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目的观察人类主要细胞周期素(Cyclin D1、E、A、B1)在临床肿瘤细胞中表达特征并进行分类,探讨其对临床肿瘤分类的可行性及潜在意义。方法用流式细胞术(FCM)双参数法半定量检测161例恶性肿瘤手术切除标本细胞中Cyclin D1、E、A、B1表达,根据不同Cyclin在细胞周期中的作用及其异常表达特征,将肿瘤细胞主要Cyclin表达分为不同类型。结果细胞周期外Cyclin(D1)及周期内Cyclins(E、A、B1)在临床肿瘤细胞中表达无组织差异性(P>0.05)。其异常表达大致可归为5种类型:Ⅰ型Cyclin(D1、E、A、B1)均高表达;Ⅱ型Cyclin D1低表达,Cyclin(E、A、B1)不同形式高表达;Ⅲ型Cyclin D1不表达,Cyclin(E、A、B1)不同形式高表达;Ⅳ型Cyclin D1不表达,Cyclin(E、A、B1)不同形式低表达;Ⅴ型Cydin(D1、E、A、B1)均不表达;再根据各型中不同周期内Cyclin的优势表达分为相应不同的亚型。a亚型:Cyclin(E、B1)表达为主;b亚型:Cyclin E表达为主;C亚型:Cyclin B1表达为主;d亚型:Cyclin(E、A、B1)表达为主。肿瘤细胞主要Cyclin表达类型及相应亚型分布无组织来源的差异性(P>0.05)。结论主要Cyclins表达类型可以作为不同组织来源肿瘤分类的依据,可能是体现不同肿瘤细胞周期破坏共同特征较为客观分类方法。
Objective To observe the expression characteristics of major human cyclins (Cyclin D1, E, A, B1) in clinical tumor cells and to classify them to explore their feasibility and potential significance in the classification of clinical tumors. Methods The expression of Cyclin D1, E, A and B1 in 161 specimens of malignant tumor was semi-quantitatively assayed by flow cytometry (FCM) double-parameter method. According to the different Cyclin in the cell cycle and abnormal expression, The major Cyclin expression in tumor cells is divided into different types. Results The expression of Cyclin (D1) and Cyclins (E, A, B1) in the tumor cells were not significantly different between the two groups (P> 0.05). The expression of Cyclin D1 is highly expressed, the expression of Cyclin D1 is low, Cyclin (E, A, B1) is highly expressed in different forms, while Cyclin D1 D1, E, A, B1) were highly expressed in different forms of Cyclin (E, A, B1); Cyclin D1 was not expressed in type Ⅳ, No expression; according to different types of Cyclin in different cycles, the dominant expression is divided into different subtypes. a subtype: Cyclin (E, B1) expression is dominant; subtype B is Cyclin E expression; subtype C is Cyclin B1 expression; subtype d is Cyclin (E, A, B1). The main Cyclin expression types of tumor cells and the distribution of corresponding subtypes were of no origin (P> 0.05). Conclusion The main types of Cyclins expression can be used as the basis for the classification of tumors from different tissues, which may be a more objective classification method reflecting the common features of different tumor cell cycle disruptions.