Publication Details

AFRICAN RESEARCH NEXUS

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biochemistry, genetics and molecular biology

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

Breast Cancer Research, Volume 14, No. 1, Article R3, Year 2012

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. © 2011 Alekandarany et al.; licensee BioMed Central Ltd.

Statistics
Citations: 12
Authors: 8
Affiliations: 3
Identifiers
Doi: 10.1186/bcr3084
ISSN: 14655411
e-ISSN: 1465542X
Research Areas
Cancer
Genetics And Genomics
Study Design
Cohort Study