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目的:检测乳腺癌组织中Skp2和p27kip1 mRNA的表达,探讨其在乳腺癌发生、发展中的作用及其相关性。方法:采用半定量逆转录聚合酶链反应法(RT-PCR)检测40例乳腺癌组织,20例乳腺纤维腺瘤组织和20例正常乳腺组织中Skp2 mRNA和p27kip1 mRNA的表达,并分析其在乳腺癌组织中的表达水平与临床病理因素的关系。结果:乳腺癌组织中Skp2 mRNA表达较乳腺纤维腺瘤组织及正常乳腺组织明显增高(P<0.05),在正常乳腺组织和乳腺纤维腺瘤组织中差异无统计学意义(P>0.05);而p27kip1 mRNA表达较乳腺纤维腺瘤组织及正常乳腺组织明显降低(P<0.05),在正常乳腺组织和乳腺纤维腺瘤组织中表达差异无统计学意义(P>0.05)。乳腺癌组织中Skp2 mRNA表达水平与组织学分级、淋巴结转移程度呈正相关;p27kip1 mRNA表达水平与组织学分级、淋巴结转移程度呈负相关。2种基因表达均与患者年龄、绝经状况、肿瘤大小及病理学分期无关(P>0.05)。乳腺癌组织中Skp2 mRNA与p27kip1 mRNA表达呈负相关。结论:乳腺癌组织Skp2和p27kip1参与了乳腺癌的发生、发展过程,两指标的联合检测可能有助于预测乳腺癌预后。
OBJECTIVE: To detect the expression of Skp2 and p27kip1 mRNA in breast cancer tissues and to explore their roles in the development and progression of breast cancer. Methods: The expressions of Skp2 mRNA and p27kip1 mRNA in 40 breast cancer tissues, 20 breast fibroadenoma tissues and 20 normal breast tissues were detected by semi-quantitative RT-PCR. Relationship between the expression level of breast cancer and clinicopathological factors. Results: The expression of Skp2 mRNA in breast cancer tissues was significantly higher than that in breast fibroadenomas and normal breast tissues (P <0.05), while there was no significant difference between normal breast tissues and fibroadenoma tissues (P> 0.05). The expression of p27kip1 mRNA was significantly lower than that of breast fibroadenoma and normal breast tissue (P <0.05), but there was no significant difference between normal breast and fibroadenoma (P> 0.05). Skp2 mRNA expression in breast cancer was positively correlated with histological grade and lymph node metastasis. The expression of p27kip1 mRNA was negatively correlated with histological grade and lymph node metastasis. The expression of the two genes was not associated with the age, menopausal status, tumor size and pathological staging (P> 0.05). There was a negative correlation between Skp2 mRNA and p27kip1 mRNA expression in breast cancer tissues. Conclusion: Skp2 and p27kip1 in breast cancer are involved in the occurrence and development of breast cancer. The combined detection of these two indexes may be helpful to predict the prognosis of breast cancer.