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The diagnostic value of combined detection of genetic markers and serum protein markers on breast cancer

机译:遗传标志物和血清蛋白标志物联合检测对乳腺癌的诊断价值

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摘要

Objective: The research is to explore the diagnostic value of several detection methods including separated and combined detection of the related genes and related proteins of breast cancer and combined detection of all genetic markers and serum protein markers on breast cancer. Method: The mRNA level expression of the related genes of breast cancer was detected by FQ-PCR technique and the ratio of BRCA-1, Myc, C-erbB2 and β2 micro-globulin was used to express levels of BRCA-1, Myc and C-erbB2; the related proteins of breast cancer were detected through ELISA. Then the research data was analyzed by SPSS19.0 software with t-test as comparison method, and ROC curve was used to calculate the sensitivity, specificity and accuracy of the diagnostic models. Result: No difference can be found among the six indexes in the control group and benign breast tumor group while compared with the benign breast tumor group and the control group, the breast cancer group was significantly different from them; combined detection of genes and that of proteins were both superior to their separated detection; all-marker combined detection was superior to separated detection, which is consistent with combined detection of genes and proteins. Conclusion: More detection indexes will not necessarily outcome better detection effect. Hence, appropriate detection indexes and number are needed to achieve better diagnosis effect. In order to conduct more specific method, more test samples are needed for further researches.
机译:目的:探讨分离,联合检测乳腺癌相关基因和相关蛋白,联合检测乳腺癌所有遗传标志物和血清蛋白标志物等几种检测方法的诊断价值。方法:采用FQ-PCR技术检测乳腺癌相关基因的mRNA水平表达,以BRCA-1,Myc,C-erbB2和β2微球蛋白的比值表达BRCA-1,Myc和β2微球蛋白水平。 C-erbB2; ELISA法检测乳腺癌的相关蛋白。然后采用SPSS19.0软件以t检验为比较方法对研究数据进行分析,并采用ROC曲线计算诊断模型的敏感性,特异性和准确性。结果:对照组和良性乳腺肿瘤组这六项指标均无差异,而乳腺癌组与良性乳腺肿瘤组和对照组相比差异有统计学意义。基因和蛋白质的联合检测均优于分离检测。全标记组合检测优于分离检测,这与基因和蛋白质的组合检测一致。结论:更多的检测指标不一定能带来更好的检测效果。因此,需要适当的检测指标和数量以达到更好的诊断效果。为了进行更具体的方法,需要更多的测试样品进行进一步的研究。

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