Gene Expression Profiles in Paraffin-Embedded Core Biopsy Tissue Predict Response to Chemotherapy in Women With Locally Advanced Breast Cancer

Luca Gianni(The University of Texas MD Anderson Cancer Center), Milvia Zambetti(The University of Texas MD Anderson Cancer Center), Kim Clark(The University of Texas MD Anderson Cancer Center), Joffre Baker(The University of Texas MD Anderson Cancer Center), Maureen Cronin(The University of Texas MD Anderson Cancer Center), Jenny Wu(The University of Texas MD Anderson Cancer Center), Gabriella Mariani(The University of Texas MD Anderson Cancer Center), Jaime Rodriguez‐Canales(The University of Texas MD Anderson Cancer Center), M.L. Carcangiu(The University of Texas MD Anderson Cancer Center), Drew Watson(The University of Texas MD Anderson Cancer Center), Pinuccia Valagussa(The University of Texas MD Anderson Cancer Center), Roman Rouzier(The University of Texas MD Anderson Cancer Center), W. Fraser Symmans(The University of Texas MD Anderson Cancer Center), Jeffrey S. Ross(The University of Texas MD Anderson Cancer Center), Gabriel N. Hortobágyi(The University of Texas MD Anderson Cancer Center), Lajos Pusztai(The University of Texas MD Anderson Cancer Center), Steven Shak(The University of Texas MD Anderson Cancer Center)
Journal of Clinical Oncology
September 7, 2005
Cited by 620

Abstract

PURPOSE: We sought to identify gene expression markers that predict the likelihood of chemotherapy response. We also tested whether chemotherapy response is correlated with the 21-gene Recurrence Score assay that quantifies recurrence risk. METHODS: Patients with locally advanced breast cancer received neoadjuvant paclitaxel and doxorubicin. RNA was extracted from the pretreatment formalin-fixed paraffin-embedded core biopsies. The expression of 384 genes was quantified using reverse transcriptase polymerase chain reaction and correlated with pathologic complete response (pCR). The performance of genes predicting for pCR was tested in patients from an independent neoadjuvant study where gene expression was obtained using DNA microarrays. RESULTS: Of 89 assessable patients (mean age, 49.9 years; mean tumor size, 6.4 cm), 11 (12%) had a pCR. Eighty-six genes correlated with pCR (unadjusted P < .05); pCR was more likely with higher expression of proliferation-related genes and immune-related genes, and with lower expression of estrogen receptor (ER) -related genes. In 82 independent patients treated with neoadjuvant paclitaxel and doxorubicin, DNA microarray data were available for 79 of the 86 genes. In univariate analysis, 24 genes correlated with pCR with P < .05 (false discovery, four genes) and 32 genes showed correlation with P < .1 (false discovery, eight genes). The Recurrence Score was positively associated with the likelihood of pCR (P = .005), suggesting that the patients who are at greatest recurrence risk are more likely to have chemotherapy benefit. CONCLUSION: Quantitative expression of ER-related genes, proliferation genes, and immune-related genes are strong predictors of pCR in women with locally advanced breast cancer receiving neoadjuvant anthracyclines and paclitaxel.


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