医学
乳腺癌
单变量分析
外科肿瘤学
内科学
癌症
肿瘤科
回顾性队列研究
鉴别诊断
癌症复发
多元分析
胃肠病学
病理
作者
Yuanqing Zhao,Xuelong Xie,Jingling Xie,Limei Zhang,Baolin Li,Jinbo Liu,Hui Jiang
摘要
A series of laboratory parameters were screened to identify the proper serum markers that could be used to predict breast cancer recurrence at an early stage.A case-control retrospective study on 224 patients without postoperative recurrence and 43 patients with postoperative recurrence of breast cancer was performed. The edgeR software package was used to identify the test indicators expressed differently between the two groups. Univariate analysis was used to screen for diagnostic marker that could predict postoperative recurrence of breast cancer. In addition, the differential test indicators at different time points from surgery to recurrence were collected in patients with postoperative recurrence of breast cancer as a verification database.We screened out three test indicators (TBA, GSP, and URBC) for differential expression, which were all expressed downregulated in the postoperative recurrence group of breast cancer. Univariate analysis suggested that only the difference in GSP levels between the two groups was statistically significant (P = 0.001). ROC curve analysis showed that the area under the curve of GSP was 0.662, while the area under the curve of GSP+AFP+CEA+CA125+CA153+age was increased to 0.828. In addition, serum GSP levels were significantly reduced after recurrence compared with before recurrence in breast cancer patients (P < 0.01).In summary, GSP could be used for early diagnosis of breast cancer recurrence after surgery, and the predicted value of combining GSP, tumor markers, and age was better than that of individual indicators.
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