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目的通过计算机图像分析系统对肺腺癌细胞形态参数作定量分析,检测其细胞对多药耐药基因MDR1产物P-pg和p53蛋白的表达,以探讨它们对肺腺癌生物学行为和预后的影响以及它们之间的相互关系。方法用免疫组化及由北京华海公司提供的HPIAS-1000计算机图像测量系统测量一些相关参数。结果肺腺癌中P-pg的表达与淋巴结转移、临床分期及分化程度无关(p>0.05);而与肿瘤预后呈极显著正相关(p<0.005)。p53的表达与肺腺癌分化程度及预后呈显著负相关,与淋巴结转移及分期无关。结论细胞图像分析可作为鉴别肿瘤良恶的手段;P-pg的表达与肺腺癌预后明显正相关,p53的表达与肺腺癌的分化程度及预后呈显著负相关。
Objective To quantitatively analyze the morphological parameters of lung adenocarcinoma cells by computer image analysis system and to detect the expression of P-pg and p53 proteins of multidrug resistance gene MDR1 in their cells, so as to explore their effects on the biological behavior and prognosis of lung adenocarcinoma Impact and their interrelationships. Methods Immunohistochemistry and the HPIAS-1000 computerized image measuring system provided by Beijing Huahai Company were used to measure some related parameters. Results The expression of P-pg in lung adenocarcinoma had no correlation with lymph node metastasis, clinical stage and differentiation (p> 0.05), but had a significant positive correlation with tumor prognosis (p <0.005). There was a significant negative correlation between the expression of p53 and the differentiation degree and prognosis of lung adenocarcinoma, but not with lymph node metastasis and staging. Conclusions Cell image analysis can be used as a tool to identify the malignant and malignant tumors. The expression of P-pg is positively correlated with the prognosis of lung adenocarcinoma. The expression of p53 is significantly negatively correlated with the differentiation and prognosis of lung adenocarcinoma.