ArticleEnvironmental health perspectives2004
Prediction of toxicant-specific gene expression signatures after chemotherapeutic treatment of breast cell lines.
Article in Environmental health perspectives, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Article
- Drivers of topoisomerase II poisoning mimic and complement cytotoxicity in AML cells.Oncotarget · 2019Article
- Doxorubicin induces an extensive transcriptional and metabolic rewiring in yeast cells.Scientific reports · 2018Article
- Article
- Interaction between p53 and estradiol pathways in transcriptional responses to chemotherapeutics.Cell cycle (Georgetown, Tex.) · 2013Article
- A serum protein profile predictive of the resistance to neoadjuvant chemotherapy in advanced breast cancers.Molecular & cellular proteomics : MCP · 2011Article
- Interactions with fibroblasts are distinct in Basal-like and luminal breast cancers.Molecular cancer research : MCR · 2011Article
- Article
- Functional analysis of multiple genomic signatures demonstrates that classification algorithms choose phenotype-related genes.The pharmacogenomics journal · 2010Article
- EGFR associated expression profiles vary with breast tumor subtype.BMC genomics · 2007Article
- Recent applications of DNA microarray technology to toxicology and ecotoxicology.Environmental health perspectives · 2006Review
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Abstract
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.
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