Ep-CAM RNA expression predicts metastasis-free survival in three cohorts of untreated node-negative breast cancer.

Epithelial cell adhesion molecule (Ep-CAM) recently received increased attention as a prognostic factor in breast cancer. We aimed to validate the influence of Ep-CAM RNA expression in untreated node-negative breast cancer. Ep-CAM RNA expression was evaluated utilizing microarray-based gene-expression profiling in 194 consecutive node-negative breast cancer patients with long-term follow-up not treated in the adjuvant setting. The prognostic significance of Ep-CAM RNA expression for disease-free survival (DFS), metastasis-free survival (MFS), and breast cancer-specific overall survival (OS) was evaluated in univariate and multivariate analysis adjusted for age, grading, pTstage, ER as well as PR receptor and HER-2 status. Additionally, Ep-CAM RNA expression was compared with immunohistochemistry (IHC) for Ep-CAM in 194 patients. The prognostic impact of Ep-CAM gene expression was validated in further 588 node-negative breast cancer patients. Levels of Ep-CAM RNA expression showed a significant correlation with IHC (P = 0.001) and predicted in univariate analysis DFS (P = 0.001, HR = 2.4), MFS (P = 0.003, HR = 2.5), and OS (P = 0.002, HR = 3.1) accurately. The prognostic influence of Ep-CAM RNA was significant also in multivariate analysis for DFS (P = 0.017, HR = 2.0), MFS (P = 0.049, HR = 1.9), and OS (P = 0.042, HR = 2.3), respectively. The association with MFS was confirmed in an independent validation cohort in univariate (P = 0.006, HR = 1.9) and multivariate (P = 0.035, HR = 1.7) analysis. Ep-CAM RNA correlated with the proliferation metagene (P < 0.001, R=0.425) Nevertheless, in multivariate analysis, Ep-CAM was associated with MFS independent from the proliferation metagene (P = 0.030, HR = 1.8). In conclusion, Ep-CAM RNA expression is associated with poor MFS in three cohorts of untreated node-negative breast cancer.

Tumor-associated lymphocytes as an independent predictor of response to neoadjuvant chemotherapy in breast cancer.

PURPOSE Preclinical data suggest a contribution of the immune system to chemotherapy response. In this study, we investigated the prespecified hypothesis that the presence of a lymphocytic infiltrate in cancer tissue predicts the response to neoadjuvant chemotherapy. METHODS We investigated intratumoral and stromal lymphocytes in a total of 1,058 pretherapeutic breast cancer core biopsies from two neoadjuvant anthracycline/taxane-based studies (GeparDuo, n = 218, training cohort; and GeparTrio, n = 840, validation cohort). Molecular parameters of lymphocyte recruitment and activation were evaluated by kinetic polymerase chain reaction in 134 formalin-fixed, paraffin-embedded tumor samples. Results In a multivariate regression analysis including all known predictive clinicopathologic factors, the percentage of intratumoral lymphocytes was a significant independent parameter for pathologic complete response (pCR) in both cohorts (training cohort: P = .012; validation cohort: P = .001). Lymphocyte-predominant breast cancer responded, with pCR rates of 42% (training cohort) and 40% (validation cohort). In contrast, those tumors without any infiltrating lymphocytes had pCR rates of 3% (training cohort) and 7% (validation cohort). The expression of inflammatory marker genes and proteins was linked to the histopathologic infiltrate, and logistic regression showed a significant association of the T-cell-related markers CD3D and CXCL9 with pCR. CONCLUSION The presence of tumor-associated lymphocytes in breast cancer is a new independent predictor of response to anthracycline/taxane neoadjuvant chemotherapy and provides useful information for oncologists to identify a subgroup of patients with a high benefit from this type of chemotherapy.

Coordinates in the universe of node-negative breast cancer revisited.

We present a global picture of the natural history of node-negative breast cancer in which two of three important biological processes have outstanding prognostic consequences. We propose that the transition from slow to fast proliferation of the tumor leads to the most dramatic aggravation of prognosis. Second, immune cell infiltration is of major importance to prevent disease progression in fast-proliferating breast carcinomas, regardless of estrogen receptor status. In the absence of endocrine treatment, steroid hormone receptor expression as a third axis is of limited prognostic importance. Dissecting tumors according to these three major biological axes will allow further understanding of biological processes relevant for tumor progression in patients with node-negative breast cancer.

The humoral immune system has a key prognostic impact in node-negative breast cancer.

Estrogen receptor (ER) expression and proliferative activity are established prognostic factors in breast cancer. In a search for additional prognostic motifs, we analyzed the gene expression patterns of 200 tumors of patients who were not treated by systemic therapy after surgery using a discovery approach. After performing hierarchical cluster analysis, we identified coregulated genes related to the biological process of proliferation, steroid hormone receptor expression, as well as B-cell and T-cell infiltration. We calculated metagenes as a surrogate for all genes contained within a particular cluster and visualized the relative expression in relation to time to metastasis with principal component analysis. Distinct patterns led to the hypothesis of a prognostic role of the immune system in tumors with high expression of proliferation-associated genes. In multivariate Cox regression analysis, the proliferation metagene showed a significant association with metastasis-free survival of the whole discovery cohort [hazard ratio (HR), 2.20; 95% confidence interval (95% CI), 1.40-3.46]. The B-cell metagene showed additional independent prognostic information in carcinomas with high proliferative activity (HR, 0.66; 95% CI, 0.46-0.97). A prognostic influence of the B-cell metagene was independently confirmed by multivariate analysis in a first validation cohort enriched for high-grade tumors (n = 286; HR, 0.78; 95% CI, 0.62-0.98) and a second validation cohort enriched for younger patients (n = 302; HR, 0.83; 95% CI, 0.7-0.97). Thus, we could show in three cohorts of untreated, node-negative breast cancer patients that the humoral immune system plays a pivotal role in metastasis-free survival of carcinomas of the breast.