P. Rudolph et al., Immunologic proliferation marker Ki-S2 as prognostic indicator for lymph node-negative breast cancer, J NAT CANC, 91(3), 1999, pp. 271-278
Background: Proper treatment of lymph node-negative breast cancer depends o
n an accurate prognosis. To improve prognostic models for this disease, we
evaluated whether an immunohistochemical marker for proliferating cells, Ki
-S2 (a monoclonal antibody that binds to a 100-kd nuclear protein expressed
in S, G(2), and M phases of the cell cycle), is an accurate indicator of p
rognosis. Methods: We studied 371 Swedish women with lymph node-negative br
east cancer; the median follow-up time was 95 months. The fraction of tumor
cells in S phase was assessed by flow cytometry, and tumor cell proliferat
ion was measured immunohistochemically with the monoclonal antibodies Ki-S2
and Ki-S5 (directed against the nuclear antigen Ki-67), A combined prognos
tic index was calculated on the basis of the S-phase fraction, progesterone
receptor content, and tumor size. Results: In multivariate analyses that d
id or did not (263 and 332 observations, respectively) include the S-phase
fraction and the combined prognostic index, the Ki-S2 labeling index (perce
ntage of antibody-stained tumor cell nuclei) emerged as the most statistica
lly significant predictor of overall survival, disease-specific survival, a
nd disease-free survival (all two-sided P<.0001). In the risk group defined
by a Ki-S2 labeling index of 10% or less, life expectancy was not statisti
cally significantly different from that of age-matched women without breast
cancer, whereas the group with a high Ki-S2 labeling index had an increase
d risk of mortality of up to 20-fold. Conclusions: Cellular proliferation i
s a major determinant of the biologic behavior of breast cancer. Prognosis
is apparently best indicated by the percentage of cells in S through M phas
es of the cell cycle. Measurement of the Ki-S2 labeling index of a tumor sa
mple may improve a clinician's ability to make an accurate prognosis and to
identify patients with a low risk of recurrence who may not need adjuvant
therapy.