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Wei Ju,1,2,* Guan-fa Luo,1,* Yuan-yuan Shi,3 Fei-jun Zhou,1 Meng-qi Li,1 Jian-hui Xu,1 Zhi-xin Yan,2 Xi-hu Yang1 1Department of Oral and Maxillofacial Surgery, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, 212001, People’s Republic of China; 2Department of Burn and Plastic Surgery, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, 212001, People’s Republic of China; 3Department of Pathology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, 212001, People’s Republic of China*These authors contributed equally to this workCorrespondence: Xi-hu Yang, Email yangxihu1981@126.comObjective: Sebaceous carcinoma (SC) of the submandibular gland is extremely rare. Owing to the low morbidity and nonspecific clinical manifestations, diagnosis is commonly delayed, which increases metastasis and mortality. To date, there have been five reported cases of SC of the submandibular gland. Here, we present a new case and review the relevant literature.Methods and Results: A 36-year-old woman presented with an enlarged left submandibular gland. Clinical features included a non-tender solitary nodular mass with normal overlying skin. There were no special findings on computed tomography or ultrasound examination except for a swollen mass in the left submandibular gland. The patient underwent surgical resection. Pathological examination confirmed the diagnosis of SC with nerve infiltration. Immunohistochemical examination of this case showed positive staining for P63, P40, CK7, CK8/18, MLH1, MSH2, MSH6, and PMS2. The specimen was negative for androgen receptor, CEA, S-100, CK5/6, SOX-10, SOX-11, SMA, and GCDFP-15. The KI-67 labeling index was determined to be 15%. PAS and anti-epithelial membrane antigen were positive in partial area. The patient is still undergoing follow-up, and no metastasis or recurrence has been observed for 2 months.Conclusion: This case highlighted the fact that despite its rarity, SC should be considered as a differential diagnosis for masses located in the head and face. Early and accurate diagnosis, followed by wide surgical excision, has a favorable prognosis. Therefore, clinicians should be familiar with the clinical and pathological features of this disease.Keywords: sebaceous carcinoma, salivary gland neoplasms, submandibular gland, androgen receptor, P63, P40

Object: MicroRNAs (miRNAs) play key roles in progression of cervical cancer. In the present study, we investigated the role of miR-214 in the process of migration, invasion and drug sensitivity to cisplatin in cervical cancer. Methods: We detected the differential expression of miR-214 in 19 cases cervical cancer tissues and normal tissues as well as 4 cervical cancer cells and one normal cervical cells by Real-time PCR. Then, wound healing assay, transwell invasion assay and MTT were used to detect the effects of migration, invasion and sensitivity to cisplatin of cervical cancer when miR-214 was overexpressed. Western blot, immunofluorescence and Flow Cytometry were used to detect the mechanism of migration, invasion and sensitivity to cisplatin. Next, bioinformatics analysis was used to find the target of miR-214. Through the luciferase reporter assay, Real-time PCR and western blot, we confirmed the binding relationship of miR-214 and FOXM1. In cervical cancer tissues, the expression of FOXM1 was detected by western blot and Immunohistochemistry. We also knocked down FOXM1 in cervical cancer cells, wound healing assay, transwell invasion assay and MTT were performed to detect the migration, invasion and sensitivity to cisplatin abilities of FOXM1. Western blot and Flow Cytometry were used to detect the mechanism of migration, invasion and sensitivity to cisplatin by FOXM1. Finally, we performed rescue expriments to confirm the function relationship between miR-214 and FOXM1. Results: 1. Our results showed that miR-214 was frequently downregulated in tumor tissues and cancer cells especially in CIN III and cervical cancer stages. 2. Overexpression of miR-214 significantly inhibited migration and invasion of cervical cancer cells and prompted the sensitivity to cisplatin. 3. FOXM1 was identified as a target of miR-214 and down-regulated by miR-214. 4. Knocking down FOXM1 could inhibited migration and invasion of cervical cancer cells and prompted the sensitivity to cisplatin. 5. FOXM1 was upregulated in tumor tissues. 6. The mechanism of migration, invasion and sensitivity to cisplatin were the resluts of changes of EMT and apoptosis. 7. The restoration of FOXM1 expression can counteract the effect of miR-214 on cell migration, invasion and sensitivity to cisplatin of cervical cancer cells. Conclusions: These findings indicate that miR-214 acts as a tumor suppressor during the process of migration, invasion and drug sensitivity through targeting FOXM1, suggesting miR-214 as a potential new diagnostic and therapeutic target for the treatment of cervical cancer.

Switching mode power supply is more prone to degradation and even failure In most electronic systems. Especially output electrolytic filter capacitor is the principal component leading to SMPS failure. The paper presents a feasible and precise fault diagnosis method to output electrolytic filter capacitor in SMPS. According to the method, we can realize real-time and online fault diagnosis to electrolytic filter capacitor by monitoring output-ripple voltage and finishing failure-prewarning by setting a threshold.

Influential nodes in large-scale complex networks are very important for accelerating information propagation, understanding hierarchical community structure and controlling rumors spreading. Classic centralities such as degree, betweenness and closeness, can be used to measure the node influence. Other systemic metrics, such as k-shell and H-index, take network structure into account to identify influential nodes. However, these methods suffer some drawbacks. For example, betweenness is an effective index to identify influential nodes. However, computing betweenness is a high time complexity task and some nodes with high degree are not highly influential nodes. Presented in this paper is a simple and effective node influence measure index model based on a triangular structure between a node and its neighbor nodes (local triangle centrality (LTC)). The model considers not only the triangle structure between nodes, but also the degree of the surrounding neighbor nodes. However, in complex networks the numbers of triangles for a pair of nodes are extremely unbalanced, a sigmoid function is introduced to bound the number of triangles for each pair of nodes between 0 and 1. The LTC model is very flexible and can be used to measure the node influence on weighted complex networks. We detailedly compare the influential nodes produced by different approaches in Karata network. Results show that LTC can effectively identify the influential nodes. Comprehensive experiments are conducted based on six real complex networks with different network scales. We select highly influential nodes produced by five benchmark approaches and LTC model to run spreading processes by the SIR model, thus we can evaluate the efficacies of different approaches. The experimental results of the SIR model show that LTC metric can more accurately identify highly influential nodes in most real complex networks than other indicators. We also conduct network robustness experiment on four selected networks by computing the ratio of nodes in giant component to remaining nodes after removing highly influential nodes. The experimental results also show that LTC model outperforms other methods.