Determination of oestrogen-receptor status and ERBB2 status of breast carcinoma: a gene-expression profiling study.

BACKGROUND Gene expression microarrays are being used to develop new prognostic and predictive tests for breast cancer, and might be used at the same time to confirm oestrogen-receptor status and ERBB2 status. Our goal was to establish a new method to assign oestrogen receptor and ERBB2-receptor status to breast carcinoma based on mRNA expression measured using Affymetrix U133A gene-expression profiling. METHODS We used gene expression data of 495 breast cancer samples to assess the correlation between oestrogen receptor (ESR1) and ERBB2 mRNA and clinical status of these genes (as established by immunohistochemical [IHC] or fluorescence in-situ hybridisation [FISH], or both). Data from 195 fine-needle aspiration (FNA) samples were used to define mRNA cutoff values that assign receptor status. We assessed the accuracy of these cutoffs in two independent datasets: 123 FNA samples and 177 tissue samples (ie, resected or core-needle biopsied tissues). Profiling was done at two institutions by use of the same platform (Affymetrix U133A GeneChip). All data were uniformly normalised with dCHIP software. FINDINGS ESR1 and ERBB2 mRNA levels correlated closely with routine measurements for receptor status in all three datasets. Spearman's correlation coefficients ranged from 0.62 to 0.77. An ESR1 mRNA cutoff value of 500 identified oestrogen-receptor-positive status with an overall accuracy of 90% (training set), 88% (first validation set), and 96% (second validation set). An ERBB2 mRNA threshold of 1150 identified ERBB2-positive status with the overall accuracy of 93% (training set), 89% (first validation set), and 90% (second validation set). Reproducibility of mRNA measurements in 34 replicate experiments was high (correlation coefficient 0.975 for ESR1, 0.984 for ERBB2). INTERPRETATION Amounts of ESR1 and ERBB2 mRNA as measured by the Affymetrix GeneChip reliably and reproducibly establish oestrogen-receptor status and ERBB2 status, respectively.

[1]  M. Cronin,et al.  Gene expression and benefit of chemotherapy in women with node-negative, estrogen receptor-positive breast cancer. , 2006, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[2]  C. Sotiriou,et al.  Measurements of estrogen receptor and reporter genes from microarrays determine receptor status and time to recurrence following adjuvant tamoxifen therapy. , 2005 .

[3]  R. Lempicki,et al.  Evaluation of gene expression measurements from commercial microarray platforms. , 2003, Nucleic acids research.

[4]  Cheng Li,et al.  Model-based analysis of oligonucleotide arrays: model validation, design issues and standard error application , 2001, Genome Biology.

[5]  L. Layfield,et al.  Interlaboratory Variation in Results from Immunohistochemical Assessment of Estrogen Receptor Status , 2003, The breast journal.

[6]  C. Boni,et al.  Superior efficacy of letrozole versus tamoxifen as first-line therapy for postmenopausal women with advanced breast cancer: results of a phase III study of the International Letrozole Breast Cancer Group. , 2001, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[7]  M. J. van de Vijver,et al.  Gene expression profiling in breast cancer: understanding the molecular basis of histologic grade to improve prognosis. , 2006, Journal of the National Cancer Institute.

[8]  Catalin C. Barbacioru,et al.  Evaluation of DNA microarray results with quantitative gene expression platforms , 2006, Nature Biotechnology.

[9]  A. Rhodes Quality assurance in immunohistochemistry. , 2003, The American journal of surgical pathology.

[10]  J. Robertson,et al.  Anastrozole versus tamoxifen as first-line therapy for advanced breast cancer in 668 postmenopausal women: results of the Tamoxifen or Arimidex Randomized Group Efficacy and Tolerability study. , 2000, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[11]  R. Gelber,et al.  Re-evaluating adjuvant breast cancer trials: assessing hormone receptor status by immunohistochemical versus extraction assays. , 2006, Journal of the National Cancer Institute.

[12]  L. V. van't Veer,et al.  Validation and clinical utility of a 70-gene prognostic signature for women with node-negative breast cancer. , 2006, Journal of the National Cancer Institute.

[13]  L. Lin,et al.  A concordance correlation coefficient to evaluate reproducibility. , 1989, Biometrics.

[14]  J. Stec,et al.  Total RNA yield and microarray gene expression profiles from fine‐needle aspiration biopsy and core‐needle biopsy samples of breast carcinoma , 2003, Cancer.

[15]  Peter A Kaufman,et al.  Concordance between local and central laboratory HER2 testing in the breast intergroup trial N9831. , 2002, Journal of the National Cancer Institute.

[16]  C. Nickerson A note on a concordance correlation coefficient to evaluate reproducibility , 1997 .

[17]  J. Ross,et al.  Pharmacogenomic predictor of sensitivity to preoperative chemotherapy with paclitaxel and fluorouracil, doxorubicin, and cyclophosphamide in breast cancer. , 2006, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[18]  C K Osborne,et al.  Estrogen receptor status by immunohistochemistry is superior to the ligand-binding assay for predicting response to adjuvant endocrine therapy in breast cancer. , 1999, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[19]  K S Panageas,et al.  Weekly trastuzumab and paclitaxel therapy for metastatic breast cancer with analysis of efficacy by HER2 immunophenotype and gene amplification. , 2001, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[20]  Felix W Frueh,et al.  Impact of microarray data quality on genomic data submissions to the FDA , 2006, Nature Biotechnology.

[21]  Lyndsay N Harris,et al.  Efficacy and safety of trastuzumab as a single agent in first-line treatment of HER2-overexpressing metastatic breast cancer. , 2002, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[22]  D. Larsimont,et al.  Estrogen receptor analysis in primary breast tumors by ligand-binding assay, immunocytochemical assay, and northern blot: a comparison , 2001, Breast Cancer Research and Treatment.

[23]  D. Barnes,et al.  Reliability of immunohistochemical demonstration of oestrogen receptors in routine practice: interlaboratory variance in the sensitivity of detection and evaluation of scoring systems , 2000, Journal of clinical pathology.

[24]  N. Sneige,et al.  Optimal fixation conditions for immunocytochemical analysis of estrogen receptor in cytologic specimens of breast carcinoma , 2003, Cancer.

[25]  Hanlee P. Ji,et al.  The MicroArray Quality Control (MAQC) project shows inter- and intraplatform reproducibility of gene expression measurements. , 2006, Nature biotechnology.

[26]  Thomas Rüdiger,et al.  Quality Assurance in Immunohistochemistry: Results of an Interlaboratory Trial Involving 172 Pathologists , 2002, The American journal of surgical pathology.

[27]  Christian A. Rees,et al.  Molecular portraits of human breast tumours , 2000, Nature.

[28]  T. Grogan,et al.  Discrepancies in clinical laboratory testing of eligibility for trastuzumab therapy: apparent immunohistochemical false-positives do not get the message. , 2001, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[29]  Yudong D. He,et al.  Gene expression profiling predicts clinical outcome of breast cancer , 2002, Nature.

[30]  J. Stec,et al.  Gene expression profiles obtained from fine-needle aspirations of breast cancer reliably identify routine prognostic markers and reveal large-scale molecular differences between estrogen-negative and estrogen-positive tumors. , 2003, Clinical cancer research : an official journal of the American Association for Cancer Research.

[31]  Maurice P H M Jansen,et al.  Molecular classification of tamoxifen-resistant breast carcinomas by gene expression profiling. , 2005, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[32]  Yudong D. He,et al.  A Gene-Expression Signature as a Predictor of Survival in Breast Cancer , 2002 .

[33]  E. Dougherty,et al.  Gene-expression profiles in hereditary breast cancer. , 2001, The New England journal of medicine.