Ki67 Index, HER2 Status, and Prognosis of Patients With Luminal B Breast Cancer

Background Gene expression profiling of breast cancer has identified two biologically distinct estrogen receptor (ER)-positive subtypes of breast cancer: luminal A and luminal B. Luminal B tumors have higher proliferation and poorer prognosis than luminal A tumors. In this study, we developed a clinically practical immunohistochemistry assay to distinguish luminal B from luminal A tumors and investigated its ability to separate tumors according to breast cancer recurrence-free and disease-specific survival. Methods Tumors from a cohort of 357 patients with invasive breast carcinomas were subtyped by gene expression profile. Hormone receptor status, HER2 status, and the Ki67 index (percentage of Ki67-positive cancer nuclei) were determined immunohistochemically. Receiver operating characteristic curves were used to determine the Ki67 cut point to distinguish luminal B from luminal A tumors. The prognostic value of the immunohistochemical assignment for breast cancer recurrence-free and disease-specific survival was investigated with an independent tissue microarray series of 4046 breast cancers by use of Kaplan–Meier curves and multivariable Cox regression. Results Gene expression profiling classified 101 (28%) of the 357 tumors as luminal A and 69 (19%) as luminal B. The best Ki67 index cut point to distinguish luminal B from luminal A tumors was 13.25%. In an independent cohort of 4046 patients with breast cancer, 2847 had hormone receptor–positive tumors. When HER2 immunohistochemistry and the Ki67 index were used to subtype these 2847 tumors, we classified 1530 (59%, 95% confidence interval [CI] = 57% to 61%) as luminal A, 846 (33%, 95% CI = 31% to 34%) as luminal B, and 222 (9%, 95% CI = 7% to 10%) as luminal–HER2 positive. Luminal B and luminal–HER2-positive breast cancers were statistically significantly associated with poor breast cancer recurrence-free and disease-specific survival in all adjuvant systemic treatment categories. Of particular relevance are women who received tamoxifen as their sole adjuvant systemic therapy, among whom the 10-year breast cancer–specific survival was 79% (95% CI = 76% to 83%) for luminal A, 64% (95% CI = 59% to 70%) for luminal B, and 57% (95% CI = 47% to 69%) for luminal–HER2 subtypes. Conclusion Expression of ER, progesterone receptor, and HER2 proteins and the Ki67 index appear to distinguish luminal A from luminal B breast cancer subtypes.

[1]  C. Sotiriou,et al.  Ki-67 as prognostic marker in early breast cancer: a meta-analysis of published studies involving 12 155 patients , 2007, British Journal of Cancer.

[2]  Matt van de Rijn,et al.  Gene expression profiling of breast cancer. , 2008, Annual review of pathology.

[3]  E. Berthelet,et al.  The prognostic significance of the percentage of positive/dissected axillary lymph nodes in breast cancer recurrence and survival in patients with one to three positive axillary lymph nodes , 2005, Cancer.

[4]  Donald A. Berry,et al.  Estrogen-receptor status and outcomes of modern chemotherapy for patients with node-positive breast cancer , 2006 .

[5]  D. Rimm,et al.  Validation of Tissue Microarray Technology in Breast Carcinoma , 2000, Laboratory Investigation.

[6]  T. Fleming,et al.  Use of chemotherapy plus a monoclonal antibody against HER2 for metastatic breast cancer that overexpresses HER2. , 2001, The New England journal of medicine.

[7]  R. Tibshirani,et al.  Repeated observation of breast tumor subtypes in independent gene expression data sets , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[8]  M. J. van de Vijver,et al.  The utility of mitotic index, oestrogen receptor and Ki-67 measurements in the creation of novel prognostic indices for node-negative breast cancer. , 1999, European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology.

[9]  Prognostic Significance of Tumor Cell Proliferation Rate as Determined by the MIB-1 Antibody in Breast Carcinoma : Its Relationship with Vimentin and p 53 Protein , 2008 .

[10]  J. Ioannidis,et al.  Survival with aromatase inhibitors and inactivators versus standard hormonal therapy in advanced breast cancer: meta-analysis. , 2006, Journal of the National Cancer Institute.

[11]  Samuel Leung,et al.  Basal-Like Breast Cancer Defined by Five Biomarkers Has Superior Prognostic Value than Triple-Negative Phenotype , 2008, Clinical Cancer Research.

[12]  R. Tibshirani,et al.  Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[13]  D. Berry,et al.  Estrogen-receptor status and outcomes of modern chemotherapy for patients with node-positive breast cancer. , 2006, JAMA.

[14]  P. Grambsch,et al.  Proportional hazards tests and diagnostics based on weighted residuals , 1994 .

[15]  I. Ellis,et al.  Pathological prognostic factors in breast cancer. I. The value of histological grade in breast cancer: experience from a large study with long-term follow-up. , 2002, Histopathology.

[16]  M. Kenward,et al.  An Introduction to the Bootstrap , 2007 .

[17]  T. Nielsen,et al.  GATA-3 Expression in Breast Cancer Has a Strong Association with Estrogen Receptor but Lacks Independent Prognostic Value , 2008, Cancer Epidemiology Biomarkers & Prevention.

[18]  J. Giltnane,et al.  Technology Insight: identification of biomarkers with tissue microarray technology , 2004, Nature Clinical Practice Oncology.

[19]  C. Perou,et al.  Race, breast cancer subtypes, and survival in the Carolina Breast Cancer Study. , 2006, JAMA.

[20]  Anthony S-Y Leong,et al.  Controversies in the Assessment of HER-2: More Questions Than Answers , 2006, Advances in anatomic pathology.

[21]  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.

[22]  S. Leung,et al.  Progesterone receptor is a significant factor associated with clinical outcomes and effect of adjuvant tamoxifen therapy in breast cancer patients , 2009, Breast Cancer Research and Treatment.

[23]  Charles M Perou,et al.  Agreement in breast cancer classification between microarray and quantitative reverse transcription PCR from fresh-frozen and formalin-fixed, paraffin-embedded tissues. , 2007, Clinical chemistry.

[24]  M. Cronin,et al.  A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer. , 2004, The New England journal of medicine.

[25]  A. Thor,et al.  Measures of cell turnover (proliferation and apoptosis) and their association with survival in breast cancer. , 2001, Clinical cancer research : an official journal of the American Association for Cancer Research.

[26]  I. Ellis,et al.  The Nottingham prognostic index in primary breast cancer , 2005, Breast Cancer Research and Treatment.

[27]  Mikael Lundin,et al.  Amplification of erbB2 and erbB2 expression are superior to estrogen receptor status as risk factors for distant recurrence in pT1N0M0 breast cancer: a nationwide population-based study. , 2003, Clinical cancer research : an official journal of the American Association for Cancer Research.

[28]  L. Goldstein,et al.  HER-2 testing in breast cancer using parallel tissue-based methods. , 2004, JAMA.

[29]  R. Gelber,et al.  Predictive value of tumor Ki-67 expression in two randomized trials of adjuvant chemoendocrine therapy for node-negative breast cancer. , 2008, Journal of the National Cancer Institute.

[30]  M. Ellis,et al.  Letrozole inhibits tumor proliferation more effectively than tamoxifen independent of HER1/2 expression status. , 2003, Cancer research.

[31]  A. Nobel,et al.  The molecular portraits of breast tumors are conserved across microarray platforms , 2006, BMC Genomics.

[32]  K. Chew,et al.  The prognostic value of proliferation indices: a study with in vivo bromodeoxyuridine and Ki-67 , 2004, Breast Cancer Research and Treatment.

[33]  V. Goel,et al.  Compliance with practice guidelines for node-negative breast cancer. , 1997, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[34]  Zhiyuan Hu,et al.  Estrogen-regulated genes predict survival in hormone receptor-positive breast cancers. , 2006, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[35]  R. Gelber,et al.  Ki‐67 expression in breast carcinoma , 2003, Cancer.

[36]  M. Barbareschi,et al.  Lack of prognostic significance of the monoclonal antibody Ki-S1, a novel marker of proliferative activity, in node-negative breast carcinoma , 2005, Breast Cancer Research and Treatment.

[37]  D. Berry,et al.  Effect of screening and adjuvant therapy on mortality from breast cancer. , 2006, The New England journal of medicine.

[38]  M. Ellis,et al.  The combination of letrozole and trastuzumab as first or second-line biological therapy produces durable responses in a subset of HER2 positive and ER positive advanced breast cancers , 2007, Breast Cancer Research and Treatment.

[39]  A. Nobel,et al.  Supervised risk predictor of breast cancer based on intrinsic subtypes. , 2009, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[40]  Christian A. Rees,et al.  Distinctive gene expression patterns in human mammary epithelial cells and breast cancers. , 1999, Proceedings of the National Academy of Sciences of the United States of America.

[41]  A. Cnaan,et al.  Proliferation markers in breast carcinoma. , 1996, American journal of clinical pathology.

[42]  Holger Moch,et al.  Microarrays of bladder cancer tissue are highly representative of proliferation index and histological grade , 2001, The Journal of pathology.

[43]  P. Neven,et al.  Prognostic and predictive value of centrally reviewed expression of estrogen and progesterone receptors in a randomized trial comparing letrozole and tamoxifen adjuvant therapy for postmenopausal early breast cancer: BIG 1-98. , 2007, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

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

[45]  Roman Rouzier,et al.  Breast Cancer Molecular Subtypes Respond Differently to Preoperative Chemotherapy , 2005, Clinical Cancer Research.

[46]  C Caldas,et al.  Proliferation markers and survival in early breast cancer: a systematic review and meta-analysis of 85 studies in 32,825 patients. , 2008, Breast.

[47]  A. Nobel,et al.  Concordance among Gene-Expression – Based Predictors for Breast Cancer , 2011 .

[48]  J. Horiguchi,et al.  The effects of fixation, processing and evaluation criteria on immunohistochemical detection of hormone receptors in breast cancer , 2007, Breast cancer.

[49]  I. Ellis,et al.  Pathological prognostic factors in breast cancer. , 1999, Critical reviews in oncology/hematology.

[50]  M. Osborn,et al.  Prognostic significance of tumor cell proliferation rate as determined by the MIB-1 antibody in breast carcinoma: its relationship with vimentin and p53 protein. , 1996, Clinical cancer research : an official journal of the American Association for Cancer Research.

[51]  Jack Cuzick,et al.  Relationship between quantitative estrogen and progesterone receptor expression and human epidermal growth factor receptor 2 (HER-2) status with recurrence in the Arimidex, Tamoxifen, Alone or in Combination trial. , 2008, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[52]  A. Chan,et al.  The contribution of bifunctional SkipDewax pretreatment solution, rabbit monoclonal antibodies, and polymer detection systems in immunohistochemistry. , 2007, Archives of pathology & laboratory medicine.

[53]  Mike Clarke,et al.  Tamoxifen for early breast cancer: an overview of the randomised trials , 1998, The Lancet.

[54]  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.

[55]  A. Cnaan,et al.  Proliferation markers in breast carcinoma. Mitotic figure count, S-phase fraction, proliferating cell nuclear antigen, Ki-67 and MIB-1. , 1995, American journal of clinical pathology.

[56]  Karen A Gelmon,et al.  Immunohistochemical detection using the new rabbit monoclonal antibody SP1 of estrogen receptor in breast cancer is superior to mouse monoclonal antibody 1D5 in predicting survival. , 2006, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[57]  Douglas G Altman,et al.  The logrank test , 2004, BMJ : British Medical Journal.

[58]  M Baum,et al.  Results of the ATAC (Arimidex, Tamoxifen, Alone or in Combination) trial after completion of 5 years' adjuvant treatment for breast cancer , 2005, The Lancet.

[59]  D G Altman,et al.  Survival probabilities (the Kaplan-Meier method) , 1998, BMJ.

[60]  Stephen Chia,et al.  Amplification of EMSY, a novel oncogene on 11q13, in high grade ovarian surface epithelial carcinomas. , 2006, Gynecologic oncology.

[61]  Mitch Dowsett,et al.  Prognostic value of Ki67 expression after short-term presurgical endocrine therapy for primary breast cancer. , 2007, Journal of the National Cancer Institute.