Human NNMT ELISA Matched Antibody Pair

There are rules-based machine translation and modulate-based machine translation but they are all based on complex and hardly-summarizing language rules in essence. This paper discusses necessity and possibility of combination between NN(neural network) and traditional search methods, points advantages and disadvantages of NNMT(neural network machine translation) and puts forward a new MT intelligence integration system framework. It can partially solve some contradictions. If it effectively fuses multi-channel to acquire knowledge such as traditional rules acquisition method, NN method, KDK(knowledge discovery in knowledge base) and KDD(knowledge discovery in database), which largely enhances system solution and relieves bottleneck of grammatical semantic rules acquisition to improve overall performance of machine translation.

IntroductionNicotinamide N-methyltransferase (NNMT) is a metabolic enzyme increasingly implicated in tumor progression and resistance to treatment. It is overexpressed in human cancers including glioblastoma, gastric, pancreatic, lung and colorectal cancers. The role of NNMT in cervical adenocarcinoma has not been studied thus far. We aimed to evaluate expression of NNMT in cervical adenocarcinoma and investigate its prognostic significance.MethodsNNMT expression was assayed in 18 cases of cervical adenocarcinoma and 19 cases of benign cervical tissue. NNMT immunoreactivity was scored by multiplying staining intensity with percentage of immunoreactive cells.ResultsThe expression of NNMT was significantly higher in cervical adenocarcinoma than in benign tissue (p=0.024). NNMT expression was significantly higher in patients with locally advanced than early cervical cancer (p=0.031). NNMT expression was higher in patients with tumor size greater than 4cm and in those with poorly differentiated tumors compared to patients with tumors of 4cm or less and well-moderate differentiation, respectively (p=0.044, p=0.014).ConclusionAlthough on a preliminary level, this is the first study to detect an overexpression of NNMT in cervical adenocarcinoma and an increased expression associated with advanced stage, increased tumor size and poor differentiation. NNMT has been shown to carry prognostic and therapeutic importance in a variety of cancers, and it can be a potential treatment target in cervical adenocarcinomas.