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[目的]探讨蛋白质检测技术在乳腺导管内癌患者诊断中的应用价值。[方法]用SELDI-TOF-MS技术及配套蛋白质芯片检测40例乳腺导管内癌患者及40名健康者的血清蛋白质指纹图谱,建立诊断模型。[结果]3个蛋白质峰(质/荷比分别为4487.9、6468.1和7575.1)组合构建的诊断模型可鉴别乳腺导管内癌患者和健康者,灵敏度为92.50%(37/40),特异性为90.00%(36/40),阳性预测值为90.24%(37/41),阴性预测值为92.30%(36/39),准确率为91.25%(73/80)。[结论]SELDI-TOF-MS在乳腺导管内乳头状癌诊断尤其是早期诊断以及候选标志物筛选等方面具有一定价值,值得进一步深入研究。
[Objective] To investigate the value of protein detection in the diagnosis of intraductal carcinoma. [Method] Serum protein fingerprints of 40 cases of intraductal carcinoma and 40 healthy persons were detected by SELDI-TOF-MS and protein chip, and the diagnostic model was established. [Result] The diagnostic model constructed by combining three protein peaks (mass / charge ratio 4487.9,6468.1 and 7575.1 respectively) could distinguish breast cancer patients from healthy persons, the sensitivity was 92.50% (37/40) and the specificity was 90.00 % (36/40). The positive predictive value was 90.24% (37/41). The negative predictive value was 92.30% (36/39). The accuracy rate was 91.25% (73/80). [Conclusion] SELDI-TOF-MS has some value in the diagnosis, especially the early diagnosis of breast ductal papillary carcinoma and the screening of candidate markers, which deserves further study.