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首页> 外文期刊>World Journal of Gastroenterology >Multiple biomarkers of colorectal tumor in a differential diagnosis model: A quantitative study
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Multiple biomarkers of colorectal tumor in a differential diagnosis model: A quantitative study

机译:鉴别诊断模型中结直肠肿瘤的多种生物标志物:定量研究

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AIM: To evaluate the multiple biomarkers of colorectal tumor and their potential usage in early diagnosis of colorectal cancers. METHODS: Multiple biomarkers (DNA contents, AgNOR, PCNA, p53, c-erbB-2) in 10 normal colorectal mucosae, 37 colorectal adenomas and 55 colorectal cancers were analyzed quantitatively in the computed processing imaging system. Discrimination patterns were employed to evaluate the significance of single and multiple indices in diagnosis of colorectal cancers. RESULTS: The mean values of the analyzed parameters increased in order of the normal mucosa, adenoma and adenocarcinoma, and this tendency reflected the progression of colorectal malignancy. The parameters including DNA index, positive rates, densities of AgNOR, c-erbB-2, and p53, shape and density of nucleus were relatively valuable for diagnoses. Then a diagnostic discrimination model was established. The samples were confirmed with the model, the sensitivity rates in cancer group and adenoma group were 96.36% and 89.19%, respectively. The value of proliferating cell nuclear antigen (PCNA) in early diagnosis of colorectal cancers was uncertain. CONCLUSION: The quantitative evaluation of some parameters for colorectaf tumor can provide reproducible data for differential diagnosis. The established diagnostic discrimination model may be of clinicopathological value, and can make the early diagnosis of colorectal cancer possible.
机译:目的:评估大肠癌的多种生物标志物及其在大肠癌早期诊断中的潜在用途。方法:在计算机处理成像系统中定量分析了10种正常结直肠粘膜,37种结直肠腺瘤和55种结直肠癌中的多种生物标志物(DNA含量,AgNOR,PCNA,p53,c-erbB-2)。判别模式用于评估单项指标和多项指标在大肠癌诊断中的意义。结果:所分析参数的平均值按正常黏膜,腺瘤和腺癌的顺序增加,这种趋势反映了大肠恶性肿瘤的进展。 DNA指标,阳性率,AgNOR,c-erbB-2和p53的密度,细胞核的形状和密度等参数对于诊断相对有价值。然后建立诊断判别模型。经模型验证,癌症组和腺瘤组的敏感性分别为96.36%和89.19%。增殖细胞核抗原(PCNA)在大肠癌的早期诊断中的价值尚不确定。结论:定量评估结直肠癌某些参数可为鉴别诊断提供可重复的数据。建立的诊断鉴别模型可能具有临床病理学价值,并可能使大肠癌的早期诊断成为可能。

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