Pharmacogenomic Predictor of Sensitivity to Preoperative Chemotherapy With Paclitaxel and Fluorouracil, Doxorubicin, and Cyclophosphamide in Breast Cancer

Author:

Hess Kenneth R.1,Anderson Keith1,Symmans W. Fraser1,Valero Vicente1,Ibrahim Nuhad1,Mejia Jaime A.1,Booser Daniel1,Theriault Richard L.1,Buzdar Aman U.1,Dempsey Peter J.1,Rouzier Roman1,Sneige Nour1,Ross Jeffrey S.1,Vidaurre Tatiana1,Gómez Henry L.1,Hortobagyi Gabriel N.1,Pusztai Lajos1

Affiliation:

1. From the Departments of Biostatistics and Applied Mathematics, Pathology, Breast Medical Oncology and Radiology, The University of Texas M.D. Anderson Cancer Center, Houston, TX; Breast Cancer Unit and Unité Propre de l'Enseignement Supérieur; Equipe d'Accueil 3535 of the Institut Gustave Roussy, Villejuif, France; Albany Medical College, Albany NY; Departamento de Medicina Instituto Nacional de Enfermedades Neoplásicas, Lima, Perú

Abstract

Purpose We developed a multigene predictor of pathologic complete response (pCR) to preoperative weekly paclitaxel and fluorouracil-doxorubicin-cyclophosphamide (T/FAC) chemotherapy and assessed its predictive accuracy on independent cases. Patients and Methods One hundred thirty-three patients with stage I-III breast cancer were included. Pretreatment gene expression profiling was performed with oligonecleotide microarrays on fine-needle aspiration specimens. We developed predictors of pCR from 82 cases and assessed accuracy on 51 independent cases. Results Overall pCR rate was 26% in both cohorts. In the training set, 56 probes were identified as differentially expressed between pCR versus residual disease, at a false discovery rate of 1%. We examined the performance of 780 distinct classifiers (set of genes + prediction algorithm) in full cross-validation. Many predictors performed equally well. A nominally best 30-probe set Diagonal Linear Discriminant Analysis classifier was selected for independent validation. It showed significantly higher sensitivity (92% v 61%) than a clinical predictor including age, grade, and estrogen receptor status. The negative predictive value (96% v 86%) and area under the curve (0.877 v 0.811) were nominally better but not statistically significant. The combination of genomic and clinical information yielded a predictor not significantly different from the genomic predictor alone. In 31 samples, RNA was hybridized in replicate with resulting predictions that were 97% concordant. Conclusion A 30-probe set pharmacogenomic predictor predicted pCR to T/FAC chemotherapy with high sensitivity and negative predictive value. This test correctly identified all but one of the patients who achieved pCR (12 of 13 patients) and all but one of those who were predicted to have residual disease had residual cancer (27 of 28 patients).

Publisher

American Society of Clinical Oncology (ASCO)

Subject

Cancer Research,Oncology

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