摘要
目的探究甲状腺肿瘤中p16蛋白表达的临床病理分析。方法随机选取高唐县人民医院2018年6月-2019年6月收治的完成甲状腺肿瘤治疗的40例患者为研究对象,全部患者均采用免疫组织化学技术对其p16蛋白的表达进行检测,同时对其肿瘤的类型、组织分期以及TNM分期间的关系进行相应分析。结果甲状腺腺瘤p16蛋白的表达情况与甲状腺癌比较,差异有统计学意义(P<0.05);不同类型甲状腺癌之间的p16蛋白的表达情况比较,差异无统计学意义(P>0.05)。甲状腺癌低分化的p16蛋白表达阳性率低于高分化,差异有统计学意义(P<0.05);中分化分别与高分化、低分化比较,差异均无统计学意义(P>0.05)。甲状腺癌各TNM分期间p16蛋白的表达比较,差异均无统计学意义(P>0.05)。结论就甲状腺肿瘤患者而言,p16蛋白的表达缺失与甲状腺癌的发生及分化存在密切联系,但甲状腺癌进展与该蛋白的表达无明显联系。
Objective To investigate the clinicopathological analysis of p16 protein expression in thyroid tumors. Methods Forty patients who completed the treatment of thyroid tumor in Gaotang County People’s Hospital from June 2018 to June 2019 were randomly selected as the research objects. The expression of p16 protein was detected by immunohistochemistry in all patients,and the relationship among tumor type,tissue stage and TNM stage was analyzed. Results The expression of p16 protein was compared between thyroid adenoma and thyroid cancer,and the difference was statistically significant(P<0.05),but there were no significant differences among different types of thyroid cancer(P>0.05). The positive rate of p16 protein expression in poorly differentiated thyroid carcinoma was significantly lower than that in well differentiated thyroid carcinoma(P <0.05),but there was no significant difference between medium differentiation and high differentiation or low differentiation(P>0.05). There were no significant differences in the expression of p16 protein among different TNM stages of thyroid carcinoma(P>0.05). Conclusion In patients with thyroid cancer,the lack of p16 protein expression was closely related to the occurrence and differentiation of thyroid cancer,but the progression of thyroid cancer was not obviously related to the expression of p16 protein.
作者
王建彬
孙洋
WANG Jian-bin;SUN Yang(Department of Pathology,Gaotang County People's Hospital,Liaocheng Shandong Province 252800,China)
出处
《中国城乡企业卫生》
2020年第11期13-15,共3页
Chinese Journal of Urban and Rural Enterprise Hygiene
关键词
甲状腺肿瘤
P16蛋白
表达
病理分析
Thyroid tumors
P16 protein
Expression
Pathological analysis