tumors based on transcript profiles in the liver. Using a large independent test set, assay accuracy was found to be superior to existing pathological and genomic markers. Comparison of the test chemical's signature profile to reference carcinogens of known mechanism can also identify a potential mode(s) of action, allowing an early assessment of human cancer risk. Guidelines for commercial use: http://www.iconixbiosciences.com/guidelineCommUse.pdf Keywords: dose response, time course, compound treatment Treatment of male Sprague-Dawley rats with 147 non-genotoxic compounds at various doses and durations, in biological triplicate, along with vehicle-matched control animals. Liver samples were assayed for gene expression. Hepatocarcinogenic and non-carcinogenic compounds were included. A classifier for carcinogenicity was built on a training set of 25 carcinogens and 75 noncarcinogens (randomly selected compounds, maximum tolerated dose, 5 day timepoints), and tested on the remaining 47 compounds at various timepoints. A total of 990 samples were hybridized to single-channel CodeLink RU1 arrays. Biological triplicates were combined with matched control samples to calculate log ratios.
2007-06-22 | E-GEOD-8251 | biostudies-arrayexpress
Project description:There is no accurate and well-validated short-term test for non-genotoxic carcinogens, necessitating an expensive two year rodent bioassay before a risk assessment can begin. We have developed a short-term in vivo rat assay that predicts whether non-genotoxic chemicals are likely to induce hepatic tumors based on transcript profiles in the liver. Using a large independent test set, assay accuracy was found to be superior to existing pathological and genomic markers. Comparison of the test chemical's signature profile to reference carcinogens of known mechanism can also identify a potential mode(s) of action, allowing an early assessment of human cancer risk. Guidelines for commercial use: http://www.iconixbiosciences.com/guidelineCommUse.pdf Keywords: dose response, time course, compound treatment
2007-06-23 | GSE8251 | GEO
Project description:The need for an efficient carcinogenicity test prompted this study, in which we used a microarray-based genomics approach, with a short-term in vivo model, in combination with insights from statistical and mechanistic analyses. We performed additional experiments to support the significance of the microarray results. Carcinogens were evaluated based on differences in the mechanisms involved in the response to genotoxic (GTX) carcinogens and non-genotoxic (NGTX) carcinogens. Microarray data were analyzed for 2 time points after treatment with the following 6 carcinogens. The analysis was performed using t-tests to compare the fold changes, and we selected differentially expressed genes (DEGs) and evaluated the reasons for differential expression in terms of cellular pathways and processes. We mapped the DEG-related pathways to analyze cellular processes, and we were able to uncover significant mechanisms that involve critical cellular components, such as CDKN1A (p21) and BAX. In addition, a comparison of the data from two time points showed that the repeated administration model was more effective than a single administration for carcinogen research. The classification analysis of selected DEGs was performed by setting microarray data of 4 carcinogens as test sets; these test sets were evaluated as classifiers. Microarray results were further supported using the Comet and micronucleus assays. It was found that gene expression profiling using microarrays, followed by pathway analysis, was effective in increasing the understanding of the characteristics of different carcinogens, and the efficiency of these methods was exemplified by the short-term (3 day) nature of the animal experiments.
2011-08-11 | GSE31307 | GEO
Project description:The human body is continuously exposed to various compounds that could initiate or accelerate cancer development. Such carcinogenic compounds can be classified into a genotoxic and non-genotoxic group. Especially carcinogenicity of non-genotoxic compounds is difficult to determine with current in vitro assessments and therefore has to be improved urgently. Here, we used a toxicogenomics-based approach by genome-wide microRNA expression profiling of mouse embryonic stem (mES) cells to identify microRNA classifiers for genotoxic carcinogens (GTXC), non-genotoxic carcinogens (NGTXC) and oxidative (Ox) compounds. We exposed mES cells to four different NGTXC, four GTXC and four Ox compounds. Differential microRNA expression was determined 4, 8 and 12 hours after exposure and was used to assess its discriminative power for NGTXC and GTXC. We generated an accurate classifier set, which was discriminative for NGTXC using a tiered approach. In conclusion, our study indicates that microRNA expression profiles can discriminate between NGTXC, GTXC and Ox compounds with high accuracy.
2017-06-01 | GSE57839 | GEO
Project description:The need for an efficient carcinogenicity test prompted this study, in which we used a microarray-based genomics approach, with a short-term in vivo model, in combination with insights from statistical and mechanistic analyses. We performed additional experiments to support the significance of the microarray results. Carcinogens were evaluated based on differences in the mechanisms involved in the response to genotoxic (GTX) carcinogens and non-genotoxic (NGTX) carcinogens. Microarray data were analyzed for 2 time points after treatment with the following 6 carcinogens. The analysis was performed using t-tests to compare the fold changes, and we selected differentially expressed genes (DEGs) and evaluated the reasons for differential expression in terms of cellular pathways and processes. We mapped the DEG-related pathways to analyze cellular processes, and we were able to uncover significant mechanisms that involve critical cellular components, such as CDKN1A (p21) and BAX. In addition, a comparison of the data from two time points showed that the repeated administration model was more effective than a single administration for carcinogen research. The classification analysis of selected DEGs was performed by setting microarray data of 4 carcinogens as test sets; these test sets were evaluated as classifiers. Microarray results were further supported using the Comet and micronucleus assays. It was found that gene expression profiling using microarrays, followed by pathway analysis, was effective in increasing the understanding of the characteristics of different carcinogens, and the efficiency of these methods was exemplified by the short-term (3 day) nature of the animal experiments. The following 10 hepatocarcinogens were used: 2-acetylaminofluorene (53-96-3), diethylnitrosamine (55-18-5), 4-dimethylamino-3'-methyl azobenzene (55-80-1), clofibrate (637-07-0), 1,4-dioxane (123-91-1), DL-ethionine (67-21-0), 1,3-dichloro-2'-propanol (96-23-1), urethane (51-79-6), sodium nitrite (7632-00-0), and methyleugenol (93-15-2). Forty-one data were obtained for the training compounds in this study. We treated rats with one of three compounds or a control for each GTX and NGTX experimental group and measured 2 time points for each group. All experimental procedures were repeated three times. We excluded 1 file that was found to be a failure. Each ‘.CEL’ file obtained as a raw data file was standardized using the RMA (Robust Multi-array Average) algorithm.
2011-08-10 | E-GEOD-31307 | biostudies-arrayexpress
Project description:For evaluating genotoxic exposure in human populations a number of biomarkers has been successfully applied over the last 30 years to determine early biological effects due to exposure to carcinogens. Despite their success, these early biological effects markers provide limited mechanistic insight, and are unable to detect exposure to non-genotoxic carcinogens. Gene expression profiling forms a promising tool for the development of new biomarkers in blood cells to overcome these limitations. The aim of our research was to identify novel genomics-based candidate markers for genotoxic and non-genotoxic carcinogen exposure. Whole genome gene expression changes were investigated in human blood cells following ex vivo exposure to a range of genotoxic and non-genotoxic carcinogenic compounds using whole genome microarrays. Sets of genes, as well as biological pathways indicative of genotoxic exposure and of non-genotoxic carcinogenic exposure were identified. Furthermore, networks were built using the genotoxic and non-genotoxic genes sets, showing the majority of the genes to be interlinked and revealing distinctive transcription factors for both classes. The identification of these potential candidate marker genes might contribute to the development of genomic based biomakers of genotoxic exposure, and possibly even more importantly biomarkers of exposure to non-genotoxic carcinogens since presently no biomarkers are available. Keywords: Genome wide gene expression analysis, Transcriptomic profile indicative of immunotoxic exposure
2010-10-22 | GSE24891 | GEO
Project description:Under REACH, the European Community Regulation on chemicals, the testing strategy for carcinogenicity is generally based on in vitro and in vivo genotoxicity assays. Given that non-genotoxic carcinogens are negative for genotoxicity, this class of carcinogens will not be detected. Therefore, alternative test are urgently needed. Non-genotoxic carcinogens, however, act through different modes of action, which complicates the development of such an assay. The aim of this study was to investigate whether gene expression profiling in primary mouse hepatocytes can be used to distinguish different modes of action of non-genotoxic carcinogens.
2012-06-26 | GSE35058 | GEO