Abstract
Although the presence of axillary node metastases in breast cancer is a key prognostic indicator and may influence treatment decisions, a significant proportion of patients diagnosed as axillary node negative (ANN) using standard histopathological techniques may have occult nodal metastases (OMs). A combination of limited step-sectioning (4 x 100 μm intervals) and immunohistochemical staining (with cytokeratin (MNF.116) and MUC1 (BC2) antibodies) was used to detect OM in a retrospective series of 208 ANN patients. OMs were found in 53 patients (25%), and both step-sectioning and immunohistochemical detection significantly improved detection (P < 0.05). Detection using BC2 (25%) was superior to MNF.116 (18%) and haematoxylin and eosin (H and E) (8%). OMs were found in 51 patients using only the first and deepest sectioning levels and BC2 staining. OMs were more Frequently found in lobular (38%) than ductal carcinoma (25%), and more frequently in women less than 50 years (41%) than in older women (19%). Univariate overall and disease-free survival analyses showed that the presence, size and number of OM had prognostic significance as did tumour size (disease-free only) and histological and nuclear grade (P > 0.05). Cox multivariate proportional hazard regression analyses showed that the presence and increasing size of OMs were significantly associated with poorer disease-free survival, independently of other prognostic factors (P > 0.05). However there was not a significant independent association of the presence of occult metastases with overall survival (P = 0.11). These findings have important implications with regard to selection of ANN patients for adjuvant therapy.
Author supplied keywords
Cite
CITATION STYLE
McGuckin, M. A., Cummings, M. C., Walsh, M. D., Hohn, B. G., Bennett, I. C., & Wright, R. G. (1996). Occult axillary node metastases in breast cancer: Their detection and prognostic significance. British Journal of Cancer, 73(1), 88–95. https://doi.org/10.1038/bjc.1996.16
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.