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  • 中华人民共和国国家卫生健康委员会 主管
  • 中国医学科学院 主办
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  • 刊名:癌症进展
  • Oncology Progress Journal
  • 主管:国家卫生健康委员会
  • 主办:中国医学科学院
  • 社长:张凌
  • 主编:赵平
  • 编辑部主任:穆红
  • 编辑部副主任:陈闻
  • 编辑出版:中国协和医科大学出版社
    《癌症进展》编辑部
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  • 市场运营:惠生文化传媒(北京)有限公司
    李长松 沈杰
  • 印刷:北京联合互通彩色印刷有限公司
  • 国内统一连续出版物号:CN 11-4971/R
  • 国际标准连续出版物号ISSN 1672-1535
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2016 年第 5 期 第 14 卷

磷酸化应激诱导蛋白1和雌激素受体-α蛋白在甲状腺乳头状癌中的表达及其相关性

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关键词:甲状腺乳头状癌磷酸化应激诱导蛋白1雌激素受体-α蛋白桥本氏甲状腺炎

  • 摘要:
  • 【摘要】目的观察分析磷酸化应激诱导蛋白1(STIPI1)与雌激素受体-α(ER-α)蛋白在甲状腺乳头状癌中的表达情况,分析二者与甲状腺乳头状癌发生、发展的相关性.方法:选取
  • sObjective To observe and analyze the phosphorylated protein 1 (STIPI1) and estrogen receptor -α(ER-α) protein in papillary thyroid carcinoma , and analyze the correlation between the two and the occurrence and development of thyroid papillary carcinoma. Methods: 81 cases of patients with papillary thyroid carcinoma were selected , 81 cases of papillary thyroid carcinoma tissues , 15 cases of normal thyroid tissues adjacent cancer tissues , 25 cases of metastasis of thyroid cancer tissues , 23 cases of simple Hashimoto's thyroiditis tissues accompanied by the bridge's thyroiditis , the expression and their correlation of STIP1 protein and ER- protein of each group were observed . Results: Protein positive rate of STIP1 of papillary thyroid carcinoma group and lymph node metastasis group were higher than those of Hashimoto's thyroiditis group and the control group, the positive rate of ER- protein was higher than that of Hashimoto's thyroiditis group and control group, and difference had statistical significance (P < 0.05). Spearman correlation analysis showed that STIP1 protein expression was positively correlated with ER- protein expression (r=0.458, P < 0.05). Conclusion: TIP1 protein and ER- protein have high expressions in papillary thyroid carcinoma, it may be involved in the occurrence, development and metastasis of papillary thyroid carcinoma, there is a positive correlation between the two expressions, it indicates that the two may play a synergistic role in the development of thyroid carcinoma, combined detection can predict the behavior of oncology.