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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There is sufficient evidence that human stomatin-like protein 2 (SLP-2) is a novel cancer-related gene. Its protein is overexpressed in many human cancers. SLP-2 can contribute to the promotion of cell growth, cell adhesion, and tumorigenesis in esophageal squamous cell carcinoma and lymph node metastasis in laryngeal squamous cell carcinoma. Immunohistochemical detection of SLP-2, estrogen and progesterone receptors, and HER-2/neu were performed on 263 cases of primary invasive breast cancer with a tissue microarray. Of 263 cases, 138 (52.5%) showed high expression of SLP-2 protein, and 125 (47.5%) showed low or absent expression. In addition, there were significant positive associations between tumor stage and size (P = .020), lymph node metastasis (P < .001), clinical stage (P < .001), distant metastasis (P = .002), and HER-2/neu protein expression (P = .037) and high-level SLP-2 expression. High-level SLP-2 expression was associated with decreased overall survival (P = .011) and was more often found in patients with tumors larger than 20 mm, lymph node metastasis, advanced clinical stage, distant metastasis, and HER-2/neu protein-positive expression. More important, lymph node metastasis, HER-2/neu-positive expression, and high-level SLP-2 expression were associated with significantly decreased survival.

The evolving nature and accumulating volume of real-world data inevitably give rise to the so-called "concept drift" issue, causing many deployed Case-Based Reasoning (CBR) systems to require additional maintenance procedures. In Case-base Maintenance (CBM), case-base editing strategies to revise the case-base have proven to be effective instance selection approaches for handling concept drift. Motivated by current issues related to CBR techniques in handling concept drift, we present a two-stage case-base editing technique. In Stage 1, we propose a Noise-Enhanced Fast Context Switch (NEFCS) algorithm which targets the removal of noise in a dynamic environment, and in Stage 2, we develop an innovative Stepwise Redundancy Removal (SRR) algorithm which reduces the size of the case-base by eliminating redundancies while preserving the case-base coverage. Experimental evaluations on several public real-world datasets show that our case-base editing technique significantly improves accuracy compared to other case-base editing approaches on concept drift tasks, while preserving its effectiveness on static tasks.

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