To investigate the roles of maspin and kai1 expression in tumorigenesis and progression of gastric cancer. Methods Maspin and kai1 expressions were detected in normal gastric mucosa (n = 182), gastric dysplasia (n = 6...To investigate the roles of maspin and kai1 expression in tumorigenesis and progression of gastric cancer. Methods Maspin and kai1 expressions were detected in normal gastric mucosa (n = 182), gastric dysplasia (n = 69), and gastric cancer (n = 113) by immunohisto-chemistry. Their expressions were compared with clinicopathological parameters of tumors. Relationship between maspin and kai1 expression was also concerned in gastric cancer. Results The positive rates of maspin expression were 79.8% (145/182), 75.4% (52/69), and 50.4% (57/113) in normal gastric mucosa, gastric dysplasia, and gastric cancer, while those of kai1 expression were 81.9% (149/182), 65.2% (49/69), and 58.4% (66/113) in corresponding tissues respectively. Gastric cancer less frequently expressed maspin than the normal gastric mucosa and gastric dysplasia (P < 0.05), while dysplasia and cancer showed less frequent expression of kai1 than normal mucosa (P < 0.05). Maspin expression showed negative association with invasive depth, metastasis, Lauren’s and histological classifications (P < 0.05), but not with tumor size, Borrmann’s classification, growth pattern or TNM staging (P > 0.05). Kai1 expression was negatively correlated with invasive depth, metastasis, growth pattern, Lauren’s and histo-logical classifications (P < 0.05), but not with tumor size, Borrmann’s classification or TNM staging (P > 0.05). Maspin and kai1 were collaboratively expressed in gastric cancer (P < 0.05). Conclusions Down-regulated expressions of maspin and kai1 play an important role in gastric carcinogenesis. Abnormal expression of maspin and kai1 might have inhibitory effects on invasion and metastasis of gastric cancer and act as an effe-ctive and objective marker to indicate the pathobiological behaviors of gastric cancer.展开更多
传统点估计概率潮流计算(Probabilistic Load Flow Calculation Based on Point Estimate Method, PLF-PEM)没有考虑输入随机变量相关系数矩阵非正定之情形。为克服上述不足,更准确地描述输出变量的统计特性,提出一种主元分析结合Cornis...传统点估计概率潮流计算(Probabilistic Load Flow Calculation Based on Point Estimate Method, PLF-PEM)没有考虑输入随机变量相关系数矩阵非正定之情形。为克服上述不足,更准确地描述输出变量的统计特性,提出一种主元分析结合Cornish-Fisher级数展开的PLF-PEM算法。利用主元分析处理相关性输入随机变量,通过点估计方法得到输出变量的各阶矩。结合半不变量理论与Cornish-Fisher级数展开,利用输入变量的离散样本数据求得输出随机变量的数字特征和概率统计信息。算例表明所提算法能适应新能源发电高渗透电力系统的快速概率潮流计算。展开更多
文摘To investigate the roles of maspin and kai1 expression in tumorigenesis and progression of gastric cancer. Methods Maspin and kai1 expressions were detected in normal gastric mucosa (n = 182), gastric dysplasia (n = 69), and gastric cancer (n = 113) by immunohisto-chemistry. Their expressions were compared with clinicopathological parameters of tumors. Relationship between maspin and kai1 expression was also concerned in gastric cancer. Results The positive rates of maspin expression were 79.8% (145/182), 75.4% (52/69), and 50.4% (57/113) in normal gastric mucosa, gastric dysplasia, and gastric cancer, while those of kai1 expression were 81.9% (149/182), 65.2% (49/69), and 58.4% (66/113) in corresponding tissues respectively. Gastric cancer less frequently expressed maspin than the normal gastric mucosa and gastric dysplasia (P < 0.05), while dysplasia and cancer showed less frequent expression of kai1 than normal mucosa (P < 0.05). Maspin expression showed negative association with invasive depth, metastasis, Lauren’s and histological classifications (P < 0.05), but not with tumor size, Borrmann’s classification, growth pattern or TNM staging (P > 0.05). Kai1 expression was negatively correlated with invasive depth, metastasis, growth pattern, Lauren’s and histo-logical classifications (P < 0.05), but not with tumor size, Borrmann’s classification or TNM staging (P > 0.05). Maspin and kai1 were collaboratively expressed in gastric cancer (P < 0.05). Conclusions Down-regulated expressions of maspin and kai1 play an important role in gastric carcinogenesis. Abnormal expression of maspin and kai1 might have inhibitory effects on invasion and metastasis of gastric cancer and act as an effe-ctive and objective marker to indicate the pathobiological behaviors of gastric cancer.
文摘传统点估计概率潮流计算(Probabilistic Load Flow Calculation Based on Point Estimate Method, PLF-PEM)没有考虑输入随机变量相关系数矩阵非正定之情形。为克服上述不足,更准确地描述输出变量的统计特性,提出一种主元分析结合Cornish-Fisher级数展开的PLF-PEM算法。利用主元分析处理相关性输入随机变量,通过点估计方法得到输出变量的各阶矩。结合半不变量理论与Cornish-Fisher级数展开,利用输入变量的离散样本数据求得输出随机变量的数字特征和概率统计信息。算例表明所提算法能适应新能源发电高渗透电力系统的快速概率潮流计算。
