IntroductionSyntenin is a scaffolding-PDZ domain-containing protein. Although it is reported that syntenin is associated with melanoma growth and metastasis, the possible role of syntenin in breast cancer has not been well elucidated. The present study investigated the expression and function of syntenin in breast cancer.MethodsReal-time polymerase chain reaction (PCR) and Western blots were used to determine the mRNA and protein expression of syntenin. With a combination of overexpression and RNA interference, the effect of syntenin on migration, invasion, and ERK1/2 activation was examined in breast cancer cell lines. The effect of syntenin in vivo was assessed with an orthotropic xenograft tumor model in BALB/c nu/nu mice. In addition, the expression level of syntenin in clinical breast cancer tissues was evaluated with immunohistochemistry. The Kaplan-Meier survival curve was used to evaluate patient survival, and the Cox proportional hazards model was used for multivariate analysis.ResultsOur study showed that syntenin expression was upregulated in high-metastasis breast cancer cell lines and breast cancer tissues. Overexpression of syntenin in breast cancer cells promoted cell migration and invasion in vitro. Moreover, overexpression of syntenin promoted breast tumor growth and lung metastasis in vivo. We further showed that activation of integrin β1 and ERK1/2 was required for syntenin-mediated migration and invasion of breast cancer cells. The correlation between syntenin expression and tumor size (P = 0.011), lymph node status (P = 0.001), and recurrence (P = 0.002) was statistically significant. More important, syntenin expression in primary tumors was significantly related to patients' overall survival (OS; P = 0.023) and disease-free survival (DFS; P = 0.001). Its status was an independent prognostic factor of OS (P = 0.049) and DFS (P = 0.002) in our cohort of patients.ConclusionsThese results suggest that syntenin plays a significant role in breast cancer progression, and it warrants further investigation as a candidate molecular marker of breast cancer metastasis and a potential therapeutic target.

The genetic etiology of hereditary breast cancer has not been fully elucidated. Although germline mutations of high-penetrance genes such as BRCA1/2 are implicated in development of hereditary breast cancers, at least half of all breast cancer families are not linked to these genes. To identify a comprehensive spectrum of genetic factors for hereditary breast cancer in a Chinese population, we performed an analysis of germline mutations in 2,165 coding exons of 152 genes associated with hereditary cancer using next-generation sequencing (NGS) in 99 breast cancer patients from families of cancer patients regardless of cancer types. Forty-two deleterious germline mutations were identified in 21 genes of 34 patients, including 18 (18.2%) BRCA1 or BRCA2 mutations, 3 (3%) TP53 mutations, 5 (5.1%) DNA mismatch repair gene mutations, 1 (1%) CDH1 mutation, 6 (6.1%) Fanconi anemia pathway gene mutations, and 9 (9.1%) mutations in other genes. Of seven patients who carried mutations in more than one gene, 4 were BRCA1/2 mutation carriers, and their average onset age was much younger than patients with only BRCA1/2 mutations. Almost all identified high-penetrance gene mutations in those families fulfill the typical phenotypes of hereditary cancer syndromes listed in the National Comprehensive Cancer Network (NCCN) guidelines, except two TP53 and three mismatch repair gene mutations. Furthermore, functional studies of MSH3 germline mutations confirmed the association between MSH3 mutation and tumorigenesis, and segregation analysis suggested antagonism between BRCA1 and MSH3. We also identified a lot of low-penetrance gene mutations. Although the clinical significance of those newly identified low-penetrance gene mutations has not been fully appreciated yet, these new findings do provide valuable epidemiological information for the future studies. Together, these findings highlight the importance of genetic testing based on NCCN guidelines and a multi-gene analysis using NGS may be a supplement to traditional genetic counseling.

ObjectiveThe aim of this study was to evaluate clinicopathologic factors that could possibly affect the outcome of patients with triple negative breast cancer and subsequently build a prognostic model to predict patients’ outcome.MethodsWe retrospectively analyzed clinicopathologic characteristics and outcome of 504 patients diagnosed with triple-negative invasive ductal breast cancer. 185 patients enrolled between 2000 and 2002 were designated to the training set. The variables that had statistically significant correlation with prognosis were combined to build a model. The prognostic value of the model was further validated in the separate validation set containing 319 patients enrolled between 2003 and 2006. ResultsThe median follow-up duration was 66 months. 174 patients experienced recurrence, and 111 patients died. Positivity for ≥4 lymph nodes, Cathepsin-D positivity, and Ki-67 index ≥20% were independent factors for DFS, while the lymph nodes status and Ki-67 index were the prognostic factors for OS. The prognostic model was established based on the sum of all three factors, where positivity for ≥4 lymph nodes, Cathepsin-D and Ki-67 index ≥20% would individually contribute 1 point to the risk score. The patients in the validation set were assigned to a low-risk group (0 and 1 point) and a high-risk group (2 and 3 points). The external validation analysis also demonstrated that our prognostic model provided the independent high predictive accuracy of recurrence.ConclusionThis model has a considerable clinical value in predicting recurrence, and will help clinicians to design an appropriate level of adjuvant treatment and schedule adequate appointments of surveillance visits.