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- W4361953931 abstract "<div>Abstract<p>Neoadjuvant treatment offers an opportunity to correlate molecular variables to treatment response and to explore mechanisms of drug resistance <i>in vivo</i>. Here, we present a statistical analysis of large-scale gene expression patterns and their relationship to response following neoadjuvant chemotherapy in locally advanced breast cancers. We analyzed cDNA expression data from 81 tumors from two patient series, one treated with doxorubicin alone (51) and the other treated with 5-fluorouracil and mitomycin (30), and both were previously studied for correlations between <i>TP53</i> status and response to therapy. We observed a low frequency of progressive disease within the luminal A subtype from both series (2 of 36 versus 13 of 45 patients; <i>P</i> = 0.0089) and a high frequency of progressive disease among patients with luminal B type tumors treated with doxorubicin (5 of 8 patients; <i>P</i> = 0.0078); however, aside from these two observations, no other consistent associations between response to chemotherapy and tumor subtype were observed. These specific associations could possibly be explained by covariance with <i>TP53</i> mutation status, which also correlated with tumor subtype. Using supervised analysis, we could not uncover a gene profile that could reliably (>70% accuracy and specificity) predict response to either treatment regimen. [Mol Cancer Ther 2006;5(11):2914–8]</p></div>" @default.
- W4361953931 created "2023-04-05" @default.
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- W4361953931 date "2023-03-31" @default.
- W4361953931 modified "2023-09-25" @default.
- W4361953931 title "Data from Gene expression profiles do not consistently predict the clinical treatment response in locally advanced breast cancer" @default.
- W4361953931 doi "https://doi.org/10.1158/1535-7163.c.6531521.v1" @default.
- W4361953931 hasPublicationYear "2023" @default.
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