Abstract

Breast cancer is being diagnosed more frequently in young women. It is important to identify tumors with greater metastatic potential since this information will provide a basis for noninvasive staging of the axilla. The studied population consisted of 66 patients with infiltrating breast carcinoma (56 ductal, 10 lobular) aged 20-34 (mean 29) years. Lymph node status was correlated with the following parameters: size, grade, p53 expression, MIB-1, CD44, c-Erb-2, estrogen, progesterone receptors, and a family history of breast cancer. Immunohistochemical studies utilizing avidinbiotin-peroxidase complex method were performed on formalin-fixed, paraffinembedded tissue. Thirty-nine patients (59%) had positive lymph nodes and 27 (41%) had negative lymph nodes. In multivariate logistic regression analysis, two models with size (p=.0002) and p53 (p=.0379) or size (p=.0002) and MIB-1 (p=.0462) were predictive of nodal involvement. For TI lesions, p53 positivity increased the probability of nodal involvement from 18% to 46% and, for T2 lesions, from 65% to 89%. In the second model, for TI lesions MIB-1 positivity increased the probability of nodal involvement from 10% to 36% and, for T2 lesions, from 48% to 82%. Size, p53, and MIB-1 were found to be valid independent predictors of lymph node metastasis in TI and T2 breast carcinomas in young women. The combination of size with p53 or MIB-1 increases dramatically the predictive impact of these parameters on nodal status. These data may prove useful in selecting patients with increased risk of dissemination and provide a basis for staging the axilla noninvasively.

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