论文部分内容阅读
目的探讨早期胃癌病人临床病理特征及免疫病理与淋巴结转移的相关性。方法对2006年1月至2008年l2月第二军医大学长海医院普通外科诊治的212例早期胃癌病例进行回顾性分析,采用t检验、χ2检验和Logistic回归等统计学方法对肿瘤大小、浸润深度、组织学类型等临床病理特征以及p53、Ki-67、CAM5.2等免疫组化指标与淋巴结转移进行相关性分析。结果肿瘤大体类型、大小、浸润深度、组织分化程度与淋巴结转移存在明显的相关性(P值为0.014、0.001,0.012,0.006,相关系数R为2.213、1.779、4.737、4.15)。免疫病理指标中p53、CAM5.2与淋巴结转移也存在明显相关(P值为0.001和0.000,相关系数R为1.922、3.632)。而年龄、性别、肿瘤位置、多发肿瘤及免疫病理指标中p16、TopoⅡ、Ki?67与淋巴结转移无明显相关性。结论早期胃癌淋巴结转移与肿瘤大小、肿瘤分化程度、浸润深度等明显相关,可参考上述因素判断淋巴结转移风险,同时根据免疫病理指标CAM5.2、P53判断是否存在微转移可能,从而决定治疗方案。
Objective To investigate the clinicopathological features, immunopathology and lymph node metastasis in patients with early gastric cancer. Methods A retrospective analysis was performed on 212 cases of early gastric cancer admitted to the Department of Respiratory Medicine from February 2006 to January 2008 in Dalian Medical University. T-test, χ2 test and Logistic regression were used to analyze the difference of tumor size, depth of invasion , Histological types and other clinical and pathological features as well as p53, Ki-67, CAM5.2 and other immunohistochemical markers and lymph node metastasis correlation analysis. Results The gross type, size, depth of invasion, histological differentiation and lymph node metastasis were significantly correlated (P = 0.014,0.001,0.012,0.006, correlation coefficient R = 2.213,1.779,4.737,4.15). Immunopathological parameters of p53, CAM5.2 and lymph node metastasis are also significantly related (P values were 0.001 and 0.000, the correlation coefficient R was 1.922,3.632). There was no significant correlation between p16, TopoⅡ, Ki-67 and lymph node metastasis in age, sex, tumor location, multiple tumors and immunopathological parameters. Conclusion Lymph node metastasis of early gastric cancer is significantly correlated with tumor size, tumor differentiation and depth of invasion. The risk of lymph node metastasis may be judged by reference to the above factors. At the same time, the possibility of micrometastasis may be judged according to the immunopathological parameters CAM5.2 and P53 to determine the treatment plan.