RESUMO
Objective To measure the expression of La-related protein 1 (LARP1) in gastric carcinoma and investigate its relationship with the biologic behavior of gastric carcinoma.Methods Expression of LARP1 protein in 30 gastric carcinoma tissues and para-carcinoma tissues and 30 normal gastric specimens was detected by immunohistochemistry.Results The mean density of LARP1 expression in gastric carcinoma (0.19-± 0.13) was significantly higher than that in adjacent tissues (0.07 ± 0.12) and normal tissue (0.01 ± 0.03) (P ＜ 0.01).Along with the increasing of TNM stage,LARP1 in gastric carcinoma tissue expression was significantly increased (stage Ⅰ vs.Ⅱ vs.Ⅲ + Ⅳ =0.06 ± 0.07 vs.0.20 ± 0.12 vs.0.30 ± 0.08,P =0.001) and lymph node metastasis in patients with LARP1 expression levels than those without lymph node metastasis (0.22 ± 0.12 vs.0.11 ± 0.14,P =0.038).The amount of expression in poorly differentiated carcinoma LARP1 is significantly higher than that in high grade carcinoma (0.24 ± 0.12 vs.0.12 ± 0.12,P =0.022),but has no correlation with age or gender of patient.It has no correlation with the size and location of tumor.Conclusions LARP1 is overexpres sed in gastric carcinoma and para-carcinoma tissues.It is significantly related to the malignant biological behavior of gastric cancer and may play an important role in the carcinogenesis and development of gastric carcinoma.
RESUMO
Conventional medical experiments can hardly simulate cardiac excitation propagation and observe the evolvement of cardiac electrical activities firsthand as is possible with computer simulation. Based on the anatomic structure of the heart, simulation of cardiac electrical activity mainly consists of the emulation of the excitation process among the cardiac cells and calculation of the electrical activities of individual cardiac cells. In this study we establish a geometric ventricular structure model demonstrating the direction of the cardiac muscle fibers and the layers of the ventricular cells, and endow different action potential models to the ventricular cells of different layers, and observe the activation process of the ventricular parts in view of the three-dimensional anatomy. This method gives attention to both enough calculation amounts and efficiency, which achieves satisfactory simulation results of ventricular electrical activity based on the anatomic structure and cell electrophysiology through an improved algorithm on personal computer.