SummarySomatic mutations and large-scale depletion in mitochondrial DNA (mtDNA) have been extensively detected in various human cancers. However, it still remains unclear whether the alterations in mtDNA content are related to the clinicopathological parameters and patient prognosis in breast cancer. In the present study, we analyzed the copy number of mtDNA in 59 cases of invasive breast tumors and paired nontumorous tissues using quantitative real-time PCR. Our data showed that the level of mtDNA was significantly decreased in tumor tissues as compared to the adjacent nontumorous counterparts (P ¼ 0.001). The reduced copy number in mtDNA was associated with an older onset age ( 50 years old, P ¼ 0.035) as well as a higher histological grade (P ¼ 0.012). Survival analysis measured by the Kaplan-Meier curves and the log-rank test indicated that patients with reduced mtDNA content had significantly poorer disease-free survival (DFS, P ¼ 0.0079) and overall survival (OS, P ¼ 0.011) rate. In addition, tumors harboring mutations in displacement (D)-loop region, particularly at the polycytidine stretch (T/N ratio ¼ 64.3 + 8.2%) or close to the replication origins of the heavy-strand (T/N ratio ¼ 68.7 + 5.5%), had a significantly lower copy number of mtDNA than the ones without D-loop alterations. Together, our results suggested that reduced copy number of mtDNA may be involved in breast neoplastic transformation or progression and mtDNA content might be potentially used as a tool to predict prognosis. Somatic mutation in the D-loop region probably is one of key contributing factors leading to decreased mtDNA level in breast tumors.

Background: Experimental evidence suggests that matrix metalloproteinase-13 (MMP-13) protein may promote breast tumor progression. However, its relevance to the progression of human breast cancer is yet to be established. Furthermore, it is not clear whether MMP-13 can be used as an independent breast cancer biomarker. This study was conducted to assess the expression profile of MMP-13 protein in invasive breast carcinomas to determine its diagnostic and prognostic significance, as well as its correlation with other biomarkers including estrogen receptor (ER), progesterone receptor (PR), Her-2/neu, MMP-2, MMP-9, tissue inhibitor of MMP-1 and -2 (TIMP-1 and TIMP-2).

The axillary lymph node status remains the most valuable prognostic factor for breast cancer patients. However, approximately 20-30% of node-positive patients remain free of distant metastases within 15-30 years. It is important to develop molecular markers that are able to predict for the risk of distant metastasis and to develop patient-tailored therapy strategies. We hypothesize that the lymph node metastases may represent the most metastatic fraction of the primary cancers. Therefore, we sought to identify the differentially expressed genes by microarray between the primary tumors and their paired lymph node metastases samples collected from 26 patients. A set of 79 differentially expressed genes between primary cancers and metastasis samples was identified to correctly separate most of primary cancers from lymph node metastases. And decreased expression of matrix metalloproteinase 2, fibronectin, osteoblast specific factor 2, collagen type XI alpha 1 in lymph node metastases were further confirmed by real-time RT-PCR performed on 30 specimen pairs. This set of genes also classified 35 primary cancers into two groups with different prognosis: "high risk group" and "low risk group." Patients in "high risk group" had a 4.65-fold hazard ratio (95% CI 1.02-21.13, P = 0.047) to develop a distant metastasis within 43 months comparing with the "low risk group." This suggested that the gene signature consisting of 79 differentially expressed genes between primary cancers and lymph node metastases could also predict clinical outcome of node-positive patients, and that the molecular classification based on the gene signature could guide patient-tailored therapy.

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