Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/129171
Title: Biologic markers as predictors of clinical outcome from systemic therapy for primary operable breast cancer
Authors: Chang, J. 
Powles, T.J.
Allred, D.C.
Ashley, S.E.
Clark, G.M.
Makris, A.
Assersohn, L.
Gregory, R.K.
Osborne, C.K.
Dowsett, M.
Issue Date: Oct-1999
Citation: Chang, J.,Powles, T.J.,Allred, D.C.,Ashley, S.E.,Clark, G.M.,Makris, A.,Assersohn, L.,Gregory, R.K.,Osborne, C.K.,Dowsett, M. (1999-10). Biologic markers as predictors of clinical outcome from systemic therapy for primary operable breast cancer. Journal of Clinical Oncology 17 (10) : 3058-3063. ScholarBank@NUS Repository.
Abstract: Purpose: To determine whether pretreatment clinical features and molecular markers, together with changes in these factors, can predict treatment response and survival in patients with primary operable breast cancer who receive neoadjuvant therapy. Patients and Methods: Mitoxantrone, methotrexate (with or without mitomycin), and tamoxifen chemoendocrine therapy was administered to 158 patients before surgery. Clinical response was assessed after four cycles of treatment. Fine-needle aspiration cytology for estrogen receptor (ER), progesterone receptor (PgR), cerbB-2, p53, bcl-2, Ki67, S-phase fraction (SPF), and ploidy were performed pretreatment and repeated on day 10 or day 21 after the first cycle of treatment. Results: Good clinical response (GCR, defined as complete response or minimal residual disease) was achieved in 31% of patients (49 of 158). Tumor size, nodal disease, response, ER, PgR, c-erbB-2, p53, bcl-2, Ki67, SPF, and ploidy were analyzed as predictors of survival. By univariate analysis, node-positive disease (P = .05), lack of ER (P < .05) and PgR (P < .05), and failure to attain GCR (P = .008) were associated with a significantly increased risk of relapse. A significantly increased risk of death was associated with node- positive disease (P = .02), lack of ER expression (P = .04), and failure to attain GCR. By multivariate analysis, GCR was an independent predictor for survival (P = .05). ER expression (P = .03), absence of c-erbB-2 (P = .03), and a decrease in Ki67 on day 10 or day 21 of the first cycle (P < .05) significantly predicted for subsequent GCR. Conclusion: Molecular markers may be used to predict the likelihood of achieving GCR, which seems to be a valid surrogate marker for survival.
Source Title: Journal of Clinical Oncology
URI: http://scholarbank.nus.edu.sg/handle/10635/129171
ISSN: 0732183X
Appears in Collections:Staff Publications

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