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Introduction: It is known that iron metabolism is dysregulated in nasopharyngeal carcinoma (NPC). However, a meaningful assessment of the iron metabolic status in cancer patient is still under debate. This study aims to evaluate the status of iron metabolism, as well as to explore the correlation between those related serum markers and clinicopathological features of patients with NPC. Methods: Peripheral blood was collected from 191 pretreatment NPC patients and 191 healthy controls. The red blood cell parameters, plasma Epstein-Barr virus (EBV) DNA load, serum iron (SI), total iron-binding capacity (TIBC), transferrin, soluble transferrin receptor (sTFR), ferritin, and hepcidin were quantitatively detected. Results: The mean levels of hemoglobin and red blood cell count in the NPC group were significantly lower than those in the control group, while no statistical differences in mean MCV were found between the two groups. Median levels of SI, TIBC, transferrin, and hepcidin were significantly lower in the NPC group than in the control group. Compared to patients with the T1-T2 classification, patients with the T3-T4 classification exhibited significantly lower expression levels of SI and TIBC. Serum levels of ferritin and sTFR were significantly higher in patients with M1 classification than those with M0 classification. The EBV DNA load was associated with serum levels of sTFR and hepcidin. Conclusion: NPC patients had functional iron deficiency. The degree of iron deficiency was related to the tumor burden and metastasis of NPC. EBV might be involved in the regulation of iron metabolism in the host. [ABSTRACT FROM AUTHOR]

Cloud computing is an emerging technique. Here comes many new development directions. Many researchers over the world show great interests in cloud architecture. Cloud-based video solutions are proposed to meet many technical challenges in the real world. However, the data security is a vital problem, especially about video data. This paper proposed an architecture to mine the huge amount 3D video data. Meanwhile, we designed a model, called Key Encryption Model, to protect the privacy video data. In the meantime, the video mining cloud can decrypt the video data to make sure that the video data is safe and the mining results won't be stolen by the third party. The result proves that transmitting the encrypted video is feasible. Besides, the outlook in this field is also pointed out. [ABSTRACT FROM AUTHOR]