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Prediction of Toxicant-Specific Gene Expression Signatures after Chemotherapeutic Treatment of Breast Cell Lines
Global gene expression profiling has demonstrated that the predominant cellular response to a range of toxicants is a general stress response. This stereotyped environmental stress response commonly includes repression of protein synthesis and cell-cycle–regulated genes and induction of DNA damage a...
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Formato: | Texto |
Lenguaje: | English |
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National Institue of Environmental Health Sciences
2004
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1247657/ https://www.ncbi.nlm.nih.gov/pubmed/15598611 http://dx.doi.org/10.1289/txg.7204 |
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author | Troester, Melissa A. Hoadley, Katherine A. Parker, Joel S. Perou, Charles M. |
author_facet | Troester, Melissa A. Hoadley, Katherine A. Parker, Joel S. Perou, Charles M. |
author_sort | Troester, Melissa A. |
collection | PubMed |
description | Global gene expression profiling has demonstrated that the predominant cellular response to a range of toxicants is a general stress response. This stereotyped environmental stress response commonly includes repression of protein synthesis and cell-cycle–regulated genes and induction of DNA damage and oxidative stress–responsive genes. Our laboratory recently characterized the general stress response of breast cell lines derived from basal-like and luminal epithelium after treatment with doxorubicin (DOX) or 5-fluorouracil (5FU) and showed that each cell type has a distinct response. However, we expected that some of the expression changes induced by DOX and 5FU would be unique to each compound and might reflect the underlying mechanisms of action of these agents. Therefore, we employed supervised analyses (significance analysis of microarrays) to identify genes that showed differential expression between DOX-treated and 5FU-treated cell lines. We then used cross-validation analyses and identified genes that afforded high predictive accuracy in classifying samples into the two treatment classes. To test whether these gene lists had good predictive accuracy in an independent data set, we treated our panel of cell lines with etoposide, a compound mechanistically similar to DOX. We demonstrated that using expression patterns of 100 genes we were able to obtain 100% predictive accuracy in classifying the etoposide samples as being more similar in expression to DOX-treated than to 5FU-treated samples. These analyses also showed that toxicant-specific gene expression patterns, similar to general stress responses, vary according to cell type. |
format | Text |
id | pubmed-1247657 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2004 |
publisher | National Institue of Environmental Health Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-12476572005-11-08 Prediction of Toxicant-Specific Gene Expression Signatures after Chemotherapeutic Treatment of Breast Cell Lines Troester, Melissa A. Hoadley, Katherine A. Parker, Joel S. Perou, Charles M. Environ Health Perspect Toxicogenomics Global gene expression profiling has demonstrated that the predominant cellular response to a range of toxicants is a general stress response. This stereotyped environmental stress response commonly includes repression of protein synthesis and cell-cycle–regulated genes and induction of DNA damage and oxidative stress–responsive genes. Our laboratory recently characterized the general stress response of breast cell lines derived from basal-like and luminal epithelium after treatment with doxorubicin (DOX) or 5-fluorouracil (5FU) and showed that each cell type has a distinct response. However, we expected that some of the expression changes induced by DOX and 5FU would be unique to each compound and might reflect the underlying mechanisms of action of these agents. Therefore, we employed supervised analyses (significance analysis of microarrays) to identify genes that showed differential expression between DOX-treated and 5FU-treated cell lines. We then used cross-validation analyses and identified genes that afforded high predictive accuracy in classifying samples into the two treatment classes. To test whether these gene lists had good predictive accuracy in an independent data set, we treated our panel of cell lines with etoposide, a compound mechanistically similar to DOX. We demonstrated that using expression patterns of 100 genes we were able to obtain 100% predictive accuracy in classifying the etoposide samples as being more similar in expression to DOX-treated than to 5FU-treated samples. These analyses also showed that toxicant-specific gene expression patterns, similar to general stress responses, vary according to cell type. National Institue of Environmental Health Sciences 2004-11 2004-09-14 /pmc/articles/PMC1247657/ /pubmed/15598611 http://dx.doi.org/10.1289/txg.7204 Text en http://creativecommons.org/publicdomain/mark/1.0/ Publication of EHP lies in the public domain and is therefore without copyright. All text from EHP may be reprinted freely. Use of materials published in EHP should be acknowledged (for example, ?Reproduced with permission from Environmental Health Perspectives?); pertinent reference information should be provided for the article from which the material was reproduced. Articles from EHP, especially the News section, may contain photographs or illustrations copyrighted by other commercial organizations or individuals that may not be used without obtaining prior approval from the holder of the copyright. |
spellingShingle | Toxicogenomics Troester, Melissa A. Hoadley, Katherine A. Parker, Joel S. Perou, Charles M. Prediction of Toxicant-Specific Gene Expression Signatures after Chemotherapeutic Treatment of Breast Cell Lines |
title | Prediction of Toxicant-Specific Gene Expression Signatures after Chemotherapeutic Treatment of Breast Cell Lines |
title_full | Prediction of Toxicant-Specific Gene Expression Signatures after Chemotherapeutic Treatment of Breast Cell Lines |
title_fullStr | Prediction of Toxicant-Specific Gene Expression Signatures after Chemotherapeutic Treatment of Breast Cell Lines |
title_full_unstemmed | Prediction of Toxicant-Specific Gene Expression Signatures after Chemotherapeutic Treatment of Breast Cell Lines |
title_short | Prediction of Toxicant-Specific Gene Expression Signatures after Chemotherapeutic Treatment of Breast Cell Lines |
title_sort | prediction of toxicant-specific gene expression signatures after chemotherapeutic treatment of breast cell lines |
topic | Toxicogenomics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1247657/ https://www.ncbi.nlm.nih.gov/pubmed/15598611 http://dx.doi.org/10.1289/txg.7204 |
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