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Objective: Early detection is a prerequisite to the effective reduction of morbidity and mortality from breast cancer. The present study intended to employ a high-throughput membrane array to detect a panel of mRNA markers expressed by circulating tumor cells (CTCs) in the peripheral blood of female patients with breast cancer. Methods: Peripheral blood was sampled from 92 breast cancer patients and 100 normal persons. CTCs were detected by using a membrane array technique. The markers used included the pituitary tumor transforming gene 1, survivin, UbcH10 and thymidine kinase 1. Results: The results showed that the membrane array could positively detect 5 cancer cells per 1 ml of peripheral blood in breast cancer cell dilution experiments. For the panel of 4 mRNA markers, sensitivity and specificity were elevated up to 86 and 88%, respectively. Furthermore, it was found that the patients’ clinicopathological characteristics tumor size (p = 0.006), histologic grade (p = 0.012), lymph node metastasis (p = 0.001) and TNM stage (p = 0.006) significantly correlated with the positive detection rate of the multimarker panel. Conclusions: These findings demonstrated that our multimarker membrane array method could detect CTCs in the circulation of breast cancer patients with considerably high sensitivity and specificity. Copyright © 2006 S. Karger AG, Basel [ABSTRACT FROM AUTHOR]

Background: To formulate individually tailored therapy for patients with early-stage breast cancer, it is necessary to identify biomarkers for predicting metastasis and survival. Methods: A homogeneous cohort of 92 T1-2N0M0 breast carcinoma patients with a long-term follow-up were divided into two groups: the metastasis group (n = 41) and the disease-free group (n = 51). We evaluated the ability of risk discrimination of six biomarkers, including S100A4, Met, bcl-2, p53, survivin, and HER-2/neu, in early- stage breast cancer. Results: In multiple logistic regression analysis, only S100A4 expression (odds ratio = 5.37, p = 0.008) and Met expression (odds ratio = 6.91, p = 0.002) were independent predictors of distant relapse. Multivariate Cox models showed S100A4 and Met expressions were associated with 10-year disease-free survival (DFS) (risk ratio 3.2 and 4.0, respectively); however, tumor size and histological grade were not significant predictors. The 10-year DFS of T1-2N0M0 patients was 55.4%. T1-2N0M0 patients with S100A4-positive tumors had a significantly worse 10-year DFS than those with S100A4-negative tumors (29.0 vs. 68.9 %, p = 0.001). The 10-year DFS in T1-2N0M0 patients with Met-negative tumors was 82.4 vs. 39.7% if Met expression was positive (p = 0.0002). S100A4, but not Met, was still a significant predictor of 10-year DFS in T1N0M0 breast carcinoma patients (p = 0.02). For the T2N0M0 subgroup, both S100A4 and Met were significantly correlated with survival. The 10-year DFS of T2N0M0 patients with S100A4- negative and Met-negative tumors was 92.3%; in those with S100A4-positive and Met-positive tumors, however, it was only 11.8%. Conclusions: S100A4 expression is an indicator of a poor prognosis for T1N0M0 breast cancer. In addition, the combination of S100A4 and Met expression gives the best risk group discrimination in the T2N0M0 subgroup. S100A4 expression appears to be an earlier step in the metastatic progression compared to Met expression in early-stage breast carcinoma. [ABSTRACT FROM AUTHOR]