Végran F, Boidot R, Coudert B, Fumoleau P, Arnould L, Garnier J, Causeret S, Fraise J, Dembélé D, Lizard-Nacol S. Gene expression profile and response to trastuzumab-docetaxel-based treatment in breast carcinoma.
Br J Cancer 2009;
101:1357-64. [PMID:
19755993 PMCID:
PMC2768465 DOI:
10.1038/sj.bjc.6605310]
[Citation(s) in RCA: 24] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
Background:
Resistance to trastuzumab is often observed in women with human epidermal growth factor receptor 2 (HER2)-positive breast cancer and has been shown to involve multiple potential mechanisms. We examined the ability of microarray analyses to determine the potential markers of pathological complete response (pCR).
Methods:
We conducted an analysis of tumours from 38 patients with locally advanced HER2-positive breast cancer who had received trastuzumab combined with docetaxel. Quantitative reverse transcriptase (RT)–PCR was used to assess the expression of 30 key genes; microarray analyses were carried out on 25 tumours to identify a prognostic gene expression profile, with 13 blinded samples used to validate the identified profile.
Results:
No gene was found to correlate with response by RT–PCR. The microarray analysis identified a gene expression profile of 28 genes, with 12 upregulated in the pCR group and 16 upregulated in non-pCR. The leave-one-out cross-validation test exhibited 72% accuracy, 86% specificity, and 55% sensitivity. The 28-gene expression profile classified the 13 validation samples with 92% accuracy, 89% specificity, and 100% sensitivity.
Conclusion:
Our results suggest that genes not involved in classical cancer pathways such as apoptosis or DNA repair could be involved in responses to a trastuzumab–docetaxel-based regimen. They also describe for the first time a gene expression signature that predicts trastuzumab response.
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