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高细胞周期蛋白E表达和低p27/Kip1表达可能是肺腺癌患者预后不良的因素。

High cyclin E and low p27/Kip1 expressions are potentially poor prognostic factors in lung adenocarcinoma patients.

作者信息

Hayashi H, Ogawa N, Ishiwa N, Yazawa T, Inayama Y, Ito T, Kitamura H

机构信息

Department of Pathology, Yokohama City University School of Medicine, 3-9 Fukuura, Kanazawa-ku, Yokohama, 236-0004, Japan.

出版信息

Lung Cancer. 2001 Oct;34(1):59-65. doi: 10.1016/s0169-5002(01)00211-2.

Abstract

Cyclin E is an important regulator of entry into the S phase of the cell cycle. p27/Kip1 (p27) binds to cyclin E/Cdk2 complex and negatively regulates cell proliferation. We immunohistochemically examined the expression of cyclin E and p27 in 98 cases of resected lung adenocarcinoma to evaluate the prognostic significance of cyclin E and p27. Cyclin E was expressed in 16 cases (16%), and p27 was expressed in 41 cases (42%). Using Kaplan-Meier survival analysis, patients with cyclin E positive (P=0.0017) and p27 negative (P=0.011), both individually and in combination (P<0.0001), had a worse prognosis. We also analyzed the relationship of these findings to clinicopathological parameters, which revealed that cyclin E-positive, p27-negative cases had a higher Ki67 expression (P=0.012) and a higher rate of lymph node metastasis (P=0.0078) than other groups. Our results suggested that cyclin E over expression, in association with p27 reduction in particular, may potentially be a poor prognostic factor in lung adenocarcinoma patients. However, to verify the prognostic significance of these factors, a multivariate analysis of a larger number of patients should be undertaken.

摘要

细胞周期蛋白E是细胞周期进入S期的重要调节因子。p27/Kip1(p27)与细胞周期蛋白E/Cdk2复合物结合并负向调节细胞增殖。我们采用免疫组织化学方法检测了98例手术切除的肺腺癌中细胞周期蛋白E和p27的表达,以评估细胞周期蛋白E和p27的预后意义。细胞周期蛋白E在16例(16%)中表达,p27在41例(42%)中表达。采用Kaplan-Meier生存分析,细胞周期蛋白E阳性(P=0.0017)和p27阴性(P=0.011)的患者,无论是单独还是联合(P<0.0001),预后都较差。我们还分析了这些结果与临床病理参数的关系,结果显示细胞周期蛋白E阳性、p27阴性的病例比其他组具有更高的Ki67表达(P=0.012)和更高的淋巴结转移率(P=0.0078)。我们的结果表明,细胞周期蛋白E的过度表达,尤其是与p27减少相关,可能是肺腺癌患者预后不良的一个因素。然而,为了验证这些因素的预后意义,应该对更多患者进行多因素分析。

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