In this paper, the common errors in medical devices test reports are classified and analyzed. And then the main 11 influence factors for these inspection report errors are summarized. The hierarchy model was also developed and verified by presentation data using MATLAB. The feasibility of comprehensive weights quantitative comparison has been analyzed by using the analytic hierarchy process. In the end, this paper porspects the further research direction.
Equipment Failure Analysis ; Equipment and Supplies ; standards ; Models, Theoretical

OBJECTIVETo investigate the expressions of miR-101, protein kinase C-α (PKC-α), and cyclooxygenase-2 (COX-2) in gastric cancer (GC) tissue and their correlations.

METHODSRT-qPCR was used to examine miR-101 expression and Western blotting employed to detect PKC-α and COX-2 expressions in 57 cases of gastric cancer tissues and paired normal gastric mucosal tissues.

RESULTSThe gastric cancer tissues showed a significantly lower miR-101 expression (Z=6.102, P<0.05) but significantly higher expressions of COX-2 (Z=14.436, P<0.05) and PKC-α (Z=6.955, P<0.05) than the normal gastric tissues. The expression of COX-2 protein was significantly correlated with the degree of differentiation, invasion depth, lymph node metastasis and TNM stage (P<0.05); PKC-α protein expression was associated with lymph node metastasis and TNM stage (P<0.05). PKC-α expression was positively correlated (r=0.531, P<0.05) and miR-101 expression negatively correlated (r=-0.627, P<0.05) with COX-2 expression in gastric cancer tissues.

CONCLUSIONSmiR-101, PKC-α and COX-2 all play a role in the tumorigenesis and progression of gastric cancer. miR-101 and PKC-α might be new potential therapeutic targets for inhibiting COX-2 in gastric cancer.

Adult ; Aged ; Aged, 80 and over ; Cyclooxygenase 2 ; metabolism ; Female ; Gastric Mucosa ; metabolism ; Humans ; Male ; MicroRNAs ; metabolism ; Middle Aged ; Neoplasm Staging ; Protein Kinase C-alpha ; metabolism ; Stomach Neoplasms ; metabolism ; pathology