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金黄地鼠颊囊癌前病变癌变的综合监测研究--DNA、SPF、AgNOR、PCNA及APO的研究
引用本文:王文梅,郑际烈,唐巍,周振英,黄晓峰,蒋文晖. 金黄地鼠颊囊癌前病变癌变的综合监测研究--DNA、SPF、AgNOR、PCNA及APO的研究[J]. 临床口腔医学杂志, 1999, 15(2)
作者姓名:王文梅  郑际烈  唐巍  周振英  黄晓峰  蒋文晖
作者单位:1. 210008南京,南京大学医学院附属口腔医院
2. 江苏省肿瘤病防治研究所
摘    要:目的评价DNA含量(DI)、倍体、S期细胞比例(SPF)、银染核仁形成区(AgNOR)、增殖细胞核抗原(PCNA)及细胞凋亡指数(APO)在口腔粘膜癌前病变癌变监测中的价值及临床应用意义。方法应用流式细胞仪(FCM)、免疫组化等方法对DMBA致地鼠颊囊粘膜癌前病变及癌变过程中的DNA含量、倍体、SPF、AgNOR及APO进行定量检测。结果在Ⅰ—Ⅳ组间(Ⅰ组为正常颊囊粘膜、Ⅱ组为上皮单纯增生、Ⅲ组为上皮异常增生、Ⅳ组为癌肿组)DNA含量、异倍体出现率、SPF、AgNOR计数及PCNA表达依次递增;APO指数随Ⅰ—Ⅲ组依次升高,Ⅳ组时下降。多元逐步判别分析,建立判别函数方程,回代判别准确率为90%。结论本实验结果提示综合监测为口腔粘膜癌前病变癌变的细胞动力学的动态规律的观察提供有益的资料,并对进一步从分子生物学水平研究癌前病变及其癌变将具有重要价值。

关 键 词:癌前状态  监测

Combinationof cell proliferation and apoptosis to predict malig nant potential of Golden Hamster cheek pouch premalignancy
Wang Wenmei,Zheng Jilie,Tang Wei,et al.. Combinationof cell proliferation and apoptosis to predict malig nant potential of Golden Hamster cheek pouch premalignancy[J]. Journal of Clinical Stomatology, 1999, 15(2)
Authors:Wang Wenmei  Zheng Jilie  Tang Wei  et al.
Affiliation:Wang Wenmei,Zheng Jilie,Tang Wei,et al.Affiliated Nanjing Stomatology Hospital of College of Nanjing University,Nanjing 210008
Abstract:Objective Combination of cell proliferation and apoptosis to predict malignant potential of DMBA-induced Goledn Hamster cheek pouch premalignancy.Methods DMBA-induced golden hamster cheek pouch carcinogenesis model was done.There were four histological types of the model inclouding normal,hyperplasia,dysplasia and carcinoma.DNA Index(DI),SPF,PCNA,AgNOR and apoptosis were detected by flow cytometry(FCM),immunohistochemical and histochemical methods.Results DI,SPF,PCNA and AgNOR indices were increased from normal to premalignancy but decreased after carcinogenesis.Then the discriminant function equation was found using these indices at 90.01 percent of backsubstitution accuracy.Conclusion The indices of DI,SPF,PCNA,AgNOR and apoptosis can reflect the cellular dynaic changes of Hamster cheek pouch carcinogenesis.They revealed the incipient celluar alterations which were not evident in routine pathological examine and contributed to the characterization of different states of carcinogenesis in this model.
Keywords:precancerous conditions forecasting
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