Breast Cancer Research

official impact factor 5.79

Open Access Highly Access Research article

Prognostic value of proliferation assay in the luminal, HER2-positive, and triple-negative biologic classes of breast cancer

Mohammed A Aleskandarany1,2, Andrew R Green1, Ahmed A Benhasouna1, Fabricio F Barros1, Keith Neal3, Jorge S Reis-Filho4, Ian O Ellis1 and Emad A Rakha1*

Author Affiliations

1 Department of Histopathology, School of Molecular Medical Sciences, Queens Medical Centre, University of Nottingham and Nottingham University Hospitals NHS Trust, Nottingham, NG7 2UH, UK

2 Pathology Department, Faculty of Medicine, Menoufia University, Shebin El-Kom, Menoufia Governorate, Egypt

3 Occupational Health, School of Molecular Medical Sciences, Queens Medical Centre, University of Nottingham and Nottingham University Hospitals NHS Trust, Nottingham, NG7 2UH, UK

4 Breakthrough Breast Cancer Research Centre, Institute of Cancer Research, 237 Fulham Road, London, SW3 6JB, UK

For all author emails, please log on.

Breast Cancer Research 2012, 14:R3 doi:10.1186/bcr3084

Published: 6 January 2012

Abstract

Introduction

Although the prognostic significance of proliferation in early invasive breast cancer has been recognized for a long time, recent gene-expression profiling studies have reemphasized its biologic and prognostic value and the potential application of its assessment in routine practice, particularly to define prognostic subgroups of luminal/hormone receptor-positive (HR+) tumors. This study aimed to assess the prognostic value of a proliferation assay by using Ki-67 immunohistochemistry as compared with mitotic count scores.

Method

Proliferation was assessed by using Ki-67 labeling index (Ki-67LI) and mitotic scores in a large (n = 1,550) and well-characterized series of clinically annotated primary operable invasive breast cancer with long-term follow-up. Tumors were phenotyped based on their IHC profiles into luminal/HR+, HER2+, and triple-negative (TN) classes. We used a split-sample development and validation approach to determine the optimal Ki-67LI cut-offs.

Results

The optimal cut-points of Ki-67LI were 10% and 50% for the luminal class. Both Ki7LI and MS were able to split luminal tumors into subgroups with significantly variable outcomes, independent of other variables. Neither mitotic count scores nor Ki-67LI was associated with outcome in the HER2+ or the TN classes.

Conclusions

Assessment of proliferation by using Ki-67LI and MS can distinguish subgroups of patients within luminal/hormone receptor-positive breast cancer significantly different in clinical outcomes. Overall, both Ki-67 LI and mitotic-count scores showed comparable results. The method described could provide a cost-effective method for prognostic subclassification of luminal/hormone receptor-positive breast cancer in routine clinical practice.