Strong Time Dependence of the 76-Gene Prognostic Signature for Node-Negative Breast Cancer Patients in the TRANSBIG Multicenter Independent Validation Series

Purpose: Recently, a 76-gene prognostic signature able to predict distant metastases in lymph node–negative (N−) breast cancer patients was reported. The aims of this study conducted by TRANSBIG were to independently validate these results and to compare the outcome with clinical risk assessment. Experimental Design: Gene expression profiling of frozen samples from 198 N− systemically untreated patients was done at the Bordet Institute, blinded to clinical data and independent of Veridex. Genomic risk was defined by Veridex, blinded to clinical data. Survival analyses, done by an independent statistician, were done with the genomic risk and adjusted for the clinical risk, defined by Adjuvant! Online. Results: The actual 5- and 10-year time to distant metastasis were 98% (88-100%) and 94% (83-98%), respectively, for the good profile group and 76% (68-82%) and 73% (65-79%), respectively, for the poor profile group. The actual 5- and 10-year overall survival were 98% (88-100%) and 87% (73-94%), respectively, for the good profile group and 84% (77-89%) and 72% (63-78%), respectively, for the poor profile group. We observed a strong time dependence of this signature, leading to an adjusted hazard ratio of 13.58 (1.85-99.63) and 8.20 (1.10-60.90) at 5 years and 5.11 (1.57-16.67) and 2.55 (1.07-6.10) at 10 years for time to distant metastasis and overall survival, respectively. Conclusion: This independent validation confirmed the performance of the 76-gene signature and adds to the growing evidence that gene expression signatures are of clinical relevance, especially for identifying patients at high risk of early distant metastases.

[1]  P. Ravdin,et al.  Computer program to assist in making decisions about adjuvant therapy for women with early breast cancer. , 2001, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[2]  Robert J. Mayer,et al.  National Institutes of Health Consensus Development Conference Statement: adjuvant therapy for breast cancer, November 1-3, 2000. , 2001, Journal of the National Cancer Institute.

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

[4]  N. Stoecklein,et al.  Genetic heterogeneity of single disseminated tumour cells in minimal residual cancer , 2002, The Lancet.

[5]  D. Larsimont,et al.  Comparison of HER-2 status between primary breast cancer and corresponding distant metastatic sites. , 2002, Annals of oncology : official journal of the European Society for Medical Oncology.

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

[7]  Van,et al.  A gene-expression signature as a predictor of survival in breast cancer. , 2002, The New England journal of medicine.

[8]  R. Eils,et al.  From latent disseminated cells to overt metastasis: Genetic analysis of systemic breast cancer progression , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[9]  R. Gelber,et al.  Meeting highlights: updated international expert consensus on the primary therapy of early breast cancer. , 2003, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[10]  D. Larsimont,et al.  Comparison of Topoisomerase-IIα Gene Status between Primary Breast Cancer and Corresponding Distant Metastatic Sites , 2003, Breast Cancer Research and Treatment.

[11]  S. Conzen,et al.  Invariant p53 immunostaining in primary and recurrent breast cancer. , 2004, European journal of cancer.

[12]  Karen A Gelmon,et al.  Population-based validation of the prognostic model ADJUVANT! for early breast cancer. , 2005, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[13]  Yoshihiko Hamamoto,et al.  Prediction of cancer outcome with microarrays , 2005, The Lancet.

[14]  J. Foekens,et al.  Gene-expression profiles to predict distant metastasis of lymph-node-negative primary breast cancer , 2005, The Lancet.

[15]  C. Perou,et al.  Molecular portraits and 70-gene prognosis signature are preserved throughout the metastatic process of breast cancer. , 2005, Cancer research.

[16]  N. Sneige,et al.  Comparison of HER‐2 status determined by fluorescence in situ hybridization in primary and metastatic breast carcinoma , 2005, Cancer.

[17]  TRANSBIG multi-centre independent validation of the Rotterdam 76-gene prognostic signature for patients with node-negative breast cancer , 2006 .

[18]  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.

[19]  J. Foekens,et al.  Multicenter validation of a gene expression-based prognostic signature in lymph node-negative primary breast cancer. , 2006, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.