The Diagnostic Value of a Novel Model Combined Circulating Tumor Cells with Carbohydrate Antigen 125 in Epithelial Ovarian Cancer
Objective:To explore the diagnostic value of circulating tumor cells(CTCs)combined with carbohy-drate antigen 125(CA125)in epithelial ovarian cancer(EOC).Methods:Our study enrolled 160 EOC patients di-agnosed pathologically,and 100 patients without EOC(50 cases with benign ovarian tumors,and 40 cases were healthy)form Peking University Third Hospital between September 1,2023 to December 31,2020.The expression of CTCs was detected by using immunomagnetic bead separation method,and the expression of CA125 was test-ed through enzyme-linked immunosorbent assay.The optimal combination of the two diagnostic methods were analyzed by ROC curves.Results:①The sensitivity of CA125>35 U/ml and CTCs positive diagnosis for EOC in patients with or without EOC were 75.6%and 79.4%,and the specificity were 82.2%and 91.1%,respectively.The sensitivity of CA125>35 U/ml and CTCs positive diagnosis for EOC remained unchanged in patients with EOC or benign ovarian diseases,while the specificity decreased to 68.0%and 86.0%,respectively.②The tradi-tional parallel testing can increase the sensitivity of diagnosis to 95.0%,but reduce the specificity to 58.0%.The traditional serial test can increase the diagnostic specificity to 96.0%,but reduce the sensitivity to 60.0%.③The positive results of new diagnostic mode combined CTCs and CA125 were defined as:CA125≥90 U/ml or 25 U/ml<CA125<90 U/ml with positive CTCs.The diagnostic sensitivity and specificity of EOC were 88.8%and 86.0%.Conclusions:Either CTCs or CA125 has poor diagnostic efficiency when they were used alone,especially CA125.The traditional parallel or series tests can not improve the diagnostic efficiency.Our study suggests a new diag-nostic mode of CTCs and CA 125 which could significantly improve the sensitivity of diagnosis while avoiding the decreasion of specificity.
Circulating tumor cellsCarbohydrate antigen 125Epithelial ovarian cancerOvarian mass
国家科技期刊平台
NSTL
万方数据
