bcl-2、p53蛋白及PCNA表达与横纹肌肉瘤临床病理相关性研究

来源 :临床与实验病理学杂志 | 被引量 : 0次 | 上传用户:chzhao2005
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目的:研究横纹肌肉瘤(RMS)中bcl-2、p53、PCNA表达与其临床病理的相关性。方法:对50例(随访41例)横纹肌肉瘤进行免疫组化ABC法标记。结果:bcl-2、p53基因蛋白和PCNA,发现bcl-2、p53、PCNA阳性表达率分别为28%、72%、70%,其阳性表达与年龄、性别及不同组织类型的RMS无关(P>0.05)。但与分化程度有关,p53、PCNA在低分化RMS阳性率分别为85%、95%,显著高于高分化RMS42.8%和14.3%(P<0.05),随访存活1年以内的p53、PCNA阳性率均为86.7%,亦明显高于存活超过3年以上的阳性率33.3%和41.7%(P<0.05)。而bcl-2在低分化RMS阳性20%显著低于高分化71.4%(P<0.05),随访存活1年以内的阳性率13.4%明显低于存活超过3年以上的41.4%(P<0.05)。p53与bcl-2阳性表达呈明显负相关,p53阳性率越高,而bcl-2阳性率越低。结论:PCNA、p53、bcl-2蛋白表达能比较准确地反映RMS的生物学特性,p53、bcl-2可作为肿瘤预后显著相关的有效指标。 Objective: To study the relationship between bcl-2, p53 and PCNA expression and clinical pathology in rhabdomyosarcoma (RMS). Methods: Fifty cases (41 cases were followed up) of rhabdomyosarcoma were identified by immunohistochemical ABC method. Results: The expression rates of bcl-2, p53 and PCNA were found to be 28%, 72% and 70% respectively. The positive expression of bcl-2, p53 and PCNA was not related to age, gender and RMS of different tissue types (P). >0.05). However, related to the degree of differentiation, the positive rates of p53 and PCNA in poorly differentiated RMS were 85% and 95%, respectively, which were significantly higher than those of well-differentiated RMS 42.8% and 14.3% (P<0.05). Follow-up survival was within 1 year. The positive rate of p53 and PCNA was 86.7%, which was also significantly higher than the positive rate of 33.3% and 41.7% (P<0.05). The positive rate of bcl-2 in poorly differentiated RMS was 20%, which was significantly lower than that of highly differentiated 71.4% (P<0.05). The positive rate of follow-up survival within 1 year was 13.4%, which was significantly lower than that of survival exceeding 3 years. 41 .4% (P < 0.05). There was a significant negative correlation between the positive expression of p53 and bcl-2, the higher the positive rate of p53, and the lower the positive rate of bcl-2. Conclusion: The expression of PCNA, p53 and bcl-2 protein can accurately reflect the biological characteristics of RMS, and p53 and bcl-2 can be used as significant indicators of tumor prognosis.
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