Journal of Clinical Oncology, Vol 17, Issue 10
(October), 1999: 3058-3063
© 1999 American Society for Clinical Oncology
Biologic Markers as Predictors of Clinical Outcome From Systemic Therapy for Primary Operable Breast Cancer
J. Chang,
T. J. Powles,
D. C. Allred,
S. E. Ashley,
G. M. Clark,
A. Makris,
L. Assersohn,
R. K. Gregory,
C. K. Osborne,
M. Dowsett
From the Departments of Medicine and Computing, The Royal Marsden Hospital, Sutton, Surrey, United Kingdom; and the Departments of Medical Oncology and Pathology, University of Texas Health Science Center at San Antonio, San Antonio, TX.
Address reprint requests to Jenny Chang, MD, Department of Medical Oncology, National University Hospital, Lower Kent Ridge Rd, Singapore 119074, Singapore; email mdcccn{at}nus.edu.sg
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), c-erbB-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.
Presented in part at the Thirty-Fourth Annual Meeting of the American Society of Clinical Oncology, Los Angeles, CA, May 16-18, 1998.
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